Ivan Lirkov

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Recently, we can observe an increasing interest in utilization of software agents in computational Grids. In our work agent teams play role of Grid resource brokers and managers. Previously we have discussed how to efficiently implement matchmaking services, as well as proposed a way by which agents select a team that will execute their job. In this paper(More)
Recently we have proposed an approach to utilizing agent teams as resource brokers and managers in the Grid. Thus far we have discussed the general overview of the proposed system, how to efficiently implement matchmaking services, as well as proposed a way by which agents select a team that will execute their job. In this paper we focus our attention on(More)
Recently it was suggested that (mobile) software agents can provide an infrastructure for resource brokering and management in Grids. In this paper we introduce a novel approach based on agent teams. Since the yellow pages-based approach was selected to facilitate resource discovery, we summarize results of our experiments to find an efficient ways of(More)
One of the important claims that permeate current view of information management is that ontological demarcation of data and semantic information processing are going to allow to infuse " intelligence " into information systems. Separately, it is claimed that software agents, combined with ontologies will be the foundation of Web 4.0. In our work we are(More)
It has been suggested that utilization of autonomous software agents in computational Grids may deliver the needed functionality to speed-up Grid adoption. I our recent work we have outlined an approach in which agent teams facilitate Grid resource brokering and management. One of the interesting questions is how to manage trust in such a system. The aim of(More)