CN113271335A - System for managing and controlling operation of cloud computing terminal and cloud server - Google Patents
System for managing and controlling operation of cloud computing terminal and cloud server Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1023—Server selection for load balancing based on a hash applied to IP addresses or costs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Abstract
The invention discloses a system for managing and controlling the operation of a cloud computing terminal and a cloud server, which comprises a client, the cloud computing terminal, the cloud server, a statistical module, a system scheduling access module, a scheduling balancing module and a remote control module, meanwhile, discloses a method for managing and controlling the operation of the cloud computing terminal and the cloud server, by counting the number of the clients and the servers and the information of the clients and the servers, scheduling access is performed to the client, distribution management of the corresponding terminal and server is provided according to the access content, the method comprises the steps of carrying out scheduling balance on information of the cloud computing terminal and the cloud server, enabling operation control efficiency of the cloud computing terminal and the cloud server to be optimal, and then carrying out adjustment on the cloud computing terminal and the cloud server in time through change of the operation control efficiency.
Description
Technical Field
The invention relates to the technical field of internet equipment management and control, in particular to a system for managing and controlling the operation of a cloud computing terminal and a cloud server.
Background
With the gradual development of information technology, the appearance of many intelligent terminals has become indispensable network equipment in people's daily life, and the appearance of more and more terminal equipment makes cloud computing develop as a new technology in a big data era, and different users have different requirements on each node in cloud data, and when a user applies terminal equipment, connection modes and communication protocols between different equipment are different, so how to realize interconnection between different equipment through an effective method becomes a problem discussed by people, and for this problem, in the prior art, people solve the technical problems by developing some terminal management and control devices and methods, but the following problems exist in the prior art:
1. in the prior art, a user client can only select terminal equipment by subjective judgment when selecting a corresponding cloud computing terminal and a cloud server, and when one terminal node is damaged, cloud computing data and data communication of the client are influenced to cause interruption or pause, so that the working efficiency of a system is influenced;
2. the number of corresponding cloud computing terminals and cloud server equipment configured for the user client is not uniformly configured, so that the performance which can be realized by some clients is not matched with the user requirements, the resource waste can be caused by the excessive performance, and partial functions of the system cannot be realized due to the too low performance;
therefore, a system and a method for managing and controlling operations of a cloud computing terminal and a cloud server according to different requirements of a user are needed to solve the above problems.
Disclosure of Invention
The present invention is directed to a system and a method for managing and controlling operations of a cloud computing terminal and a cloud server, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: the system for managing and controlling the operation of the cloud computing terminal and the cloud server comprises a client, the cloud computing terminal, the cloud server, a statistical module, a system scheduling access module, a scheduling balancing module and a remote control module;
the statistical module is used for counting the number of the client terminals and the servers and information of the client terminals and the servers, including names, types, CPU utilization rate, throughput and memory occupation;
the system scheduling access module is used for performing scheduling access on the cloud computing terminal and the cloud server by a system, providing time required by access of the cloud computing terminal and the cloud server for the scheduling balancing module, and providing distribution management of the corresponding terminal and the corresponding server according to access contents;
the scheduling balancing module is used for scheduling balancing the information of the cloud computing terminal and the cloud server counted by the counting module, so that the operation control efficiency of the cloud computing terminal and the cloud server is optimal, and the operation control efficiency comprises the lowest CPU utilization rate, the throughput rate, the memory occupancy rate and the control overhead;
the remote control module is used for managing and controlling different cloud computing terminals, providing remote management and control for the cloud computing terminals and the cloud server according to operation management and control efficiency, and adjusting the cloud computing terminals and the cloud server in time according to changes of the operation management and control efficiency.
Further, the statistical module comprises a number statistical unit and an information statistical unit;
the number counting unit is used for counting the number of current cloud computing terminals and cloud servers in the system and the number of users of the system needing to distribute the cloud computing terminals and the cloud servers;
the information statistics unit is used for respectively carrying out statistics on information in different cloud computing terminals and cloud servers, wherein the information comprises storage information, computing information, message information and data set information of the cloud computing terminals and the cloud servers, and is used for recording the management and control process of the system on the cloud computing terminals and the cloud servers.
