DocumentCode :
495694
Title :
Analysis and Optimality on Network Traffic Flows
Author :
Lu, Yu ; Chen, Luonan
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Chongqing Technol. & Bus. Univ., Chongqing, China
Volume :
2
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
39
Lastpage :
43
Abstract :
With the widespread use of the Internet, reducing power consumption to extend network lifetime while maintaining the communication connectivity and covering the target region completely has become one of the most important challenges in designing future Internet networks. After the comparison of some existing methods, such as measuring networks state and evaluating flow-jamming attack on network flow, we present a new form of network traffic flows, in which end systems or hosts have three basic states: on, off and asleep. In this paper, we first give a brief review on the existing techniques, and particularly consider ldquoresearch on architecturerdquo as a process rather than an event. Then, we propose a framework for initial exploration of supporting selective connectivity, whereby a host or a router can choose whether to be ldquoconnectedrdquo or ldquodisconnectedrdquo. The proposed approach is formulated as an optimization problem for both selective connectivity and resource exhaustion in Internet. We show that this technique is able to provide a foundation for design of future protocols to improve the actual Internet architecture.
Keywords :
Internet; telecommunication traffic; Internet; communication connectivity; flow-jamming attack; network lifetime; network traffic flows; optimization problem; power consumption; resource exhaustion; selective connectivity; Computer networks; Computer science; Design engineering; IP networks; Information analysis; Internet; Maintenance engineering; Power engineering and energy; Switches; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.534
Filename :
5171297
Link To Document :
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