KR102261042B1 - Methods, Systems and Computer-Readable Medium for Messages Processing in Internet of Things Environment - Google Patents

Abstract

The present invention relates to a message processing method in an Internet of Things environment, a system thereof and a computer-readable medium thereof. More specifically, a service server includes a message queuing module and a message processing cluster module. The message queuing module receives and stores messages from an IoT device and distributes one or more messages, which can be processed in the message processing cluster module that processes the messages. The message processing cluster module classifies one or more received messages and processes corresponding data in each message processing module, thereby preventing overload of the service server.

Description

Methods, Systems and Computer-Readable Medium for Messages Processing in Internet of Things Environment

The present invention relates to a message processing method, system, and computer-readable medium in an IoT environment, and more particularly, a service server includes a message queuing module and a message processing cluster module, and the message queuing module is The message is received and stored, and one or more messages that can be processed are distributed to the message processing cluster module that processes the message, and the message processing cluster module classifies the received one or more messages and processes the corresponding data in each message processing module. , It relates to a message processing method, system and computer-readable medium in an Internet of Things environment, which can prevent overload of a service server.

According to Gartner, a global IT market research institute, the number of IoT devices reached 8.4 billion in 2017 and is expected to reach a maximum of 20.4 billion by 2020. The number of IoT devices is increasing significantly.

In this way, massive messages (data) generated by a large number of IoT devices are transmitted to the server of the IoT network, and the server may process the received data to provide a service to each subject of the network. In general, the size of data generated by IoT devices is relatively small, but as the number of IoT devices dramatically increases as described above, the amount of IoT messages (data) received from the server also increases significantly. Therefore, in order to process all messages received from the server, the server requires more and more resources.

On the other hand, when the server receives a message exceeding the resource of the server, the server becomes overloaded and a problem may occur in message processing performed by the server. In addition, in general, the server does not simply perform a role of processing messages from IoT devices, but performs various roles such as providing the processed message to each subject accepting the service or data processing with various separate applications. Therefore, if the server is overloaded due to a large number of messages from the IoT device, there is a risk that all services performed by the server may be stopped.

As a conventional method to solve such a problem, there is a method of expanding the resources of the server, but the cost for expanding the server is excessively generated, and it is actually difficult to increase the server indefinitely. In addition, as another conventional method, there is a method of integrally managing the load of each process for processing a message, but this method has a disadvantage in that it requires a significant amount of resources of the server in managing the load.

Therefore, there is a need to develop a new method that does not overload the server even when a large amount of messages are received from the IoT device and that the method for preventing overload does not require many resources on the server.

The present invention relates to a message processing method, system, and computer-readable medium in an IoT environment, and more particularly, a service server includes a message queuing module and a message processing cluster module, and the message queuing module is The message is received and stored, and one or more messages that can be processed are distributed to the message processing cluster module that processes the message, and the message processing cluster module classifies the received one or more messages and processes the corresponding data in each message processing module. , to provide a message processing method, system, and computer-readable medium in an Internet of Things environment, which can prevent overload of a service server.

In order to solve the above problems, an embodiment of the present invention is a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories, wherein the service server includes a message queuing module and one a message queuing step comprising one or more message processing cluster modules including the above message processing modules, and receiving and storing a plurality of messages transmitted from a plurality of IoT devices by the message queuing module; a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module; a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and a message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; It is possible to provide a message processing method in an IoT environment.

In one embodiment of the present invention, the message request step is for new processing derived based on the number of messages currently processed by the one or more message processing modules and the maximum number of messages that can be processed by the message processing cluster module. Message request information including the number of messages can be derived.

In one embodiment of the present invention, the message request step is a new process derived based on the load on the message currently processed by the one or more message processing modules and the load on the maximum message that can be processed by the message processing cluster module. It is possible to derive the message request information including the request load for the message for

In an embodiment of the present invention, each of the message processing modules may process two or more different processes, and the service server includes a load usage value according to the processing type of each message received from the plurality of IoT devices. is stored, and in the message distribution step, one or more messages to be transmitted to the corresponding message processing cluster module are derived based on the request load and the mapping table and transmitted to the message processing cluster module. .

In one embodiment of the present invention, in the message processing step, when the message processing module corresponding to the processing type of the classified message is not included in the message processing cluster module, a separate message processing module corresponding to the processing type It may include; a message processing module generating step for generating a.

In one embodiment of the present invention, the service server, when the number of a plurality of messages stored in the message queuing module exceeds a threshold value, a cluster performing a cluster generating step of creating a separate message processing cluster module; It may further include a management module.

In an embodiment of the present invention, the service server calculates an increase in the number of messages stored in the message queuing module for a preset time, and when the increase exceeds a threshold, a separate message processing cluster module It may further include a cluster management module for performing;

In order to solve the above problems, in an embodiment of the present invention, as a message processing system in an Internet of Things environment implemented by a service server including one or more processors and one or more memories, the service server includes a message queuing module and a message processing cluster module including one or more message processing modules, the message queuing step of receiving and storing a plurality of messages transmitted from a plurality of IoT devices by the message queuing module; a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module; a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and a message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; It is possible to provide a message processing system in an IoT environment.

In order to solve the above problems, in an embodiment of the present invention, a program for performing a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories described above is recorded. A computer-readable medium may be provided.

According to an embodiment of the present invention, the message queuing module primarily receives and stores messages transmitted from IoT devices and distributes the stored messages, so that it is possible to prevent overload of the service server.

According to an embodiment of the present invention, the message processing cluster module classifies the distributed one or more messages according to the processing type of the message, and the message processing module corresponding to the processing type of the classified message processes the message, so that the service It can exert the effect of efficiently using the server's resources.

