DocumentCode
2888280
Title
Blutopia: Stackable storage for cluster management
Author
Oliveira, Fábio ; Guardiola, Gorka ; Patel, Jay A. ; Hensbergen, Eric V.
Author_Institution
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ
fYear
2007
fDate
17-20 Sept. 2007
Firstpage
293
Lastpage
302
Abstract
The complexity of todaypsilas computer systems poses a challenge to system administrators. Current systems comprise a multitude of inter-related software components running on different servers. In this paper, we propose the use of the stackable storage mechanism as the foundation of centralized systems management. At the management level, we show how this mechanism can be used to implement an infrastructure that allows administrators to perform typical tasks fast and effortlessly. In particular, we find that our prototype could have avoided 40% of the human mistakes observed experimentally by previous research. At the storage level, we identify three key characteristics of stackable storage that allow the definition of different policies with distinct performance and scalability behaviors. We quantitatively compare five storage policies under different workloads and conclude that stackable storage is a viable approach.
Keywords
data analysis; pattern clustering; storage management; Blutopia; centralized systems management; cluster management; inter-related software components; stackable storage; Application software; Computer network management; Computer science; Hardware; Humans; Image storage; Risk management; Security; Web and internet services; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing, 2007 IEEE International Conference on
Conference_Location
Austin, TX
ISSN
1552-5244
Print_ISBN
978-1-4244-1387-4
Electronic_ISBN
1552-5244
Type
conf
DOI
10.1109/CLUSTR.2007.4629243
Filename
4629243
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