Distributed Scheduling Policy in Service Oriented Environments

Abstract

Service oriented architectures become more and more popular with the emergence and consolidation of new paradigms such as Clouds and Grids. In this context scheduling becomes an important and difficult problem as services hide their actual implementation, requirements or efficiency and are spread across multiple institutions and geographical locations. This paper proposes a distributed scheduling approach based on agents where each agent handles a certain domain and manages independently the policies inside it. In its frame several scheduling algorithms are also studied, compared and some results are given.