Further, the system scheduling access module comprises a system access unit and an access management unit;
the access unit is used for accessing a user client, extracting user requirements, acquiring the occupancy rate condition of the internal space of the system according to the user requirements, selecting one or more cloud computing terminals meeting the requirements of the user to operate for the user, and simultaneously selecting corresponding cloud servers for the cloud computing terminals;
the access management unit monitors and manages the cloud computing terminal and the cloud server involved in access when the access unit accesses data, connection is established among different cloud computing terminals, different cloud servers, the cloud computing terminals and the cloud servers, and data and control instruction synchronization is achieved through statistics.
Further, the scheduling balancing module comprises a scheduling unit, a calculating unit and a balancing unit;
the scheduling unit is used for allocating a cloud computing terminal to a user according to the selection result of the access unit, allocating a cloud server matched with the cloud computing terminal, monitoring the request resource of the system in real time, judging the memory occupancy rate of the request resource of the system in the cloud space, and reallocating the cloud computing terminal and the cloud server according to the occupancy rate;
the computing unit is used for computing the operation control efficiency of the system and sending a computing result to the balancing unit;
the balancing unit comprises a virtual host, and management and control operation of the cloud computing terminal and the cloud server in the system is performed through the virtual host according to the computing result of the computing unit.
Further, the remote control module comprises a terminal switching unit, a terminal synchronization unit and a system monitoring unit;
the terminal switching unit is used for carrying out work management on the cloud computing terminal in the system and connecting or disconnecting the cloud computing terminal and the cloud server into or from the system according to request resources in the system;
the terminal synchronization unit synchronizes the operation result in the terminal switching unit in the system and synchronizes the system determination result to the client;
the system monitoring unit monitors the control process and the operation process in the whole system, and monitors whether the system is abnormal or not in the working process in real time.
A method for managing and controlling operation of a cloud computing terminal and a cloud server comprises the following steps:
step S1, counting the number of client terminals and servers and the information of the client terminals and the servers;
step S2, scheduling access is carried out on the cloud computing terminal, time required by access is provided for the cloud computing terminal and the cloud server to the system, and distribution management of the corresponding terminal and the server is provided according to access content;
step S3, carrying out scheduling balance on the information of the cloud computing terminal and the cloud server, so that the operation control efficiency of the cloud computing terminal and the cloud server is optimal;
and step S4, adjusting the cloud computing terminal and the cloud server in time according to the change of the operation management and control efficiency in the step S3.
Further, the step S1 includes the following steps:
step S11, counting the number set of current cloud computing terminals in the system as Z = { Z = { (Z) }1,Z2,Z3,…,ZNThe number of cloud servers is set as F = { F = }1,F2,F3,…,FMAnd the number of user clients needing to distribute the cloud computing terminals and the cloud server by the system is U = { U = }1,U2,U3,…,UJ};
Step S12, respectively counting information in different cloud computing terminals and cloud servers, wherein the information includes storage information memory, computing information count, message information and data set information data of the cloud computing terminals and the cloud servers, and is used for recording the management and control process of the cloud computing terminals and the cloud servers by the system.
Further, the step S2 includes the following steps:
step S21, accessing a user client, extracting a user requirement need, obtaining the occupancy rate condition of the internal space of the system according to the user requirement need, selecting one or more cloud computing terminals meeting the requirement of the user, and selecting a corresponding cloud server for the cloud computing terminals, wherein the occupancy rate condition of the internal space of the system is according to a formula:
wherein the content of the first and second substances,the occupancy rate of the internal space of the current system is shown as M, N, J and J, wherein M is the number of cloud servers in the system, N is the number of cloud computing terminals in the system, J is the number of user clients needing the cloud servers and the cloud computing terminals in the system,for any cloud computing terminal in the system, need (Zi) is the number of all cloud computing terminals in the system which are matched with the user requirements and connected with the client, FiThe method comprises the steps that t is the time required for establishing connection between a system and the cloud computing terminal for all cloud servers in matched connection with the cloud computing terminal;
d (Z + F) represents the sum of the current cloud computing terminals and cloud servers in the system in the data set information data; the Ui is the number of random user clients of the cloud computing terminal and the cloud server which need to be distributed by the system;
the cloud computing terminal and the cloud server required by the user are expanded according to the condition of the occupancy of the internal space of the system, so that the connection expansion of the cloud computing terminal and the cloud server is realized, and the flexible management and control of the operation of the cloud computing terminal and the cloud server by the system are realized by combining with the step S3 and the step S4;
and S22, when data access is performed in the step S21, monitoring and managing the cloud computing terminals and the cloud servers involved in the access, establishing connection among different cloud computing terminals, different cloud servers, the cloud computing terminals and the cloud servers, and counting to achieve synchronization of data and control instructions.
