NDLI: QoS-Aware Distributed Replica Placement in Hierarchical Data Grids

Content Provider	IEEE Xplore Digital Library
Author	Shorfuzzaman, M. Graham, P. Eskicioglu, R.
Copyright Year	2011
Abstract	Data Grids provide services and infrastructure for distributed data-intensive applications accessing massive geographically distributed datasets. An important technique to speed access in Data Grids is replication, which provides nearby data access. Much of the work on the replica placement problem has focused on average system performance and ignored quality assurance issues. In a data grid environment, resource availability, network latency, and users' requests may change. Moreover, different sites may have different service quality requirements. In this paper, we introduce a new highly distributed and decentralized replica placement algorithm for hierarchical Data Grids that determines the positions of a minimum number of replicas expected to satisfy certain quality requirements. Our placement algorithm exploits the data access history for popular data files and computes replica locations by minimizing overall replication cost (read and update) while maximizing QoS satisfaction for a given traffic pattern. The problem is formulated using dynamic programming. We assess our algorithm using OptorSim. A comparison between our algorithm and its QoS-unconstrained counterpart shows that our algorithm can shorten job execution time greatly while consuming moderate bandwidth for data transfer.
Starting Page	291
Ending Page	299
File Size	261118
Page Count	9
File Format	PDF
ISBN	9781612843131
ISSN	1550445X
DOI	10.1109/AINA.2011.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-22
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Servers Heuristic algorithms TV Bandwidth Dynamic programming Distributed databases dynamic programming data grids replication quality of service distributed algorithm
Content Type	Text
Resource Type	Article

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