Remote Sensing Service chain Self-Evolution Method

In order to facilitate continuous and quick adaptation to the change of environment and use requirement, this paper presents a self-evolution method for the remote sensing information service chain to keep effective and robust of service chain with lesser modification, and to maximize all users’ utilization under concurrent user requirements. According to the driver forces of service chain change, we partition self-evolution method into three levels: (1) a fuzzy semantic based relatedness analysis and min-conflict heuristic based service chain reconfigure methods to adapt to user requirement change; (2) a sensitivity analysis and robust optimization based method to keep maximum stability of service chain in dynamic environment; (3) a non-cooperative game approach for multi-service chain cooperation optimization under concurrent tasks concurrent condition.