Further, the step S3 includes the following steps:
step S31, according to the selection result of the step S21-step S22, distributing a cloud computing terminal for the user, distributing a cloud server matched with the cloud computing terminal, monitoring the request resource of the system in real time, judging the memory occupancy of the request resource of the system in the cloud space, and redistributing the cloud computing terminal and the cloud server according to the occupancy;
according to the formula:
wherein XZ is a set of the number of cloud computing terminals occupied in the system; XF is a set of the number of cloud servers occupied in the system; XU is the number of user clients in the current system, F is the number set of cloud servers, U is the number set of user clients, and when the equation (r) is established, the requirement for subdivision is obtainedSet of allocations P =Wherein, each component element of the set P is any element in the set Z, the set F and the set U;
the system requests the memory occupancy of resources in the cloud space to influence the management and control of the system on various terminal devices, when the memory occupancy is large, the system correspondingly increases the number of the terminal devices, and when the memory occupancy is small, the system appropriately reduces the number of the connected terminal devices;
step S32, calculating the operation management and control efficiency of the system, and sending the calculation result to step S33;
the operation control efficiency of the computing system is as follows according to a formula:
wherein the content of the first and second substances,for clients in the systemThe efficiency of the operation and the control of the operation,the idle rate of the cloud computing terminals and the cloud servers in the system, the maximum allowable access number of the MTU to the cloud computing terminals and the cloud servers in the system,it takes time to select a cloud computing terminal for the system,selecting a cloud server for the system takes time;
step S33, according to the calculation result of the step S32, the management and control operation of the cloud computing terminal and the cloud server in the system is carried out;
the management and control operation refers to load balancing of each equipment node of each equipment in the system, the load balancing is realized through a system allowed maximum load value, and the system allowed maximum load value is obtained according to a formula:
wherein H is the maximum load value allowed by the system,for any system to govern the system consumption of a process in the system, b represents Z, F, U the union of the three sets,the MTU is the maximum allowable access cloud computing terminal and cloud server number of the system under the condition of the occupancy rate of the internal space of the system;
the system operation management and control efficiency and the system allowable maximum load value are related to system request resources, and the balance of equipment utilization in the system is carried out through the system operation management and control efficiency and the system allowable maximum load value, so that the system can reach the state with the highest working efficiency, the system equipment utilization rate is high, and the management and control of the cloud computing terminal and the cloud server reach the optimal state.
Further, the step S4 includes the following steps:
step S41, performing work management on the cloud computing terminal in the system, connecting the cloud computing terminal and the cloud server into the system or disconnecting the cloud computing terminal and the cloud server from the system according to request resources in the system, and allocating the cloud computing terminal and the cloud server according to different work requirements when the system is switched;
step S42, synchronizing the operation result in the step S41 in the system, and synchronizing the system determination result to the client;
and step S43, monitoring the control process and the operation process of the whole system, and monitoring whether the system is abnormal in the working process in real time.
