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Too big NOT to fail

Published: 24 May 2017 Publication History

Abstract

Embrace failure so it does not embrace you.

References

[1]
Chaiken, R., Jenkins, R., Larson, P-A., Ramsey, B., Shakib, D., Weaver, S., Zhou, J. SCOPE: Easy and efficient parallel processing of massive data sets. In Proceedings of ACM VLDB, 2008; http://www.vldb.org/pvldb/1/1454166.pdf
[2]
Ghemawat, S., Gobioff, H. and Leung, S.-T. The Google file system. In Proceedings of the 19th ACM Symposium on Operating Systems Principles, 2003, 29--43.
[3]
Shvachko, H., Kuang, H., Radia, S., Chansler, R. Hadoop Distributed File System. In Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies, 2010, 1--10.

Cited By

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  • (2019)An empirical study on predicting cloud incidentsInternational Journal of Information Management10.1016/j.ijinfomgt.2019.01.01447(131-139)Online publication date: Aug-2019

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 60, Issue 6
June 2017
93 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3098997
  • Editor:
  • Moshe Y. Vardi
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 May 2017
Published in CACM Volume 60, Issue 6

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  • (2019)An empirical study on predicting cloud incidentsInternational Journal of Information Management10.1016/j.ijinfomgt.2019.01.01447(131-139)Online publication date: Aug-2019

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