Adaptive Distributed Applications in Java (ADAJ ) is a platform developed for execution of distributed applications in Java. The objectives of this platform is to facilitate application design and to efficiently use the power of distributed computing. The ADAJ offers both a programming and an execution environment. In the latter it implements object observation and load balancing mechanisms. The observation mechanism allows estimating of the JVM load for each node running the ADAJ client. The load balancing mechanism dynamically adapts the workload across the system according to this information. Here we discuss how the original design based on JavaParty is going to be superseded by utilization of software agents.

Keywords: Software agents, Grid, resource brokering and management, ontology, semantic information processing.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 developing an agent-team-based resource management and brokering infrastructure for computational Grids. The proposed meta-level middleware is to utilize both software agents and ontologies. In this context, the aim of this chapter is twofold. First, we present an overview of found efforts to develop ontologies to be used in Grid and agent-Grid computing. Second, we analyze which one of them, if any, should be the base ontology for the system under development. References 1 AbstractOne 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 developing an agent-team-based resource management and brokering infrastructure for computational Grids. The proposed meta-level middleware is to utilize both software agents and ontologies. In this context, the aim of this chapter is twofold. First, we present an overview of found efforts to develop ontologies to be used in Grid and agent-Grid computing. Second, we analyze which one of them, if any, should be the base ontology for the system under development.

No abstract

14 pagesInternational audienceResource management and job scheduling are important research issues in computational grids. When software agents are used as resource managers and brokers in the Grid a number of additional issues and possible approaches materialize. The aim of this chapter is twofold. First, we discuss traditional job scheduling in grids, and when agents are utilized as grid middleware. Second, we use this as a context for discussion of how job scheduling can be done in the agent-based system under development