DocumentCode :
3540491
Title :
Distributed optimization of event dissemination exploiting interest clustering
Author :
Lehn, Max ; Rehner, Robert ; Buchmann, Alejandro
Author_Institution :
Databases & Distrib. Syst, Tech. Univ. Darmstadt, Darmstadt, Germany
fYear :
2013
fDate :
21-24 Oct. 2013
Firstpage :
328
Lastpage :
331
Abstract :
In distributed real-time applications, such as online games or interactive conferencing systems, timeliness of update event dissemination is a prevailing requirement. Direct connections are often the best solution. However, participants´ connection bandwidths, especially uplink capacities of asymmetric end user Internet connections, impose a limit to this. We present and evaluate a lightweight local algorithm that optimizes many-to-many event dissemination in highly dynamic scenarios. The algorithm exploits the high clustering of interest networks, as observed in virtual environments based on local vision, but also in social networks of many kinds. Our approach allows reducing traffic by aggregating messages as well as balancing traffic among participants based on their capabilities.
Keywords :
computer games; optimisation; pattern clustering; asymmetric end user Internet connections; distributed optimization; distributed real-time applications; many-to-many event dissemination; massively multiplayer online games; social networks; update event dissemination; Bandwidth; Clustering algorithms; Games; Internet; Optimization; Peer-to-peer computing; Subscriptions; Distributed applications; latency; multicast; optimization; overlay; peer-to-peer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2013 IEEE 38th Conference on
Conference_Location :
Sydney, NSW
ISSN :
0742-1303
Print_ISBN :
978-1-4799-0536-2
Type :
conf
DOI :
10.1109/LCN.2013.6761261
Filename :
6761261
Link To Document :
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