ACHIEVING QUERY OPTIMIZATION OF ENHANCED PARALLEL PROCESSING IN CLOUD

T.Sneha; E.Karthiyayeni; P.Sailaja

Article Information

Published In Volume 2, Issue 3 (2016)
Publication Date July 28, 2026
Manuscript ID IJCRCST-MARCH16-24
Article Type Research Paper
Pages 574 - 576
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Abstract

Transfer speed effective execution of online enormous information examination in telecom systems requests for customized arrangements. Existing gushing investigation frameworks are intended to work in extensive server farms, accepting boundless transmission capacity between server farm hubs. Applying these arrangements unmodified to disperse telecom mists, neglects the way that accessible transfer speed is a rare and expensive asset making the telecom system significant to end-clients. This article presents Continuous Hive ,a gushing investigation stage custom-made for appropriated telecom mists. The principal commitment of CHive is that it streamlines inquiry arrangements to minimize their general data transfer capacity utilization when sent in a circulated telecom cloud. Moreover, these enhanced inquiry arranges have a high level of parallelism implicit, profiting rate of execution. Early examinations on information from an extensive portable administrator demonstrate that CHive can yield data transmission.

Keywords

Query Optimization Parallel Processing Cloud Computing Distributed Computing Performance Optimization

Authors

T.Sneha

E.Karthiyayeni

P.Sailaja

How to Cite this Article

T.Sneha, E.Karthiyayeni, P.Sailaja (2016). "ACHIEVING QUERY OPTIMIZATION OF ENHANCED PARALLEL PROCESSING IN CLOUD". International Journal of Contemporary Research in Computer Science and Technology, 2(3), pp. 574-576.