CN102170476A - Cloud computing method and device based on cloud node autonomic learning - Google Patents
Cloud computing method and device based on cloud node autonomic learning Download PDFInfo
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Abstract
The invention discloses a cloud computing method based on cloud node autonomic learning, comprising the steps of using an entity cloud service frequently called and corresponding to a service that a local node does not have service ability as an extended service by a cloud node, loading to the local node, and updating the extended service information in the node service information table of the local node; when the cloud node receives a task, searching the service information that the task corresponds to in the node service information table; and when the service information is found out and the service information is the extended service information, calling the extended service to execute the task. Meanwhile, the invention also discloses a cloud computing device based on cloud node autonomic learning. By the scheme of the invention, the cloud service connecting across multiple cloud nodes can be called and executed quickly, avoiding waste of network resources.
Description
Technical field
The present invention relates to the cloud computing technology, relate in particular to a kind of cloud computing method and device based on cloud node autonomous learning.
Background technology
Cloud computing (Cloud Computing) is a kind of novel computation model that proposes on the basis of Distributed Calculation (Distributed Computing), parallel computation (Paralell Computing) and grid computing development such as (Grid Computing), is a kind of method of emerging shared architecture.What it was faced is ultra-large distributed environment, and core provides storage and network service, and basic principle is to carry out for many computers jointly by network allocation calculation task.The cloud service of mentioning in the cloud computing is that some can self and the virtual computational resource of management, and the cloud node in the system for cloud computing is exactly a physical media of realizing these resource managements, be generally some large server clusters, comprise the interior computer group of local area network (LAN), calculation server, storage server, broadband network information or the like.Cloud computing is put together all computational resources by distributed cloud node by various cloud services are provided, and realizes self-management by software, need not artificial participation.
In the existing system for cloud computing,, make and the defective that the cloud service of cross-over connection multichannel cloud node exists repetitive schedule to carry out and can not fast dispatch carry out Internet resources are caused great waste because the cloud node of managing virtual cloud service does not possess independent learning ability.For example cloud node A receives the service request that its access point is downloaded at the big capacity in same Streaming Media website under the cloud Node B for many times, if do not possess the learning ability of node service, will occur repeatedly from the big transfer of data and the download request of cloud node A to the cloud Node B; If do not arrive the routing iinformation of cloud Node B among the cloud node A, if do not possess the learning ability of node route simultaneously, the route poll of cloud node A to the cloud Node B will appear repeatedly.Above-mentionedly either way can cause certain waste to Internet resources.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of cloud computing method and device based on cloud node autonomous learning, realizes the cloud service of fast dispatch execution cross-over connection multichannel cloud node, avoids waste of network resources.
For achieving the above object, technical scheme of the present invention is achieved in that
A kind of cloud computing method provided by the invention based on cloud node autonomous learning, this method comprises:
The local node that the cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Described cloud node is searched the information on services of described task correspondence in the node service information table when receiving task, finding and described information on services when being described expansion service information, call described expansion service and carry out described task.
In the such scheme, the local node that described cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, be loaded into local node, for: cloud node carries out record to the service that the local node that frequently calls within ought be does not for the previous period possess service ability, when the calling frequency and satisfy predefined tactful value of described service, the corresponding entity cloud service of described service is loaded into local node as expansion service.
In the such scheme, described cloud node is when receiving task, in the node service information table, search the information on services of described task correspondence, for: described cloud node receives sending from access point of task, the category attribute of extraction task, load the node service information table, in the node service information table, search the information on services of coupling according to the category attribute of described task.
In the such scheme, this method further comprises: when described cloud node is searched less than the information on services of task correspondence in the node service information table, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, when inquiring the routing iinformation of next node, current task is forwarded to next node.
In the such scheme, this method further comprises: the best route information of described cloud node dynamically recording task in the node route information table.
A kind of cloud computing device provided by the invention based on cloud node autonomous learning, this device comprises: cloud node top control module, node service management module, node service execution module; Wherein,
Described cloud node top control module is used for the reception task, and with described task notice node service execution module, and the local node that will frequently call does not possess the Service Notification node service management module of service ability;
Described node service management module is used for entity cloud service with the service correspondence of cloud node top control module notice as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Described node service execution module, be used for when cloud node top control module is received task, in the node service information table, search the information on services of described task correspondence,, call described expansion service and carry out described task finding and described information on services when being described expansion service information.
