A Multi-agent Approach for Semantic Resource Allocation

Abstract

This paper presents a new approach of the Semantically Enhanced Resource Allocation (SERA) distributed as a multi-agent system. It presents a distributed resource allocation process which combines the benefits of semantic web for making easier the integration between multiple resource providers in the Cloud and agent technologies for coordinating and adapting the execution accross the different providers. The allocation process is based on the negotiation of different agents which allows the combination of customer and providers policies getting scheduling results which satisfies both parts. The SERA agents can be deployed in multiple locations improving the system scalability. The new approach makes the SERA suitable for working as a scheduler inside a Service Provider as well as a metascheduler integrating resources from different providers and platforms (clusters, grids, clouds,...).