Research On Process Driven Migration And Deployment Of Service Component

Pervasive Computing is changing people's lifestyle. Computation would be everywhere. The ultimate goal of such computing model is to integrate the information space made up of communication and computers with the physical space where people live and work. People could get information services transparently at anytime and anywhere in accordance with their personalized requirements. Especially, service-oriented makes seamless integration possible under pervasive environment. In the meantime,we find that process is everywhere in practical Pervasive Computing applications and single service couldn't satisfy the task objective of users. In this article we called that under the universal environment for process management applications as smart pervasive process application, and it will certainly become a major information technology needs of the community in the future. In the application of smart pervasive process application, the migration and deployment of services is the crucial technology. It is also the common support technology of many kinds of network applications in the future.This article is focus on the key technology of the smart pervasive process application, based on user goals and business processes, to achieve applications and service components dynamic and orderly migration and deployment, to ensure that scheduling service migration rationally and effectively without user's awareness application components to deploy computing components in limited computing resource and to provide users with unlimited service. The main achievements of this dissertation include:1. Combined with scenarios sensing technology and process applications, a new model of migration and deployment based on context-awareness of process is presented. It's named PCBMDM. According to the model, we proposed implementations and algorithms of several key parts.2. In order to organize and manage components better, we put the modeling relationship between the components in universal space into first and it provide the basis for the migration structure. And then a process-driven migration of service components algorithm and implementations is introduced.3. With regard to dynamic deployment of components for the service, the dissertation builds models of domain object-relational with ontology technology. According to process context information, it make an intelligent inference from equipments or components that may be used and match them. Through the relation of the Markov model and process model, the paper predicts development of the process that determines the appropriate deployment of the structure of service components and enhances the intelligence of the model.Based on the applications in virtual environments, we verify the efficiency of the proposed model and algorithm by building a component-based application prototype system in a network environment. We demonstrate that these model and algorithm can be used as fundamental supporting technologies for smart pervasive process application. The results in this paper also lay a certain foundation for the future development of pervasive computing.