CN103269364A - Distributed type cloud computing data migration method - Google Patents
Distributed type cloud computing data migration method Download PDFInfo
- Publication number
- CN103269364A CN103269364A CN2013101732267A CN201310173226A CN103269364A CN 103269364 A CN103269364 A CN 103269364A CN 2013101732267 A CN2013101732267 A CN 2013101732267A CN 201310173226 A CN201310173226 A CN 201310173226A CN 103269364 A CN103269364 A CN 103269364A
- Authority
- CN
- China
- Prior art keywords
- data
- cloud
- user
- request information
- network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Computer And Data Communications (AREA)
Abstract
The invention provides a distributed type cloud computing data migration method. Different data migration methods can be adopted according to different network states. Under the condition that the network state is good, the data migration method based on network transmission is adopted, under the condition that the network state is poor, the data migration method based on pre-storage is adopted, and when the network state constantly changes along with external factors, the data migration method based on the network state is adopted. Due to the fact that the data migration modes are changed according to the network state, the method can effectively shorten response time, reduce dependency on the storage resources, reduce dependency on the network resources, effectively improve working efficiency, enhance working reliability and be suitable for popularization and use.
Description
Technical field
The invention belongs to network technology, distributed technical field relates to cloud computing, and a kind of distributed cloud computing data migration method particularly is used for reducing response time of service that distributed cloud computing platform provides.
Background technology
Distributed cloud computing (Disturbed Cloud Computing) is a kind ofly to supply a pattern at the conceptive new cloud computing platform further combined with distributed computing technology of cloud computing, be a kind of 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 rapidly, 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 (Grid Computing), 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.
The technical scheme of prior art one: the data migration strategy of network-oriented transmission; When the user when non-local cloud login cloud computing system is used service, system is according to the position of user's login, under the coordination of core cloud, the data that the user is required are moved to the user and are logined cloud from the cloud of local.
The shortcoming of prior art one: high to the network environment requirement, the real network environment is difficult to satisfy method 1 demand on the one hand: system is in order to guarantee QoS of customer, and its network bandwidth must satisfy the situation that all users use network simultaneously.Utilization rate of network resource is not high on the other hand, occurs all users in the reality and uses the probability of network very little simultaneously.
The technical scheme of prior art two: Cun Chu data migration strategy in advance; When the user when non-local cloud login cloud computing system is used service, system at first detects whether there is this user's data in the edge cloud, directly uses if exist then, does not move from the cloud of user local if do not exist then.After the user uses data, store data in this edge cloud, so that the user uses next time.
The shortcoming of prior art two: the waste to storage resources is very big, according to this data migration strategy, after after a while, has almost stored user's data in each edge cloud, causes in the network redundant data too much, causes the storage resources waste.
Summary of the invention
Goal of the invention: the purpose of this invention is to provide and a kind ofly can change data migration method according to the difference of network state, can effectively increase work efficiency and reduce the distributed cloud computing data migration method that storage resources is relied on.
Technical scheme: in order solving the problems of the technologies described above, to the invention provides a kind of distributed cloud computing data migration method, can the data migration strategy to be divided into three kinds according to the difference of network state, the first, the data migration method of transmission Network Based; The second, based on the data migration method of storing in advance; The 3rd, the data field moving method of state Network Based.
The detailed process of described data migration is as follows:
One, under the good situation of network state, adopt the data migration method of transmission Network Based:
When 1) user logined edge cloud use cloud computing service, system formed data request information with this data desired by services information and sends to the core cloud;
2) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
3) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
4) after user's service used these data, with the data deletion, again from local cloud moved when using these data next time;
Two, under the situation of network state difference, adopt the data migration method of storing based in advance:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system forms data request information with this data desired by services and sends to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service uses these data, store data in this edge cloud, so that the user uses next time;
Three, when network state constantly changes with extraneous factor, adopt the data migration method of state Network Based:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system should be served needed formation data request information and be sent to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service used these data, current network delay was judged by system, greatly then changeed 6 if postpone), otherwise change 7);
6) store data in this edge cloud, so that the user uses next time, change 8);
7) with the data deletion, when the user uses next time, move again from the local cloud;
8) finish.
