2002
DOI: 10.1007/3-540-45876-x_36
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Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design

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Cited by 20 publications
(25 citation statements)
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“…Five approaches considered so far this partitioning problem [23][24][25][26][27]--we defer the detailed presentation of these methods until Section 2.2, where we derive some bound for their time complexity. Nevertheless, none of these approaches can produce programs able to address both requirements of the Webcasting environment (or any other large scale broadcasting environment e.g., [12]), namely (a) skewed access pattern and (b) very large number of items transmitted.…”
Section: Related Work and Motivationmentioning
confidence: 99%
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“…Five approaches considered so far this partitioning problem [23][24][25][26][27]--we defer the detailed presentation of these methods until Section 2.2, where we derive some bound for their time complexity. Nevertheless, none of these approaches can produce programs able to address both requirements of the Webcasting environment (or any other large scale broadcasting environment e.g., [12]), namely (a) skewed access pattern and (b) very large number of items transmitted.…”
Section: Related Work and Motivationmentioning
confidence: 99%
“…Consequently, it is very fast in creating the respective program, but it is vulnerable to skewed access probabilities. The works in [24][25][26][27] are more sophisticated, in that they try to deal with non-uniformity in access probabilities and thus to produce better programs, but require very large processing time when the number of items to be transmitted is more than a thousand, thus they do not exhibit good scalability in terms of the data set size.…”
Section: Related Work and Motivationmentioning
confidence: 99%
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