CN111245878A - Method for computing and offloading communication network based on hybrid cloud computing and fog computing - Google Patents
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Abstract
The invention relates to a method for computing and unloading a communication network based on hybrid cloud computing and fog computing, wherein fog nodes are arranged between a cloud center and a user side, and the fog nodes share part of the task amount of the cloud center, so that the problem that the computing resources of a user terminal are limited and a computing-intensive task cannot be executed is solved; or although the tasks can be executed, the energy consumption is too high, so that the standby time of the mobile phone is too short, or the time delay is too large to meet the QoS requirement of the user; the fog nodes are arranged between the user side and the cloud center, and the workload of part of the cloud center is shared through the fog nodes, so that part of user applications do not need to be processed through the cloud center far away from the user, the requirements can be met directly through the fog nodes close to the user, the application real-time performance is greatly improved, the energy consumption of the user terminal is reduced, and the network architecture can better meet the use requirements of the user.
Description
Technical Field
The invention belongs to the technical field of 5G mobile communication, and particularly relates to a method for computing and offloading a communication network based on hybrid cloud computing and fog computing.
Background
Fog Computing (FC), an emerging technology of the 5G era, is an extension of cloud Computing concept, and mainly uses devices in an edge network, and data transfer has extremely low latency. Fog computing has a large geographical distribution with a large scale sensor network of a large number of network nodes. The mobile phone and other mobile devices can directly communicate with each other, signals do not need to go to a cloud or even a base station to wind for a circle, high mobility is supported, short-distance service is provided for the user terminal, ultra-low time delay and high bandwidth of a wireless network are guaranteed, and the requirement of a backward transmission link bandwidth is reduced. The significant characteristics of low time delay, location awareness, wide geographical distribution, mobility support, network edge location and the like of the fog calculation can effectively reduce the energy consumption and processing time delay of the user terminal. At present, fog computing has become a key technology for solving the problems of high time delay and limited forward link capacity of Cloud-Radio Access Network (C-RAN).
Fog computing and cloud computing are completely different. Cloud computing is mainly based on IT operator service and social public cloud. Fog computing wins in magnitude, emphasizing magnitude, and works no matter how weak a single compute node is. Cloud computing emphasizes overall computing power, and computing is typically done by a collection of high-performance computing devices. The fog computing expands a network computing mode of cloud computing, and expands the network computing from a network center to a network edge, thereby being more widely applied to various services. Fog counts have several distinct features: the method has the advantages of low delay and location awareness, wider geographical distribution, adaptability to the application of mobility and support of more edge nodes. These characteristics make mobile service deployment more convenient, satisfy more extensive node access.
Currently, research on fog computing networks is mainly focused on computing offloading. In a traditional cloud computing system, when a user terminal only depends on a cloud server to carry out computing unloading, the requirements of low time delay and low energy consumption cannot be met; while relying solely on a fog server may in some cases not satisfy the high computational demands of computationally intensive applications. Therefore, a cloud-collaborative computing offloading approach is presented herein.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a method for offloading a communication network based on hybrid cloud computing and fog computing, including the following steps:
s1: an application program of the user terminal sends an application to an input/output module of the user terminal through an application module;
s2: the input and output module of the user terminal converts the application into an agreed format and sends the application out;
s3: an input/output module of the fog node receives and analyzes an application from a user terminal and transmits the application to a decision center;
s4: an optimization module of the decision center makes an unloading decision according to the statistical analysis information sent by the information collection and statistics module, and determines whether the application is executed locally, fog or cloud;
s5: the decision output module of the decision center sequentially transmits the unloading decisions to the input/output module of the fog node, and the input/output module of the fog node is started to the input/output module of the user terminal;
s6: the management module of the user terminal judges whether the local execution is carried out or not through the unloading decision returned by the input and output module of the user terminal, and if so, S7 is carried out; if not, go to S8;
s7: an execution module of the user terminal receives input data of a user, executes a calculation task, finally displays a result on a display screen, and then executes S19;
s8: the management module of the fog node judges whether the application of the user is executed at the fog node according to the unloading decision, if so, the management module executes S9-S13; if not, executing S14-S18;
s9: the decision center allocates calculation resources and wireless resources to the user;
s10: the management module of the fog node establishes the connection from the user terminal to the fog node for the user;
s11: the method comprises the following steps that a user transmits input data to an input and output module of a fog node through an input and output module of a user terminal in sequence and then transmits the input data to an execution module of the fog node;
s12: executing a computing task by the execution module of the fog node;
s13: the execution result is transmitted to the input and output module of the user terminal through the fog node input and output module in sequence, then is transmitted to the application program of the user, is displayed on a display screen, and then S19 is executed;
s14: the decision center allocates wireless resources to the user;
s15: the fog node amount management module and the management module of the cloud center establish connection from the user terminal to the cloud center for the user;
s16: the method comprises the steps that a user sends input data to an execution module of a cloud center sequentially through an input/output module of a user terminal, an input/output module of a fog node and an input/output module of the cloud center;
s17: an execution module of the cloud center receives input data of a user side and executes a computing task;
s18: the calculation result is sequentially transmitted to an application program of a user through the cloud center input-output module, the fog node input-output module and the input-output module of the user terminal, is displayed on a display screen, and then S19 is executed;
s19: and finishing the operation.
