NDLI: Analyzing reconfigurable algorithms for managing replicated data with strict consistency requirements: a case study

Content Provider	IEEE Xplore Digital Library
Author	Ding-Chau Wang Ing-Ray Chen Chih-Ping Chu
Copyright Year	2000
Description	Author affiliation: CSIE Dept., Nat. Cheng Kung Univ., Tainan, Taiwan (Ding-Chau Wang)
Abstract	We address reconfigurable algorithms for managing replicated data with strict consistency requirements, that is, whenever the user performs an update operation, the update is applied to all reachable copies as part of the update protocol. A key issue of designing such algorithms is to determine how often one should detect and react to failure conditions so that reorganization operations can be performed at the appropriate time to improve the availability of replicated data. We use dynamic voting as a case study to illustrate how often such failure detection and reconfiguration activities should be performed so as to maximize the data availability. We show that there exists an optimal period at which the failure detection and reconfiguration activities should be performed to optimize the system availability. Stochastic Petri nets (SPNs) are used as a tool to facilitate our analysis.
Starting Page	608
Ending Page	613
File Size	650488
Page Count	6
File Format	PDF
ISBN	0769507921
ISSN	07303157
DOI	10.1109/CMPSAC.2000.884787
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-25
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Availability Voting Protocols Petri nets Change detection algorithms Clustering algorithms Performance analysis Computer science Stochastic processes
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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