DocumentCode :
2339206
Title :
Coding for distributed computation
Author :
Schulman, Leonard J.
Author_Institution :
Div. of Comput. Sci., California Univ., Berkeley, CA, USA
fYear :
1994
fDate :
27-29 Oct 1994
Firstpage :
28
Abstract :
Summary form only given. The author describes analogous coding theorems for the more general, interactive, communications required in computation. In this case the bits transmitted in the protocol are not known to the processors in advance but are determined dynamically. First he shows that any interactive protocol of length T between two processors connected by a noiseless channel can be simulated, if the channel is noisy (a binary symmetric channel of capacity C), in time proportional to T 1/C, and with error probability exponentially small in T. He then shows that this result can be extended to arbitrary distributed network protocols. He shows that any distributed protocol which runs in time T on a network of degree d having noiseless communication channels, can, if the channels are in fact noisy, be simulated on that network in time proportional to T 1/C log d. The probability of failure of the protocol is exponentially small in T
Keywords :
channel capacity; distributed processing; encoding; protocols; arbitrary distributed network protocols; binary symmetric channel; channel capacity; coding theorems; distributed computation; error probability; interactive protocol; noiseless channel; noiseless communication channels; Channel capacity; Codes; Computer network reliability; Computer networks; Computer science; Distributed computing; Large-scale systems; Protocols; Reliability theory; Telecommunication network reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
Type :
conf
DOI :
10.1109/WITS.1994.513866
Filename :
513866
Link To Document :
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