DocumentCode :
1830709
Title :
The effect of timeout prediction and selection on wide area collective operations
Author :
Plank, James S. ; Wolski, Rich ; Allen, Matthew
Author_Institution :
Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA
fYear :
2001
fDate :
2001
Firstpage :
320
Lastpage :
329
Abstract :
Failure identification is a fundamental operation concerning exceptional conditions that network programs must be able to perform. In this paper, we explore the use of timeouts to perform failure identification at the application level. We evaluate the use of static timeouts and of dynamic timeouts based on forecasts using the Network Weather Service. For this evaluation, we perform experiments on a wide-area collection of 31 machines distributed in eight institutions. Though the conclusions are limited to the collection of machines used, we observe that a single static timeout is not reasonable, even for a collection of similar machines over time. Dynamic timeouts perform roughly as well as the best static timeouts and, more importantly, they provide a single methodology for timeout determination that should be effective for wide-area applications
Keywords :
failure analysis; supervisory programs; wide area networks; Network Weather Service; dynamic timeouts; exceptional conditions; failure identification; network programs; static timeouts; timeout prediction; timeout selection; wide-area collective operations; Computer networks; Computer science; Fault diagnosis; Grid computing; High performance computing; Performance evaluation; Sockets; Software libraries; Software packages; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications, 2001. NCA 2001. IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-1432-4
Type :
conf
DOI :
10.1109/NCA.2001.962548
Filename :
962548
Link To Document :
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