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A Fault-Tolerant Middleware Architecture for High-Availability Storage Services
Salt Lake City, Utah, USA July 09-July 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2007.4IEEE International Conference on Serv ...
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Sangeetha Seshadri, Georgia Institute of Technology
Ling Liu, Georgia Institute of Technology
Brian F. Cooper, Georgia Institute of Technology
Lawrence Chiu, IBM Almaden Research Center
Karan Gupta, IBM Almaden Research Center
Paul Muench, IBM Almaden Research Center
Today organizations and business enterprises of all sizes need to deal with unprecedented amounts of digital information, creating challenging demands for mass storage and on-demand storage services. The current trend of clustered scale-out storage systems use symmetric active replication based clustering middleware to provide continuous availability and high throughput. Such architectures provide significant gains in terms of cost, scalability and performance of mass storage and storage services. However, a fundamental limitation of such an architecture is its vulnerability to application-induced massive dependent failures of the clustering middleware. In this paper, we propose hierarchical middleware architectures that improve availability and reliability in scale-out storage systems while continuing to deliver the cost and performance advantages and a single system image (SSI). Hierarchical middleware architectures organize critical cluster management services into an overlay network that provides application fault isolation and eliminates symmetric clustering middleware as a single-point-of-failure. We present an in-depth evaluation of hierarchical middlewares based on an industry-strength storage system. Our results show that hierarchical architectures can significantly improve availability and reliability of scale-out storage clusters.
Citation:
Sangeetha Seshadri, Ling Liu, Brian F. Cooper, Lawrence Chiu, Karan Gupta, Paul Muench, "A Fault-Tolerant Middleware Architecture for High-Availability Storage Services," scc, pp.286-293, IEEE International Conference on Services Computing (SCC 2007), 2007
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