The statistical analysis information in step S4 includes execution time information and energy consumption when the application sent by the application program is executed by the user terminal, executed by the fog node, and executed by the cloud center, respectively.
The user side is mobile communication equipment; the user side mainly comprises an application program, an application module, an execution module, an input/output module, a statistical module and a management module; when the application program needs to be executed, an operation request is made through the application module, and the operation is transmitted to the fog node through the input and output module.
The fog node comprises a decision center, a storage module, an execution module, an input/output module and a management module, wherein the decision center comprises an information collection and statistics module, an optimization module and a decision output module.
The cloud center comprises an input/output module, a management module, an execution module and a storage module.
The invention has the beneficial effects that: the method for computing and unloading the communication network based on the hybrid cloud computing and the fog computing solves the problems that computing resources of a user terminal are limited and computing-intensive tasks cannot be executed; or although the tasks can be executed, the energy consumption is too high, so that the standby time of the mobile phone is too short, or the time delay is too large to meet the QoS requirement of the user; the fog nodes are arranged between the user side and the cloud center, and the workload of part of the cloud center is shared through the fog nodes, so that part of user applications do not need to be processed through the cloud center far away from the user, the requirements can be met directly through the fog nodes close to the user, the application real-time performance is greatly improved, the energy consumption of the user terminal is reduced, and the network architecture can better meet the use requirements of the user.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic diagram of a method of computing offload communication network based on hybrid cloud computing and fog computing.
Fig. 2 is a flow diagram of a method of computing offload communication network based on hybrid cloud computing and fog computing.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the intended purpose, the following detailed description of the embodiments, structural features and effects of the present invention will be made with reference to the accompanying drawings and examples.
Example 1
The embodiment provides a method for computing and offloading a communication network based on hybrid cloud computing and fog computing as shown in fig. 2, which includes the following steps:
s1: an application program of the user terminal sends an application to an input/output module of the user terminal through an application module;
s2: the input and output module of the user terminal converts the application into an agreed format and sends the application out;
s3: an input/output module of the fog node receives and analyzes an application from a user terminal and transmits the application to a decision center;
s4: an optimization module of the decision center makes an unloading decision according to the statistical analysis information sent by the information collection and statistics module, and determines whether the application is executed locally, fog or cloud;
s5: the decision output module of the decision center sequentially transmits the unloading decisions to the input/output module of the fog node, and the input/output module of the fog node is started to the input/output module of the user terminal;
s6: the management module of the user terminal judges whether the local execution is carried out or not through the unloading decision returned by the input and output module of the user terminal, and if so, S7 is carried out; if not, go to S8;
s7: an execution module of the user terminal receives input data of a user, executes a calculation task, finally displays a result on a display screen, and then executes S19;
s8: the management module of the fog node judges whether the application of the user is executed at the fog node according to the unloading decision, if so, the management module executes S9-S13; if not, executing S14-S18;
s9: the decision center allocates calculation resources and wireless resources to the user;
s10: the management module of the fog node establishes the connection from the user terminal to the fog node for the user;
s11: the method comprises the following steps that a user transmits input data to an input and output module of a fog node through an input and output module of a user terminal in sequence and then transmits the input data to an execution module of the fog node;
s12: executing a computing task by the execution module of the fog node;
s13: the execution result is transmitted to the input and output module of the user terminal through the fog node input and output module in sequence, then is transmitted to the application program of the user, is displayed on a display screen, and then S19 is executed;
s14: the decision center allocates wireless resources to the user;
s15: the fog node amount management module and the management module of the cloud center establish connection from the user terminal to the cloud center for the user;
s16: the method comprises the steps that a user sends input data to an execution module of a cloud center sequentially through an input/output module of a user terminal, an input/output module of a fog node and an input/output module of the cloud center;
s17: an execution module of the cloud center receives input data of a user side and executes a computing task;
s18: the calculation result is sequentially transmitted to an application program of a user through the cloud center input-output module, the fog node input-output module and the input-output module of the user terminal, is displayed on a display screen, and then S19 is executed;
s19: and finishing the operation.