According to an embodiment of the present invention, the message processing cluster module performs message queuing in consideration of the number of messages being processed by each message processing module included in the message processing cluster module and the maximum number of messages that can be processed by the message processing cluster module. Since message request information including the number of messages to be distributed is derived from the module, it is possible to exert the effect of preventing overload of the message processing cluster module.

According to an embodiment of the present invention, the message processing cluster module considers the load on the message being processed by each message processing module included in the message processing cluster module and the load on the maximum message that can be processed by the message processing cluster module. Since the message request information including the request load for the message to be distributed is derived from the message queuing module, the overload of the message processing cluster module can be prevented.

According to an embodiment of the present invention, when the message processing cluster module does not include a message processing module corresponding to the processing type of the classified message, a separate message processing module corresponding to the processing type is automatically generated, It is possible to exhibit the effect of improving the efficiency of the processing cluster module.

According to an embodiment of the present invention, since the cluster management module adds a separate message processing cluster module according to the number of messages stored in the message queuing module, it is possible to efficiently process received messages.

1 schematically illustrates a service server performing a message processing method in an Internet of Things environment and components communicating with the service server according to an embodiment of the present invention.
2 schematically shows the internal configuration of a message processing cluster module according to an embodiment of the present invention.
3 schematically shows steps for processing a message in an IoT environment according to an embodiment of the present invention.
4 schematically illustrates a process of generating message request information in the message request unit included in the message processing cluster module according to an embodiment of the present invention.
5 schematically illustrates a process of distributing a stored message using a mapping table in the message queuing module according to an embodiment of the present invention.
6 schematically illustrates a message processing module creation step of generating a separate message processing module in the message processing step according to an embodiment of the present invention.
7 schematically shows steps for creating a separate message processing cluster module in the cluster management module according to an embodiment of the present invention.
8 schematically illustrates message processing processes of a message processing module according to a message processing type according to an embodiment of the present invention.
9 schematically illustrates an internal configuration of a computing device according to an embodiment of the present invention.

Hereinafter, various embodiments and/or aspects are disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will also be recognized by one of ordinary skill in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings set forth in detail certain illustrative aspects of one or more aspects. These aspects are illustrative, however, and some of the various methods in principles of various aspects may be employed, and the descriptions set forth are intended to include all such aspects and their equivalents.

Further, various aspects and features will be presented by a system that may include a number of devices, components and/or modules, and the like. It is also noted that various systems may include additional devices, components, and/or modules, etc. and/or may not include all of the devices, components, modules, etc. discussed in connection with the figures. must be understood and recognized.

As used herein, “embodiment”, “example”, “aspect”, “exemplary”, etc. may not be construed as an advantage or advantage in any aspect or design described above over other aspects or designs. . The terms '~part', 'component', 'module', 'system', 'interface', etc. used below generally mean a computer-related entity, for example, hardware, hardware A combination of and software may mean software.

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements, and/or groups thereof. should be understood as not

Also, terms including an ordinal number, such as first, second, etc., may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, the 'message' described in the present invention may include all kinds of communication data transmitted from the IoT device on the IoT network to the service server.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are generally understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning as Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the embodiment of the present invention, an ideal or excessively formal meaning is not interpreted as

1 schematically illustrates a service server 1000 performing a message processing method in an Internet of Things environment and components communicating with the service server 1000 according to an embodiment of the present invention.

As shown in FIG. 1 , a plurality of IoT devices 2000 communicate with the service server 1000 and transmit various messages generated by the IoT device 2000 to the service server 1000 . In this way, in order to perform communication between the IoT device 2000 and the service server 1000, LoRaWAN (LoRa Wide Area Network), LTE-M, Narrowband-IoT (NB-IoT), ZigBee, Bluetooth Low Energy (BLE) and Various communication networks generally used in the same IoT network are used, and various protocols such as Message Queuing Telemetry Transport (MQTT), Constrained Application Protocol (CoAP), and HTTP can be used to transmit and receive messages.

Meanwhile, the IoT device 2000 may correspond to any type of device capable of performing communication, including various types of embedded systems such as home appliances, mobile devices, and wearable devices. As shown in FIG. 1 , the IoT device 2000 includes a lighting-related IoT device 2100 , an image-related IoT device 2200 , a power-related IoT device 2300 , a temperature-related IoT device 2400 and The air purification-related IoT device 2500 may be included, and in addition, all kinds of IoT devices 2000 may be included. The message transmitted from the IoT device 2000 may transmit a bidirectional message, such as requesting a response message to the corresponding message from the receiving service server 1000, but preferably, the IoT device 2000 A unidirectional push type message is transmitted to the service server 1000 .

The service server 1000 receives the message generated by the IoT device 2000 . As shown in FIG. 1 , the service server 1000 may receive a corresponding message directly from the IoT device 2000 , and although not shown in FIG. 1 , communication between the IoT device 2000 and the service server 1000 . The service server 1000 may receive the corresponding message through the gateway that mediates the .

Specifically, the message queuing module 1100 included in the service server 1000 receives and stores a message transmitted from the IoT device 2000, and in each message processing cluster module 1200, which will be described later, the stored message. It serves to distribute based on the message request information to be transmitted. On the other hand, the message queuing module 1100 may store the received messages in various ways, but preferably, sequentially store them according to the received order, and sequentially distribute the first stored messages from the First In, First Out (FIFO). ) can also be implemented in this way.

Therefore, messages are stored in the first place through the message queuing module 1100 and then distributed to each message processing cluster module 1200 that processes the messages, thereby stably processing the messages in response to the amount of receiving messages changing in real time. As a result, it is possible to prevent overload of the service server 1000 and to effectively use resources or loads of the service server 1000 . Meanwhile, a detailed process of message distribution in the aforementioned message queuing module 1100 will be described later.

