CN101977242A - Layered distributed cloud computing architecture and service delivery method - Google Patents
Layered distributed cloud computing architecture and service delivery method Download PDFInfo
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- CN101977242A CN101977242A CN2010105483147A CN201010548314A CN101977242A CN 101977242 A CN101977242 A CN 101977242A CN 2010105483147 A CN2010105483147 A CN 2010105483147A CN 201010548314 A CN201010548314 A CN 201010548314A CN 101977242 A CN101977242 A CN 101977242A
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Abstract
The invention discloses a layered distributed cloud computing architecture and a service delivery method. The architecture is composed of a core cloud, an edge cloud and a terminal. The core cloud is a cloud computing service center composed of servers with powerful storage and computing capacity; the edge cloud is composed of server nodes distributed in different networks and regions and is connected with the core cloud by backbone network, and the terminal is an entity which uses a cloud computing service provided by the core cloud and edge cloud. The core cloud and the edge cloud work together to provide the cloud computing service for terminal users and uses relevance of data transmitted by the core edge and the terminal to process the data so as to reduce traffic. In the invention, network flow in most of cloud computing is confined to the local network between the edge and the terminal, thus lowering traffic of the backbone network, effectively avoiding the problems of network congestion, high latency and the like in the existing centralized cloud computing mode and improving user experience.
Description
Technical field
The present invention relates to computer realm, specifically relate to a kind of distributed cloud computing architecture and service providing method of layering,, alleviated the dependence of cloud computing, improve the QoS of cloud computing the network bandwidth by introducing the notion of edge cloud.
Background technology
Cloud computing (Cloud Computing) be in a kind of computer network more rationally, effective service provides and operation mode, under this pattern, the services such as local various calculating, storage that are in are traditionally replaced by large-scale, centralized cloud computing service.In cloud computing, the user can conveniently use resources such as various calculating that the cloud computing service provider provides, storage pellucidly as required.These computational resources can provide and discharge apace, have reduced enterprise or personal user and have purchased, administer and maintain cost, have and use future widely.Cloud computing is the Service Operation pattern that the computer business provides industry to propose, and correlation technique relates to grid computing (GridComputing), Distributed Calculation (Distributed Computing), parallel computation (Parallel Computing), effectiveness calculating (Utility Computing), the network storage (Network Storage Technologies), virtual (Virtualization), load balancing (Load Balance) etc.
A core concept of cloud computing is exactly by improving constantly the disposal ability of " cloud " end (computer center), and then the processing that reduces user terminal is born, finally make user terminal be simplified to a simple input-output equipment, and can enjoy the powerful computing ability of " cloud " as required.
Under existing centralized cloud computing architectural framework, set up centralized large-scale data center and computer center, form the high in the clouds of cloud computing, externally provide the user required various services by high in the clouds; The user directly obtains service from high in the clouds by network, as shown in Figure 1.Because user's data storage and calculate and all carry out beyond the clouds, cloud computing is stronger to the dependence of the bandwidth of network and data transmission delay.The application of cloud computing must cause lot of data mutual, and the outlet network of computer center is caused heavy pressure.The traffic of high in the clouds outlet network is the traffic sum in each terminal and high in the clouds.Under current network environment, the service quality QoS that centralized cloud computing architecture can provide (availability, throughput, time delay, time delay variation etc.) is difficult to satisfy the user to the cloud computing demand; For example, the remote dummy desktop application is subjected to the puzzlement of problems such as network congestion, high time-delay.In order to guarantee the QoS of cloud computing, various relevant technology are studied, and wherein most typical is that data are compressed, and to reduce the data volume of transmission over networks, reduce the active demand of cloud computing to the network bandwidth.But these technology only can partly alleviate the network burden under the cloud computing environment, not from basic head it off.
Summary of the invention
Problem to be solved by this invention is the active computer network is difficult to satisfy the cloud computing demand for services at aspects such as bandwidth, time delays a problem.For head it off, improvement to existing cloud computing model, design the cloud computing architecture of layered distribution type, be provided with corresponding server node and form the edge cloud, formed the layered distribution type cloud computing architecture of forming by " core cloud ", " edge cloud " and user terminal.Edge cloud and core cloud are collaborative, utilize the correlation between communication data that it is handled, and reduce the data volume of core cloud outlet, solve the dependency problem of cloud computing to the network bandwidth, time delay.
