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IRE Transactions on Communications Systems
Article . 1981 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Performance Evaluation
Article . 1981 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article . 1981
Data sources: zbMATH Open
DBLP
Article . 1981
Data sources: DBLP
DBLP
Article . 1981
Data sources: DBLP
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Flow Control Power is Nondecentralizable

Flow control power is nondecentralizable
Authors: Jeffrey M. Jaffe;

Flow Control Power is Nondecentralizable

Abstract

Flow control in store-and-forward computer networks is appropriate for decentralized execution. A formal description of a class of "decentralized flow control algorithms" is given. The feasibility of maximizing power with such algorithms is investigated. On the assumption that communication links behave like M/M/1 servers it is shown that no "decentralized flow control algorithm" can maximize network power. Power has been suggested in the literature as a network performance objective. It is also shown that no objective based only on the users' throughputs and average delay is decentralizable. Finally, a restricted class of algorithms cannot even approximate power.

Keywords

store-and-forward computer networks, M/M/1 queue, Deterministic network models in operations research, queuing network, decentralized flow control algorithms, Queues and service in operations research, Performance evaluation, queueing, and scheduling in the context of computer systems

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    influence
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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!
54
Top 1%
Top 1%
Average
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