Service composition middleware for pervasive computing

Abstract

The advent of pervasive computing has thrown various challenges in resource management and optimization. Services offered by the various platforms need to be composed together dynamically to offer the best outcomes to the user. Service composition in pervasive environments enables the users to utilize diverse services in the environment from heterogeneous service providers to solve complex queries. We present here a survey that classify the existing service composition model for pervasive environments in terms of interoperability, discoverability, adaptability, context awareness, QoS management, security, spontaneous management, and autonomous management. In this work, a dynamic parallel service composition based on community networks is introduced exhibiting the properties of quality of service, spontaneous management and contingency management. The middleware provides a model for real time service monitoring and adaptation. The prototype work is described along with a discussion of the results.