The scheme of technical solution problem of the present invention is that described layered distribution type cloud computing architecture is made up of core cloud, edge cloud and terminal use:
The core cloud: have powerful calculating, storage capacity, under the support of edge cloud, cooperation flexibly provides transparent cloud computing service to the user rapidly mutually.The core cloud is the cloud computing service centre that has the server cluster composition of powerful storage and computing capability, the various services that the user uses the core cloud to provide according to self-demand.
The edge cloud: is made up of the server node that is distributed in heterogeneous networks and area, for the core cloud provides corresponding miscellaneous function, cooperate with the core cloud also flexibly provides the cloud computing service to the user rapidly.The edge cloud is connected with the core cloud by backbone network, user terminal under the coordination of core cloud, the service of using the edge cloud to provide nearby.The edge cloud is responsible for the data flow between core cloud and the user terminal is carried out processed (as compression, encryption and decryption etc.) on the one hand, utilizes the correlation between communication data, reduces network overhead, reduces time delay, guarantees cloud computing QoS; On the other hand, needed general character data and frequently-used data (for example, the file that user's frequentation is asked generates the needed shape library of graphic user interface etc.) are served in edge cloud storage terminal visit cloud computing.
Terminal: the request entity that uses the cloud computing related service.Terminal use's prime responsibility is to finish input/output function: on the one hand, land the cloud computing center, make up the user job environment, to the needed service of cloud computing request; On the other hand, provide the interface of browsing and showing the cloud computing service for the user.
In the cloud computing architecture of layered distribution type, the core cloud is cooperated mutually with the edge cloud, is the give security cloud computing service of QoS of user:
The edge cloud is cooperated with the core cloud: the core cloud provides cloud computing services such as the user calculates, storage; The edge cloud is shared the correlation function of core cloud, and needed general character data and user's frequently-used data are served in storage terminal visit cloud computing, under the coordination of core cloud, transparent provides the cloud computing service for the user.Utilize the high bandwidth between edge cloud and the terminal and the network characteristic of low time delay, guarantee the QoS of cloud computing service.Core cloud and the cooperation of edge cloud are that the terminal use provides the cloud computing service in the mode to user transparent;
The edge cloud is cooperated with terminal: the edge cloud utilizes the local network of high bandwidth between itself and the terminal and low time delay that needed general character data are served in the terminal access cloud computing and user's frequently-used data sends terminal fast to, and transparent provides real-time cloud computing service to terminal;
The core cloud is cooperated with terminal: under edge cloud auxiliary, the core cloud is finished concrete calculating and the stores service that terminal is asked.
Service providing method based on layered distribution type cloud computing architecture is, core cloud and edge cloud are cooperated jointly, transparent provides the cloud computing service for the user.The user at first proposes service request to the core cloud, the edge cloud negotiate service strategy at core cloud and user place then, and at last according to the result who consults, common cooperation is the give security service of QoS of user.
Under cloud computing architecture of the present invention,, utilize data dependence that the core cloud is had following three kinds of methods for terminal provides the processing procedure of data M according to different scenes:
Method one: the situation that will send to data M existence self correlation of a certain terminal for the core cloud, the core cloud is consulted according to the characteristics of data M and the edge Cloud Server at target terminal place, according to the result who consults, M handles to data, generate the littler data m of data volume, and data m is sent to the edge Cloud Server; After the edge Cloud Server is received m, use inverse algorithm, obtain initial data M, and data M is sent to target terminal.Terminal sends data to the core cloud, takes opposite process.
Method two: for the data cases with correlation being provided will for a plurality of terminals, might as well establish data is M
1, M
2... M
n, core cloud and edge cloud are consulted, and use the result who consults, to data M
1, M
2... M
nHandle, generate the littler data set of data volume, and send it to the edge Cloud Server; After the edge Cloud Server is received data, it is reduced, and send the data to relevant terminal.Terminal sends data to the core cloud, takes opposite process.
