Paper Info
Title
A Hybrid Grasp With Data Mining For Efficient Server Replication For Reliable Multicast
Abstract
Multicast communication is a topic of intense study by the network research community. The IP Multicast service of the network layer doesn't provide the desired reliability to some multicast applications, and the interest towards approaches to reliable multicast communication has increased. In this work, we focus on the Server Replication method, wherein the data are replicated over a subset of the multicast-capable relaying hosts and retransmission requests from receivers are handled by the nearest Replicated Server. The problem of selecting the best subset of the multicast-capable relaying hosts to replicate the data is NP-Hard. We propose a hybrid metaheuristic to find near optimal solutions for this problem. This proposal is based on a hybrid version of the GRASP metaheuristic that incorporates data mining techniques. Experimental results show that our technique outperforms existing approaches.
Year
DOI
Venue
2006
10.1109/GLOCOM.2006.246
GLOBECOM 2006 - 2006 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE
DocType
ISSN
Citations 
Conference
1930-529X
1
PageRank 
References 
Authors
0.36
11
5
Name
Order
Citations
PageRank
L. F. Santos1161.45
R. Milagres210.36
Célio V. N. de Albuquerque331424.20
Simone L. Martins425320.94
Alexandre Plastino523625.72