A Method for Distributing Scheduling Heuristics Inside Service Oriented Environments Using a Nature-Inspired Approach

As Distributed Systems begin to rely more and more on Service Oriented Architectures there is an increasingly need to store information remotely and to access to it by means of services. In this frame scheduling heuristics play an important role as they help reduce task execution costs. We propose a model that follows a nature inspired paradigm to represent the scheduling heuristics itself. Services are used to access remotely available data required by the algorithm. Furthermore a model to share the schedule data among multiple distributed scheduling algorithms that run in parallel is devised.