A bloat-aware design for big data applications-Reference-Cited by-同舟云学术

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A bloat-aware design for big data applications

Published:2013-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2013 international symposium on memory management
language:
Short-container-title:

Author:

Bu Yingyi¹,Borkar Vinayak¹,Xu Guoqing¹,Carey Michael J.¹

Affiliation:

1. University of California, Irvine, Irvine, California, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2464157.2466485

Reference48 articles.

1. Algebricks. https://code.google.com/p/hyracks/source/browse/#git%2Ffullstack%2Falgebricks. Algebricks. https://code.google.com/p/hyracks/source/browse/#git%2Ffullstack%2Falgebricks.

2. AsterixDB. https://code.google.com/p/asterixdb/wiki/AsterixAlphaRelease. AsterixDB. https://code.google.com/p/asterixdb/wiki/AsterixAlphaRelease.

3. Hivesterix. http://hyracks.org/projects/hivesterix/. Hivesterix. http://hyracks.org/projects/hivesterix/.

4. Hyracks: A data parallel platform. http://code.google.com/p/hyracks/. Hyracks: A data parallel platform. http://code.google.com/p/hyracks/.

5. Pregelix. http://hyracks.org/projects/pregelix/. Pregelix. http://hyracks.org/projects/pregelix/.

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1. Lesser Evil: Embracing Failure to Protect Overall System Availability;Distributed Applications and Interoperable Systems;2022

2. Skyway;ACM SIGPLAN Notices;2018-11-30

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