Method three: the third situation is the target data M that the core cloud will send
1, M
2... M
n, the process that generates target data is similar, and has common input (for example, using identical shape library); Therefore, target data no longer is directly to be generated by the core cloud, but under the coordination of core cloud, by the edge cloud data is sent to relevant terminal.For example, in remote desktop is used, move to the edge cloud by the core cloud for the generation of graphical user desktop; A large amount of graph datas only need the edge cloud with and its terminal that links to each other between transmit, thereby reduced the data volume that exports Network Transmission at the core cloud.
When terminal use's position changes, need move with user-dependent data, to satisfy user experience better.Whether the user is using the cloud computing service when changing according to occurrence positions, and migration is divided into real-time migration and plan migration.
Real-time migration refers to that user's occurrence positions in the process of using the cloud computing service moves, and moves into new edge cloud by edge, place cloud, and this moment, user's service data should be moved to new edge cloud from former edge cloud under the coordination of core cloud.This stylish edge cloud replaces former edge cloud provides service to the user.
The plan migration refers to that the user informs high in the clouds in advance with the routing of oneself, the transfer of user-dependent data between different edge clouds in a planned way arranged according to user's stroke in the cloud computing center, the service that the use cloud computing that the assurance user all can be real-time in predetermined stroke provides.
The present invention is confined to terminal use this locality with the network traffics in most of cloud computing, has reduced the flow of backbone network, has effectively avoided the dependency problem of centralized cloud computing pattern to the network bandwidth, time delay etc., has guaranteed the QoS of cloud computing.
The beneficial effect that the present invention is had compared with prior art:
The cloud computing architecture of the layered distribution type of the present invention's design from network and memory location equal angles, solves the problem that the existing network bandwidth, time delay etc. can not satisfy the cloud computing demand for services.The present invention is provided with the server node composition edge cloud with calculating, storage capacity at each network and area, has formed the layered distribution type cloud computing architecture of " core cloud ", " edge cloud " and three levels of user terminal.Node in the edge cloud is by collaborative with the core cloud, (correlation between communication data comprises correlation between its data and the correlation between parallel data to utilize correlation between communication data, by network code, compress technique, technology such as buffer memory and local shape library automatically, can effectively reduce data volume) reduce the data volume of core cloud outlet.Therefore adopt the cloud computing architecture of layered distribution type, user's desktop environment data and user's frequently-used data are stored on the nearer server of distance users.The limiting transmission of data that this mode can be served cloud computing reduces the data traffic of backbone network in subscriber's local, fundamentally solves the dependence of cloud computing to the network bandwidth, time delay, guarantees the availability of cloud computing.
Description of drawings
Fig. 1 is existing centralized system for cloud computing system assumption diagram
Fig. 2 is the layered distribution type cloud computing system assumption diagram that the present invention proposes
Fig. 3 is the service providing method schematic diagram of layered distribution type cloud computing
Fig. 4 is a traffic schematic diagram under the existing centralized cloud computing architecture
Fig. 5 utilizes correlation minimizing traffic schematic diagram between its data
Fig. 6 utilizes correlation minimizing traffic schematic diagram between parallel data
Fig. 7 calculates the key that causes data expansion to move to edge cloud minimizing traffic schematic diagram
Fig. 8 is core cloud and edge cloud negotiations process schematic diagram
Fig. 9 is a real-time migration each side reciprocal process schematic diagram
Figure 10 is a plan migration each side reciprocal process schematic diagram
Embodiment
The present invention is provided with the edge cloud that corresponding server node is formed beyond the clouds, forms the layered distribution type cloud computing architecture of being made up of " core cloud ", " edge cloud " and user terminal, as shown in Figure 2.By the traffic that computing node reduces core cloud exit is set, thereby reduce time delay between core cloud computing center and terminal, guaranteed the QoS of cloud computing.
The core cloud: have powerful calculating, storage capacity, under the support of edge cloud, cooperation flexibly provides transparent cloud computing service to the user rapidly mutually.The core cloud is the cloud computing service centre that has the server cluster composition of powerful storage and computing capability, the service that the user uses the core cloud to provide according to self-demand.
