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Distributed Processing Network Survivability

Authors: Gene Hilborn;

Distributed Processing Network Survivability

Abstract

A new methodology is given for describing the effectiveness of communicating networks of processing subsystems which are subject to communication and processing failures or losses. The network attributes are described as a graph of nodes and edges. A class of performance measures called the “survival index” is defined axiomatically on a connectivity state for the network graph and its reductions. This definition is based on the idea of a team of members cooperating or sharing resources by use of communication links, and on the existence of synergism or a “team effect,” where a group of connected members are more effective than isolated members. The present work is restricted to homogeneous teams — where members have equal capability.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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