In the such scheme, described cloud node top control module specifically is used to extract the category attribute of receiving of task, and the category attribute of described task is offered the node service execution module; And the service that the local node that frequently calls within ought be does not for the previous period possess service ability carried out record, when the calling frequency and satisfy predefined tactful value of described service, with described Service Notification node service management module.
In the such scheme, described node service execution module, the category attribute that the task of providing according to described cloud node top control module specifically is provided is searched the information on services of coupling at the node service information table, when the information on services that finds and mate is the information of described expansion service, calls the expansion service of described information on services correspondence and carry out described task.
In the such scheme, this device further comprises the routing iinformation scheduler module, be used for notice according to cloud node top control module, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, when inquiring the routing iinformation of next node, current task is forwarded to next node;
Described cloud node top control module also is used at the node service execution module when the node service information table is searched information on services less than the task correspondence notice routing iinformation scheduler module.
In the such scheme, this device further comprises: the routing iinformation study module is used for the best route information in node route information table dynamically recording task.
The invention provides a kind of cloud computing method and device based on cloud node autonomous learning, the local node that the cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, be loaded into local node, and with the expansion service information updating in the node service information table of local node; Described cloud node is searched the information on services of described task correspondence in the node service information table when receiving task, finding and described information on services when being described expansion service information, call described expansion service and carry out described task; So, can realize the cloud service of fast dispatch execution cross-over connection multichannel cloud node, avoid waste of network resources.
Description of drawings
Fig. 1 realizes a kind of schematic flow sheet of the cloud computing method based on cloud node autonomous learning for the present invention;
Fig. 2 realizes a kind of structural representation of the cloud computing device based on cloud node autonomous learning for the present invention.
Embodiment
Basic thought of the present invention is: the local node that the cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, be loaded into local node, and with the expansion service information updating in the node service information table of local node; Described cloud node is searched the information on services of described task correspondence in the node service information table when receiving task, finding and described information on services when being described expansion service information, call described expansion service and carry out described task.
The present invention is described in further detail below by drawings and the specific embodiments.
The present invention realizes a kind of cloud computing method based on cloud node autonomous learning, and as shown in Figure 1, this method comprises following step:
Step 101: the local node that the cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Concrete, the cloud node carries out record to the service that the local node that frequently calls within ought be does not for the previous period possess service ability, when the calling frequency and satisfy predefined tactful value of this service, the entity cloud service that this service is corresponding is loaded into local node as expansion service, and in the node service information table of local node expansion service information is dynamically updated;
Described a period of time can be 10 minutes or 1 hour or 1 day or the like;
Described expansion service information comprises category attribute, service ability title of expansion service etc.;
Described node service information table is used for the information of the service that the minute book ground node can carry, and comprises category attribute, service ability title of service etc.;
Described dynamically updating used for reference the corresponding strategies of operating system for scheduling memory, such as the most normal use priority scheduling scheduling strategy recently; This method that dynamically updates the node service information table is exactly the autonomous learning mechanism of cloud node service.
For example: East China district cloud node detection is in ought be for the previous period, the East China district exists a large amount of access points visiting a certain streaming media video website and downloading jumbo streaming media video, and the cloud node that this streaming media video service is provided is positioned at the southwest district, when visit capacity reaches pre-set threshold, the node of described East China district cloud node is loaded into local node with this streaming media video service as expansion service, and writes down this expansion service information in the node service information table of local node.This has just been avoided the repetitive schedule of a large amount of cloud services to carry out, and has reduced the load capacity of system for cloud computing integral body, and user experience is also had very big lifting.
Step 102: described cloud node is searched the information on services of described task correspondence in the node service information table when receiving task, finding and described information on services when being described expansion service information, calls described expansion service and carries out described task;
Concrete, described cloud node receives sending from access point of task, the category attribute of extraction task, load the node service information table, in the node service information table, search the information on services of coupling according to the category attribute of described task, when the information on services that finds and mate is the information of described expansion service, calls the expansion service of described information on services correspondence and carry out described task;
Described access point can be embedded device or portable terminal or other cloud node of cloud intranodal embedding access point.
