Optimal information dispersal for reliable communication in computer networks

Hung Min Sun; Shiuh-Pyng Shieh

Optimal information dispersal for reliable communication in computer networks

Hung Min Sun^*, Shiuh-Pyng Shieh

^*Corresponding author for this work

National Chiao Tung University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

In an (m, n) Information Dispersal Scheme (IDS), the sender node decomposes a message M of length L into n pieces S_i, l ≤ i ≤ n, each of length L/m, such that any m pieces collected by the receiver node over different paths suffice for reconstructing M. Because of variations of network traffic, the number n of available vertex-disjoint paths for the transmission from the sender node to the receiver node may vary in time. It is very difficult to determine the best n and m such that give the highest communication reliability, when given the maximum number of available disjoint paths and an upper bound for the information expansion rate (n/m). In this research, we discovered several interesting features of (m, n) IDSs which can help reduce the complexity for computing the highest communication reliability. From these findings, we propose a method for determining the optimal IDS.

Original language	English
Pages	460-464
Number of pages	5
State	Published - 1 Dec 1994
Event	Proceedings of the 1994 International Conference on Parallel and Distributed Systems - Hsinchu, China Duration: 19 Dec 1994 → 21 Dec 1994

Conference

Conference	Proceedings of the 1994 International Conference on Parallel and Distributed Systems
City	Hsinchu, China
Period	19/12/94 → 21/12/94

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title = "Optimal information dispersal for reliable communication in computer networks",

abstract = "In an (m, n) Information Dispersal Scheme (IDS), the sender node decomposes a message M of length L into n pieces Si, l ≤ i ≤ n, each of length L/m, such that any m pieces collected by the receiver node over different paths suffice for reconstructing M. Because of variations of network traffic, the number n of available vertex-disjoint paths for the transmission from the sender node to the receiver node may vary in time. It is very difficult to determine the best n and m such that give the highest communication reliability, when given the maximum number of available disjoint paths and an upper bound for the information expansion rate (n/m). In this research, we discovered several interesting features of (m, n) IDSs which can help reduce the complexity for computing the highest communication reliability. From these findings, we propose a method for determining the optimal IDS.",

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N2 - In an (m, n) Information Dispersal Scheme (IDS), the sender node decomposes a message M of length L into n pieces Si, l ≤ i ≤ n, each of length L/m, such that any m pieces collected by the receiver node over different paths suffice for reconstructing M. Because of variations of network traffic, the number n of available vertex-disjoint paths for the transmission from the sender node to the receiver node may vary in time. It is very difficult to determine the best n and m such that give the highest communication reliability, when given the maximum number of available disjoint paths and an upper bound for the information expansion rate (n/m). In this research, we discovered several interesting features of (m, n) IDSs which can help reduce the complexity for computing the highest communication reliability. From these findings, we propose a method for determining the optimal IDS.

AB - In an (m, n) Information Dispersal Scheme (IDS), the sender node decomposes a message M of length L into n pieces Si, l ≤ i ≤ n, each of length L/m, such that any m pieces collected by the receiver node over different paths suffice for reconstructing M. Because of variations of network traffic, the number n of available vertex-disjoint paths for the transmission from the sender node to the receiver node may vary in time. It is very difficult to determine the best n and m such that give the highest communication reliability, when given the maximum number of available disjoint paths and an upper bound for the information expansion rate (n/m). In this research, we discovered several interesting features of (m, n) IDSs which can help reduce the complexity for computing the highest communication reliability. From these findings, we propose a method for determining the optimal IDS.

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