DocumentCode
1974703
Title
Modeling and Analysis of Multi-version Concurrent Control
Author
Chao Luo ; Okamura, Hiroyuki ; Dohi, Tadashi
Author_Institution
Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
fYear
2013
fDate
22-26 July 2013
Firstpage
53
Lastpage
58
Abstract
A multi-version concurrent control (MVCC) is widely spread as an important scheme to ensure the data integrity even in on-line storage services such as Dropbox as well as database management system. The scheme of MVCC is to make a snapshot of the current data before access to the data, and to compare the snapshot with the original data just before the update is committed. This discipline is called first-committer-wins rule (FCWR). This paper focuses on the performance evaluation of MVCC based on a stochastic model. According to queueing analysis, we derive quantitative performance measures from the model analytically. Further, we reveal the effectiveness of MVCC by comparing with the serializable policy.
Keywords
approximation theory; concurrency control; data integrity; queueing theory; Dropbox; FCWR; MVCC performance evaluation; MVCC scheme; data integrity; database management system; first-committer-wins rule; multiversion concurrent control; online storage services; quantitative performance measures; queueing analysis; serializable policy; stochastic model; Analytical models; Approximation methods; Concurrency control; Database systems; Servers; Software; Throughput; multi-version concurrent control; parallel development; performance evaluation; queueing model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference (COMPSAC), 2013 IEEE 37th Annual
Conference_Location
Kyoto
Type
conf
DOI
10.1109/COMPSAC.2013.11
Filename
6649798
Link To Document