The edge cloud: is made up of the server node that is distributed in heterogeneous networks and area, for the core cloud provides corresponding miscellaneous function, cooperate with the core cloud also flexibly provides the cloud computing service to the user rapidly.The edge cloud is connected with the core cloud by backbone network, user terminal under the coordination of core cloud, the service of using the edge cloud to provide nearby.The edge cloud is responsible for the data flow between core cloud and the user terminal is processed (as compression, encryption and decryption etc.) on the one hand, utilizes the correlation between communication data, reduces network overhead, reduces time delay, guarantees cloud computing QoS; On the other hand, needed general character data and frequently-used data (for example, the file that user's frequentation is asked generates the needed shape library of graphic user interface etc.) are served in edge cloud storage terminal visit cloud computing.
Terminal: the request entity that uses the cloud computing related service.Terminal use's prime responsibility is to finish input/output function: on the one hand, land the cloud computing center, make up the user job environment, to the needed service of cloud computing request; On the other hand, provide the interface of browsing and showing the cloud computing service for the user.
Under the layered distribution type architecture, core cloud and edge cloud are cooperated jointly, and be transparent for the user provides the cloud computing service, as shown in Figure 3.Layered distribution type cloud computing service provides step as follows:
Step a. user sends service request to the core cloud;
Step b. core cloud is searched the edge cloud at user place, and with the edge cloud negotiate service strategy at user place;
Step c is according to the service strategy of consulting, and the core cloud uses response data, the edge cloud use its data of storing (needed general character data and user's frequently-used data are served in the terminal access cloud computing) common provide transparent service as the user.
In the cloud computing service provided, the data transfer mode under the centralized cloud computing architecture of tradition as shown in Figure 4.The core cloud directly directly is transferred to each terminal with the data that each terminal needs, and wherein needs to bear the transmission of all data on the backbone network, brings bigger burden to network.
Under layered distribution type cloud computing architecture,, utilize data dependence that the core cloud is handled for terminal provides data M according to different scenes.According to the characteristics of data self, processing procedure has following three kinds of methods:
Method one: the situation that will send to data M existence self correlation of a certain terminal for the core cloud, the edge Cloud Server negotiate service strategy that the core cloud links to each other with target terminal according to the characteristics of data M, use the result who consults, core cloud and edge cloud are jointly for the user provides service, as shown in Figure 5.Concrete implementation step is as follows:
Step a: there is self correlation in the target data that the core cloud sends to each terminal;
Step b: the core cloud is initiated the cooperation request to the edge at terminal place cloud;
Step c: after the edge cloud is received the cooperation request, detect own resource and whether meet the demands, return acceptance response if satisfy; Otherwise, return the refusal response;
Steps d: the core cloud is then searched for new available edge cloud if receive that refusal is corresponding, and find and return step b, otherwise failure;
Step e: the core cloud is received acceptance response, initiates the negotiations process with the edge cloud; Negotiate the data processing algorithm of use, finish negotiations process, successfully set up cooperation relation;
Step f: the core cloud is processed f (M to the data M that will send
i)=m
i, generate overall data m
i, and send to the edge cloud; The edge cloud to its reverse process, restores data, and sends to the corresponding terminal terminal after receiving the data of core cloud transmission.
Method two: for the data cases with correlation being provided will for a plurality of terminals, might as well establish data is M
1, M
2... M
n, core cloud and edge cloud are consulted, and use the result who consults, to data M
1, M
2... M
nHandle, generate the littler data set of data volume, and send it to the edge Cloud Server; After the edge Cloud Server is received data, it is reduced, and send the data to relevant terminal.Terminal sends data to the core cloud, takes opposite process.Data transmission procedure as shown in Figure 6, concrete implementation step is as follows:
Step a: the core cloud sends to and has very high correlation between the data of different terminals;
Step b: the core cloud is initiated the cooperation request to this edge cloud;
Step c: after the edge cloud is received the cooperation request, detect own resource and whether meet the demands, return acceptance response if satisfy; Otherwise, return the refusal response;
Steps d: the core cloud is then searched for new available edge cloud if receive that refusal is corresponding, and find and return step b, otherwise failure;
Step e: the core cloud is received acceptance response, initiates the negotiations process with the edge cloud; Negotiate the data processing algorithm of use, finish negotiations process, successfully set up cooperation relation;
Step f: the core cloud is handled u (M together to the data that will send each terminal
1, M
2... M
n)=Msg generates overall data Msg, and sends to the edge cloud; The edge cloud to its reverse process, decomposites the data component that will send to each terminal, and sends to the corresponding terminal terminal after receiving the data of core cloud transmission.