Further, when described cloud node is searched less than the information on services of task correspondence in the node service information table, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, if inquire the routing iinformation of next node, then current task be forwarded to next node; If can not find out the routing iinformation of next node, then start the next node network poll of current task, till inquiring the next node that to handle current task or having traveled through all cloud nodes; The method of described meshed network poll and existing route polling method are similar, will not give unnecessary details;
Described node route information table is used for the routing iinformation the most efficiently of task requests and service response between minute book ground node and the cloud node that is associated;
Further, described cloud node also is used for the best route information in node route information table dynamically recording task;
The best route information of described dynamically recording task, generally be: carry out the assessment of node route with task requests and service response between the cloud node that is associated according to local node, the routing iinformation of current optimum is joined in the node route information table, after having the cloud node to change, again carry out the assessment of node route, if more excellent routing iinformation is arranged, the described more excellent routing iinformation of real-time update is in the node route information table;
It is described that to carry out node route assessment generally be to carry out the assessment of node route from a plurality of dimensions such as network cost, route bar numbers;
For example: a certain cloud node is searched less than with the information on services of the task of access point request streaming media service coupling the time in East China, load the node route information table, next node routing iinformation to current task is inquired about, if inquire routing iinformation is a certain cloud node in North America, current task is forwarded to this North America cloud node, be forwarded to a certain Australia cloud node from this North America cloud node again, call streaming media service by this Australia cloud node and carry out current task; The route information table dynamically recording of a certain cloud node in described East China is at the next node routing iinformation of the task of access point request streaming media service, as there being Taiwan cloud node to add fashionable, this Taiwan cloud node has and the identical streaming media service of Australia cloud node, and this East China cloud node directly is connected with this Taiwan cloud node, after then this East China cloud node carries out node route assessment from a plurality of dimensions such as network cost, route bar numbers, with described Taiwan cloud node as more excellent next node updating route information in the node route information table.
Above-mentioned dynamically recording process to route information is exactly the autonomous learning mechanism of cloud node routing iinformation.
In order to realize said method, the present invention also provides a kind of cloud computing device based on cloud node autonomous learning, and as shown in Figure 2, this device comprises: cloud node top control module 21, node service management module 22, node service execution module 23; Wherein,
Described cloud node top control module 21 is used for the reception task, and with described task notice node service execution module 23, and the local node that will frequently call does not possess the Service Notification node service management module 22 of service ability;
Described node service management module 22 is used for entity cloud service with the service correspondence of cloud node top control module 21 notice as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Described node service execution module 23, be used for when cloud node top control module 21 is received task, in the node service information table, search the information on services of described task correspondence,, call described expansion service and carry out described task finding and described information on services when being described expansion service information;
Described node service information table is used for the information of the service that the minute book ground node can carry, and comprises category attribute, service ability title of service etc.;
Described cloud node top control module 21 specifically is used to extract the category attribute of receiving of task, and the category attribute of described task is offered node service execution module 23; And the service that the local node that frequently calls within ought be does not for the previous period possess service ability carried out record, when the calling frequency and satisfy predefined tactful value of this service, with this Service Notification node service management module 22;
Described node service execution module 23, the category attribute that the task of providing according to described cloud node top control module 21 specifically is provided is searched the information on services of coupling at the node service information table, when the information on services that finds and mate is the information of described expansion service, calls the expansion service of described information on services correspondence and carry out described task;
This device further comprises routing iinformation scheduler module 24, be used for notice according to cloud node top control module 21, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, if inquire the routing iinformation of next node, then current task be forwarded to next node; If can not find out the routing iinformation of next node, then start the next node network poll of current task, till inquiring the next node that to handle current task or having traveled through all cloud nodes;
Described cloud node top control module 21 also is used at node service execution module 23 when the node service information table is searched information on services less than the task correspondence notice routing iinformation scheduler module 24.
Described node route information table is used for the routing iinformation the most efficiently of task requests and service response between minute book ground node and the cloud node that is associated;
This device further comprises: routing iinformation study module 25 is used for the best route information in node route information table dynamically recording task;
Described routing iinformation study module 25, specifically be used for carrying out the assessment of node route with task requests and service response between the cloud node that is associated according to local node, the routing iinformation of current optimum is joined in the node route information table, after having the cloud node to change, again carry out the assessment of node route, if more excellent routing iinformation is arranged, the described more excellent routing iinformation of real-time update is in the node route information table.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.
Claims (10)
1. the cloud computing method based on cloud node autonomous learning is characterized in that, this method comprises:
The local node that the cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Described cloud node is searched the information on services of described task correspondence in the node service information table when receiving task, finding and described information on services when being described expansion service information, call described expansion service and carry out described task.
2. cloud computing method according to claim 1, it is characterized in that, the local node that described cloud node will frequently call does not possess the entity cloud service of service correspondence of service ability as expansion service, be loaded into local node, for: cloud node carries out record to the service that the local node that frequently calls within ought be does not for the previous period possess service ability, when the calling frequency and satisfy predefined tactful value of described service, the corresponding entity cloud service of described service is loaded into local node as expansion service.
3. cloud computing method according to claim 1, it is characterized in that, described cloud node is when receiving task, in the node service information table, search the information on services of described task correspondence, for: described cloud node receives sending from access point of task, the category attribute of extraction task loads the node service information table, searches the information on services of coupling in the node service information table according to the category attribute of described task.
4. cloud computing method according to claim 1, it is characterized in that, this method further comprises: when described cloud node is searched less than the information on services of task correspondence in the node service information table, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, when inquiring the routing iinformation of next node, current task is forwarded to next node.
5. cloud computing method according to claim 4 is characterized in that, this method further comprises: the best route information of described cloud node dynamically recording task in the node route information table.
6. the cloud computing device based on cloud node autonomous learning is characterized in that this device comprises: cloud node top control module, node service management module, node service execution module; Wherein,
Described cloud node top control module is used for the reception task, and with described task notice node service execution module, and the local node that will frequently call does not possess the Service Notification node service management module of service ability;
Described node service management module is used for entity cloud service with the service correspondence of cloud node top control module notice as expansion service, is loaded into local node, and with the expansion service information updating in the node service information table of local node;
Described node service execution module, be used for when cloud node top control module is received task, in the node service information table, search the information on services of described task correspondence,, call described expansion service and carry out described task finding and described information on services when being described expansion service information.
7. cloud computing device according to claim 6 is characterized in that, described cloud node top control module specifically is used to extract the category attribute of receiving of task, and the category attribute of described task is offered the node service execution module; And the service that the local node that frequently calls within ought be does not for the previous period possess service ability carried out record, when the calling frequency and satisfy predefined tactful value of described service, with described Service Notification node service management module.
8. cloud computing device according to claim 7, it is characterized in that, described node service execution module, the category attribute that the task of providing according to described cloud node top control module specifically is provided is searched the information on services of coupling at the node service information table, when the information on services that finds and mate is the information of described expansion service, calls the expansion service of described information on services correspondence and carry out described task.
9. cloud computing device according to claim 6, it is characterized in that, this device further comprises the routing iinformation scheduler module, be used for notice according to cloud node top control module, load the node route information table, next node routing iinformation to current task in the node route information table is inquired about, and when inquiring the routing iinformation of next node, current task is forwarded to next node;
Described cloud node top control module also is used at the node service execution module when the node service information table is searched information on services less than the task correspondence notice routing iinformation scheduler module.
10. cloud computing device according to claim 9 is characterized in that, this device further comprises: the routing iinformation study module is used for the best route information in node route information table dynamically recording task.
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| CN201110118628.8A CN102170476B (en) | 2011-05-09 | 2011-05-09 | Cloud computing method and device based on cloud node autonomic learning |
| PCT/CN2011/078708 WO2012151802A1 (en) | 2011-05-09 | 2011-08-22 | Cloud computing method and device based on automatic learning of cloud node |
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| CN105323276A (en) * | 2014-07-09 | 2016-02-10 | 腾讯科技（深圳）有限公司 | Application cloud access method and device and application server |
| CN110601981A (en) * | 2019-09-11 | 2019-12-20 | 神州数码融信软件有限公司 | Service routing method, service provider cloud domain and service calling cloud domain |
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| WO2012151802A1 (en) | 2012-11-15 |
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