A Service-Oriented Model for Autonomic Computing Elements Based upon Queuing Theory

In order to inspect the internal and external environment of software efficiently, more and more autonomic computing elements (AEs) are deployed in the autonomic computing architecture software, autonomic software for shorted, which usually causes a great resources waste. Based upon the queuing theory, this paper proposes a new model to process the software internal and external information, which aims at balancing the quantity of the AE and the cost resulted by running this software. The simulated results produced by the designed experiment show that this model has an outstanding capability of rationally assigning the number of AE according to the current internal and external environment of software. Moreover, the efficiency of the algorithm related to proposed model is quite high.