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Design And Implementation Of A User-Oriented Multi-Objective Cloud Resource Matching System

Posted on:2020-08-11Degree:MasterType:Thesis
Country:ChinaCandidate:L X WangFull Text:PDF
GTID:2428330578970825Subject:Engineering
Abstract/Summary:PDF Full Text Request
As a widely used new business computing model,cloud computing is changing the way of information transmission and service.Under the cloud environment of dynamic sharing,cloud users are provided with reliable service resources by means of on-demand billing.As the core of cloud computing,the performance of resource matching scheduling will directly affect the interaction experience of users and resource providers and affect the development of cloud computing.Therefore,under the background of the Internet business model,how to match less and better resources to users and realize multi-objective requirements such as high timeliness,low cost and high reliability is the key to study cloud computing and the focus of this paper.Because resource suppliers and different cloud users have different demands,the preference of users' target resource demands is also different.In order to balance the target demand and reduce the waste of resources,this paper proposes a user-oriented multi–objective cloud resource matching strategy,and designs and implements the system.The main work is as follows :(1)The tree structure table of resource collection and discovery is proposed.Before resource matching,resource collection is carried out through the establishment of tree management table,and the user resource query process is transformed into the search of tree graph node information,so as to reduce the search time and cost increase caused by the large amount of resource reading.(2)Establish a user-oriented high-quality resource matching model.Establish resource pool for resource discovery and narrow the scope of candidate resources;Resource matching algorithm is proposed to minimize the task execution time,which takes the data sequence submitted by the user as the reference item of the system behavior characteristics and makes a gray correlation analysis of the discovered resources.The matching algorithm can obtain the resources closest to the target demand,reduce the resource waste and reduce the calculation cost.(3)Design and implement specific functions of the multi-objective cloud resource matching system oriented to user requirements.In the context of massive resources in the cloud environment,it provides users with a feasible matching scheduling scheme to meet their service quality requirements and obtain high-quality resources,and realizes the operation mode of reasonable delivery between cloud service providers and users.
Keywords/Search Tags:multi-objective requirements, grey correlation degree, AMT-Tree, resource matching
PDF Full Text Request
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