Compared with the prior art, the invention has the following beneficial effects: the virtual host is arranged to control each cloud computing terminal and each cloud server, unified management and allocation are realized on each terminal device through calculation of space occupation, memory occupation, operation management and control efficiency and the maximum load value of the system in the system, the cloud computing terminal and the cloud server which are most suitable for the user requirements can be selected and allocated for different user clients according to the working requirements of the different user clients, reasonable allocation of resources is realized, operation of each terminal device in the system is monitored in real time, and selection of the cloud computing terminal and the cloud server is changed in time when different operations are carried out.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a system module for managing and controlling operations of a cloud computing terminal and a cloud server according to the present invention;
fig. 2 is a schematic flow structure diagram of a method for managing and controlling operations of a cloud computing terminal and a cloud server according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a system for managing and controlling the operation of a cloud computing terminal and a cloud server comprises a client, the cloud computing terminal, the cloud server, a statistical module, a system scheduling access module, a scheduling balancing module and a remote control module;
the statistical module is used for counting the number of the client terminals and the servers and information of the client terminals and the servers, including names, types, CPU utilization rate, throughput and memory occupation;
the system scheduling access module is used for performing scheduling access on the cloud computing terminal and the cloud server by a system, providing time required by access of the cloud computing terminal and the cloud server for the scheduling balancing module, and providing distribution management of the corresponding terminal and the server according to access contents;
the scheduling balancing module is used for scheduling balancing the information of the cloud computing terminal and the cloud server counted by the counting module, so that the operation control efficiency of the cloud computing terminal and the cloud server is optimal, and the operation control efficiency comprises the lowest CPU utilization rate, the throughput rate, the memory occupancy rate and the control overhead;
the remote control module is used for managing and controlling different cloud computing terminals, providing remote management and control for the cloud computing terminals and the cloud server according to operation management and control efficiency, and adjusting the cloud computing terminals and the cloud server in time according to changes of the operation management and control efficiency.
The statistical module comprises a quantity statistical unit and an information statistical unit;
the quantity counting unit is used for counting the quantity of current cloud computing terminals and cloud servers in the system and the quantity of users of the system needing to distribute the cloud computing terminals and the cloud servers;
the information counting unit is used for counting information in different cloud computing terminals and cloud servers respectively, the information comprises storage information, computing information, message information and data set information of the cloud computing terminals and the cloud servers, and the information counting unit is used for recording the management and control process of the system on the cloud computing terminals and the cloud servers.
The system scheduling access module comprises a system access unit and an access management unit;
the access unit is used for accessing a user client, extracting user requirements, acquiring the occupancy rate condition of the internal space of the system according to the user requirements, selecting one or more cloud computing terminals meeting the requirements of running the user for the user, and simultaneously selecting corresponding cloud servers for the cloud computing terminals;
the access management unit monitors and manages the cloud computing terminal and the cloud server involved in access when the access unit accesses data, connection is established among different cloud computing terminals, different cloud servers, the cloud computing terminals and the cloud servers, and data and control command synchronization is achieved through statistics.
The scheduling balancing module comprises a scheduling unit, a calculating unit and a balancing unit;
the scheduling unit is used for allocating a cloud computing terminal to a user according to the selection result of the access unit, allocating a cloud server matched with the cloud computing terminal, monitoring the request resource of the system in real time, judging the memory occupancy rate of the request resource of the system in a cloud space, and reallocating the cloud computing terminal and the cloud server according to the occupancy rate;
the computing unit is used for computing the operation control efficiency of the system and sending a computing result to the balancing unit;
the balance unit comprises a virtual host, and management and control operation of the cloud computing terminal and the cloud server in the system is performed through the virtual host according to the computing result of the computing unit.
The remote control module comprises a terminal switching unit, a terminal synchronization unit and a system monitoring unit;
the terminal switching unit is used for carrying out work management on the cloud computing terminal in the system and connecting or disconnecting the cloud computing terminal and the cloud server into or from the system according to request resources in the system;
the terminal synchronization unit synchronizes the operation result in the terminal switching unit in the system and synchronizes the system determination result to the client;
the system monitoring unit monitors the control process and the operation process in the whole system, and monitors whether the system is abnormal or not in the working process in real time.
A method for managing and controlling the operation of a cloud computing terminal and a cloud server comprises the following steps:
step S1, counting the number of clients and servers and the information of the clients and the servers;
step S2, scheduling access is carried out on the cloud computing terminal, time required by access is provided for the cloud computing terminal and the cloud server to the system, and distribution management of the corresponding terminal and the server is provided according to access content;
step S3, carrying out scheduling balance on the information of the cloud computing terminal and the cloud server, so that the operation control efficiency of the cloud computing terminal and the cloud server is optimal;
step S4, adjusting the cloud computing terminal and the cloud server in time according to the change of the operation management and control efficiency in step S3.
