An efficient query optimization technique in big data using σ-ANFIS load balancer and CaM-BW optimizer

IF 2.5 3区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Journal of Supercomputing Pub Date : 2021-04-19 DOI:10.1007/S11227-021-03793-6

D. Kumar, V. Jha

引用次数: 2

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基于σ-ANFIS负载均衡器和CaM-BW优化器的大数据查询优化技术

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Supercomputing 工程技术-工程：电子与电气

CiteScore

6.30

自引率

12.10%

发文量

734

审稿时长

13 months

期刊介绍： The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of Supercomputing. Tutorial and survey papers are intended for workers and students in the fields associated with and employing advanced computer systems. The journal also publishes letters to the editor, especially in areas relating to policy, succinct statements of paradoxes, intuitively puzzling results, partial results and real needs. Published theoretical and practical papers are advanced, in-depth treatments describing new developments and new ideas. Each includes an introduction summarizing prior, directly pertinent work that is useful for the reader to understand, in order to appreciate the advances being described.