Experiences with workload management in splunk

Authors:
Ledion Bitincka;Archana Ganapathi;Steve Zhang
Affiliations:
Splunk Inc., San Francisco, USA;Splunk Inc., San Francisco, USA;Splunk Inc., San Francisco, USA
Venue:
Proceedings of the 2012 workshop on Management of big data systems
Year:
2012

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Abstract

Organizations are constantly overwhelmed with challenges of big data management resulting from data floods produced by various computer systems and components. Mining this data deluge can produce invaluable insights for the busi- ness and for operations. However, the organization must first tackle issues of effcient data storage and retrieval. In this paper, we describe unique qualitative characteristics of big data, challenges posed by big data workloads, and how Splunk both manages such workloads and facilitates customers' workload management problems.