CN102185726B - Method for improving business resource management capability in information grid system - Google Patents
Method for improving business resource management capability in information grid system Download PDFInfo
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- CN102185726B CN102185726B CN201110149532.8A CN201110149532A CN102185726B CN 102185726 B CN102185726 B CN 102185726B CN 201110149532 A CN201110149532 A CN 201110149532A CN 102185726 B CN102185726 B CN 102185726B
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Abstract
The invention provides a control strategy based on combination of fuzzy control and multiplayer optimization, and realizes efficient utilization of information grid system resources. The method provided by the invention has the following advantages that: the invention provides a method for combining joint optimization based on the fuzzy control and multi-dimensional information (including multiplayer and multi-service transmission of the information grid system), and carrying out related statistical characteristics analysis to the business after optimization treatment, the method realizes self-adaption stepless regulation and optimization of the business in the information grid system having isomerism and mix characteristics, further realizes the optimization and utilization of transmission and treatment resources in the information grid system.
Description
Technical field
The present invention relates to communication technical field and fuzzy control field, particularly relate to nformation grid and service resources scheduling mechanism.
Background technology
Nformation grid, take grid technique as basis, is linked to be entirety the resource such as computer, database, memory and software that is distributed in diverse geographic location, and universal information service is provided, and it is the concrete application of grid technique.Nformation grid utilizes grid technique to realize the system of sharing, manage and provide information service of information, what mainly solve is the sharing of wide area, Heterogeneous Information, interconnection and Interoperability, reach and eliminate information island phenomenon, share the target of demand to meet each organizational information.
Nformation grid is an information environment, and it provides communication, information processing, information storage and value-added service, so that user can find information, process information and exchange message, the key problem of its research is new approaches and the common technology of information sharing.Nformation grid can provide resource-sharing, eliminate information island, realize the interconnection and interflow of application program, and it has the feature of collaborative work, and a lot of grid nodes can project of co-treatment, as shown in Figure 1.
Nformation grid system possesses network practical ability and stronger intelligent processing capacity more flexibly, and can meet better the load balancing of network, reaches and rationally utilizes Internet resources, reduces network congestion, improves the object of customer service service quality.Because nformation grid system business has diversity and characteristics of the multimedia, present intelligent and more and more high of individual requirement.These all the service quality to network (QoS) have higher requirement, more and more higher to the requirement of the network parameters such as bandwidth, delay, shake and packet loss rate.
In sum: be necessary to adopt efficient strategy that the service resources in nformation grid is efficiently dispatched and managed.
Summary of the invention
Technical problem to be solved by this invention is: improve and improve the service resource management optimization ability in nformation grid system.
The present invention for solving the problems of the technologies described above adopted technical scheme is: by adopting service resources control, the service resources in nformation grid system is managed to optimization process; Provide a kind of and manage based on fuzzy control method and resource optimization the control strategy combining, the method is divided and is controlled service resource management Optimization Dept. by adopting resource observer and fuzzy controller to combine, optimize partial interior to service resources mirror image and optimizing scheduling at service resource management, thereby improve service resources Optimized Operation and the managerial ability in nformation grid system; It is characterized in that: manage the service resource management ability of optimizing in the method raising transmitting procedure combining by invention service resources control section and service resources, comprise the following steps:
A, employing service resources control section, take control behavior according to information for supporting some decision to the service resources in nformation grid system;
B, the service resources in nformation grid system is managed to optimization process.
In described steps A, at the service resources control section of nformation grid system, resource observer obtains current resource state information from business resource pool, information timing in itself and knowledge base and experience storehouse is transferred into buffer unit as the information for supporting some decision that judges whether service resource management optimization part to take the behavior of controlling, if need take control behavior, trigger mode fuzzy controllers is controlled service resources coupling and service resources scheduler module, the fuzzy control rule that fuzzy controller adopts is provided by fuzzy logic ordination storehouse, as shown in Figure 2.
In described step B, optimize part at the service resource management of nformation grid system, first estimate application layer demand, the service optimization algorithm parameter in constraints and the initialization information grid of business is set, wherein j is Business Stream sequence number, and i is node ID, p
i, jfor the service time of i node to Business Stream j, s
jikfor be later than the Serial relation settling time of Business Stream j Business Stream k in node i, α is the weighted value of the deadline of Business Stream j, and β is the processed deadlines of all business, and B is positive integer, ω
jifor node i is to the finishing dealing with the time of Business Stream j, carry out nformation grid service resources Optimized Operation.
