CN113055482A - Intelligent cloud box equipment based on edge computing - Google Patents
Intelligent cloud box equipment based on edge computing Download PDFInfo
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- CN113055482A CN113055482A CN202110286338.8A CN202110286338A CN113055482A CN 113055482 A CN113055482 A CN 113055482A CN 202110286338 A CN202110286338 A CN 202110286338A CN 113055482 A CN113055482 A CN 113055482A
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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
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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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
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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
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Abstract
The invention belongs to the field of monitoring application equipment, and particularly relates to intelligent cloud box equipment based on edge computing. The data acquisition unit is used for realizing data acquisition, the data transmission unit is used for realizing data wireless transmission, the data storage unit is used for storing data, the central control unit is used for realizing control and local computing, the early warning unit is used for realizing alarming, the cloud computing unit is used for realizing cloud computing, and the edge computing unit is used for realizing efficient computing.
Description
Technical Field
The invention belongs to the field of monitoring application equipment, and particularly relates to intelligent cloud box equipment based on edge computing.
Background
The intelligent cloud box is embedded intelligent monitoring hardware with powerful functions and excellent performance, the cloud box is automatically connected to the platform server after being networked through TCP/GPRS/WIFI, a user and a service provider can use the APP end and the PC end to check the running state and relevant parameters of the equipment in real time, abnormal instant receiving warning information occurs, and initiative, visualization and intellectualization of equipment operation and maintenance management are achieved, so that customer satisfaction is improved, and customer stickiness is enhanced.
With the rapid development of communication technology and semiconductor technology, the monitoring effect is better and better, but the monitoring effect is obviously improved, and simultaneously, huge resources such as calculation, storage, network, battery and the like of the intelligent cloud box are occupied. Although conventional cloud computing architectures provide more computing and storage resources for users, the problem of computing latency is not fully addressed. The mobile edge computing is taken as an efficient solution, and offloads the computing task to the edge server, expands the resources of the intelligent mobile device by utilizing the strong computing capability of the edge server, and relieves the problem of the intelligent mobile device caused by insufficient resources. As a novel computing mode provided after cloud computing, the computing capability of a cloud center is sunk to the edge of a network in the mobile edge computing, the intelligent mobile device realizes interaction with an edge server at a close distance, and the requirements of mobile terminal services and applications on low delay and low power consumption are met. With the rapid development of the technologies in the fields of the internet of things, 5G, artificial intelligence, big data and the like, the mobile edge computing will highlight more and more important values and become an indispensable support technology in the field of wireless communication. Therefore, how to improve the computing efficiency of the existing intelligent cloud box becomes a key research direction of the existing intelligent cloud box.
Disclosure of Invention
Aiming at the problem of computing caused by overlarge computing amount due to the fact that the intelligent cloud box has excessive data, the invention provides the intelligent cloud box equipment based on edge computing, which is reasonable in design, simple in structure and capable of effectively improving the computing efficiency of the intelligent cloud box.
In order to achieve the above object, the invention provides an intelligent cloud box device based on edge computing, which includes a data acquisition unit for acquiring data, a data transmission unit for wirelessly transmitting data, a data storage unit for storing data, a central control unit for implementing control and local computing, an early warning unit for implementing alarm, a cloud computing unit for implementing cloud computing, and an edge computing unit for implementing efficient computing, wherein the data computing determines whether the task computing is local computing, edge computing, or cloud computing according to time consumed by the local computing, the edge computing, and the cloud computing, and an algorithm consumed by the local computing time is as follows:
wherein, TbiThe sum of the time consumed for the i tasks to be calculated locally, ciRepresenting the number of CPU cycles consumed to process the local current task of the i tasks, fiComputing power for a local CPU;
the time consuming algorithm for the edge calculation is:
wherein, TmiTime required to compute i tasks for the edge server, wiSize of data input for the task edge Server i times, riThe transmission rate of the uplink when i tasks are connected to the base station through the radio access network,
the computing power provided by the edge calculator for i tasks, ciRepresenting the number of cycles of the CPU that must be consumed to process the task of i times;
the cloud computing time consumption algorithm is as follows:
wherein, wiSize of data input for i task edge servers, tsThe delay of uplink and downlink transmission in the optical fiber transmission process.
Preferably, the central control unit further comprises a data comparison module, wherein the data comparison module is used for comparing the calculated data with a warning threshold value and judging whether an alarm command needs to be sent.
Compared with the prior art, the invention has the advantages and positive effects that,
1. the invention provides an intelligent cloud box device based on edge computing, which is characterized in that the time period of local computing, edge computing and cloud computing is calculated, and the most suitable computing mode is selected, so that the computing efficiency is improved, and the accuracy of monitoring work is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a working schematic diagram provided in embodiment 1.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments of the present disclosure.
Embodiment 1, as shown in fig. 1, the invention provides an intelligent cloud box device based on edge computing, which is provided for mainly solving the problem of delay in monitoring and computing data increase in the existing monitoring industry.
For this reason, the edge computing-based smart cloud box device provided in this embodiment includes a data acquisition unit for implementing data acquisition, a data transmission unit for implementing data wireless transmission, a data storage unit for storing data, a central control unit for implementing control and local computing, an early warning unit for implementing an alarm, a cloud computing unit for implementing cloud computing, and an edge computing unit for implementing efficient computing, where except for the edge computing unit, other units all belong to common units of an existing smart cloud box, and therefore, this embodiment is not described in detail.
