Service oriented resource configuration estimation and optimization in Cloud Computing— An artificial enterprise method

At present service oriented resource configuration analysis and optimization research only takes computing resources into account. It fails to meet the requirement that enterprise run optimally in cloud manufacturing and SOE. This paper analyzes the relation between enterprise services and computing/manufacturing resources. Then the artificial enterprise model is built. Then various resource configuration schemes are loaded in it and the computational experiments are done to run these schemes. By comparing the experiment results the optimal scheme is obtained for the enterprise. Thus the demand of the enterprise is satisfied.