In the actual environment, the network between each edge cloud is influenced by various factors, and network performance constantly changes.When the user visited the data of oneself, not good when network condition, its data may cause bigger delay by the network transmission, influence the user and experience.State Network Based carries out the method for data migration according to the network current state, factors such as delay, amount of bandwidth, determine whether the user is stored in these data in the edge cloud of its login, if the network quality at cloud platform place is good, then data are not stored in the edge cloud of user's login, if the user's request data are then directly obtained by network, reduce the dependence to storage resources from user's local cloud.The user is stored in the login cloud with its employed data when the network quality difference, obtains the response time to reduce data, reduces it to the requirement of network state.
Beneficial effect: compared with prior art, advantage of the present invention is:
1. satisfy the required response time of user: the inventive method is that prerequisite is selected the data moving method the required response time with the user, therefore, and regardless of current network state, with the service response time that can obtain per family in it stands scope.
2. reduce the dependence to storage resources: the present invention is when network state is relatively good, by network data Direct Transfer from its local cloud that the user is required, take the deficiency of a large amount of storage resources when having avoided storing data in the login cloud in the conventional method, improve the utilance of storage resources, reduced the dependence to storage resources.
3. reduce the dependence to network state: the present invention is when network state is poor, in the edge cloud that user's data is stored in its login, avoided data in network, to transmit causing postponing excessive, guaranteed the response time of service, reduced the dependence to network simultaneously.
Embodiment
The present invention is described in further detail below in conjunction with embodiment, should understand these embodiment and only be used for explanation the present invention and be not used in and limit the scope of the invention.
The present invention is directed to the deficiency of above two kinds of moving methods, a kind of data migration method of state Network Based is proposed, under distributed cloud computing environment, the user is called the user of cloud computing platform by registration in each edge cloud, whether each edge cloud is divided into local cloud and login cloud in its registration according to the user, be that the user registers at certain edge cloud, this edge cloud local cloud that is this user then, user's data all is stored in its oneself the local cloud, and the edge cloud of user's login is called this user's login cloud.
In the actual environment, the network between each edge cloud is influenced by various factors, and network performance constantly changes.When the user visited the data of oneself, not good when network condition, its data may cause bigger delay by the network transmission, influence the user and experience.State Network Based carries out the method for data migration according to the network current state, factors such as delay, amount of bandwidth, determine whether the user is stored in these data in the edge cloud of its login, if the network quality at cloud platform place is good, then data are not stored in the edge cloud of user's login, if the user's request data are then directly obtained by network, reduce the dependence to storage resources from user's local cloud.The user is stored in the login cloud with its employed data when the network quality difference, obtains the response time to reduce data, reduces it to the requirement of network state.
To achieve these goals, the data migration strategy of the state Network Based of the present invention's design, its concrete steps are as follows:
One, under the good situation of network state, adopt the data migration method of transmission Network Based:
When 1) user logined edge cloud use cloud computing service, system formed data request information with this data desired by services information and sends to the core cloud;
2) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
3) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
4) after user's service used these data, with the data deletion, again from local cloud moved when using these data next time.
Two, under the situation of network state difference, adopt the data migration method of storing based in advance:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system forms data request information with this data desired by services and sends to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service uses these data, store data in this edge cloud, so that the user uses next time.
Three, when network state constantly changes with extraneous factor, adopt the data migration method of state Network Based:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system should be served needed formation data request information and be sent to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service used these data, current network delay was judged by system, greatly then changeed 6 if postpone), otherwise change 7);
6) store data in this edge cloud, so that the user uses next time, change 8);
7) with the data deletion, when the user uses next time, move again from the local cloud;
8) finish.
Claims (2)
1. distributed cloud computing data migration method, its card is: can the data migration strategy be divided into three kinds according to the difference of network state, the first, the data migration method of transmission Network Based; The second, based on the data migration method of storing in advance; The 3rd, the data field moving method of state Network Based.