In step S1, the method includes the steps of:
step S11, counting the number set of current cloud computing terminals in the system as Z = { Z = { (Z) }1,Z2,Z3,…,ZNThe number of cloud servers is set as F = { F = }1,F2,F3,…,FMAnd the number of user clients needing to distribute the cloud computing terminals and the cloud server by the system is U = { U = }1,U2,U3,…,UJ};
Step S12, respectively counting information in different cloud computing terminals and cloud servers, wherein the information includes storage information memory, computing information count, message information and data set information data of the cloud computing terminals and the cloud servers, and is used for recording the management and control process of the cloud computing terminals and the cloud servers by the system.
Step S2 includes the following steps:
step S21, accessing a user client, extracting a user requirement need, obtaining the occupancy rate condition of the internal space of the system according to the user requirement need, selecting one or more cloud computing terminals meeting the requirement of the user, and selecting a corresponding cloud server for the cloud computing terminals, wherein the occupancy rate condition of the internal space of the system is according to a formula:
wherein the content of the first and second substances,the occupancy rate of the internal space of the current system is shown as M, N, J and J, wherein M is the number of cloud servers in the system, N is the number of cloud computing terminals in the system, J is the number of user clients needing the cloud servers and the cloud computing terminals in the system,the method comprises the following steps that (Zi) is any cloud computing terminal in the system, and the quantity of all cloud computing terminals which are matched with user requirements and connected with a client in the system is obtained; fiThe method comprises the steps that t is the time required for establishing connection between a system and the cloud computing terminal for all cloud servers in matched connection with the cloud computing terminal;
d (Z + F) represents the sum of the current cloud computing terminals and cloud servers in the system in the data set information data; the Ui is the number of random user clients of the cloud computing terminal and the cloud server which need to be distributed by the system;
and step S22, when data access is performed in step S21, monitoring and managing the cloud computing terminals and the cloud servers involved in the access, establishing connection among different cloud computing terminals, different cloud servers, the cloud computing terminals and the cloud servers, and counting to achieve synchronization of data and control instructions.
Step S3 includes the following steps:
step S31, according to the selection result of the step S21-the step S22, distributing a cloud computing terminal for the user, distributing a cloud server matched with the cloud computing terminal, monitoring the request resource of the system in real time, judging the memory occupancy rate of the request resource of the system in the cloud space, and redistributing the cloud computing terminal and the cloud server according to the occupancy rate;
according to the formula:
wherein XZ is a set of the number of cloud computing terminals occupied in the system; XF is a set of the number of cloud servers occupied in the system; XU is the number of user clients in the current system, F is the number set of cloud servers, U is the number set of user clients, and when the equation (r) is satisfied, the set P =which needs to be redistributed is obtainedWherein, each component element of the set P is any element in the set Z, the set F and the set U;
step S32, calculating the operation management and control efficiency of the system, and sending the calculation result to step S33;
the operation control efficiency of the computing system is as follows according to a formula:
wherein the content of the first and second substances,for clients in the systemThe efficiency of the operation and the control of the operation,the idle rate of the cloud computing terminals and the cloud servers in the system, the maximum allowable access number of the MTU to the cloud computing terminals and the cloud servers in the system,it takes time to select a cloud computing terminal for the system,selecting a cloud server for the system takes time;
step S33, according to the calculation result of the step S32, the management and control operation of the cloud computing terminal and the cloud server in the system is carried out;
the management and control operation refers to load balancing of each equipment node of each equipment in the system, the load balancing is realized through a system allowed maximum load value, and the system allowed maximum load value is obtained according to a formula:
wherein H is the maximum load value allowed by the system,for any system to manage and control the processSystem consumption in the system, b represents Z, F, U the union of the three sets,and the MTU is the maximum allowable access cloud computing terminal and cloud server number of the system under the condition of the occupancy rate of the internal space of the system.