The message processing cluster module 1200 included in the service server 1000 derives message request information for requesting a message to be newly processed and transmits it to the message queuing module 1100, and in the message queuing module 1100 It handles the received message according to the message distribution. On the other hand, the service server 1000 may include one or more message processing cluster modules 1200, and when a plurality of message processing cluster modules 1200 are included in the service server 1000, each message processing cluster Since the module 1200 processes messages in parallel, it is possible to achieve the effect of stably processing messages. Meanwhile, the process of processing a message in the message processing cluster module 1200 will be described in detail with reference to FIG. 2 .

The cluster management module 1300 serves to generate a separate message processing cluster module 1200 in consideration of the amount of messages stored in the message queuing module 1100 . Specifically, the cluster management module 1300 may generate a separate message processing cluster module 1200 according to the amount of messages stored in the message queuing module 1100, but preferably, it is available in the service server 1000. It is possible to create a separate message processing cluster module 1200 in consideration of resources. Therefore, in order to be additionally generated by the cluster management module 1300, the message processing cluster module 1200 is preferably configured in software. Do.

In addition, the service server 1000 may further include a DB 1400 , and a mapping table 1410 and processing data 1420 may be stored in the DB 1400 . Specifically, the mapping table 1410 includes a load or resource usage value according to a processing type of each message received from the IoT device 2000, and the message queuing module 1100 includes the message processing cluster module 1200. ), a part of the stored message may be distributed to the corresponding message processing cluster module 1200 based on the message request information received from the mapping table 1410 and the mapping table 1410 .

Meanwhile, the processing data 1420 corresponding to the message processed by the message processing cluster module 1200 may also be stored in the DB 1400 . As such, the one or more processed data 1420 stored in the DB 1400 may be used in various forms. For example, one or more messages transmitted from the temperature-related IoT device 2400 may be stored in the DB 1400 as processed data 1420, and the corresponding processed data 1420 may be utilized to derive an average temperature. have. In addition, one or more messages transmitted from the image-related IoT device 2200 may be stored in the DB 1400 as processed data 1420, and the processed data 1420 is used for learning objects or people included in the image. It can be used as learning data.

Meanwhile, the internal configuration of the service server 1000 shown in FIG. 1 corresponds to an embodiment for easily explaining a message processing method in an IoT environment, and communication with a separate application other than the IoT device 2000 . It may further include additional components, such as an element for processing data through the .

2 schematically shows the internal configuration of a message processing cluster module 1200 according to an embodiment of the present invention.

2, the message processing cluster module 1200 may include a message request unit 1210, a message classification unit 1220, one or more message processing modules 1230, and a message processing module management unit 1240. have.

The message requesting unit 1210 derives message request information for requesting one or more messages to be newly processed in consideration of the message throughput in one or more message processing modules 1230 included in the corresponding message processing cluster module 1200 . and transmits the message request information to the message queuing module 1100 . In addition, one or more messages transmitted from the message queuing module 1100 based on the corresponding message request information are received.

When the message requesting unit 1210 receives one or more messages transmitted by the message queuing module 1100 , the one or more messages received by the message classifying unit 1220 and the one or more message processing modules 1230 . can be processed. Specifically, the message classifying unit 1220 classifies one or more received messages according to the message processing type.

The processing type of the message is, for example, when the temperature-related IoT device 2400 transmits a message including the current temperature information, it is determined whether the current temperature is higher than the set temperature, and when it is high, a series of messages to derive warning information Like the processing method of , it corresponds to a type for processing in order to derive a result according to a message transmitted from the IoT device 2000 .

The message processing type may be classified according to the type of the IoT device 2000, but preferably even the same type of IoT device 2000 provides a service according to the message of the corresponding IoT device 2000 or the corresponding message. Depending on the setting of the receiving subject, the processing type may be different. For example, even though the image-related IoT device 2200 is the same type of IoT device, the specific image-related IoT device 2200 may transmit a message for detecting the motion of an object in the image, and another image-related IoT device 2200 may be used. The IoT device 2200 may transmit a message for identifying a person in the image. Therefore, message processing types can be classified according to a message processing method in order to obtain a specific result.

Meanwhile, the message processing module 1230 processes the message classified by the message classification unit 1220 , and each of the message processing modules 1230 may process a specific processing type among the processing types of the classified message. For example, the specific message processing module 1230 may compare the sensed temperature information included in the message with a preset temperature and perform a processing type of generating warning information when it is high, and another specific message processing module 1230 ) assumes that it is possible to perform a processing type of calculating the amount of accumulated power according to the power information included in the message, and includes sensed temperature information for generating warning information about the temperature in the message requesting unit 1210 When receiving a message including a message and power information for calculating the accumulated power amount, the message classifying unit 1220 classifies each message according to the processing type of the warning information and the accumulated power amount according to the processing type of the message and , the message processing module 1230 for generating the warning information processes the message classified as the processing type for the warning information, and the message processing module 1230 for calculating the accumulated power amount processes the message classified as the processing type for the accumulated power amount. can be processed

The message processing module management unit 1240 serves to manage one or more message processing modules 1230 included in the message processing cluster module 1200 . Specifically, the message processing module management unit 1240 may additionally generate a separate message processing module 1230 according to each processing type of the message classified by the message classification unit 1220 or the number of messages for each processing type. can In addition, the message processing module management unit 1240 may additionally create a separate message processing module 1230 in consideration of the currently available resources of the service server 1000, and thus the message processing module management unit 1240 Through this, it is possible to exhibit the effect of efficiently processing a message without generating an overload of the service server 1000, and the message processing module 1230 can be automatically generated by the message processing module management unit 1240. It is desirable to be configured in software so that

3 schematically shows steps for processing a message in an IoT environment according to an embodiment of the present invention.

