Pattern-directed replication scheme for heterogeneous object-based storage

Jiang Zhou, Wei Xie, Dong Dai, Yong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Data replication is a key technique to achievedata availability, reliability, and optimized performance indistributed storage systems and data centers. In recent years, with the emergence of new storage devices, heterogeneousobject-based storage system, such as a storage system withthe co-existence of hard disk drives and solid state drives, have become increasingly attractive as they combine merits ofdifferent storage devices to deliver better promise. However, existing data replication schemes do not place data basedon heterogeneous device characteristics as well as consideringdistinct data access patterns. In this paper, we introduce anovel data replication scheme PRS to achieve efficient datareplication for heterogeneous storage systems. Different fromtraditional schemes, the PRS groups objects according todata access patterns and distributes replicas to heterogeneousdevices with their features. It uses a pseudo random algorithmto optimize replica layout by considering storage device performanceand capacity. The experimental results confirm thatPRS is a highly efficient replication scheme for heterogeneousstorage systems.

Original languageEnglish
Title of host publicationProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages645-648
Number of pages4
ISBN (Electronic)9781509066100
DOIs
StatePublished - Jul 10 2017
Event17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 - Madrid, Spain
Duration: May 14 2017May 17 2017

Publication series

NameProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017

Conference

Conference17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
Country/TerritorySpain
CityMadrid
Period05/14/1705/17/17

Keywords

  • Access pattern
  • Data distribution
  • Data replication
  • Heterogeneous storage
  • Objectbased storage

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