Scalable Intelligent Distributed Parallel Scheduling Model

While computing is becoming more inter-connected, intelligent and personalized, the following character will become more evident than ever: the integration of computing and communicating, the transformation of pc' s function to more none-pc devices, the emergence of grid computing.With the mature of XML technology, the computing resource on different platform can be exchanged more and more conveniently. It leads to more demands of seamless collaborating of different computing platform.The above requirements lead to the problem: how to implement a computing platform that is more adaptive and extensible.This paper tries to resolve this problem by redesigning the software architecture of distributing parallel schedule model to improve the system' s adaptability and extensibility.This paper is balanced as following. Firstly, this paper studies the characters of distributed parallel schedule that required by the trend of distributed parallel computing and criticizes the existing solution to these problems; secondly, this paper develops a extensible and adaptive distributing parallel schedule to resolve these problems; finally, this paper offers three key experiments to verify the rationality of the solution and then draws conclusion.