CN103078922A - Resource releasing system based on virtual computing environment - Google Patents
Resource releasing system based on virtual computing environment Download PDFInfo
- Publication number
- CN103078922A CN103078922A CN201210585921XA CN201210585921A CN103078922A CN 103078922 A CN103078922 A CN 103078922A CN 201210585921X A CN201210585921X A CN 201210585921XA CN 201210585921 A CN201210585921 A CN 201210585921A CN 103078922 A CN103078922 A CN 103078922A
- Authority
- CN
- China
- Prior art keywords
- resource
- information
- attribute information
- issue
- node
- 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.)
- Pending
Links
Images
Abstract
The invention provides a resource releasing system based on a virtual computing environment, and the resource releasing system comprises a node-level resource releasing unit and a system-level resource releasing unit for collecting and integrating information. According to the resource releasing system based on the virtual computing environment, by reasonably layering the organization, a loose-coupling working mode of software modules can be realized, so that the operation maintenance cost of relevant software module in the virtual computing environment can be reduced, the development period of a novel application can be shortened, and the system flexibility, robustness and expandability can be improved.
Description
Technical field
The invention belongs to computer realm, be specifically related to a kind of resource delivery system based on virtual computation environmental.
Background technology
Existing virtual computation environmental is based on the computation model of the Internet, and its essence also is a distributed system.In distributed system, need resource information real-time, the various computational resources of Obtaining Accurate, they will be as basic information for other modules of internal system (such as task scheduling modules).In virtual computation environmental, also need to have similar approach to solve this problem.
The problem that current large-scale distributed system mainly faces aspect resource acquisition is that each software module degree of coupling is too high, so that the operation maintenance of whole system is high, the application and development cycle is long; Flexibility, autgmentability and robustness are not strong.And current distributed system and the task of data center and resource dispatching strategy are taked central controlled mode mostly, are difficult to accomplish the requirement of as required polymerization resource.
Summary of the invention
For overcoming defects, the invention provides a kind of resource delivery system based on virtual computation environmental, by reasonably organizing layering, realize the mode of operation of loose coupling between software module, so that in virtual computation environmental, can reduce the new construction cycle of using of operation expense, shortening of related software module, and improve flexibility, robustness and the autgmentability of system.
For achieving the above object, the invention provides a kind of resource delivery system based on virtual computation environmental, its improvements are, described system comprises: node level resource release unit and gather and integrate the system-level resource release unit of its information.
In the optimal technical scheme provided by the invention, described node level resource release unit comprises: be arranged on the node level resource issue assembly that each dummy node in the virtual resource layer is issued this nodal information.
In the second optimal technical scheme provided by the invention, each virtual node information of described virtual resource layer comprises: static attribute information and dynamic attribute information.
In the 3rd optimal technical scheme provided by the invention, static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed.
In the 4th optimal technical scheme provided by the invention, dynamic attribute information comprises: application service kind, degrees of comparison evaluation information and the mission bit stream of having finished and having processed.
In the 5th optimal technical scheme provided by the invention, each node level resource issue assembly, the information that the dummy node that Capture and publish is corresponding with it gathers.
In the 6th optimal technical scheme provided by the invention, described system-level resource release unit comprises: the system-level resource release module of resource management layer and collection, arrangement and issue virtual node information.
In the 7th optimal technical scheme provided by the invention, described resource management layer according to the difference of different business loads to resource requirement, is formulated corresponding resource matched strategy.
In the 8th optimal technical scheme provided by the invention, business load comprises: computation-intensive is professional, storage class is professional and the intensive business of I/O; Resource matched strategy comprises: respectively with the intensive professional corresponding virtual node information that possesses CPU, disk, I/O rate conditions of the professional and described I/O of professional, the described storage class of described computation-intensive.
In the 9th optimal technical scheme provided by the invention, described system-level resource release module is classified to the resource information of issue, and is issued resource information with different frequencies to business load.
In the tenth optimal technical scheme provided by the invention, resource information comprises: static attribute information and dynamic attribute information; The issue frequency acquiescence of static attribute information is one month; The issue frequency acquiescence of dynamic attribute information was 5 seconds.
In the more preferably technical scheme provided by the invention, the issue frequency of static attribute information and dynamic attribute information configures according to demand, as changes and then carry out real-time update.
