학술논문

NGL01-4: A Hybrid GRASP with Data Mining for Efficient Server Replication for Reliable Multicast
Document Type
Conference
Source
IEEE Globecom 2006 Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE. :1-6 Nov, 2006
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Components, Circuits, Devices and Systems
Aerospace
Data mining
Relays
Unicast
Multicast communication
Transport protocols
NP-hard problem
Cost function
Telecommunication network reliability
Network servers
Multicast protocols
Language
ISSN
1930-529X
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.