On Resource Clustering Techniques for Grid Resource Discovery
作者： I.K. Savvas , G. Kakarontzas
关键词: Grid computing 、 Distributed computing 、 Grid 、 Semantic grid 、 Business process discovery 、 Computer science 、 DRMAA 、 Cluster analysis 、 Database 、 Scheduling (computing) 、 Fair-share scheduling
摘要: Grids offer the potential of harnessing vast amounts computational resources during execution demanding computations. These are geographically distributed, owned by different organizations and highly heterogeneous. All these create an uncertain environment in all phases a Grid Scheduling Process (GSP). In this work, we focus on resource discovery process which clients grid discover possibly suitable available for their computation. We propose network representatives, maintain more- or-less static characteristics workers they represent (e.g. OS, CPU type etc.). show that clustering algorithms is promising approach can be used efficient given task set.
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