Provided by the invention second more preferably in the technical scheme, and static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed; Dynamic attribute information comprises: CPU usage, memory usage, disk utilization rate, network delay and packet loss and task process information.
Compared with the prior art, a kind of resource delivery system based on virtual computation environmental provided by the invention, a kind of obtain manner of resource information loose coupling is provided, and source material information has been integrated according to business load feature various dimensions, the reference of fine granularity, various dimensions is provided for task scheduling.The method has solved the problem of the aspects such as maintenance that the mode of traditional distributed system close coupling obtaining information brings and expansion, simultaneously, also provides infrastructural support for " the as required polymerization " and " independently working in coordination with " that realizes computational resource; By reasonably organizing layering, realize the mode of operation of loose coupling between software module, so that in virtual computation environmental, can reduce operation expense, the shortening application and development cycle of related software module, and improve flexibility, autgmentability and the robustness of system; Moreover so that the resource information third partyization, the optant of resource and selected person have higher flexibility ratio, can really accomplish " the as required polymerization, autonomous collaborative " of resource.
Description of drawings
Fig. 1 is the structural representation based on the resource delivery system of virtual computation environmental.
Embodiment
As shown in Figure 1, the resource delivery system based on virtual computation environmental comprises: node level resource release unit and gather and integrate the system-level resource release unit of its information.
Described node level resource release unit comprises: be arranged on the node level resource issue assembly that each dummy node in the virtual resource layer is issued this nodal information.
Each virtual node information of described virtual resource layer comprises: static attribute information and dynamic attribute information.
Static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed.
Dynamic attribute information comprises: application service kind, degrees of comparison evaluation information and the mission bit stream of having finished and having processed.
Each node level resource issue assembly, the information that the dummy node that Capture and publish is corresponding with it gathers.
Described system-level resource release unit comprises: the system-level resource release module of resource management layer and collection, arrangement and issue virtual node information.
Described resource management layer according to the difference of different business loads to resource requirement, is formulated corresponding resource matched strategy.
Business load comprises: computation-intensive is professional, storage class is professional and the intensive business of I/O; Resource matched strategy comprises: respectively with the intensive professional corresponding virtual node information that possesses CPU, disk, I/O rate conditions of the professional and described I/O of professional, the described storage class of described computation-intensive.
Described system-level resource release module is classified to the resource information of issue, and is issued resource information with different frequencies to business load.
Resource information comprises: static attribute information and dynamic attribute information; The issue frequency acquiescence of static attribute information is one month; The issue frequency acquiescence of dynamic attribute information was 5 seconds.
The issue frequency of static attribute information and dynamic attribute information configures according to demand, as changes and then carry out real-time update.
Static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed; Dynamic attribute information comprises: CPU usage, memory usage, disk utilization rate, network delay and packet loss and task process information.
By following examples the resource delivery system based on virtual computation environmental is described further.
As shown in Figure 1, the resource delivery system based on virtual computation environmental comprises:
1) the resource release unit of node level
In virtual computation environmental, numerous dummy nodes is arranged.The resource issue of node level is exactly the limit of power of fully declaring dummy node self.Minute two aspects, one is the system-level resource information such as the CPU, internal memory, disk, operating system, the network bandwidth, I/O speed such as resource; The application-level information such as mission bit stream that another is this dummy node application service kind that can provide, degrees of comparison evaluation information, finished and processed.In the resource issue mechanism that the present invention describes, each dummy node that is in the virtual computation environmental needs the various resource informations of self are issued out, and in the mode appointed information is put into assigned address (generally local at dummy node), such as the mode of FTP.The issue of the resource of this form is called the resource issue of node level, issue all be the most original resource information, gather as required for other modules of system." gather as required " implication that two aspects are arranged: on the one hand, whom who needs just can check collection; On the other hand, need anything what just gathers.
2) system-level resource release unit
System-level resource issue is in fact the secondary resource view after the raw information of node level resource issue is processed according to certain integrated strategy.On the basis that business load is fully analyzed, the principle different to the emphasis of resource requirement according to different business loads, such as computation-intensive is professional, storage class is professional, the intensive business of I/O respectively has requirement etc. to CPU, disk, I/O speed respectively, formulate corresponding Resources Coordinating Strategy.The strategy of resource consolidation can be various dimensions according to the needs of business load, such as according to the credit rating value of virtual resource, application service kind, bandwidth time delay and packet loss that virtual resource can provide, access carrier classification, energy consumption size etc.Adopt a special module to come the source material information of node level resource issue is integrated according to certain strategy among the present invention, and carry out secondary according to the mode of agreement and issue, so that the task scheduling modules of different business loads has an optimized foundation when selecting virtual resource as required.The resource issue of this form is called system-level resource issue.
