Big data availability: Selective partial checkpointing for in-memory database queries

Fault tolerance is an important challenge for supporting critical big data analytic operations. Most existing solutions only provide fault tolerant data replication, requiring failed queries to be restarted. This approach is insufficient for long-running time-sensitive analytic queries, due to lost...

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Bibliographic Details

Main Authors:	Daniel Playfair, Amitabh Trehan, Barry McLarnon, Dimitrios S. Nikolopoulos
Format:	Default Conference proceeding
Published:	2017
Subjects:	Other information and computing sciences not elsewhere classified Availability Checkpointing Database systems Query processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/27921
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