In described step B, can adopt following methods to solve to above-mentioned service optimization scheduling model, (1) set up time related sequence between Business Stream k, obtain the initiation sequence of Business Stream, make k=2, from business dispatch list, select two Business Streams, make the total deadline weighted value minimum of Business Processing of nformation grid system, a wherein optimum weighted value is set as currency; (2) increase gradually single Business Stream, by being that current solution produces k candidate sequence, in this sequence, select the sequential value of overall deadline local optimum in surplus lines stream, upgrading selecteed locally optimal solution is currency.If when k gets the maximum of permission, can obtain optimal solution, and stop calculating, otherwise, continue to increase gradually single Business Stream, repeated execution of steps (2).
In described step B, complete nformation grid system business resource mirror image and optimizing scheduling, first carry out the scheduling time of concurrent service and optimize.Then carry out interative computation, under business scheduling time optimal conditions, repeatedly carry out and calculate, storage and communication task.
In described step B, executive system is analyzed, measure service resources and manage optimization process required time, estimate the resource requirement based on application, judge whether dynamic application exists, if dynamic application exists, be back to and in nformation grid system, estimate application layer demand, if there is not dynamic application, be directly back to service resources coupling and priority scheduling of resource.
Beneficial effect of the present invention is: proposed a kind ofly to manage based on fuzzy control method and resource optimization the control strategy combining, the method is divided and is controlled service resource management Optimization Dept. by adopting resource observer and fuzzy controller to combine, optimize partial interior to service resources mirror image and optimizing scheduling at service resource management, thereby improve service resources Optimized Operation and the managerial ability in nformation grid system.
Accompanying drawing explanation
Fig. 1 is nformation grid system schematic
Fig. 2 is nformation grid system business Optimized Operation and management process schematic diagram
Embodiment
According to drawings and embodiments the present invention is described in further detail below:
Basic ideas of the present invention are as follows: provide a kind of and manage based on fuzzy control method and resource optimization the control strategy combining, realize service resources Optimized Operation in nformation grid system and the raising of managerial ability.
1. at the service resources control section of nformation grid system, resource observer obtains current resource state information from business resource pool, information timing in itself and knowledge base and experience storehouse is transferred into buffer unit as the information for supporting some decision that judges whether service resource management optimization part to take the behavior of controlling, if need take control behavior, trigger mode fuzzy controllers is controlled service resources coupling and service resources scheduler module, the fuzzy control rule that fuzzy controller adopts is provided by fuzzy logic ordination storehouse, as shown in Figure 2.
2. optimize part at the service resource management of nformation grid system, first estimate application layer demand, service optimization algorithm parameter in constraints and the initialization information grid of business is set, service resource management in nformation grid system is optimized part, first estimate application layer demand, the service optimization algorithm parameter in constraints and the initialization information grid of business is set, wherein j is Business Stream sequence number, i is node ID, p
i, jfor the service time of i node to Business Stream j, s
jikfor be later than the Serial relation settling time of Business Stream j Business Stream k in node i, α is the weighted value of the deadline of Business Stream j, and β is the processed deadlines of all business, and B is positive integer, ω
jifor node i is carried out nformation grid service resources Optimized Operation to the time of finishing dealing with of Business Stream j.
3. pair above-mentioned service optimization scheduling model can adopt following methods to solve, (1) set up time related sequence between Business Stream k, obtain the initiation sequence of Business Stream, make k=2, from business dispatch list, select two Business Streams, make the total deadline weighted value minimum of Business Processing of nformation grid system, a wherein optimum weighted value is set as currency; (2) increase gradually single Business Stream, by being that current solution produces k candidate sequence, in this sequence, select the sequential value of overall deadline local optimum in surplus lines stream, upgrading selecteed locally optimal solution is currency.If when k gets the maximum of permission, can obtain optimal solution, and stop calculating, otherwise, continue to increase gradually single Business Stream, repeated execution of steps (2).
4. complete nformation grid system business resource mirror image and optimizing scheduling, first carry out the scheduling time of concurrent service and optimize.Then carry out interative computation, under business scheduling time optimal conditions, repeatedly carry out and calculate, storage and communication task.
5. executive system analysis, measure service resources and manage optimization process required time, estimate the resource requirement based on application, judge whether dynamic application exists, if dynamic application exists, be back in nformation grid and estimate application layer demand, if there is not dynamic application, be directly back to service resources coupling and priority scheduling of resource.
