DocumentCode :
2279323
Title :
Efficient data retrieving in distributed data-streaming environments
Author :
Liu, Yunhao ; Miao, Jun ; Ni, Lionel M. ; Han, Jinsong
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., China
fYear :
2005
fDate :
17-19 Oct. 2005
Firstpage :
583
Lastpage :
588
Abstract :
In a potential distributed application, automobile tracking system (ATS), automobile location data is continuously generated, kept in a distributed manner. As large amount of traffic will be incurred during search process, it is critical to construct an efficient overlay multicast structure for the ATS so as to distribute traffic to all the physical links evenly, as well as balance the load among group members. In this paper, we propose a distributed protocol, MMT scheme, in which end hosts self-organize into multiple multicast trees. We evaluate the performance of MMT with comprehensive simulations. Experimental results show that MMT outperforms existing approaches in load balance, and its performance penalties are low from the network and the application perspectives.
Keywords :
distributed databases; distributed tracking; information retrieval; multicast protocols; performance evaluation; resource allocation; telecommunication traffic; tree data structures; trees (mathematics); ATS; MMT scheme; automobile tracking system; data retrieval; data-streaming environment; distributed protocol; load balancing; multiple multicast tree; network traffic; overlay multicast structure; performance evaluation; physical link; search process; Automobiles; Base stations; Cities and towns; Information retrieval; Internet; Multicast protocols; Radiofrequency identification; Target tracking; Transponders; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks, 2005. ICCCN 2005. Proceedings. 14th International Conference on
ISSN :
1095-2055
Print_ISBN :
0-7803-9428-3
Type :
conf
DOI :
10.1109/ICCCN.2005.1523944
Filename :
1523944
Link To Document :
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