It should be noted that the statistical analysis information in step S4 includes execution time information and energy consumption when the application sent by the application program is executed by the user terminal, executed by the fog node, and executed by the cloud center, respectively.
As shown in fig. 1, the user terminal is a mobile communication device; the user side mainly comprises an application program, an application module, an execution module, an input/output module, a statistical module and a management module; when the application program needs to be executed, an operation request is made through the application module, and the operation is transmitted to the fog node through the input and output module. The fog node comprises a decision center, a storage module, an execution module, an input/output module and a management module, wherein the decision center comprises an information collection and statistics module, an optimization module and a decision output module. The cloud center comprises an input/output module, a management module, an execution module and a storage module.
It should be noted that hardware configurations of the user side, the fog node, and the cloud center all need to be set by using existing corresponding function modules, and information such as specific models of the modules is not described in detail in this embodiment; what needs to be emphasized is the arrangement of the fog nodes, which is combined with the communication network in the prior art, the fog nodes can be arranged in each communication base station, which application applications are executed locally, which application applications are executed in the fog nodes, which application applications are executed in the cloud center can be set in the fog nodes, and the set rules are set according to the characteristics of the application applications which need to be processed actually; of course, the setting of the fog node is not limited to be set in the communication base station, and may be set in the home router end or in other physical layers of the communication network according to the characteristics or requirements of the communication network.
In summary, the method for computing and offloading the communication network based on the hybrid cloud computing and the fog computing solves the problems that the computing resources of the user terminal are limited and the computing-intensive task cannot be executed; or although the tasks can be executed, the energy consumption is too high, so that the standby time of the mobile phone is too short, or the time delay is too large to meet the QoS requirement of the user; the fog nodes are arranged between the user side and the cloud center, and the workload of part of the cloud center is shared through the fog nodes, so that part of user applications do not need to be processed through the cloud center far away from the user, the requirements can be met directly through the fog nodes close to the user, the application real-time performance is greatly improved, the energy consumption of the user terminal is reduced, and the network architecture can better meet the use requirements of the user.
Example 2
For example: user a needs to complete an application B:
s1: the user A sends an application to an input/output module of the user terminal through an application B module by using an application program of the user terminal;
s2: the input and output module of the user terminal converts the application B into an agreed format and sends the converted application B out;
s3: an input/output module of the fog node receives and analyzes an application B from a user terminal and transmits the application B to a decision center;
s4: an optimization module of the decision center makes an unloading decision according to the statistical analysis information sent by the information collection and statistics module, and determines whether the application B is executed locally, fog or cloud;
s5: the decision output module of the decision center sequentially transmits the unloading decisions to the input/output module of the fog node, and the input/output module of the fog node is started to the input/output module of the user terminal;
s6: the management module of the user terminal judges whether the local execution is carried out or not through the unloading decision returned by the input and output module of the user terminal, and if so, S7 is carried out; if not, go to S8;
s7: an execution module of the user terminal receives input data of a user, executes a calculation task, finally displays a result on a display screen, and then executes S19;
s8: the management module of the fog node judges whether the application of the user is executed at the fog node according to the unloading decision, if so, the management module executes S9-S13; if not, executing S14-S18;
s9: the decision center allocates calculation resources and wireless resources to the user;
s10: the management module of the fog node establishes the connection from the user terminal to the fog node for the user;
s11: the method comprises the following steps that a user transmits input data to an input and output module of a fog node through an input and output module of a user terminal in sequence and then transmits the input data to an execution module of the fog node;
s12: executing a computing task by the execution module of the fog node;
s13: the execution result is transmitted to the input and output module of the user terminal through the fog node input and output module in sequence, then is transmitted to the application program of the user A, is displayed on the display screen, and then S19 is executed;
s14: the decision center allocates wireless resources to the user;
s15: the fog node amount management module and the management module of the cloud center establish connection from the user terminal to the cloud center for the user A;
s16: the method comprises the following steps that a user A sends input data to an execution module of a cloud center sequentially through an input/output module of a user terminal, an input/output module of a fog node and an input/output module of the cloud center;
s17: an execution module of the cloud center receives input data of a user side and executes a computing task;
s18: the calculation result is sequentially transmitted to the application program of the user A through the cloud center input-output module, the fog node input-output module and the input-output module of the user terminal, is displayed on the display screen, and then S19 is executed;
s19: and finishing the operation.
