Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs

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	Similar Articles Articles by Konstantinos Kalpakis Articles by Koustuv Dasgupta Articles by Ouri Wolfson

June 2001 (vol. 12 no. 6)

pp. 628-637

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	Konstantinos Kalpakis, Koustuv Dasgupta, Ouri Wolfson, "Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs," IEEE Transactions on Parallel and Distributed Systems, vol. 12, no. 6, pp. 628-637, June, 2001.

	BibTex	x
	@article{ 10.1109/71.932716, author = {Konstantinos Kalpakis and Koustuv Dasgupta and Ouri Wolfson}, title = {Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs}, journal ={IEEE Transactions on Parallel and Distributed Systems}, volume = {12}, number = {6}, issn = {1045-9219}, year = {2001}, pages = {628-637}, doi = {http://doi.ieeecomputersociety.org/10.1109/71.932716}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - JOUR JO - IEEE Transactions on Parallel and Distributed Systems TI - Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs IS - 6 SN - 1045-9219 SP628 EP637 EPD - 628-637 A1 - Konstantinos Kalpakis, A1 - Koustuv Dasgupta, A1 - Ouri Wolfson, PY - 2001 KW - Data replication KW - multicasting KW - facility location KW - p-medians KW - file allocation KW - tree networks. VL - 12 JA - IEEE Transactions on Parallel and Distributed Systems ER -

Konstantinos Kalpakis

Koustuv Dasgupta

Ouri Wolfson

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/71.932716

Abstract—We consider the problem of placing copies of objects in a tree network in order to minimize the cost of servicing read and write requests to objects when the tree nodes have limited storage and the number of copies permitted is limited. The set of nodes that have a copy of the object is the residence set of the object. A node wishing to read the object will read the object from the closest node in the residence set. A node wishing to update the object will update the copy of the object at all the nodes in the residence set. Updates are propagated over a certain minimum spanning tree. The cost associated with a residence set equals the cost of servicing all the read and write requests and the storage costs for those copies. We describe a $O(n^3 p^2) \hbox {-} {\rm time}$ algorithm for finding an optimal residence set of size $p$ for an object in a tree with $n$ nodes, taking into consideration the read, write, and storage costs. Furthermore, we describe a $O(n^3 p^2 \Lambda_{\max}^2) \hbox {-} {\rm time}$ algorithm for finding a minimum cost normal p-residence set for an object in a tree, this time also taking into account the load imposed by the nodes of the tree on the nodes in a residence set and their capacity constraints, where $\Lambda_{\rm max}$ is an upper bound on the capacity of each node of the tree.

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Index Terms:

Data replication, multicasting, facility location, p-medians, file allocation, tree networks.

Citation:

Konstantinos Kalpakis, Koustuv Dasgupta, Ouri Wolfson, "Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs," IEEE Transactions on Parallel and Distributed Systems, vol. 12, no. 6, pp. 628-637, June 2001, doi:10.1109/71.932716

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