As shown in FIG. 3 , as a message processing method in an Internet of Things environment performed in a service server 1000 including one or more processors and one or more memories, the service server 1000 includes a message queuing module 1100 and It includes one or more message processing cluster modules 1200 including one or more message processing modules 1230, and receives a plurality of messages transmitted from a plurality of IoT devices 2000 by the message queuing module 1100. a message queuing step to store; By the message processing cluster module 1200, the message queuing module 1100 derives message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules 1230. ) to send a message request step; A message distribution step of transmitting, by the message queuing module 1100, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module 1200 to the message processing cluster module 1200 ; and by the message processing cluster module 1200, classifying one or more messages received through the message distribution step according to the message processing type, and processing the classified message in the message processing module 1230 corresponding to the processing type message processing step; may include.

Specifically, the message queuing module 1100 included in the service server 1000 receives a plurality of messages transmitted from the IoT device 2000 ( S10 ). The IoT device 2000 may be provided in one or more number, and each IoT device 2000 generates various types of data requiring various processing types and transmits it to the message queuing module 1100 . can

The message queuing module 1100 stores a plurality of messages received from the IoT device 2000 (S11). In the storage method of a plurality of received messages, they are stored in the order they are received first, and are sequentially distributed to each message processing cluster module 1200 from the first received message according to the message request of the message processing cluster module 1200. A method of a generally used queue system of a First In, First Out method can be used, and in addition, various commonly used storage methods can be used.

The message processing cluster module 1200 derives message request information for requesting one or more messages to be newly processed (S12), and transmits the derived message request information to the message queuing module 1100 (S13). Specifically, the message request unit 1210 of the message processing cluster module 1200 considers the message processing amount of one or more message processing modules 1230 included in the corresponding message processing cluster module 1200 to newly process 1 The message request information for requesting the above message is derived and transmitted to the message queuing module 1100 .

The message request information includes the number of messages currently processed by one or more message processing modules 1230 included in the corresponding message processing cluster module 1200 or a load (resource) for the currently processed message and the corresponding message processing cluster module 1200. ) can be derived based on the maximum number of messages that can be processed or the load (resource) required for maximally processing the messages.

Upon receiving the message request information from the message processing cluster module 1200, the message queuing module 1100 derives one or more messages based on the message request information (S14). For example, when the message request information requests 100 messages, the message queuing module 1100 may derive 100 messages from among the stored messages. Alternatively, when the message request information includes a request load of 70, the message queuing module 1100 may derive the number of messages corresponding to the request load of 70 among stored messages.

In this way, the message queuing module 1100 transmits (S15) one or more messages derived based on the message request information to the message processing cluster module 1200 that has transmitted the corresponding message request information to the message queuing module 1100. It enables the stored message to be distributed to each message processing cluster module 1200 .

On the other hand, the message request unit 1210 of the message processing cluster module 1200 receives one or more messages, and the message classification unit 1220 processes each of the one or more messages received from the message request unit 1210 according to the processing type. Sort (S16).

One or more messages classified by processing type by the message classifying unit 1220 are processed by a predetermined processing method in the message processing module 1230 corresponding to each processing type (S17). In this way, the messages transmitted from the IoT device 2000 may be processed by the message processing module 1230, and the processing data 1420 of the message derived from the message processing module 1230 provides a service for the message. It may be provided to a subject to be provided, or separate service information may be derived based on the processing data 1420 and provided to the subject.

4 schematically illustrates a process of generating message request information in the message request unit 1210 included in the message processing cluster module 1200 according to an embodiment of the present invention.

As shown in FIG. 4 , the message request step is based on the load on the message currently processed by the one or more message processing modules 1230 and the load on the maximum message that can be processed by the message processing cluster module 1200 . Thus, it is possible to derive message request information including a request load for a message to be newly processed.

Specifically, the message requesting unit 1210 performing the message requesting step is configured to load a message currently processed by one or more message processing modules 1230 included in the corresponding message processing cluster module 1200 and the corresponding message processing cluster module. In step 1200 , message request information including a request load for a message to be newly processed is derived based on the load for processing the maximum message.

The message request unit 1210 receives information on the load for the message currently processed from each of the one or more message processing modules 1230 included in the corresponding message processing cluster module 1200, and receives the corresponding message processing cluster module 1200. Information on the load of all messages currently processed, or the load of the message processing cluster module 1200 as a whole from the message processing cluster module 1200 or the service server 1000 Information may also be received directly.

On the other hand, the message request unit 1210 calculates information on the load for processing the maximum message based on the number of one or more message processing modules 1230 included in the corresponding message processing cluster module 1200, or Information on the load for processing the maximum message in the message processing cluster module 1200 may be directly received from the message processing cluster module 1200 or the service server 1000 .

Thereafter, the message request unit 1210 derives message request information including the request load based on the load for the message currently processed by the message processing cluster module 1200 and the load for processing the maximum message.

Specifically, the request load corresponds to a load (resource) for processing a new message in the message processing cluster module 1200, and the message request unit 1210 is the maximum message that can be processed in the message processing cluster module 1200. The requested load may be derived based on the difference between the load on the , and the load on the message currently processed by the message processing cluster module 1200 .

Preferably, the message request unit 1210 not only the difference between the load for the maximum message that can be processed in the corresponding message processing cluster module 1200 and the load on the message currently processed by the corresponding message processing cluster module 1200, but also The requested load may be derived by further considering the load (resource) available in the service server 1000 . For example, when the difference is greater than the load available in the service server 1000 , the message requesting unit 1210 may derive the request load within the available load.

