2008•Unpublished venueRequires access

A generalized replica placement strategy to optimize latency in a wide area distributed storage system

John A. Chandy

Open publisher page 11 citations

Abstract

john.chandy at uconn.edu Wide area distributed storage systems leverage the scale of the Internet to provide vast amounts of data storage capabilities. The typical building block is a peer-to-peer system that can pool disparate distributed resources into a cohesive storage system. However, the participant nodes are relatively unreliable and thus, distributed storage systems must take care to provide replicas of data objects. A common problem is how to allocate objects to nodes in the system and previous work has allocated objects based on popularity. However, these schemes are not general enough to minimize latency or deal with redundancy schemes such as erasure codes which are based on replication of object fragments. In this paper, we present a strategy for placement of replica fragments particularly with respect to the minimization of data communication latencies.

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What this paper is about

john.chandy at uconn.edu Wide area distributed storage systems leverage the scale of the Internet to provide vast amounts of data storage capabilities. The typical building block is a peer-to-peer system that can pool disparate distributed resources into a cohesive storage system. However, the participant nodes are relatively unreliable and thus, distributed storage systems must take care to provide replicas of data objects. A common problem is how to allocate objects to nodes in the system and previous work has allocated objects based on popularity. However, these schemes are not general enough to minimize latency or deal with redundancy schemes such as erasure codes which are based on replication of object fragments. In this paper, we present a strategy for placement of replica fragments particularly with respect to the minimization of data communication latencies.

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Available abstract

john.chandy at uconn.edu Wide area distributed storage systems leverage the scale of the Internet to provide vast amounts of data storage capabilities. The typical building block is a peer-to-peer system that can pool disparate distributed resources into a cohesive storage system. However, the participant nodes are relatively unreliable and thus, distributed storage systems must take care to provide replicas of data objects. A common problem is how to allocate objects to nodes in the system and previous work has allocated objects based on popularity. However, these schemes are not general enough to minimize latency or deal with redundancy schemes such as erasure codes which are based on replication of object fragments. In this paper, we present a strategy for placement of replica fragments particularly with respect to the minimization of data communication latencies.

Key concepts: Replica, Latency (audio), Computer science, Distributed computing, Distributed data store, Parallel computing, Embedded system, Telecommunications

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