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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 IEEE/ACM Transaction...arrow_drop_down
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
IEEE/ACM Transactions on Networking
Article . 1997 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/infcom...
Article . 2002 . Peer-reviewed
Data sources: Crossref
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Article . 1997
Data sources: DBLP
DBLP
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Data sources: DBLP
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Group priority scheduling

Authors: Lam, S.; Xie, Geoffrey;

Group priority scheduling

Abstract

For many applications, the end-to-end delay of an application-specific data unit is a more important performance measure than the end-to-end delays of individual packets within a network. From this observation, we propose the idea of group scheduling. Specifically, consecutive packet arrivals in a flow are partitioned into groups, and the same deadline (called group priority) is assigned to every packet in a group. We first present an end-to-end delay guarantee theorem for a network of guaranteed-deadline (GD) servers. The theorem can be instantiated to obtain end-to-end delay bounds for a variety of source control mechanisms and GD servers. We then specialize the delay guarantee theorem to group scheduling for a subclass of GD servers. We work out a detailed example to demonstrate how to use group scheduling in a particular class of networks. The advantages of group scheduling are discussed and illustrated with empirical results from simulation experiments.

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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!
15
Average
Top 10%
Average
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