TY - JOUR
T1 - Performance analysis of data scheduling algorithms for multi-item requests in multi-channel broadcast environments
AU - