CN102801550A - Management method and device for content delivery network - Google Patents
Management method and device for content delivery network Download PDFInfo
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- CN102801550A CN102801550A CN2011101412804A CN201110141280A CN102801550A CN 102801550 A CN102801550 A CN 102801550A CN 2011101412804 A CN2011101412804 A CN 2011101412804A CN 201110141280 A CN201110141280 A CN 201110141280A CN 102801550 A CN102801550 A CN 102801550A
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Abstract
The invention provides a management method and a management device for a content delivery network (CDN). The method comprises the following steps of: monitoring the performance of a virtual cache server; comparing monitored performance data with a service performance index of the CDN; and integrating and deploying the virtual cache server according to a comparison result. The performance of the virtual cache server is monitored, the monitored performance data are compared with the service performance index of the CDN, and the virtual cache server is integrated and deployed according to the comparison result, so that the resources of the cache server in the CDN can be fully utilized even under the condition of emergent user behaviors, such as the condition of over-many or insufficient times of user access, the quality of customer service is ensured, and the resource utilization rate of the CDN is increased.
Description
Technical field
(Content Delivery Network, CDN) field relate in particular to a kind of content distributing network management method and device to the present invention relates to content distributing network.
Background technology
CDN is a kind of cover layer network technology that is structured on the existing basis, internet; Its objective is (Internet Content Provider with the internet content service provider; ICP) content is distributed to the nearest caching server cluster from the user; Thereby improve the response time of user capture content, alleviate the pressure of ICP server simultaneously.
(Service-Level Agreement is for ensureing the Performance And Reliability of service, the agreement of a kind of mutual concession that defines between service provider and user under certain expense SLA) to service level agreement.In CDN, be normally defined the agreement that CDN service provider and ICP sign, the demand for services of the need satisfaction ICP that is used to guarantee that CDN service provider provides.
The SLA that the common basis of existing C DN service provider and ICP sign; The infrastructure input that analysis needs; Like caching server quantity etc., be deployed to then among the existing C DN, be to estimate not too easily but a shortcoming of doing like this is a user access activity; The infrastructure input that obtains according to theory analysis may cause insufficient investment or drop into superfluous, thereby cause the SLA that signs with ICP to be not being met or the problem of the wasting of resources.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of content distributing network management method and device, can improve the resource utilization of caching server among the CDN.
For achieving the above object, technical scheme of the present invention is achieved in that
A kind of content distributing network management method comprises:
The performance of monitoring virtual cache server;
Performance data and content distributing network CDN service performance index that monitoring is obtained compare;
According to comparing result, carry out the integration of virtual cache server and dispose.
Further, before the performance of monitoring virtual cache server, said method also comprises:
The service level agreement of signing in advance is mapped as the CDN service performance index of quantification.
Wherein, said according to comparing result, the integration of carrying out the virtual cache server is deployed as:
When the performance data that obtains when monitoring is lower than said CDN service performance index, then expand the resource that said virtual cache server uses;
The performance data that obtains when monitoring surpasses said CDN service performance index and does not exceed preset amount, then finishes to work as pre-treatment;
When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
Wherein, the resource of the said virtual cache server use of said expansion is:
Judge that whether the current affiliated physical machine of said virtual cache server has surplus resources, if having, then directly increases the resource that said virtual cache server uses in said physical machine;
If said current affiliated physical machine does not have surplus resources, judge further then whether surplus resources is arranged on other physical machine, if having, then said virtual cache server migration is arrived other physical machine, to realize dilatation;
If said other physical machine all do not have surplus resources, then open new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation.
Wherein, said resource of dwindling said virtual cache server use is:
Judge whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated, if, then with said virtual cache server migration and integration;
If not, then reduce the resource that said virtual cache server uses.
A kind of content distributing network management devices, said device comprises: monitoring resource module, resource deployment module; Wherein,
The monitoring resource module is used to monitor the performance of virtual cache server;
The resource deployment module, the performance data and the CDN service performance index that are used for monitoring is obtained compare, and according to comparing result, carry out the integration of virtual cache server and dispose.
Further, said device also comprises: the service level agreement module is used for the service level agreement of signing in advance is mapped as the CDN service performance index of quantification.
Further, said resource deployment module specifically is used for when the performance data that obtains of monitoring is lower than said CDN service performance index, then expanding the resource that said virtual cache server uses; The performance data that obtains when monitoring surpasses said CDN service performance index and does not exceed preset amount, then finishes to work as pre-treatment; When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
Wherein, said resource deployment module is used to specifically judge whether the current affiliated physical machine of said virtual cache server has surplus resources, if having, then directly increases the resource that said virtual cache server uses in said physical machine; If said current affiliated physical machine does not have surplus resources, judge further then whether surplus resources is arranged on other physical machine, if having, then said virtual cache server migration is arrived other physical machine, to realize dilatation; If said other physical machine all do not have surplus resources, then open new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation.
Wherein, said resource deployment module is used to specifically judge whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated, if, then with said virtual cache server migration and integration; If not, then reduce the resource that said virtual cache server uses.
The present invention is through monitoring the virtual cache server performance, and performance data and CDN service performance index that monitoring is obtained compare, and carries out the integration of virtual cache server according to comparing result and disposes; So; Even exist under certain paroxysmal situation,, still can make full use of the resource of caching server among the CDN like situation such as user capture is too much or very few at user behavior; When guaranteeing the customer service quality, improve the resource utilization of CDN.
Description of drawings
Fig. 1 is the realization flow sketch map of content distributing network management method of the present invention;
Fig. 2 is the realization flow sketch map of content distributing network management method one specific embodiment of the present invention;
Fig. 3 is the composition structural representation of content distributing network management devices of the present invention;
Fig. 4 is the configuration diagram of the system of application content distributing network management devices of the present invention.
Embodiment
Basic thought of the present invention is: the performance of monitoring virtual cache server; Performance data and CDN service performance index that monitoring is obtained compare; According to comparing result, carry out the integration of virtual cache server and dispose.
For making the object of the invention, technical scheme and advantage clearer, below lift embodiment and with reference to accompanying drawing, to further explain of the present invention.
Fig. 1 shows the realization flow of content distributing network management method of the present invention, and is as shown in Figure 1, and said method comprises the steps:
Particularly, in this step, can monitor the situation such as CPU, internal memory, the network bandwidth, cache hit rate of virtual cache server in real time;
In addition; In the embodiment of the invention; The virtual cache server can be for realizing, form the form of caching server cluster through Intel Virtualization Technology; Can move a plurality of virtual cache servers (virtual machine) on the common physical machine, utilize existing Intel Virtualization Technology can realize functions such as switch virtual machine, adjustment resources of virtual machine, migration virtual machine, virtual machine snapshot.
Here; CDN service performance index is shone upon the CDN service performance index of the quantification that obtains for the service level agreement according to CDN service provider and ICP signing; Wherein a kind of mapping method particularly can for: the service level agreement that CDN service provider and ICP are signed gets up with stored in form such as numerals, and content comprises internal memory, bandwidth, cpu demand etc.; Different weights is set then according to the actual requirements in advance, quantizes internal memory, bandwidth, cpu demand of said preservation etc., and then obtain CDN service performance index.
Particularly, when the performance data that obtains when monitoring is lower than said CDN service performance index, then expand the resource that said virtual cache server uses;
The performance data that obtains when monitoring surpasses said CDN service performance index and not ultra preset amount, then finishes to work as pre-treatment;
When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
Fig. 2 shows the realization flow of content distributing network management method one specific embodiment of the present invention, and is as shown in Figure 2, and said embodiment comprises the steps:
Step 201 is mapped as service level agreement the CDN service performance index of quantification;
Here; CDN service performance index is shone upon the CDN service performance index of the quantification that obtains for the service level agreement according to CDN service provider and ICP signing; Particularly; The service level agreement of CDN service provider and ICP signing is got up with stored in form such as numerals, and content comprises internal memory, bandwidth, cpu demand etc.; Different weights is set then according to the actual requirements in advance, quantizes internal memory, bandwidth, cpu demand of said preservation etc., and then obtain CDN service performance index.
Step 202, the performance of monitoring virtual cache server;
Particularly, in this step, can monitor the situation such as CPU, internal memory, the network bandwidth, cache hit rate of virtual cache server in real time;
In addition; In the embodiment of the invention; The virtual cache server can be the caching server cluster of realizing through Intel Virtualization Technology; Can move a plurality of virtual cache servers (virtual machine) on the common physical machine, utilize existing Intel Virtualization Technology can realize functions such as switch virtual machine, adjustment resources of virtual machine, migration virtual machine, virtual machine snapshot.
Step 203, performance data and CDN service performance index that monitoring is obtained compare;
Particularly, when the performance data that obtains when monitoring is lower than said CDN service performance index, execution in step 204; When the performance data that obtains when monitoring surpasses said CDN service performance index and do not exceed preset amount, then finish to work as pre-treatment; When the performance data that obtains when monitoring surpassed said CDN service performance index and exceeds preset amount, then execution in step 209;
Wherein, preset amount can be the scale that exceeds shared this CDN service performance index of part of CDN service performance index, and the characteristics such as sudden that specifically can exist according to user access activity are provided with flexibly, for example can be 10% or the like.
Step 204 judges whether the current affiliated physical machine of said virtual cache server also has surplus resources, if then execution in step 205, otherwise, execution in step 206;
Step 205 when the physical machine under said virtual cache server is current has surplus resources, then directly increases the resource that said virtual cache server uses in said physical machine, and current handling process finishes;
Step 206 if said current affiliated physical machine does not have surplus resources, judges further whether surplus resources is arranged on other physical machine; If have, execution in step 207, otherwise, execution in step 208;
Step 207 has surplus resources can supply said virtual cache server to use the time on other physical machine, then with said virtual cache server migration on said other physical machine, to realize dilatation, current handling process finishes;
Step 208 when said other physical machine all do not have surplus resources, is then opened new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation, current handling process finishes;
Step 209 judges whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated, and if not, then execution in step 210, if then execution in step 211;
Here; Can carry out the judgement that whether can integrate according to the surplus resources of physical machine and virtual cache server resource requirement; Particularly; When surplus resources such as the CPU that has a physical machine, internal memory, the network bandwidth during, then can integrate greater than the said summation that is in the virtual cache server resource requirement on the different physical machine; Otherwise can not integrate.
Step 210 when above-mentioned virtual cache server can not be integrated, then reduces the resource that said virtual cache server uses, and current handling process finishes;
Here, can offer other ICP and use through reducing the surplus resources that said virtual cache server uses resource to obtain.
Step 211, when above-mentioned virtual cache server can be integrated, with said virtual cache server migration and integration, current handling process finished;
Here, after said virtual cache Server Consolidation finishes, can close the physical machine that need not use, or said physical machine is distributed to other ICP use.
Fig. 3 shows the composition structure of content distributing network management devices of the present invention, and is as shown in Figure 3, and said device comprises: monitoring resource module 31, resource deployment module 32; Wherein,
Monitoring resource module 31 is used to monitor the performance of virtual cache server;
Further, said device also comprises: service level agreement module 33 is used for the service level agreement of signing in advance is mapped as the CDN service performance index of quantification.
Wherein, said resource deployment module 32 specifically is used for when the performance data that obtains of monitoring is lower than said CDN service performance index, then expanding the resource that said virtual cache server uses; The performance data that obtains when monitoring surpasses said CDN service performance index and does not exceed preset amount, then finishes to work as pre-treatment; When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
Wherein, said resource deployment module 32 is used to specifically judge whether the current affiliated physical machine of said virtual cache server has surplus resources, if having, then directly increases the resource that said virtual cache server uses in said physical machine; If said current affiliated physical machine does not have surplus resources, judge further then whether surplus resources is arranged on other physical machine, if having, then said virtual cache server migration is arrived other physical machine, to realize dilatation; If said other physical machine all do not have surplus resources, then open new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation.
Wherein, said resource deployment module 32 is used to specifically judge whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated, if, then with said virtual cache server migration and integration; If not, then reduce the resource that said virtual cache server uses.
Framework when Fig. 4 shows content distributing network management devices of the present invention and is applied to content distributing network; As shown in Figure 4; The service level agreement module of content distributing network device, resource deployment module and monitoring resource module can be deployed on the different physical machine respectively; Carry out alternately through service bus and caching server cluster, the caching server cluster is made up of a plurality of physical machine that are deployed with the virtual cache server here, and each physical machine links to each other with service bus.
The above is merely preferred embodiment of the present invention, is not to be used to limit protection scope of the present invention.
Claims (10)
1. a content distributing network management method is characterized in that, said method comprises:
The performance of monitoring virtual cache server;
Performance data and content distributing network CDN service performance index that monitoring is obtained compare;
According to comparing result, carry out the integration of virtual cache server and dispose.
2. method according to claim 1 is characterized in that, before the performance of monitoring virtual cache server, said method also comprises:
The service level agreement of signing in advance is mapped as the CDN service performance index of quantification.
3. method according to claim 1 is characterized in that, and is said according to comparing result, and the integration of carrying out the virtual cache server is deployed as:
When the performance data that obtains when monitoring is lower than said CDN service performance index, then expand the resource that said virtual cache server uses;
The performance data that obtains when monitoring surpasses said CDN service performance index and does not exceed preset amount, then finishes to work as pre-treatment;
When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
4. method according to claim 3 is characterized in that, the resource that the said virtual cache server of said expansion uses is:
Judge that whether the current affiliated physical machine of said virtual cache server has surplus resources, if having, then directly increases the resource that said virtual cache server uses in said physical machine;
If said current affiliated physical machine does not have surplus resources, judge further then whether surplus resources is arranged on other physical machine, if having, then said virtual cache server migration is arrived other physical machine, to realize dilatation;
If said other physical machine all do not have surplus resources, then open new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation.
5. method according to claim 3 is characterized in that, said resource of dwindling said virtual cache server use is:
Judge whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated, if, then with said virtual cache server migration and integration;
If not, then reduce the resource that said virtual cache server uses.
6. a content distributing network management devices is characterized in that, said device comprises: monitoring resource module, resource deployment module; Wherein,
The monitoring resource module is used to monitor the performance of virtual cache server;
The resource deployment module, the performance data and the CDN service performance index that are used for monitoring is obtained compare, and according to comparing result, carry out the integration of virtual cache server and dispose.
7. device according to claim 6 is characterized in that, said device also comprises: the service level agreement module is used for the service level agreement of signing in advance is mapped as the CDN service performance index of quantification.
8. device according to claim 6 is characterized in that, said resource deployment module specifically is used for when the performance data that obtains of monitoring is lower than said CDN service performance index, then expanding the resource that said virtual cache server uses; The performance data that obtains when monitoring surpasses said CDN service performance index and does not exceed preset amount, then finishes to work as pre-treatment; When the performance data that obtains when monitoring surpasses said CDN service performance index and exceeds preset amount, then dwindle the resource that said virtual cache server uses.
9. device according to claim 8; It is characterized in that said resource deployment module is used to specifically judge whether the current affiliated physical machine of said virtual cache server has surplus resources; If have, then directly increase the resource that said virtual cache server uses in said physical machine; If said current affiliated physical machine does not have surplus resources, judge further then whether surplus resources is arranged on other physical machine, if having, then said virtual cache server migration is arrived other physical machine, to realize dilatation; If said other physical machine all do not have surplus resources, then open new physical machine, and with said virtual cache server migration on the physical machine of new unlatching, to realize dilatation.
10. device according to claim 8; It is characterized in that said resource deployment module is used to specifically judge whether the corresponding virtual cache server that is on the different physical machine of said service level agreement can be integrated; If, then with said virtual cache server migration and integration; If not, then reduce the resource that said virtual cache server uses.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103179200A (en) * | 2013-03-08 | 2013-06-26 | 深圳嘉蓝天网科技有限公司 | Management system and method for internet surfing accelerating equipment of mobile terminal |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7099936B2 (en) * | 2002-03-29 | 2006-08-29 | International Business Machines Corporation | Multi-tier service level agreement method and system |
CN1859213A (en) * | 2006-03-01 | 2006-11-08 | 华为技术有限公司 | System and method for securing service lelel in content distribution network |
CN1902588A (en) * | 2004-01-14 | 2007-01-24 | 国际商业机器公司 | Maintaining application operations within a suboptimal grid environment |
CN101488098A (en) * | 2009-02-13 | 2009-07-22 | 华中科技大学 | Multi-core computing resource management system based on virtual computing technology |
CN101841531A (en) * | 2010-03-16 | 2010-09-22 | 中国科学院计算技术研究所 | Simulating method and system for CDN-P2P (Content Distribution Network-Peer-to-Peer) hybrid network |
CN101945253A (en) * | 2010-09-03 | 2011-01-12 | 深圳市同洲电子股份有限公司 | Method and system for realizing video-on-demand on single server |
CN102077189A (en) * | 2008-06-30 | 2011-05-25 | 亚马逊技术有限公司 | Request routing using network computing components |
-
2011
- 2011-05-27 CN CN2011101412804A patent/CN102801550A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7099936B2 (en) * | 2002-03-29 | 2006-08-29 | International Business Machines Corporation | Multi-tier service level agreement method and system |
CN1902588A (en) * | 2004-01-14 | 2007-01-24 | 国际商业机器公司 | Maintaining application operations within a suboptimal grid environment |
CN1859213A (en) * | 2006-03-01 | 2006-11-08 | 华为技术有限公司 | System and method for securing service lelel in content distribution network |
CN102077189A (en) * | 2008-06-30 | 2011-05-25 | 亚马逊技术有限公司 | Request routing using network computing components |
CN101488098A (en) * | 2009-02-13 | 2009-07-22 | 华中科技大学 | Multi-core computing resource management system based on virtual computing technology |
CN101841531A (en) * | 2010-03-16 | 2010-09-22 | 中国科学院计算技术研究所 | Simulating method and system for CDN-P2P (Content Distribution Network-Peer-to-Peer) hybrid network |
CN101945253A (en) * | 2010-09-03 | 2011-01-12 | 深圳市同洲电子股份有限公司 | Method and system for realizing video-on-demand on single server |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103179200B (en) * | 2013-03-08 | 2018-07-06 | 深圳银链科技有限公司 | Management system and method for internet surfing accelerating equipment of mobile terminal |
CN103179200A (en) * | 2013-03-08 | 2013-06-26 | 深圳嘉蓝天网科技有限公司 | Management system and method for internet surfing accelerating equipment of mobile terminal |
WO2016179894A1 (en) * | 2015-05-12 | 2016-11-17 | 网宿科技股份有限公司 | Cdn-based content management system |
CN104834722B (en) * | 2015-05-12 | 2018-03-02 | 网宿科技股份有限公司 | Content Management System based on CDN |
CN109218360A (en) * | 2017-07-03 | 2019-01-15 | 中国电信股份有限公司 | Co computer room opens the method and system of cloud resource block to ICP server dynamic |
CN109218360B (en) * | 2017-07-03 | 2021-03-23 | 中国电信股份有限公司 | Method and system for dynamically opening cloud resource block to ICP server by Co machine room |
US11005717B2 (en) | 2018-07-16 | 2021-05-11 | Wangsu Science & Technology Co., Ltd. | Storage capacity evaluation method based on content delivery network application and device thereof |
CN109005056A (en) * | 2018-07-16 | 2018-12-14 | 网宿科技股份有限公司 | Storage capacity evaluation method and apparatus based on CDN application |
CN109167812A (en) * | 2018-08-02 | 2019-01-08 | 网宿科技股份有限公司 | Evaluation services quality, the method for determining adjustable strategies, server and storage medium |
CN109167812B (en) * | 2018-08-02 | 2022-07-08 | 网宿科技股份有限公司 | Method for evaluating service quality and determining adjustment strategy, server and storage medium |
EP3640802A4 (en) * | 2018-08-09 | 2021-01-27 | Wangsu Science & Technology Co., Ltd. | Io performance evaluation method and device for cache server |
US11106561B2 (en) | 2018-08-09 | 2021-08-31 | Wangsu Science & Technology Co., Ltd. | Method and device for evaluating IO performance of cache servers |
CN109587223A (en) * | 2018-11-20 | 2019-04-05 | 北京奇艺世纪科技有限公司 | Data aggregation method, device and system |
CN109787827A (en) * | 2019-01-18 | 2019-05-21 | 网宿科技股份有限公司 | A kind of method and device of CDN network monitoring |
CN109787827B (en) * | 2019-01-18 | 2022-02-15 | 网宿科技股份有限公司 | CDN network monitoring method and device |
CN111756800A (en) * | 2020-05-21 | 2020-10-09 | 网宿科技股份有限公司 | Method and system for processing burst flow |
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Application publication date: 20121128 |