Abstract
Oriented the amounts of the service requests on the user’s demand, it is possible to provide the service to the users with the lowest price, the most economical resource and the type of service closest to the users’ requests. In order to provide the different resources to the users effectively, the optimization model of the management about the cloud services resources is set up. In the first place, under the guidance of the resources management center, it is best to match the most suitable cloud service resources for the user needs with the grey relational comprehensive evaluation, then according to the time, the price, the data workflow and the service type attribute value. Optimal resource deployment algorithm is established with the target of the best cloud service resources offered to the users. Finally, it is verified the validity and rationality of the method by the simulation.
Highlights
With the rapid development of electronic technology and the Internet, there is a new innovative services based on the Internet environment - cloud computing [1]
The users’ requirements match the best cloud service resources by the method of the grey relational comprehensive evaluation, and the optimal the service is provided to the users that according to the required target function
The cloud service resource management center as a medium, we set up the optimal management model to configure the cloud service resources
Summary
With the rapid development of electronic technology and the Internet, there is a new innovative services based on the Internet environment - cloud computing [1] This new approach provides a convenient, on-demand business service model [2].In order to meet user's growing requirements on huge amounts of data and the service processing, this model of the new information resource service provides a broad prospects in application. The cloud service providers, according to their users’ requirements, schedule and optimize the cloud services resource distributed in different providers. The users’ requirements are matched to the cloud resources by the grey correlation theory, according to the four attributes about the time (T), the price (P), the data workflows(D) and the data service type value (Ts), we determine the optimal goal.
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