This paper deals with the use of parallelprocessing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the solutions can change over time. These dynami...
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Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and qualitative problem. In PSO algorithm, the ...
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Replication combined with explicit management of data integrity constraints can be used to enhance availability of object-oriented, data-centric distributed systems when node and link failures occur. Our approach enha...
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Wireless sensor networks are small, inexpensive and flexible computational platforms, that have found popular applications in various areas including environmental monitoring, health care and disaster recovery. One fu...
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Recently, many parallel computing models using dynamically reconfigurable electrical buses have been proposed in the literature. The underlying characteristics are similar among these models, but they do have certain ...
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The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently there are no solutions that fully fulf...
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We investigate the design and implementation of a parallel workflow environment targeted towards the financial industry. The system performs real-time correlation analysis and clustering to identify trends within stre...
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We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results may need to be stored to enable future a...
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We consider the problem of query optimization in distributed data stream systems where multiple continuous queries may be executing simultaneously. In order to achieve the best performance, query planning (such as joi...
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