Cloud object storage based Continuous Data Protection(cCDP)

Nagapramod Mandagere, Ramani Routray, Yang Song, David Du

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Continuous Data Protection (CDP) enables recoverability to any point in time (time travel) facilitated via journaling of every write made by a system to disk. Stringent storage performance and capacity requirements for journaling make CDP a very high cost solution leading to limited adoption. In this work we first explore the feasibility of building such a CDP function on top of cheap commodity storage exposed via cloud object stores. Based on this analysis, we propose cCDP-a Cloud Continuous Data Protection framework that efficiently combines cloud object stores with edge caching to address requirements of low cost, high capacity, low latency and high storage throughput. cCDP with careful tuning can not only meet but surpasses the write throughput and latency requirements of CDP with minimal buffer overheads (< 1%). Recovery lookup performance (Identification & Ordering) of cCDP with hybrid data layout is within 28% of Btree based temporal data layout and is about 52.7% better than the naive data layout with name encoding with significantly lower edge buffer and write throughput overheads than the Btree based temporal data layout.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 IEEE International Conference on Networking, Architecture and Storage, NAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-254
Number of pages11
ISBN (Electronic)9781467378918
DOIs
StatePublished - Sep 10 2015
Event10th IEEE International Conference on Networking, Architecture and Storage, NAS 2015 - Boston, United States
Duration: Aug 6 2015Aug 7 2015

Publication series

NameProceedings of the 2015 IEEE International Conference on Networking, Architecture and Storage, NAS 2015

Other

Other10th IEEE International Conference on Networking, Architecture and Storage, NAS 2015
Country/TerritoryUnited States
CityBoston
Period8/6/158/7/15

Keywords

  • Concurrent computing
  • Engines
  • File servers
  • Layout
  • Lead
  • Metadata
  • Servers

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