In another embodiment of the present invention, since the service server 1000 can perform various operations such as processing data received from other applications as well as processing messages from the IoT device 2000, the message requesting unit 1210 may derive the request load by further considering a load (resource) that can be additionally allocated to the corresponding message processing cluster module 1200 in the service server 1000 . Accordingly, it is possible to exhibit the effect of processing the message generated by the IoT device 2000 without impairing the functions of other services provided by the service server 1000 .

The message queuing module 1100 receives the message request information including the request load from the message request unit 1210, calculates the number of messages according to the request load, and sends one or more messages calculated to the corresponding message processing cluster module 1200. , and methods of calculating the number of messages according to the request load will be described later with reference to FIG. 5 .

On the other hand, as another embodiment of the present invention for deriving message request information from the message request unit 1210 , the message request step includes the number of messages currently processed by the one or more message processing modules 1230 and the message Message request information including the number of messages to be newly processed may be derived based on the maximum number of messages that can be processed by the processing cluster module 1200 .

Specifically, in the message request unit 1210, in addition to the method of deriving message request information according to the load in the message processing cluster module 1200 as described above, the number of messages currently processed by the message processing cluster module 1200 and Based on the number of processable messages, message request information including the number of messages to be newly processed may be derived.

The number of messages to be newly processed corresponds to the number of messages that can be newly processed by the message processing cluster module 1200, and the message requesting unit 1210 is configured in the message processing cluster module 1200. Based on the difference between the maximum number of messages that can be processed and the number of messages currently processed by the corresponding message processing cluster module 1200, the number of messages to be newly processed can be derived.

In this way, when the message request unit 1210 derives message request information including the number of messages to be newly processed by the corresponding message processing cluster module 1200 and transmits it to the message queuing module 1100, the Since the message queuing module 1100 can distribute as much as the number of messages included in the message request information among the stored messages to the corresponding message processing cluster module 1200, even if the message queuing module 1100 does not perform a complex operation It can have the effect of distributing the message.

5 schematically illustrates a process of distributing a stored message using the mapping table 1410 in the message queuing module 1100 according to an embodiment of the present invention.

As shown in FIG. 5 , each of the message processing modules 1230 can process two or more different processes, and the service server 1000 includes each message received from the plurality of IoT devices 2000 . A mapping table 1410 including a load usage value according to a message processing type is stored, and the message distribution step is performed in the message processing cluster module 1200 based on the request load and the mapping table 1410. One or more messages to be transmitted may be derived and transmitted to the message processing cluster module 1200 .

Specifically, (A) of FIG. 5 corresponds to a diagram illustrating an embodiment of a mapping table 1410 used for distributing messages in the message queuing module 1100, and (B) of FIG. 5 is message queuing This corresponds to a diagram schematically illustrating a process of deriving one or more messages among stored messages using the mapping table 1410 in the module 1100 .

The mapping table 1410 is stored in the DB 1400 of the service server 1000, and the processing type of each message is set in the mapping table 1410, and the processing type of each message is required for processing. Load usage values are mapped.

For example, a load use value for processing a series of processing types that generate warning information when the corresponding temperature information is higher than the preset temperature information based on a message including the temperature information at the sensing time generated by the temperature sensor may correspond to 10. In addition, the load use value for processing a series of processing types for learning the user's lighting brightness for each time period based on the illuminance information at the sensing time point generated by the illuminance sensor may correspond to 30.

In this way, the mapping table 1410 may be mapped to a processing type of each message generated by the IoT device and a load (resource) usage value for calculating the corresponding processing type.

On the other hand, a message generated by a specific sensor or IoT device may not correspond to only one processing type. For example, even if it is a message including temperature information generated by the same temperature sensor, as in the previous example, the message may correspond to a processing type that generates warning information when higher than preset temperature information, or It may correspond to a processing type for generating a temperature change of a position sensed by the temperature sensor.

Therefore, even for messages generated by the same IoT device, the processing type of the message may be different, and the information on the processing type for each message is included in the message itself generated by the IoT device, or the IoT device uses the service server (1000). ), or may be set by a subject who wants to receive a service based on information generated by the IoT device.

As shown in FIG. 5B, the message queuing module 1100 receives the message request information including the request load from the message request unit 1210 of the message processing cluster module 1200. A message to be transmitted to the corresponding message processing cluster module 1200 may be derived based on the mapping table 1410 .

Specifically, the message queuing module 1100 configures the mapping table 1410 so that the sum of the load usage values of each of one or more messages to be transmitted to the corresponding message processing cluster module 1200 in the plurality of stored messages corresponds to the request load. ) can be used to derive the one or more messages.

For example, the processing type of each of the plurality of messages sequentially stored in the message queuing module 1100 like the processing type of the message shown in (A) of FIG. 5 is 'processing type for the message of the temperature sensor', It is assumed that 'processing type for message from light sensor', 'processing type for message from temperature sensor' and 'processing type for message from power sensor'.

On the other hand, when the message queuing module 1100 receives the message request information including the request load of 40 from the message requesting unit 1210, the message queuing module 1100 uses the total load through the mapping table 1410. It is possible to produce a message having a total load usage value closest to 40 without exceeding 40 corresponding to the requested load.

Therefore, in the mapping table 1410 shown in (A) of FIG. 5, the load use value of 'Processing type for message from temperature sensor' is 10, and 'Processing type for message from illuminance sensor' is 30, so first-in In the case of the message queuing module 1100 of the election method, the message corresponding to the 'processing type for the temperature sensor's message' (load use value 10) and 'processing type for the message from the illuminance sensor' ( A message corresponding to the load use value 30) may be derived and transmitted to the corresponding message processing cluster module 1200 .

