TY - GEN
T1 - Intermittent snapshot method for data synchronization to cloud storage
AU - Yagawa, Yuichi
AU - Hayasaka, Mitsuo
AU - Maki, Nobuhiro
AU - Tezuka, Shin
AU - Murata, Tomohiro
N1 - Funding Information:
We thank Mr. Yoshiyuki Fujita and Mr. Tatsuya Matsumoto of Hitachi Ltd., IT Services Division for their support during the experiments.
Publisher Copyright:
© 2018 Newswood Limited. All rights reserved.
PY - 2018
Y1 - 2018
N2 - We developed a configuration to place a cash storage called Cloud on-Ramp (CoR) with small capacity between client terminals at remote offices and a cloud storage connected by a wide area network. A CoR is placed in each remote office, and applications access them via a local area network, guaranteeing access performance. A CoR synchronizes the data with the cloud storage by copying updated data from the client terminal at regular intervals. It is necessary that a window to carry out the bulk-copy function be shortened and repeated many times to keep the latest data in the cloud storage. A method of maintaining consistency of data at a CoR is necessary, even if the data are updated in the copy by the client terminal. Therefore, we propose the "intermittent snapshot method", with which a snapshot is taken during bulk-copy execution and released as soon as the bulk copy is over. We evaluated the proposed method from the perspective of an implementation design. We formalized the method by using a stochastic Petri-net model and considered the proper size of the bulk-copy window that optimizes both the synchronization delay and application-access performance through simulation.
AB - We developed a configuration to place a cash storage called Cloud on-Ramp (CoR) with small capacity between client terminals at remote offices and a cloud storage connected by a wide area network. A CoR is placed in each remote office, and applications access them via a local area network, guaranteeing access performance. A CoR synchronizes the data with the cloud storage by copying updated data from the client terminal at regular intervals. It is necessary that a window to carry out the bulk-copy function be shortened and repeated many times to keep the latest data in the cloud storage. A method of maintaining consistency of data at a CoR is necessary, even if the data are updated in the copy by the client terminal. Therefore, we propose the "intermittent snapshot method", with which a snapshot is taken during bulk-copy execution and released as soon as the bulk copy is over. We evaluated the proposed method from the perspective of an implementation design. We formalized the method by using a stochastic Petri-net model and considered the proper size of the bulk-copy window that optimizes both the synchronization delay and application-access performance through simulation.
KW - Cloud Storage
KW - Cloud on-Ramp (CoR)
KW - Data Synchronization
KW - Intermittent Snapshot
KW - Stochastic Petri-net
UR - http://www.scopus.com/inward/record.url?scp=85058715197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058715197&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85058715197
T3 - Lecture Notes in Engineering and Computer Science
SP - 237
EP - 242
BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018
A2 - Feng, David Dagan
A2 - Douglas, Craig
A2 - Ao, S. I.
A2 - Korsunsky, Korsunsky
A2 - Castillo, Oscar
PB - Newswood Limited
T2 - 2018 International MultiConference of Engineers and Computer Scientists, IMECS 2018
Y2 - 14 March 2018 through 16 March 2018
ER -