Blutopia: Stackable storage for cluster management
Oliveira, F.
Guardiola, G.
Patel, J.A.
Hensbergen, E.V.
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ;
This paper appears in: Cluster Computing, 2007 IEEE International Conference on
Publication Date: 17-20 Sept. 2007
On page(s): 293-302
Location: Austin, TX,
ISSN: 1552-5244
ISBN: 978-1-4244-1387-4
INSPEC Accession Number: 10221261
Digital Object Identifier: 10.1109/CLUSTR.2007.4629243
Current Version Published: 2008-09-19
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.
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