On the other hand, it is the same as the above assumption, but when the message queuing module 1100 receives message request information including a request load of 15 from the message request unit 1210, in the case of the first-in-first-out message queuing module 1100 First, only a message corresponding to the stored 'processing type of the temperature sensor message' (load use value 10) may be derived and transmitted to the corresponding message processing cluster module 1200 . In this case, the derived total load use value corresponds to 10, and the requested load corresponds to 15, which does not satisfy the requested load of 5, but the load use value of 'Processing Type for Messages from Light Sensor' stored next Since this is 30, when the corresponding message is derived, it cannot be transmitted because it exceeds the value of the request load.

In another embodiment of the present invention, when the messages stored in the message queuing module 1100 can be arbitrarily derived and distributed regardless of order, one or more messages closest to the request load value are derived regardless of the order of storage. Thus, it may be transmitted to the corresponding message processing cluster module 1200 .

In this way, the message request unit 1210 derives the message request information including the request load from the viewpoint of the load (resource) in the one or more message processing modules 1230, and the request load in the message queuing module 1100 Since one or more messages from among the stored messages can be derived and one or more messages derived from the message processing cluster module 1200 can be transmitted, it is possible to exert the effect of more efficiently utilizing the resources of the service server 1000 have.

Meanwhile, the message requesting step performed by the message requesting unit 1210 derives the message request information according to a preset period, or the message requesting unit 1210 performs the message queuing according to the previously derived message request information. Whenever one or more messages are received from the module 1100, the message request step may be performed to derive the message request information.

Preferably, the configuration for deriving the message request information according to a preset period and the configuration for deriving the message request information every time one or more messages according to the previously derived message request information are received include the message requesting unit ( 1210) can be used. For example, when the message request information is first derived and transmitted to the message queuing module 1100, the message request information is derived and transmitted according to a preset period, and from the message queuing module 1100 according to the corresponding message request information. When one or more messages are received, new message request information may be derived.

6 schematically illustrates a message processing module generation step of generating a separate message processing module 1230 in the message processing step according to an embodiment of the present invention.

As shown in FIG. 6 , the message processing step corresponds to the processing type when the message processing module 1230 corresponding to the processing type of the classified message is not included in the message processing cluster module 1200 . and a message processing module generating step of generating a separate message processing module 1230.

Specifically, each of the one or more messages received from the message queuing module 1100 by the message classification unit 1220 is classified according to the processing type of the message, and the message processing module management unit 1240 corresponds to the processing type of the classified message. It is determined whether the message processing module 1230 is included in the corresponding message processing cluster module 1200 (S20).

When the message processing module 1230 corresponding to the processing type classified through the step S20 is included, the message classified by the corresponding processing type is processed in the corresponding message processing module 1230.

On the other hand, if the message processing module 1230 corresponding to the classified processing type is not included, the message processing module management unit 1240 generates a separate message processing module 1230 corresponding to the processing type (S21). do.

In another embodiment of the present invention, the message processing module management unit 1240 includes a case in which the message processing module 1230 corresponding to the classified processing type does not exist, and the number of messages classified as a specific processing type exceeds the preset number. Alternatively, if there are more than the maximum number of processing of the message processing module 1230 corresponding to the processing type, a message processing module 1230 corresponding to the processing type may be additionally generated to process the classified message more quickly. .

On the other hand, the number of message processing modules 1230 generated by the message processing module management unit 1240 is generated only by a preset maximum number, or the maximum number that can be generated in consideration of the available load (resource) of the service server 1000 . can be determined. In addition, the message processing module management unit 1240 removes or otherwise processes the message processing module 1230 that does not process a message during a preset period among the message processing modules 1230 included in the corresponding message processing cluster module 1200. It may be changed to the message processing module 1230 corresponding to the type. Accordingly, the message processing cluster module 1200 through the message processing module management unit 1240 can exhibit the effect of responding to the processing of one or more actively distributed messages.

7 schematically shows steps for creating a separate message processing cluster module 1200 in the cluster management module 1300 according to an embodiment of the present invention.

FIG. 7A is a diagram illustrating a configuration of storing a message received from the IoT device 2000 in the message queuing module 1100 according to an embodiment of the present invention.

Specifically, the message queuing module 1100 shown in FIG. 7A corresponds to a first-in-first-out queue system, and messages M #1, M #2, and M sequentially received from the IoT device 2000. When #N is stored sequentially and one or more messages among the stored messages are distributed according to the message request information, one or more messages may be distributed in the order of the first stored.

Meanwhile, in another embodiment of the present invention, messages received from the IoT device 2000 may be stored, and one or more messages may be distributed to the message processing cluster module 1200 irrespective of the stored order.

FIG. 7B is a diagram illustrating an embodiment of a method for generating a separate message processing cluster module 1200 in the cluster management module 1300 .

As shown in (B) of Figure 7, the service server 1000, when the number of a plurality of messages stored in the message queuing module 1100 exceeds a threshold value, a separate message processing cluster module ( It may further include a cluster management module 1300 for performing; cluster generation step of generating (1200).

Specifically, the cluster management module 1300 determines whether the number of messages stored in the message queuing module 1100 exceeds a preset threshold (S30). Meanwhile, the cluster management module 1300 may directly derive information on the number of messages stored in the message queuing module 1100 or receive it from the message queuing module 1100 .

On the other hand, when it is determined that the number of messages stored in the message queuing module 1100 exceeds a preset threshold value, the cluster management module 1300 generates a separate message processing cluster module 1200 (S31) do.

In another embodiment of the present invention, when the number of messages stored in the message queuing module 1100 is reduced below a threshold value after the cluster management module 1300 creates a separate message processing cluster module 1200 The additionally generated message processing cluster module 1200 may be removed.

Accordingly, since the message processing cluster module 1200 can be dynamically generated according to the number of messages stored in the message queuing module 1100 by the cluster management module 1300, overload of the service server 1000 is caused. It is possible to exert the effect of efficiently processing the message without doing so.