Through the execution process of the application B, the execution of the application B can be selected to be executed locally, fog or cloud according to requirements; the method for computing and unloading the communication network based on the hybrid cloud computing and the fog computing solves the problems that computing resources of a user terminal are limited and computing-intensive tasks cannot be executed; or, although the tasks can be executed, the energy consumption is too high, so that the standby time of the mobile phone is too short, or the time delay is too large to meet the QoS requirement of the user.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (5)
1. A method for computing offload communication network based on hybrid cloud computing and fog computing, comprising the steps of:
s1: an application program of the user terminal sends an application to an input/output module of the user terminal through an application module;
s2: the input and output module of the user terminal converts the application into an agreed format and sends the application out;
s3: an input/output module of the fog node receives and analyzes an application from a user terminal and transmits the application to a decision center;
s4: an optimization module of the decision center makes an unloading decision according to the statistical analysis information sent by the information collection and statistics module, and determines whether the application is executed locally, fog or cloud;
s5: the decision output module of the decision center sequentially transmits the unloading decisions to the input/output module of the fog node, and the input/output module of the fog node is started to the input/output module of the user terminal;
s6: the management module of the user terminal judges whether the local execution is carried out or not through the unloading decision returned by the input and output module of the user terminal, and if so, S7 is carried out; if not, go to S8;
s7: an execution module of the user terminal receives input data of a user, executes a calculation task, finally displays a result on a display screen, and then executes S19;
s8: the management module of the fog node judges whether the application of the user is executed at the fog node according to the unloading decision, if so, the management module executes S9-S13; if not, executing S14-S18;
s9: the decision center allocates calculation resources and wireless resources to the user;
s10: the management module of the fog node establishes the connection from the user terminal to the fog node for the user;
s11: the method comprises the following steps that a user transmits input data to an input and output module of a fog node through an input and output module of a user terminal in sequence and then transmits the input data to an execution module of the fog node;
s12: executing a computing task by the execution module of the fog node;
s13: the execution result is transmitted to the input and output module of the user terminal through the fog node input and output module in sequence, then is transmitted to the application program of the user, is displayed on a display screen, and then S19 is executed;
s14: the decision center allocates wireless resources to the user;
s15: the fog node amount management module and the management module of the cloud center establish connection from the user terminal to the cloud center for the user;
s16: the method comprises the steps that a user sends input data to an execution module of a cloud center sequentially through an input/output module of a user terminal, an input/output module of a fog node and an input/output module of the cloud center;
s17: an execution module of the cloud center receives input data of a user side and executes a computing task;
s18: the calculation result is sequentially transmitted to an application program of a user through the cloud center input-output module, the fog node input-output module and the input-output module of the user terminal, is displayed on a display screen, and then S19 is executed;
s19: and finishing the operation.
2. The method of hybrid cloud computing and fog computing based computing offload communication network of claim 1, wherein: the statistical analysis information in step S4 includes execution time information and energy consumption when the application sent by the application program is executed by the user terminal, executed by the fog node, and executed by the cloud center, respectively.
3. The method of hybrid cloud computing and fog computing based computing offload communication network of claim 1, wherein: the user side is mobile communication equipment; the user side mainly comprises an application program, an application module, an execution module, an input/output module, a statistical module and a management module; when the application program needs to be executed, an operation request is made through the application module, and the operation is transmitted to the fog node through the input and output module.
4. The method of hybrid cloud computing and fog computing based computing offload communication network of claim 1, wherein: the fog node comprises a decision center, a storage module, an execution module, an input/output module and a management module, wherein the decision center comprises an information collection and statistics module, an optimization module and a decision output module.
5. The method of hybrid cloud computing and fog computing based computing offload communication network of claim 1, wherein: the cloud center comprises an input/output module, a management module, an execution module and a storage module.
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