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A new hybrid broadcast scheduling algorithm for asymmetric communication systems

push and pull data based on optimal cut-off point
Authors: Y. Guo; S. K. Das; PINOTTI, Maria Cristina;

A new hybrid broadcast scheduling algorithm for asymmetric communication systems

Abstract

It is believed that broadcast is an efficient way to transmit data in an asymmetric communication system. Most of the previous work focused on either pnll-based or push-based scheduling. However, for systems with a very large number of data items, none of these schemes is efficient. We propose a novel scheduling algorithm which uses both pull- and ush-based schemes. In our approach,data items are divided into two disjoint sets: one consisting of more-popular items and the other of less-popular items. The items in the former set are broadcast by a push-based schedule, while those in the latter set by a pnll-based schedule. By optimally electing the cut-off point to distinguish these two sets, the new hybrid scheduling algorithm achieves a lower expected access time than other existing schedules.

Keywords

Broadcast scheduling, broadcasting; scheduling; push-pull, Computer communication networks, Distributed systems

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
17
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Top 10%
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