In the drawings the residing software level of dummy node is called the virtual resource layer, the residing software level of the module of carrying out specially resource information processing is called resource management layer.At first, resource management layer is according to the source material information of the mode of arranging from each dummy node acquisition node level issue; Then, it carries out analyzing and processing according to certain integrated strategy; At last, the result is published to the position of appointment as the secondary view of resource, uses for other modules of system.
3) frequency of resource issue
In order accurately to issue in time again resource information, in the resource issue mechanism that the present invention describes, no matter be node level or the issue of system-level resource, all should carry out with certain frequency.Some does not change resource information in the dummy node basically, and such as OS Type, CPU model, memory amount, disk total amount etc., we are referred to as the static attribute information of resource; Some is real-time change, and such as CPU usage, memory usage, disk utilization rate, network delay and packet loss, task process information etc., we are referred to as the dynamic attribute information of resource.This machine-processed information issue frequency has taken into full account both othernesses, issues respectively.The issue frequency of static attribute information is far smaller than the issue frequency of dynamic attribute information, and according to the real-time changes in demand of system, we realize that in system the issue frequency is configurable.
Along with the frequency adjustment of node level resource issue, the frequency acquisition of resource management layer also needs to carry out certain adjustment.In general, frequency acquisition should be slightly larger than the resource issue frequency of node, and the employing frequency values coprime with node issue frequency, can be normal with the assurance collecting work.
What need statement is that content of the present invention and embodiment are intended to prove the practical application of technical scheme provided by the present invention, should not be construed as the restriction to protection range of the present invention.Those skilled in the art can do various modifications, be equal to and replace or improve inspired by the spirit and principles of the present invention.But these changes or modification are all in the protection range that application is awaited the reply.
Claims (13)
1. the resource delivery system based on virtual computation environmental is characterized in that, described system comprises: node level resource release unit and gather and integrate the system-level resource release unit of its information.
2. system according to claim 1 is characterized in that, described node level resource release unit comprises: be arranged on the node level resource issue assembly that each dummy node in the virtual resource layer is issued this nodal information.
3. system according to claim 2 is characterized in that, each virtual node information of described virtual resource layer comprises: static attribute information and dynamic attribute information.
4. system according to claim 3 is characterized in that, static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed.
5. system according to claim 3 is characterized in that, dynamic attribute information comprises: application service kind, degrees of comparison evaluation information and the mission bit stream of having finished and having processed.
6. system according to claim 2 is characterized in that, each node level resource issue assembly, the information that the dummy node that Capture and publish is corresponding with it gathers.
7. system according to claim 1 is characterized in that, described system-level resource release unit comprises: the system-level resource release module of resource management layer and collection, arrangement and issue virtual node information.
8. system according to claim 7 is characterized in that, described resource management layer according to the difference of different business loads to resource requirement, is formulated corresponding resource matched strategy.
9. system according to claim 8 is characterized in that, business load comprises: computation-intensive is professional, storage class is professional and the intensive business of I/O; Resource matched strategy comprises: respectively with the intensive professional corresponding virtual node information that possesses CPU, disk, I/O rate conditions of the professional and described I/O of professional, the described storage class of described computation-intensive.
10. system according to claim 7 is characterized in that, described system-level resource release module is classified to the resource information of issue, and issued resource information with different frequencies to business load.
11. system according to claim 10 is characterized in that, resource information comprises: static attribute information and dynamic attribute information; The issue frequency acquiescence of static attribute information is one month; The issue frequency acquiescence of dynamic attribute information was 5 seconds.
12. system according to claim 11 is characterized in that, the issue frequency of static attribute information and dynamic attribute information configures according to demand, as changes and then carry out real-time update.