FIG. 7C is a diagram illustrating another embodiment of a method for generating a separate message processing cluster module 1200 in the cluster management module 1300 .

As shown in (C) of FIG. 7, the service server 1000 calculates an increase in the number of messages stored in the message queuing module 1100 for a preset time, and the increase is a threshold value. When it exceeds, the cluster management module 1300 for performing; a cluster generation step of generating a separate message processing cluster module 1200 may be further included.

Specifically, the cluster management module 1300 calculates an increase in the number of messages stored in the message queuing module 1100 for a preset time (S40). Meanwhile, the cluster management module 1300 may directly derive information for each time period on the number of messages stored in the message queuing module 1100 or may receive it from the message queuing module 1100 .

Thereafter, the cluster management module 1300 determines whether the calculated increase amount for a preset time exceeds a separately preset threshold value (S41), and when it is determined that the increase amount exceeds a preset threshold value, the cluster management The module 1300 creates a separate message processing cluster module 1200 (S42).

In another embodiment of the present invention, the cluster management module 1300 generates a separate message processing cluster module 1200 according to the increase amount, and then for a preset time of the number of messages stored in the message queuing module 1100. When the increase amount of is reduced to less than the threshold value, the additionally generated message processing cluster module 1200 may be removed.

Meanwhile, in another embodiment of the present invention, the cluster management module 1300 is a method of generating a separate message processing cluster module 1200 in the cluster management module 1300 shown in (B) of FIG. and the method of generating a separate message processing cluster module 1200 in the cluster management module 1300 shown in FIG. 7C may be combined and used.

For example, the cluster management module 1300 determines that the total number of messages stored in the message queuing module 1100 exceeds a first threshold, and the amount of increase in the total number of messages exceeding the first threshold is the second. A separate message processing cluster module may be created when the threshold value of 2 is exceeded, and through such a configuration, the cluster management module 1300 is a separate message processing cluster module 1200 when a more stringent condition is satisfied. can be created, it is possible to exert the effect of using the resources of the service server 1000 more efficiently.

In addition, in an embodiment of the present invention, a separate message processing cluster module 1200 is primarily generated according to the number or increase in the number of messages stored in the message queuing module 1100, and as described in FIG. 6, 2 Specifically, since a separate message processing module 1230 is generated according to the number of messages distributed or received by the message processing module management unit 1240 included in the message processing cluster module 1200 or the type of message processing, the received message Accordingly, it is possible to exert the effect of more flexible message processing.

8 schematically illustrates message processing processes of the message processing module 1230 according to a message processing type according to an embodiment of the present invention.

FIG. 8A corresponds to a diagram illustrating a step of processing a message generated by an IoT device based on a temperature sensor in a specific message processing module 1230 according to an embodiment of the present invention.

The message processing module 1230 corresponding to the processing type of the message performs a step (S50) of receiving a message generated by the IoT device based on the temperature sensor through the message processing step.

Thereafter, the corresponding message processing module 1230 performs a step S51 of calculating average temperature information based on messages transmitted from the corresponding IoT device for the last one hour. A message transmitted in the past from the IoT device or processing data for the message is stored in the DB 1400 of the service server 1000 and may be called by the message processing module 1230 .

Comparing the average temperature information calculated in step S51 and the temperature information included in the message input in step S50 (S52), and generating alarm information when the temperature difference exceeds a preset threshold (S53) ) is performed.

As described above, the alarm information generated by the message processing module 1230 may be provided to a subject who wants to receive a service from the corresponding IoT device.

FIG. 8B is a diagram illustrating a step of processing a message generated by an IoT device based on an illuminance sensor in another specific message processing module 1230 according to an embodiment of the present invention.

The message processing module 1230 corresponding to the processing type of the corresponding message performs a step (S60) of receiving a message generated by the IoT device based on the illumination sensor through the message processing step.

Thereafter, a step (S61) of classifying according to time information included in the received message and storing illuminance value information according to the classified time information is performed. The illuminance value information according to the classified time information may be stored in the DB 1400 of the service server 1000 .

On the other hand, the message processing module 1230 performs the step (S62) of learning the illuminance value information according to a plurality of time information stored in the DB (1400). Through corresponding learning, it is possible to derive result information that results in an appropriate illuminance value of a space using the IoT device based on the illuminance sensor, and the message processing module 1230 stores the derived result information. (S63) is performed.

As described above, the result information stored by the message processing module 1230 may be provided to a subject who wants to receive a service from the corresponding IoT device.

8(A) and (B) only correspond to diagrams showing an embodiment of a message processing method performed by the message processing module 1230 corresponding to the processing type of each message, and the message processing type or The message processing method is not limited thereto. In addition, the processing type of a message generated by a specific IoT device is not limited to one processing type, and even a message generated by the same IoT device may be classified into various processing types.

9 schematically illustrates an internal configuration of a computing device according to an embodiment of the present invention.

The above-described service server 1000 illustrated in FIG. 1 may include components of the computing device illustrated in FIG. 9 .

9, the computing device 11000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, an input/output subsystem ( I/O subsystem) 11400 , a power circuit 11500 , and a communication circuit 11600 may be included at least. In this case, the computing device 11000 may correspond to the service server 1000 illustrated in FIG. 1 .

The memory 11200 may include, for example, a high-speed random access memory, a magnetic disk, an SRAM, a DRAM, a ROM, a flash memory, or a non-volatile memory. have. The memory 11200 may include a software module, an instruction set, or other various data necessary for the operation of the computing device 11000 .

In this case, access to the memory 11200 from other components such as the processor 11100 or the peripheral interface 11300 may be controlled by the processor 11100 .

Peripheral interface 11300 may couple input and/or output peripherals of computing device 11000 to processor 11100 and memory 11200 . The processor 11100 may execute a software module or an instruction set stored in the memory 11200 to perform various functions for the computing device 11000 and process data.

