Title :
End-System Aware, Rate-Adaptive Protocol for Network Transport in LambdaGrid Environments
Author :
Datta, Pallab ; Feng, Wu-chun ; Sharma, Sushant
Author_Institution :
Div. of Comput. & Computational Sci., Los Alamos Nat. Lab., NM
Abstract :
Next-generation e-Science applications would require the ability to transfer information at high data rates between distributed computing centers and data repositories. A LambdaGrid offers dedicated, optical, circuit-switched, point-to-point connections that can be reserved exclusively for such applications. These dedicated high-speed connections eliminate network congestion as seen in traditional Internet, but they effectively push the network congestion to the end systems, as processing speeds cannot keep up with networking speeds. Thus, developing an efficient transport protocol over such high-speed dedicated circuits is of critical importance. We propose the idea of a end-system aware, rate-adaptive protocol for network transport, based on end-system performance monitoring. Our proposed protocol significantly improves the performance of data transfer over LambdaGrids by intelligently adapting the sending rate based on end-system constraints. We demonstrate the effectiveness of our proposed protocol and illustrate the performance gains achieved via wide-area network emulation
Keywords :
Internet; grid computing; natural sciences computing; telecommunication congestion control; transport protocols; Internet; LambdaGrid environments; data repositories; distributed computing centers; e-Science applications; end-system aware rate-adaptive protocol; high-speed dedicated circuits; network congestion; network transport protocol; Application software; Computer networks; Data visualization; Distributed computing; Integrated circuit interconnections; Network servers; Optical fiber networks; Permission; Supercomputers; Transport protocols;
Conference_Titel :
SC 2006 Conference, Proceedings of the ACM/IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
0-7695-2700-0
Electronic_ISBN :
0-7695-2700-0