A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters-Reference-Cited by-同舟云学术

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A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters

Published:2020-06-01 Issue:3 Volume:8 Page:218-234
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Bellamkonda Sathyanarayanan Vidhyasagar¹,Jeevarathinam Raja Paul Perinbam²,Marudhamuthu Krishnamurthy³

Affiliation:

1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.

2. Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, India.

3. Department of Computer Science and Engineering, KCG College of Technology, Chennai, India.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2019.0111

Reference15 articles.

1. Big Data Computing with Distributed Computing Frameworks

2. 4. White T, Cutting D. Hadoop: The definitive guide. Gravenstein Highway North: O'Reilly Media, Inc., 2009.

3. An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks

4. Optimal Task Assignment in Mobile Cloud Computing by Queue Based Ant-Bee Algorithm

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