How Heterogeneity Affects the Design of Hadoop MapReduce Schedulers: A State-of-the-Art Survey and Challenges-Reference-Cited by-同舟云学术

How Heterogeneity Affects the Design of Hadoop MapReduce Schedulers: A State-of-the-Art Survey and Challenges

Published:2018-06 Issue:2 Volume:6 Page:72-95
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Pandey Vaibhav¹,Saini Poonam¹

Affiliation:

1. Department of Computer Science & Engineering, Punjab Engineering College, Chandigarh, India.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2018.0013

Reference73 articles.

1. Pregel

2. ZahariaM, ChowdhuryM, DasT, DaveA. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. NSDI. San Jose, CA, 2012.

3. MapReduce Parallel Programming Model: A State-of-the-Art Survey

4. The Hadoop Distributed File System

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