2. a kind of distributed cloud computing data migration method according to claim 1 is characterized in that: the detailed process of described data migration is as follows:
One, under the good situation of network state, adopt the data migration method of transmission Network Based:
When 1) user logined edge cloud use cloud computing service, system formed data request information with this data desired by services information and sends to the core cloud;
2) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
3) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
4) after user's service used these data, with the data deletion, again from local cloud moved when using these data next time;
Two, under the situation of network state difference, adopt the data migration method of storing based in advance:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system forms data request information with this data desired by services and sends to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service uses these data, store data in this edge cloud, so that the user uses next time;
Three, when network state constantly changes with extraneous factor, adopt the data migration method of state Network Based:
1) user logins the edge cloud and uses cloud service, and system detects in the edge cloud whether this data desired by services is arranged, and changes 5 if having);
2) the edge cloud system should be served needed formation data request information and be sent to the core cloud;
3) after the core cloud receives data request information, search this user's local cloud, and this data request information is sent to this user's local cloud;
4) after this user local cloud is received message, data are sent to the edge cloud of user's login according to the information (sending address, data name etc.) of data request information;
5) after user's service used these data, current network delay was judged by system, greatly then changeed 6 if postpone), otherwise change 7);
6) store data in this edge cloud, so that the user uses next time, change 8);
7) with the data deletion, when the user uses next time, move again from the local cloud;
8) finish.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310173226.7A CN103269364B (en) | 2013-05-13 | 2013-05-13 | A kind of distributed cloud computing data migration method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310173226.7A CN103269364B (en) | 2013-05-13 | 2013-05-13 | A kind of distributed cloud computing data migration method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103269364A true CN103269364A (en) | 2013-08-28 |
| CN103269364B CN103269364B (en) | 2016-04-27 |
Family
ID=49012973
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310173226.7A Active CN103269364B (en) | 2013-05-13 | 2013-05-13 | A kind of distributed cloud computing data migration method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103269364B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103561103A (en) * | 2013-11-08 | 2014-02-05 | 北京邮电大学 | Method and device for controlling service migration |
| CN104539689A (en) * | 2014-12-23 | 2015-04-22 | 西安电子科技大学 | Resource monitoring method under cloud platform |
| CN104683442A (en) * | 2015-01-22 | 2015-06-03 | 南京邮电大学 | Mobile equipment energy optimal-allocation method for wireless cloud computation |
| CN105245405A (en) * | 2015-10-27 | 2016-01-13 | 浙江大学软件学院（宁波）管理中心（宁波软件教育中心） | Optimized cloud migration evaluation method for data exchange |
| CN107566150A (en) * | 2016-07-01 | 2018-01-09 | 华为技术有限公司 | Handle the method and physical node of cloud resource |
| CN108826528A (en) * | 2016-03-17 | 2018-11-16 | 漳州龙文区汇洋远软件开发有限公司 | A kind of air purification method of air purifier |
| CN109067859A (en) * | 2018-07-20 | 2018-12-21 | 北京航空航天大学 | A kind of double-deck cloud framework system and implementation method towards cross-domain cooperation with service |
| US10623916B2 (en) | 2014-06-30 | 2020-04-14 | Huawei Technologies Co., Ltd. | Terminal management method and network device for context cluster processing |
| CN111597174A (en) * | 2020-04-24 | 2020-08-28 | 重庆科技学院 | Distributed data statistical processing system, method, storage medium and terminal |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101977242A (en) * | 2010-11-16 | 2011-02-16 | 西安电子科技大学 | Layered distributed cloud computing architecture and service delivery method |
| US20120151061A1 (en) * | 2010-12-14 | 2012-06-14 | International Business Machines Corporation | Management of service application migration in a networked computing environment |
| CN102724306A (en) * | 2012-06-13 | 2012-10-10 | 中山大学 | Cloud computing based method and system for data migration |
-
2013
- 2013-05-13 CN CN201310173226.7A patent/CN103269364B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101977242A (en) * | 2010-11-16 | 2011-02-16 | 西安电子科技大学 | Layered distributed cloud computing architecture and service delivery method |
| US20120151061A1 (en) * | 2010-12-14 | 2012-06-14 | International Business Machines Corporation | Management of service application migration in a networked computing environment |
| CN102724306A (en) * | 2012-06-13 | 2012-10-10 | 中山大学 | Cloud computing based method and system for data migration |
Non-Patent Citations (2)
| Title |
