A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data-Reference-Cited by-同舟云学术

A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data

Published:2016 Issue: Volume: Page:5-19
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Cavallo Marco,Cusmà Lorenzo,Di Modica Giuseppe,Polito Carmelo,Tomarchio Orazio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-33313-7_1

Reference15 articles.

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3. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. In: Proceeding of the 6th Conference on Symposium on Operating Systems Design and Implementation (OSDI 2004). USENIX Association (2004)

4. Heintz, B., Chandra, A., Sitaraman, R., Weissman, J.: End-to-end optimization for geo-distributed mapreduce. IEEE Trans. Cloud Comput. PP(99), 1–14 (2014)

5. Jayalath, C., Stephen, J., Eugster, P.: From the cloud to the atmosphere: running mapreduce across data centers. IEEE Trans. Comput. 63(1), 74–87 (2014)

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