Method three: the third situation is the target data M that the core cloud will send
1, M
2... M
n, the process that generates target data is similar, and has common input (for example, using identical shape library); Therefore, target data no longer is directly to be generated by the core cloud, but under the coordination of core cloud, by the edge cloud data is sent to relevant terminal.For example, in remote desktop is used, move to the edge cloud by the core cloud for the generation of graphical user desktop; A large amount of graph datas only need the edge cloud with and its terminal that links to each other between transmit, thereby reduced the data volume that exports Network Transmission at the core cloud.Data transmission procedure as shown in Figure 7, concrete implementation step is as follows:
Step a: the generative process of target data that the core cloud sends to a plurality of terminals is similar, and has common input;
Step b: the core cloud is initiated the cooperation request to the edge cloud;
Step c: after the edge cloud is received the cooperation request, detect own resource and whether meet the demands, return acceptance response if satisfy; Otherwise, return the refusal response;
Steps d: the core cloud is then searched for new available edge cloud if receive that refusal is corresponding, and find and return step b, otherwise failure;
Step e: the core cloud receives that acceptance is corresponding, initiates the negotiations process with the edge cloud; The core cloud will be ordered, and Processing Algorithm semantic, that consult sends to the edge cloud, finishes negotiations process, has successfully set up cooperation relation;
Step f: when the core cloud wants to send data M
iWhen giving certain terminal, the order that generation is changed data and relevant low volume data send to the edge cloud at terminal place;
Step g: the edge cloud receive orders and data after, call correlation function, calculate the result, and this result sent to associated terminal.
Provide in the process in the cloud computing service, the negotiations process of core cloud and edge cloud as shown in Figure 8.Concrete negotiation step is as follows:
Step a: after the user sent service request, the core cloud was determined the edge cloud according to customer location;
Step b: the core cloud is initiated the cooperation request to the edge cloud;
Step c: the edge cloud is the cooperation Resources allocation after the request of receiving, and it is corresponding to send the agreement cooperation to the core cloud;
Steps d: the core cloud is consulted allocating task etc. alternately with the edge cloud after receiving and agreeing response;
Step e: core cloud and edge cloud are carried out cooperation by negotiation result, and provide service for the user.
When terminal use's position changes, need move with user-dependent data, to satisfy user experience better.Whether the user is using the cloud computing service when changing according to occurrence positions, and migration is divided into real-time migration and plan migration.
In the real-time migration, the user moves into new edge cloud by edge, place cloud, and this moment, user's service data should be moved to new edge cloud from former edge cloud under the coordination of core cloud.This stylish edge cloud replaces former edge cloud provides service to the user.The implementation step of real-time migration is as shown in Figure 9:
Step a: terminal user position sends and changes, and by the perception of high in the clouds institute;
Step b: the edge cloud judges according to the change information of customer location whether oneself still can provide required service;
Step c: still can provide required service if the edge cloud is judged oneself, then repeating step b; Otherwise send the real-time migration request to the core cloud;
Steps d: the information that the core cloud provides according to the edge cloud, select new available edge cloud;
Step e: core cloud and new edge cloud are consulted and are disposed required environment for the user;
Step f: the user job environmental data has former edge cloud to move to new edge cloud;
Step g: core cloud and new edge cloud provide the cloud computing service for the user jointly.
In the plan migration, the transfer of user-dependent data between different edge clouds in a planned way arranged according to user's stroke in the cloud computing center, the service that the use cloud computing that the assurance user all can be real-time in predetermined stroke provides.The implementation step of plan migration is as shown in figure 10:
Step a: the user submits the routing of oneself to high in the clouds;
Step b: the core cloud is worked out the data transfer plan according to user's routing;
Step c: the core cloud is according to data migration plan, and provides service with the respective edges cloud for the user.