|---|
| XUANJIA QIU.ETC: "Cost-minimizing dynamic migration", 《2012 PROCEEDINGS IEEE》, 31 December 2012 (2012-12-31) * |
| 宿培成: "关于计算机云存储中数据迁移的分析", 《信息安全.计算机》, 31 May 2012 (2012-05-31) * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103561103B (en) * | 2013-11-08 | 2016-07-20 | 北京邮电大学 | The control method of business migration and device |
| CN103561103A (en) * | 2013-11-08 | 2014-02-05 | 北京邮电大学 | Method and device for controlling service migration |
| US10623916B2 (en) | 2014-06-30 | 2020-04-14 | Huawei Technologies Co., Ltd. | Terminal management method and network device for context cluster processing |
| CN104539689A (en) * | 2014-12-23 | 2015-04-22 | 西安电子科技大学 | Resource monitoring method under cloud platform |
| CN104539689B (en) * | 2014-12-23 | 2017-12-26 | 西安电子科技大学 | A kind of resource monitoring method under cloud platform |
| CN104683442B (en) * | 2015-01-22 | 2019-07-02 | 南京邮电大学 | A kind of mobile device optimized distribution method for energy under wireless cloud computing |
| CN104683442A (en) * | 2015-01-22 | 2015-06-03 | 南京邮电大学 | Mobile equipment energy optimal-allocation method for wireless cloud computation |
| CN105245405A (en) * | 2015-10-27 | 2016-01-13 | 浙江大学软件学院（宁波）管理中心（宁波软件教育中心） | Optimized cloud migration evaluation method for data exchange |
| CN105245405B (en) * | 2015-10-27 | 2018-02-23 | 浙江大学软件学院（宁波）管理中心（宁波软件教育中心） | The cloud migration optimization evaluation method that a kind of data-oriented exchanges |
| CN108826528A (en) * | 2016-03-17 | 2018-11-16 | 漳州龙文区汇洋远软件开发有限公司 | A kind of air purification method of air purifier |
| CN107566150A (en) * | 2016-07-01 | 2018-01-09 | 华为技术有限公司 | Handle the method and physical node of cloud resource |
| CN107566150B (en) * | 2016-07-01 | 2020-04-28 | 华为技术有限公司 | Method for processing cloud resources and physical node |
| US10897431B2 (en) | 2016-07-01 | 2021-01-19 | Huawei Technologies Co., Ltd. | Cloud resource processing method and physical node |
| CN109067859A (en) * | 2018-07-20 | 2018-12-21 | 北京航空航天大学 | A kind of double-deck cloud framework system and implementation method towards cross-domain cooperation with service |
| CN109067859B (en) * | 2018-07-20 | 2021-03-16 | 北京航空航天大学 | Cross-domain collaborative service-oriented double-layer cloud architecture system and implementation method |
| CN111597174A (en) * | 2020-04-24 | 2020-08-28 | 重庆科技学院 | Distributed data statistical processing system, method, storage medium and terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103269364B (en) | 2016-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103269364A (en) | Distributed type cloud computing data migration method | |
| Xu et al. | A balanced virtual machine scheduling method for energy-performance trade-offs in cyber-physical cloud systems | |
| CN102739798B (en) | Cloud platform resource scheduling method with network sensing function | |
| Ren et al. | A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast | |
| Zhang et al. | Energy aware virtual network embedding with dynamic demands: Online and offline | |
| CN108170530B (en) | Hadoop load balancing task scheduling method based on mixed element heuristic algorithm | |
| WO2016058415A1 (en) | Application scaling management method and apparatus | |
| CN104850450A (en) | Load balancing method and system facing mixed cloud application | |
| CN103595780A (en) | Cloud computing resource scheduling method based on repeat removing | |
| CN105141656B (en) | A kind of implementation of load balancing of the internet lightweight application based on cloud platform | |
| CN104468752A (en) | Method and system for increasing utilization rate of cloud computing resources | |
| CN105245405B (en) | The cloud migration optimization evaluation method that a kind of data-oriented exchanges | |
| CN110515720B (en) | Cloud computing system service cost and reliability driven job scheduling method | |
| CN102855157A (en) | Method for comprehensively scheduling load of servers | |
| Yuan et al. | Energy aware resource scheduling algorithm for data center using reinforcement learning | |
| Chakraborty et al. | Elastic power utilization in sustainable micro cloud data centers | |
| Pandya et al. | Dynamic resource allocation techniques in cloud computing | |
| CN106412075A (en) | Resource allocation method and device based on cloud computing | |
| Wu et al. | Blender: A traffic-aware container placement for containerized data centers | |
| Sarddar et al. | Central controller framework for mobile cloud computing | |
| CN109831502A (en) | Novel website cloud fictitious host computer framework | |
| Lin et al. | A workload-driven approach to dynamic data balancing in MongoDB | |
| Dhanoa et al. | Power efficient hybrid VM allocation algorithm | |
| CN103237072A (en) | User satisfaction perception-based service placement method for data centers | |
| Chen et al. | Energy efficient virtual network embedding for path splitting |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20171019 Address after: 710071, 2, Taibai South Road, Yanta District, Shaanxi, Xi'an, China Patentee after: Xidian University Address before: 710126, Taibai Road 2, Yanta District, Shaanxi, Xi'an Co-patentee before: Kunshan Innovation Institute of Xidian University Patentee before: Xidian University |