Performance optimization of heterogeneous cloud storage with bandwidth & capacity considerations

Po Chun Huang, Yuan Hao Chang, Tseng Yi Chen, Chia Heng Tu, Chun Chen, Hsin Wen Wei, Wei Kuan Shih

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

Abstract

Due to the elasticity and convenience of usage, public cloud storage systems have played an important role in our daily life. People tend to have multiple cloud storages for keeping their data for professional and private use. This work addresses the data management problems by using a storage arbiter for fused heterogeneous cloud storage, such as the limited storage capacity and access bandwidth. Also, data management schemes in the storage arbiter for hot data identification to facilitate the data management tasks, such as data migration, are developed.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018
PublisherAssociation for Computing Machinery
Pages210-213
Number of pages4
ISBN (Electronic)9781450351911
DOIs
Publication statusPublished - 2018 Apr 9
Event33rd Annual ACM Symposium on Applied Computing, SAC 2018 - Pau, France
Duration: 2018 Apr 92018 Apr 13

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other33rd Annual ACM Symposium on Applied Computing, SAC 2018
CountryFrance
CityPau
Period18-04-0918-04-13

All Science Journal Classification (ASJC) codes

  • Software

Fingerprint Dive into the research topics of 'Performance optimization of heterogeneous cloud storage with bandwidth & capacity considerations'. Together they form a unique fingerprint.

Cite this