Research Of Credible Of Flexible Self-service Collaboration And Self-maintenance Mechanism

Services Computing (SOC) and service architecture (SOA) of the rise and development, to promote collaboration by enabling services to build virtual organizations (Vos, Virtual Organizations), as innovation in Internet computing environment, the mainstream application software system way. However, the current service collaboration technology faces serious limitations:lack of autonomy, so the VOs lack of self-organization and self-maintenance capacity, resulting in service-based collaborative VOs difficult to adapt to the complex, dynamic change, not predict the Internet computing environment, and respond to dynamic appeared and rapidly changing application requirements. This paper studies service contract to perform context-driven synergies and VO flexible self maintenance. First of all, through the development of two-tier contract and its supporting facilities, to eliminate the VO from the maintenance of the face of "trust" obstacles, and overcome the dynamic synergy of the Agents in situations difficult to obtain a complete evaluation based on observation and the plight of the lack of context. Then, the gradual deepening of the development method of the nested to digestion abnormal situation should realize synergies and and self-maintenance of the complexity of the VO. Development of a variety of self-maintenance technology support, including collaborative situation (contract to perform context) model, context-driven joint contract compliance mechanisms and context detection system, abnormal VO context-driven model of self-maintenance, since the maintenance phase of the process of division, and through the gradual deepening of the nested approach to integration, to achieve and enhance the flexibility of self-maintenance:for wide, scalable and robustness. Through this kind of research can overcome the status of serious deficiencies (lack of systematic use of the value of outcomes), and thus to promote collaborative VOs based on the use of services and large-scale deployment, has important theoretical significance and application value.