As is known, cloud computing offloading is to offload a computing task generated by a terminal device to a remote server (core server) through transmission methods such as wireless and ethernet, and the core server sends a result back to the terminal through computing to complete offloading of the task. The computing pressure of the terminal equipment is well relieved by the appearance of cloud computing, but a traditional cloud server is far away from a user, so that non-negligible time delay is generated in the computing unloading process. Cloud computing is therefore limited to use with latency insensitive and low demand computing tasks. In order to solve the problem that the traditional cloud computing cannot guarantee strict time delay requirements for the computing-intensive tasks, edge computing is used as a new paradigm and becomes an important scheme of the research in the industry. Edge computing is a distributed computing form that sinks part of the capabilities of the cloud to network nodes near base stations, and can provide reliable computing, storage, caching, communication, and services for control, policy, and management for users. Because the edge computing server is positioned close to the edge node of the user, the computing power of the network space can be fully utilized. And the flexible deployment mode and the characteristics of low cost and rich context information not only provide the development direction of future data calculation and storage for operators, but also enable service providers to quickly and conveniently access to user networks. The mobile edge calculation is that an MEC server is deployed near a base station close to a user, and the user can select to execute task calculation on a local (a smart cloud box with a CPU) and the MEC server. Therefore, the selection of local computing, edge computing and cloud computing is effectively realized through the arrangement, so that the computing time efficiency is related to the timeliness of the alarm, and the selection of the computing mode is also the important improvement scheme of the embodiment.
Specifically, the data calculation determines whether the task calculation adopts local calculation, edge calculation or cloud calculation according to the time consumed by the local calculation, the edge calculation and the cloud calculation,
the algorithm for locally calculating the time consumption is as follows:
wherein, TbiThe sum of the time consumed for the i tasks to be calculated locally, ciRepresenting the number of CPU cycles consumed to process the local current task of the i tasks, fiComputing power for local CPU
The time consuming algorithm for edge calculation is:
wherein, TmiTime required to compute i tasks for the edge server, wiSize of data input for the task edge Server i times, riThe transmission rate of the uplink when i tasks are connected to the base station through the radio access network,
the computing power provided by the edge calculator for i tasks, ciRepresenting the number of cycles of the CPU that must be consumed to process the task of i times;
the algorithm of cloud computing time consumption is as follows:
wherein, wiSize of data input for i task edge servers, tsThe delay of uplink and downlink transmission in the optical fiber transmission process.
Since the data is generated in real time, the more the number of times of calculation, the more the efficiency of local calculation is affected, for this reason, in this embodiment, the efficiency of local calculation of the i-time tasks is calculated, and in the comprehensive comparison, in how many tasks, the efficiency of local calculation is the fastest, local calculation is adopted, and similarly, the optimal number of times of edge calculation and the optimal number of times of cloud calculation in calculation are also calculated, so that the optimal combined calculation of local calculation, edge calculation and cloud calculation can be realized by the optimal calculation of i times, and the calculation efficiency is improved.
Assuming that the time taken for the primary data, the local computation is 1s (only if the computation time is not so long), the time taken for the edge computation is 1.1s, the time taken for the cloud computation is 1.2s, the time taken for the secondary data is 2.1s, the time taken for the edge computation is 2.15s, the time taken for the cloud computation is 2.3s, the time taken for the three data local computations is 3.15s, the time taken for the edge computation is 3.27s, the time taken for the cloud computation is 3.4s, the time taken for the four data local computations is 4.3s, the time taken for the edge computation is 4.38s, the time taken for the cloud computation is 4.4s, the time taken for the 5 times of data local computations is 5.6s, the time taken for the edge computation is 5.4s, the time taken for the cloud computation is 5.45s, and so on, within the proper number of data, by adopting a comprehensive calculation mode, the time spent by single-class calculation can be greatly increased, and the calculation efficiency is further improved.
And finally, the central control unit also comprises a data comparison module, and the data comparison module is used for comparing the calculated data with the warning threshold value and judging whether an alarm command needs to be sent or not.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention.
Claims (2)
1. The intelligent cloud box equipment based on edge computing is characterized by comprising a data acquisition unit for realizing data acquisition, a data transmission unit for realizing data wireless transmission, a data storage unit for storing data, a central control unit for realizing control and local computing, an early warning unit for realizing alarm, a cloud computing unit for realizing cloud computing and an edge computing unit for realizing efficient computing, wherein the data computing determines whether the task computing adopts local computing, edge computing or cloud computing according to the time consumed by the local computing, the edge computing and the cloud computing, and the algorithm of local computing time consumption is as follows:
wherein, TbiThe sum of the time consumed for the i tasks to be calculated locally, ciRepresenting the number of CPU cycles consumed to process the local current task of the i tasks, fiComputing power for a local CPU;
the time consuming algorithm for the edge calculation is:
wherein, TmiTime required to compute i tasks for the edge server, wiSize of data input for the task edge Server i times, riTransmission rate of uplink when i tasks are connected to base station through radio access network, fi mecThe computing power provided by the edge calculator for i tasks, ciRepresenting the number of cycles of the CPU that must be consumed to process the task of i times;
the cloud computing time consumption algorithm is as follows:
wherein, wiSize of data input for i task edge servers, tsThe delay of uplink and downlink transmission in the optical fiber transmission process.
2. The intelligent cloud box device based on edge computing of claim 1, wherein the central control unit further comprises a data comparison module, and the data comparison module is used for comparing the computed data with a warning threshold value and judging whether an alarm command needs to be sent.
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Application publication date: 20210629 |