Claims (4)
1. layered distribution type cloud computing architecture, it is characterized in that: this architecture is made up of core cloud, edge cloud and terminal: described core cloud is to have the cloud computing service centre that the server of powerful storage and computing capability is formed; Described edge cloud is made up of the server node that is distributed in heterogeneous networks and area, is connected with the core cloud by backbone network, and for the core cloud provides corresponding miscellaneous function, cooperation provides the cloud computing service nearby to the user; Described terminal is for using the entity of core cloud and edge cloud computing that cloud provides service; The cooperation mode process of core cloud, edge cloud and terminal room is as follows:
Core cloud and the cooperation of edge cloud guarantee the QoS that cloud computing is served, and are that the terminal use provides the cloud computing service in the mode to user transparent;
The edge cloud is cooperated with terminal, utilize the high bandwidth between itself and the terminal and the local network of low time delay, needed general character data are served in the terminal access cloud computing and user's frequently-used data sends terminal fast to, transparent provides real-time cloud computing service to terminal;
The core cloud is cooperated with terminal, and under edge cloud auxiliary, the core cloud is finished the concrete cloud computing service that terminal is asked;
2. based on the service providing method of layered distribution type cloud computing architecture, it is characterized in that: service providing method is, the user proposes service request to the core cloud, the edge cloud negotiate service strategy at core cloud and user place, according to the result who consults, common cooperation is the give security service of QoS of user.
3. the service providing method based on layered distribution type cloud computing architecture according to claim 2 is characterized in that: utilize data dependence that the core cloud is had following three kinds of methods for terminal provides the processing of data:
Method one: the situation that will send to data M existence self correlation of a certain terminal for the core cloud, the core cloud is consulted according to the characteristics of data M and the edge Cloud Server at target terminal place, according to the result who consults, M handles to data, generate the littler data m of data volume, and data m is sent to the edge Cloud Server; After the edge Cloud Server is received m, use inverse algorithm, obtain initial data M, and data M is sent to target terminal, terminal sends data to the core cloud, takes opposite process;
Method two: for the data cases with correlation being provided will for a plurality of terminals, establishing data is M
1, M
2... M
n, core cloud and edge cloud are consulted, and use the result who consults, to data M
1, M
2... M
nHandle, generate the littler data set of data volume, and send it to the edge Cloud Server; After the edge Cloud Server is received data, it is reduced, and send the data to relevant terminal, terminal sends data to the core cloud, takes opposite process;
Method three: the target data M that the core cloud will send
1, M
2... M
n, the process that generates these target datas is similar, and has common input; Therefore, target data no longer is directly to be generated by the core cloud, but under the coordination of core cloud, target data is moved to the edge cloud by the core cloud, by the edge cloud data are sent to relevant terminal, lot of data only needs to transmit between the coupled terminal of edge cloud, thereby has reduced the data volume in core cloud outlet Network Transmission.
4. the service providing method based on layered distribution type cloud computing architecture according to claim 2, it is characterized in that: migration of subscriber data need move according to customer location, whether the user is using the cloud computing service during according to position change, and migration is divided into real-time migration and plan migration:
Real-time migration refers to that user's occurrence positions in the process of using the cloud computing service moves, move into new edge cloud by edge, place cloud, this moment, user's service data should be under the coordination of core cloud, move to new edge cloud from former edge cloud, this stylish edge cloud replaces former edge cloud provides service to the user;
The plan migration refers to that the user informs high in the clouds in advance with the routing of oneself, the transfer of user-dependent data between different edge clouds in a planned way arranged according to user's stroke in the cloud computing center, the service that the use cloud computing that the assurance user all can be real-time in predetermined stroke provides.
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| CN112087522B (en) * | 2020-09-18 | 2021-10-22 | 北京航空航天大学 | Edge cloud collaborative flow arrangement system for industrial robot data processing |
| CN112087522A (en) * | 2020-09-18 | 2020-12-15 | 北京航空航天大学 | Edge cloud collaborative flow arrangement system for industrial robot data processing |
| CN112562356A (en) * | 2020-11-18 | 2021-03-26 | 联通智网科技有限公司 | Parking lot cooperative type autonomous parking method and device, computer equipment and storage medium |
| CN113572821A (en) * | 2021-07-05 | 2021-10-29 | 山东师范大学 | Edge cloud node task cooperative processing method and system |
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