13. system according to claim 11 is characterized in that, static attribute information comprises: CPU, internal memory, disk, operating system, the network bandwidth and I/O speed; Dynamic attribute information comprises: CPU usage, memory usage, disk utilization rate, network delay and packet loss and task process information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210585921XA CN103078922A (en) | 2012-12-28 | 2012-12-28 | Resource releasing system based on virtual computing environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210585921XA CN103078922A (en) | 2012-12-28 | 2012-12-28 | Resource releasing system based on virtual computing environment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103078922A true CN103078922A (en) | 2013-05-01 |
Family
ID=48155324
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210585921XA Pending CN103078922A (en) | 2012-12-28 | 2012-12-28 | Resource releasing system based on virtual computing environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103078922A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711724A (en) * | 2018-12-26 | 2019-05-03 | 交通运输部水运科学研究所 | A kind of low value cargo data auditing system and method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101064715A (en) * | 2006-04-24 | 2007-10-31 | 北京正信惠诚科技发展有限公司 | Realization of embedded system based P2P technique |
| CN102164156A (en) * | 2010-02-24 | 2011-08-24 | 腾讯科技（深圳）有限公司 | Method and system for publishing resources |
| US8041928B2 (en) * | 2008-12-22 | 2011-10-18 | International Business Machines Corporation | Information handling system with real and virtual load/store instruction issue queue |
| US20120117625A1 (en) * | 2010-11-09 | 2012-05-10 | Microsoft Corporation | Security system for computing resources pre-releases |
-
2012
- 2012-12-28 CN CN201210585921XA patent/CN103078922A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101064715A (en) * | 2006-04-24 | 2007-10-31 | 北京正信惠诚科技发展有限公司 | Realization of embedded system based P2P technique |
| US8041928B2 (en) * | 2008-12-22 | 2011-10-18 | International Business Machines Corporation | Information handling system with real and virtual load/store instruction issue queue |
| CN102164156A (en) * | 2010-02-24 | 2011-08-24 | 腾讯科技（深圳）有限公司 | Method and system for publishing resources |
| US20120117625A1 (en) * | 2010-11-09 | 2012-05-10 | Microsoft Corporation | Security system for computing resources pre-releases |
Non-Patent Citations (1)
| Title |
|---|
| 刘欣然等: "《基于WWW的计算资源发布》", 《小型微型计算机系统》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711724A (en) * | 2018-12-26 | 2019-05-03 | 交通运输部水运科学研究所 | A kind of low value cargo data auditing system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Xu et al. | Blockchain-based trustworthy energy dispatching approach for high renewable energy penetrated power systems | |
| Berral et al. | Building green cloud services at low cost | |
| Giacobbe et al. | Towards energy management in cloud federation: a survey in the perspective of future sustainable and cost-saving strategies | |
| Quan et al. | Task scheduling for energy consumption constrained parallel applications on heterogeneous computing systems | |
| CN103607466B (en) | A kind of wide-area multi-stage distributed parallel grid analysis method based on cloud computing | |
| CN103207920A (en) | Parallel metadata acquisition system | |
| Rathnayaka et al. | Formation of virtual community groups to manage prosumers in smart grids | |
| Vakulenko et al. | A systematic literature review of smart grids | |
| Chen et al. | Method of carbon obligation allocation between generation side and demand side in power system | |
| Chen et al. | Green Databases Through Integration of Renewable Energy. | |
| CN103078922A (en) | Resource releasing system based on virtual computing environment | |
| Liuguo et al. | Pricing simulation platform based on system dynamics | |
| CN115934856A (en) | Method and system for constructing comprehensive energy data assets | |
| Chen | Visual design of landscape architecture based on high-density three-dimensional internet of things | |
| Liu et al. | Virtual machine dynamic deployment scheme based on double-cursor mechanism | |
| Luo et al. | Analysis and processing of power distribution data based on edge computing | |
| Wang et al. | Discussion on industrial internet platform construction based on power internet of things | |
| Fei et al. | Investigations of business models under energy internet era | |
| Filipowska et al. | Towards forecasting demand and production of electric energy in smart grids | |
| Xu et al. | Application research of blockchain technology in smart energy business model | |
| Guo et al. | A periodic requests dispatcher for energy optimization of hybrid powered data centers | |
| Gu et al. | A green scheduler for cloud data centers using renewable energy | |
| Liu et al. | A hierarchical distributed data mining architecture | |
| Lahti et al. | Big data in evolving energy supply chains | |
| Zhou et al. | Data operation of management accounting in e-commerce enterprises |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20130501 |
|
| RJ01 | Rejection of invention patent application after publication |