The input/output subsystem may couple various input/output peripherals to the peripheral interface 11300 . For example, the input/output subsystem may include a controller for coupling peripherals such as a monitor or keyboard, mouse, printer, or a touch screen or sensor as needed to the peripheral interface 11300 . According to another aspect, input/output peripherals may be coupled to peripheral interface 11300 without going through an input/output subsystem.

The power circuit 11500 may supply power to all or some of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or a power source. It may include any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, if necessary, the communication circuit 11600 may transmit and receive an RF signal, also known as an electromagnetic signal, including an RF circuit, thereby enabling communication with other computing devices.

This embodiment of FIG. 9 is only an example of the computing device 11000, and the computing device 11000 may omit some components shown in FIG. 9 or further include additional components not shown in FIG. 9, or 2 It may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 9 , and may include various communication methods (WiFi, 3G, LTE) in the communication circuit 11600 . , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 11000 may be implemented as hardware, software, or a combination of both hardware and software including an integrated circuit specialized for one or more signal processing or applications.

Methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in computer-readable media. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. The application to which the present invention is applied may be installed in the user terminal through a file provided by the file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of the user terminal.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computing devices, and may be stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

According to an embodiment of the present invention, the message queuing module primarily receives and stores messages transmitted from IoT devices and distributes the stored messages, so that it is possible to prevent overload of the service server.

According to an embodiment of the present invention, the message processing cluster module classifies the distributed one or more messages according to the processing type of the message, and the message processing module corresponding to the processing type of the classified message processes the message, so that the service It can exert the effect of efficiently using the server's resources.

According to an embodiment of the present invention, the message processing cluster module performs message queuing in consideration of the number of messages being processed by each message processing module included in the message processing cluster module and the maximum number of messages that can be processed by the message processing cluster module. Since message request information including the number of messages to be distributed is derived from the module, it is possible to exert the effect of preventing overload of the message processing cluster module.

According to an embodiment of the present invention, the message processing cluster module considers the load on the message being processed by each message processing module included in the message processing cluster module and the load on the maximum message that can be processed by the message processing cluster module. Since the message request information including the request load for the message to be distributed is derived from the message queuing module, the overload of the message processing cluster module can be prevented.

According to an embodiment of the present invention, when the message processing cluster module does not include a message processing module corresponding to the processing type of the classified message, a separate message processing module corresponding to the processing type is automatically generated, It is possible to exhibit the effect of improving the efficiency of the processing cluster module.

According to an embodiment of the present invention, since the cluster management module adds a separate message processing cluster module according to the number of messages stored in the message queuing module, it is possible to efficiently process received messages.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (9)

As a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories,
The service server includes one or more message processing cluster modules including a message queuing module and one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The message request step is
A thing for deriving message request information including the number of messages to be processed newly derived based on the number of messages currently processed by the one or more message processing modules and the maximum number of messages that can be processed by the message processing cluster module Message processing method in Internet environment.
delete delete As a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories,
The service server includes one or more message processing cluster modules including a message queuing module and one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The message request step is
Message request information including a load for a message currently processed by the one or more message processing modules and a request load for a message to be newly processed derived based on a load for the maximum message that can be processed by the message processing cluster module derive,
Each of the message processing module can handle two or more different processes,
In the service server,
a mapping table including a load usage value according to a processing type of each message received from the plurality of IoT devices is stored;
The message distribution step is
A message processing method in an Internet of Things environment, wherein one or more messages to be transmitted to a corresponding message processing cluster module are derived based on the request load and the mapping table and transmitted to the message processing cluster module.
As a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories,
The service server includes one or more message processing cluster modules including a message queuing module and one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The message processing step is
When the message processing module corresponding to the processing type of the classified message is not included in the message processing cluster module, a message processing module generating step of generating a separate message processing module corresponding to the processing type; How to process messages in the Internet environment.
As a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories,
The service server includes one or more message processing cluster modules including a message queuing module and one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The service server is
When the number of a plurality of messages stored in the message queuing module exceeds a threshold value, a cluster creation step of generating a separate message processing cluster module; message in the Internet of Things environment, further comprising a cluster management module performing; processing method.
As a message processing method in an Internet of Things environment performed in a service server including one or more processors and one or more memories,
The service server includes one or more message processing cluster modules including a message queuing module and one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The service server is
A cluster management module performing a cluster creation step of calculating an increase in the number of messages stored in the message queuing module for a preset time, and generating a separate message processing cluster module when the increase exceeds a threshold value. Further comprising, a message processing method in an IoT environment.
As a message processing system in an Internet of Things environment implemented by a service server including one or more processors and one or more memories,
The service server includes a message queuing module and a message processing cluster module including one or more message processing modules,
a message queuing step of receiving and storing, by the message queuing module, a plurality of messages transmitted from a plurality of IoT devices;
a message request step of deriving, by the message processing cluster module, message request information for requesting one or more messages for new processing in consideration of the amount of message processing in the one or more message processing modules, and transmitting it to the message queuing module;
a message distribution step of transmitting, by the message queuing module, one or more messages among a plurality of stored messages according to the message request information received from the message processing cluster module to the message processing cluster module; and
A message processing step of classifying, by the message processing cluster module, one or more messages received through the message distribution step according to a message processing type, and processing the classified message in a message processing module corresponding to the processing type; and ,
The message request step is
A thing for deriving message request information including the number of messages to be processed newly derived based on the number of messages currently processed by the one or more message processing modules and the maximum number of messages that can be processed by the message processing cluster module A message processing system in the Internet environment.
A computer-readable medium in which a program for performing a message processing method in an Internet of Things environment performed in a service server comprising one or more processors and one or more memories according to claim 1 is recorded.

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