The invention provides and a kind ofly manage based on fuzzy control method and resource optimization the control strategy combining, realize high efficiency of transmission and the management of the service resources in nformation grid system.
Claims (3)
1. one kind is improved the method for the service resource management ability in nformation grid system, adopting resource observer and fuzzy controller to combine divides and controls service resource management Optimization Dept., realize high efficiency of transmission and the management of the service resources in nformation grid system, comprise the steps:
A, adopt service resources control section, according to information for supporting some decision, the service resources in nformation grid system is taked to control behavior, be specially: the service resources control section in nformation grid system, resource observer obtains current resource state information from business resource pool, information timing in resource state information and knowledge base and experience storehouse is transferred into buffer unit as the information for supporting some decision that judges whether service resource management optimization part to take the behavior of controlling, if need take control behavior, trigger mode fuzzy controllers is controlled service resources coupling and service resources scheduler module, the fuzzy control rule that fuzzy controller adopts is provided by fuzzy logic ordination storehouse,
B, the service resources in nformation grid system is managed to optimization process, be specially: business Scheduling Optimization Model is solved, (1) set up time related sequence between Business Stream, obtain the initiation sequence of Business Stream k, make k=2, from business dispatch list, select two Business Streams, make the total deadline weighted value minimum of Business Processing of nformation grid system, a wherein optimum weighted value is set as currency; (2) increase gradually single Business Stream, by be k candidate sequence of current solution generation in surplus lines stream, in this sequence, select the sequential value of overall deadline local optimum, upgrading selecteed locally optimal solution is currency, if when k gets the maximum of permission, can obtain optimal solution, and stop calculating, otherwise, continue to increase gradually single Business Stream, repeated execution of steps (2).
2. according to the method for claim 1, it is characterized in that for described step B: complete nformation grid system business resource mirror image and optimizing scheduling, first carrying out the scheduling time of concurrent service optimizes, then carry out interative computation, under business scheduling time optimal conditions, repeatedly carry out calculating, storage and communication task.
3. according to the method for claim 1, it is characterized in that for described step B: executive system analysis, measure service resources and manage optimization process required time, estimate the resource requirement based on application, judge whether dynamic application exists, if dynamic application exists, be back to and in nformation grid system, carry out application layer needs estimate, if there is not dynamic application, directly return and carry out service resources coupling and priority scheduling of resource.
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| CN102708448B (en) * | 2012-04-30 | 2015-08-26 | 黄林果 | A kind of real time business Optimization Scheduling of information grid system |
| CN102665285B (en) * | 2012-05-02 | 2014-12-03 | 黄林果 | Optimal service scheduling method for trusted information grid system |
| CN102929904B (en) * | 2012-07-25 | 2016-06-22 | 北京世纪天宇科技发展有限公司 | A kind of method and system verifying raster data |
| CN103473630B (en) * | 2013-08-26 | 2016-09-07 | 黄东 | A kind of service resource management method in information grid system |
| CN104536761B (en) * | 2014-12-31 | 2017-12-15 | 华为技术有限公司 | A kind of method and device for assessing business module processing time |
| CN106656556A (en) * | 2016-10-21 | 2017-05-10 | 黄东 | Service processing architecture of information grid system |
| CN111399450A (en) * | 2020-03-13 | 2020-07-10 | 黄东 | Cloud manufacturing information platform |
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| CN1777181A (en) * | 2005-12-06 | 2006-05-24 | 南京邮电大学 | Access control decision-making device for grid computing environment |
| KR20090054532A (en) * | 2007-11-27 | 2009-06-01 | 인하대학교 산학협력단 | Grid data transmission control apparatus based on fuzzy logic and its method |
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| US6904420B2 (en) * | 2001-05-17 | 2005-06-07 | Honeywell International Inc. | Neuro/fuzzy hybrid approach to clustering data |
| EP2140660A1 (en) * | 2007-04-04 | 2010-01-06 | BAE Systems PLC | Improvements relating to distributed computing |
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| CN1777181A (en) * | 2005-12-06 | 2006-05-24 | 南京邮电大学 | Access control decision-making device for grid computing environment |
| KR20090054532A (en) * | 2007-11-27 | 2009-06-01 | 인하대학교 산학협력단 | Grid data transmission control apparatus based on fuzzy logic and its method |
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