The availability of powerful microprocessors and high-speed networks as commodity components has enabled high-performance computing on distributedsystems (wide-area cluster computing). In this environment, as the res...
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This paper presents our hybrid architectural model for distributed data mining (DDM), which is tailored to meet the needs of e-businesses in which application service providers sell DDM services to e-commerce users an...
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This paper presents our hybrid architectural model for distributed data mining (DDM), which is tailored to meet the needs of e-businesses in which application service providers sell DDM services to e-commerce users and systems. The hybrid architecture integrates the client-server and the mobile agent technologies. This model focuses on the optimisation and costing issues of DDM, which are particularly relevant in the context of billing users for data mining services.
The availability of powerful microprocessors and high-speed networks as commodity components has enabled high-performance computing on distributedsystems (wide-area cluster computing). In this environment, as the res...
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The availability of powerful microprocessors and high-speed networks as commodity components has enabled high-performance computing on distributedsystems (wide-area cluster computing). In this environment, as the resources are usually distributed geographically at various levels (department, enterprise or worldwide), there is a great challenge in integrating, coordinating and presenting them as a single resource to the user, thus forming a computational grid. Another challenge comes from the distributed ownership of resources, with each resource having its own access policy, cost and mechanism. The proposed Nimrod/G grid-enabled resource management and scheduling system builds on our earlier work on Nimrod (D. Abramson et al., 1994, 1995, 1997, 2000) and follows a modular and component-based architecture enabling extensibility, portability, ease of development, and interoperability of independently developed components. It uses the GUSTO (GlobUS TOolkit) services and can be easily extended to operate with any other emerging grid middleware services. It focuses on the management and scheduling of computations over dynamic resources scattered geographically across the Internet at department, enterprise or global levels, with particular emphasis on developing scheduling schemes based on the concept of computational economy for a real testbed, namely the Globus testbed (GUSTO).
We present an algebra for programming the itineraries of mobile agents. The algebra contains operators for modelling sequential, parallel, nondeterministic, and conditional mobility behaviour. Iterative behaviour is a...
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