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Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel
May 2005 (vol. 54 no. 5)
pp. 558-572
ASCII Text
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Elia Ardizzoni, Alan A. Bertossi, M. Cristina Pinotti, Shashank Ramaprasad, Romeo Rizzi, Madhusudana V.S. Shashanka, "Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel," IEEE Transactions on Computers, vol. 54, no. 5, pp. 558-572, May, 2005.
 
 
BibTex
x
 
@article{ 10.1109/TC.2005.81,
author = {Elia Ardizzoni and Alan A. Bertossi and M. Cristina Pinotti and Shashank Ramaprasad and Romeo Rizzi and Madhusudana V.S. Shashanka},
title = {Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel},
journal ={IEEE Transactions on Computers},
volume = {54},
number = {5},
issn = {0018-9340},
year = {2005},
pages = {558-572},
doi = {http://doi.ieeecomputersociety.org/10.1109/TC.2005.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Computers
TI - Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel
IS - 5
SN - 0018-9340
SP558
EP572
EPD - 558-572
A1 - Elia Ardizzoni,
A1 - Alan A. Bertossi,
A1 - M. Cristina Pinotti,
A1 - Shashank Ramaprasad,
A1 - Romeo Rizzi,
A1 - Madhusudana V.S. Shashanka,
PY - 2005
KW - Wireless communication
KW - data broadcast
KW - multiple channels
KW - skewed allocation
KW - flat scheduling
KW - average waiting time
KW - dynamic programming.
VL - 54
JA - IEEE Transactions on Computers
ER -
 
Broadcast is an efficient and scalable way of transmitting data to an unlimited number of clients that are listening to a channel. Cyclically broadcasting data over the channel is a basic scheduling technique, which is known as flat scheduling. When multiple channels are available, a data allocation technique is needed to assign data to channels. Partitioning data among channels in an unbalanced way, depending on data popularities, is an allocation technique known as skewed allocation. In this paper, the problem of data broadcasting over multiple channels is considered, assuming skewed data allocation to channels and flat data scheduling per channel, with the objective of minimizing the average waiting time of the clients. First, several algorithms, based on dynamic programming, are presented which provide optimal solutions for N data items and K channels. Specifically, for data items with uniform lengths, an O(NK\log N) time algorithm is proposed, which improves over the previously known O(N^2K) time algorithm. When K \le 4, a simpler O(N\log N) time algorithm is exhibited which requires only O(N) time if the data items are sorted. Moreover, for data items with nonuniform lengths, it is shown that the problem is NP-hard when K=2 and strong NP-hard for arbitrary K. In the former case, a pseudopolynomial algorithm is discussed whose time is O(NZ), where Z is the sum of the data lengths. In the latter case, an algorithm is devised with time exponential in the maximum data length, which can optimally solve, in reasonable time, only small instances. For larger instances, a new heuristic is devised which is experimentally tested on some benchmarks whose popularities are characterized by Zipf distributions. Such experimental tests reveal that the new heuristic proposed here always outperforms the best previously known heuristic in terms of solution quality.

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Index Terms:
Wireless communication, data broadcast, multiple channels, skewed allocation, flat scheduling, average waiting time, dynamic programming.
Citation:
Elia Ardizzoni, Alan A. Bertossi, M. Cristina Pinotti, Shashank Ramaprasad, Romeo Rizzi, Madhusudana V.S. Shashanka, "Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel," IEEE Transactions on Computers, vol. 54, no. 5, pp. 558-572, May 2005, doi:10.1109/TC.2005.81
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