Step S4 includes the following steps:
step S41, performing work management on the cloud computing terminal in the system, and connecting or disconnecting the cloud computing terminal and the cloud server into or from the system according to the request resource in the system;
step S42, synchronizing the operation result in the step S41 in the system, and synchronizing the system determination result to the client;
and step S43, monitoring the control process and the operation process of the whole system, and monitoring whether the system is abnormal in the working process in real time.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (3)
1. A system for managing and controlling the operation of a cloud computing terminal and a cloud server is characterized by comprising a client, the cloud computing terminal, the cloud server, a statistical module, a system scheduling access module, a scheduling balancing module and a remote control module;
the statistical module is used for counting the number of the client terminals and the servers and information of the client terminals and the servers, including names, types, CPU utilization rate, throughput and memory occupation;
the system scheduling access module is used for performing scheduling access on the cloud computing terminal and the cloud server by a system, providing time required by access of the cloud computing terminal and the cloud server for the scheduling balancing module, and providing distribution management of the corresponding terminal and the corresponding server according to access contents;
the scheduling balancing module is used for scheduling balancing the information of the cloud computing terminal and the cloud server counted by the counting module, so that the operation control efficiency of the cloud computing terminal and the cloud server is optimal, and the operation control efficiency comprises the lowest CPU utilization rate, the throughput rate, the memory occupancy rate and the control overhead;
the remote control module is used for managing and controlling different cloud computing terminals, providing remote management and control for the cloud computing terminals and the cloud server according to operation management and control efficiency, and adjusting the cloud computing terminals and the cloud server in time according to changes of the operation management and control efficiency;
the system scheduling access module comprises a system access unit and an access management unit;
the access unit is used for accessing a user client, extracting user requirements, acquiring the occupancy rate condition of the internal space of the system according to the user requirements, selecting one or more cloud computing terminals meeting the requirements of the user to operate for the user, and simultaneously selecting corresponding cloud servers for the cloud computing terminals;
the access management unit monitors and manages the cloud computing terminal and the cloud server involved in access when the access unit accesses data, connection is established among different cloud computing terminals, different cloud servers, the cloud computing terminals and the cloud servers, and data and control instruction synchronization is achieved through statistics.
2. The system according to claim 1, wherein the scheduling balancing module includes a scheduling unit, a computing unit, and a balancing unit;
the scheduling unit is used for allocating a cloud computing terminal to a user according to the selection result of the access unit, allocating a cloud server matched with the cloud computing terminal, monitoring the request resource of the system in real time, judging the memory occupancy rate of the request resource of the system in the cloud space, and reallocating the cloud computing terminal and the cloud server according to the occupancy rate;
the computing unit is used for computing the operation control efficiency of the system and sending a computing result to the balancing unit;
the balancing unit comprises a virtual host, and management and control operation of the cloud computing terminal and the cloud server in the system is performed through the virtual host according to the computing result of the computing unit.
3. The system according to claim 2, wherein the remote control module includes a terminal switching unit, a terminal synchronization unit, and a system monitoring unit;
the terminal switching unit is used for carrying out work management on the cloud computing terminal in the system and connecting or disconnecting the cloud computing terminal and the cloud server into or from the system according to request resources in the system;
the terminal synchronization unit synchronizes the operation result in the terminal switching unit in the system and synchronizes the system determination result to the client;
the system monitoring unit monitors the control process and the operation process in the whole system, and monitors whether the system is abnormal or not in the working process in real time.
