TY - GEN
T1 - Performance optimization of heterogeneous cloud storage with bandwidth & capacity considerations
AU - Huang, Po Chun
AU - Chang, Yuan Hao
AU - Chen, Tseng Yi
AU - Tu, Chia Heng
AU - Chen, Chun
AU - Wei, Hsin Wen
AU - Shih, Wei Kuan
N1 - Publisher Copyright:
© 2018 Authors.
PY - 2018/4/9
Y1 - 2018/4/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85050555378&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050555378&partnerID=8YFLogxK
U2 - 10.1145/3167132.3167373
DO - 10.1145/3167132.3167373
M3 - Conference contribution
AN - SCOPUS:85050555378
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 210
EP - 213
BT - Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018
PB - Association for Computing Machinery
T2 - 33rd Annual ACM Symposium on Applied Computing, SAC 2018
Y2 - 9 April 2018 through 13 April 2018
ER -