DocumentCode
2331099
Title
File Fragmentation over an Unreliable Channel
Author
Nair, Jayakrishnan ; Andreasson, Martin ; Andrew, Lachlan L H ; Low, Steven H. ; Doyle, John C.
Author_Institution
Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
1
Lastpage
9
Abstract
It has been recently discovered that heavy-tailed file completion time can result from protocol interaction even when file sizes are light-tailed. A key to this phenomenon is the RESTART feature where if a file transfer is interrupted before it is completed, the transfer needs to restart from the beginning. In this paper, we show that independent or bounded fragmentation produces light-tailed file completion time as long as the file size is light-tailed, i.e., in this case, heavy-tailed file completion time can only originate from heavy-tailed file sizes. If the file size is heavy-tailed, then the file completion time is clearly heavy-tailed. For this case, we show that when the file size distribution is regularly varying, then under independent or bounded fragmentation, the completion time tail distribution function is asymptotically upper bounded by that of the original file size stretched by a constant factor. We then prove that if the failure distribution has non-decreasing failure rate, the expected completion time is minimized by dividing the file into equal sized fragments; this optimal fragment size is unique but depends on the file size. We also present a simple blind fragmentation policy where the fragment sizes are constant and independent of the file size and prove that it is asymptotically optimal. Finally, we bound the error in expected completion time due to error in modeling of the failure process.
Keywords
file organisation; multipath channels; peer-to-peer computing; statistical distributions; asymptotic optimal fragments; blind fragmentation policy; bounded fragmentation; file fragmentation; file size distribution; heavy-tailed file completion time; independent fragmentation; light-tailed file completion; tail distribution function; unreliable channel; Communications Society; Distribution functions; Internet; Probability distribution; Protocols; Random variables; Robustness; Routing; Tail; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2010 Proceedings IEEE
Conference_Location
San Diego, CA
ISSN
0743-166X
Print_ISBN
978-1-4244-5836-3
Type
conf
DOI
10.1109/INFCOM.2010.5461953
Filename
5461953
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