Performance analysis of data scheduling algorithms for multi-item requests in multi-channel broadcast environments
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 529-542 |
| Journal / Publication | International Journal of Communication Systems |
| Volume | 23 |
| Issue number | 4 |
| Publication status | Published - Apr 2010 |
Link(s)
Abstract
Nowadays querying multiple-dependent data items in a request is common in many advanced mobile applications, such as traffic information enquiry services. In addition, multi-channel architectures are widely deployed in many data dissemination systems. In this paper, we extend a number of data productivity-based scheduling algorithms and evaluate their performance in scheduling multi-item requests in multi-channel broadcast environments. We observe from the experimental results two performance problems that render these algorithms ineffective. Lastly, we discuss possible causes of these problems to give insights in the design of a better solution. Copyright © 2009 John Wiley & Sons, Ltd.
Research Area(s)
- Data dissemination, Multi-channel architecture, Multi-item request, Scheduling algorithm
Citation Format(s)
Performance analysis of data scheduling algorithms for multi-item requests in multi-channel broadcast environments. / Liu, Kai; Lee, Victor C.S.
In: International Journal of Communication Systems, Vol. 23, No. 4, 04.2010, p. 529-542.
In: International Journal of Communication Systems, Vol. 23, No. 4, 04.2010, p. 529-542.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
