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Resource location or discovery is a key issue for Grid systems in which applications are composed of hardware and software resources that need to be located. Classical approaches to Grid resource location are either centralized or hierarchical and will prove inefficient as the scale of Grid systems rapidly increases. On the other hand, the Peer-to-Peer(More)
Resource management and scheduling of distributed, data-driven applications in a Grid environment are challenging problems. Although significant results were achieved in the past few years, the development and the proper deployment of generic, reliable, standard components present issues that still need to be completely solved. Interested domains include(More)
Resource discovery in a grid environment is a critical problem, as a typical grid system includes a very large number of resources, which must be readily identified and accessed to run applications. Traditional grid discovery algorithms perform poorly, as they do not scale, nor allow grid-enabled applications to transparently query the whole set of grid(More)
Efficient and robust system for accessing computational resources and managing job operations is a key component of any Grid framework designed to support large distributed computing environment. Computing Resource Execution and Management (CREAM) is a simple, minimal system designed to provide efficient processing of a large number of requests for(More)
—Opportunistic networking is one of the key paradigms to support direct communication between devices in a mobile scenario. In this context, the high volatility and dynamicity of information and the fact that mobile nodes have to make decisions in condition of partial or incomplete knowledge, makes the development of effective and efficient data(More)
—In this paper we investigate the properties of a cognitive heuristics based approach, by way of which the mobile devices of users can become aware of the physical environment surrounding them. Cognitive heuristics are the mental models used in cognitive psychology to describe how human brains efficiently process the huge amount of information constantly(More)
The convergence of the Grid and Peer-to-Peer (P2P) worlds has led to many solutions that try to efficiently solve the problem of resource discovery on Grids. Some of these solutions are extensions of P2P DHT-based networks. We believe that these systems are not flexible enough in case the indexed data are very dynamic, i.e., the values of the resource(More)
Resource discovery is a key issue for Grid systems in which applications are composed of hardware and software resources that need to be located. Classical approaches to Grid resource discovery are either centralized or hierarchical and will prove inefficient as the scale of Grid systems rapidly increases. On the other hand, the Peer-to-Peer (P2P) paradigm(More)