作者: Ye Huang , Nik Bessis , Amos Brocco , Pierre Kuonen , Michele Courant
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摘要: Much work is under way within the resource management community on issues associated with grid scheduling upon dynamically discovered information. In this paper we tackle problem by exploiting a bio-inspired discovery mechanism, where information provided ant-based lightweight mobile agents traveling across network and collecting data from each visited node. We start providing current state of adopted scheduler, which result an existing collaborative project named SmartGRID, its underlying architecture constructed agents. consider discovering resources in specific communities, are bounded due to different shared policies, such as diverse ant colonies, approaches, or other issues. Several have been raised during design implementation infrastructure. A notable issue, namely how schedulers various communities could be used manner would extend SmartGRID functionality identified. Our view that utilizing already stored nodes’s metadata snapshots first instance can facilitate more convenient efficient operation next time. With mind, our goes describing vision regard extended well discussing new conceptual basis model architecture.