Retrieval of average sum of plans and degree coefficient between genes in distributed Query Processing
Distributed query is one that selects data from databases located at multiple sites in a network and distributed processing performs computations on multiple CPUs to achieve a single result. Query processing is much more difficult in distributed environment than in centralized environment because a large number of parameters affect the performance of distributed queries. The goal of distributed query processing is to execute queries to minimize the response time and to minimize the total communication costs associated with a query. In addition, when redundant data is maintained, one also achieves increased data reliability and improved response time. In this paper, the multi attribute based mechanism is proposed to meet the demand and the result is compared with some commonly used query optimization algorithms.
Keywords: Query optimization, Plan, Genetic algorithm, Gene, multicast optimization
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