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CN117032939A (en) * | 2023-10-08 | 2023-11-10 | 腾讯科技(深圳)有限公司 | Cloud service control method, related device, equipment and storage medium |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012149718A1 (en) * | 2011-08-31 | 2012-11-08 | 华为技术有限公司 | Method for cloud terminal to access cloud server in cloud computing system, and cloud computing system |
CN102868763A (en) * | 2012-10-08 | 2013-01-09 | 山东省计算中心 | Energy-saving dynamic adjustment method of virtual web application cluster in cloud computing environment |
CN103281306A (en) * | 2013-05-03 | 2013-09-04 | 四川省电力公司信息通信公司 | Virtualized infrastructure platform for cloud data centers |
CN104202254A (en) * | 2014-08-14 | 2014-12-10 | 江苏省邮电规划设计院有限责任公司 | An intelligent load balancing method based on a cloud calculation platform server |
CN105007312A (en) * | 2015-07-03 | 2015-10-28 | 叶秀兰 | Method and system for controlling adaptive load-balancing of cloud computing server |
CN105049536A (en) * | 2015-09-08 | 2015-11-11 | 南京大学 | Load balancing system and load balancing method in IaaS (Infrastructure As A Service) cloud environment |
CN106789257A (en) * | 2016-12-23 | 2017-05-31 | 航天星图科技(北京)有限公司 | A kind of cloud system server state visual management method |
CN106850589A (en) * | 2017-01-11 | 2017-06-13 | 杨立群 | A kind of management and control cloud computing terminal and the method and apparatus of Cloud Server running |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103220337B (en) * | 2013-03-22 | 2015-10-21 | 合肥工业大学 | Based on the cloud computing resources Optimal Configuration Method of self adaptation controller perturbation |
CN104123189B (en) * | 2014-06-30 | 2017-12-01 | 复旦大学 | A kind of Web multilayer application dynamic resource methods of adjustment perceived based on the application of IaaS layers |
CN104363282B (en) * | 2014-11-17 | 2016-08-24 | 广联达软件股份有限公司 | A kind of cloud computing resource scheduling method and device |
US10361919B2 (en) * | 2015-11-09 | 2019-07-23 | At&T Intellectual Property I, L.P. | Self-healing and dynamic optimization of VM server cluster management in multi-cloud platform |
US10439870B2 (en) * | 2015-11-24 | 2019-10-08 | International Business Machines Corporation | Assessment and dynamic provisioning of computing resources for multi-tiered application |
CN107508703A (en) * | 2017-08-07 | 2017-12-22 | 渤海大学 | A kind of data exchange monitoring system based on cloud computing |
CN107995269A (en) * | 2017-11-24 | 2018-05-04 | 合肥博焱智能科技有限公司 | A kind of resource dynamic distributing method based on cloud computing platform |
CN108874543A (en) * | 2018-06-05 | 2018-11-23 | 郑州云海信息技术有限公司 | A kind of container cluster management method and system |
CN108762912A (en) * | 2018-07-04 | 2018-11-06 | 郑州云海信息技术有限公司 | A kind of method and apparatus of container cluster elastic telescopic |
CN110380891B (en) * | 2019-06-13 | 2022-04-05 | 中国人民解放军国防科技大学 | Edge computing service resource allocation method and device and electronic equipment |
-
2020
- 2020-08-20 CN CN202110416485.2A patent/CN113271335A/en active Pending
- 2020-08-20 CN CN202010842536.3A patent/CN112073223B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012149718A1 (en) * | 2011-08-31 | 2012-11-08 | 华为技术有限公司 | Method for cloud terminal to access cloud server in cloud computing system, and cloud computing system |
CN102868763A (en) * | 2012-10-08 | 2013-01-09 | 山东省计算中心 | Energy-saving dynamic adjustment method of virtual web application cluster in cloud computing environment |
CN103281306A (en) * | 2013-05-03 | 2013-09-04 | 四川省电力公司信息通信公司 | Virtualized infrastructure platform for cloud data centers |
CN104202254A (en) * | 2014-08-14 | 2014-12-10 | 江苏省邮电规划设计院有限责任公司 | An intelligent load balancing method based on a cloud calculation platform server |
CN105007312A (en) * | 2015-07-03 | 2015-10-28 | 叶秀兰 | Method and system for controlling adaptive load-balancing of cloud computing server |
CN105049536A (en) * | 2015-09-08 | 2015-11-11 | 南京大学 | Load balancing system and load balancing method in IaaS (Infrastructure As A Service) cloud environment |
CN106789257A (en) * | 2016-12-23 | 2017-05-31 | 航天星图科技(北京)有限公司 | A kind of cloud system server state visual management method |
CN106850589A (en) * | 2017-01-11 | 2017-06-13 | 杨立群 | A kind of management and control cloud computing terminal and the method and apparatus of Cloud Server running |
Non-Patent Citations (3)
Title |
---|
MOHAMMAD SHOJAFAR等: ""Minimizing computing-plus-communication energy consumptions in virtualized networked data centers"", 《2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC)》 * |
赵峰: ""面向云计算环境的服务器资源管理系统的设计和实现"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
陈林;应时;贾向阳;: "SHMA:一种云平台的监控框架", 计算机科学, no. 01 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117032939A (en) * | 2023-10-08 | 2023-11-10 | 腾讯科技(深圳)有限公司 | Cloud service control method, related device, equipment and storage medium |
CN117032939B (en) * | 2023-10-08 | 2024-02-02 | 腾讯科技(深圳)有限公司 | Cloud service control method, related device, equipment and storage medium |
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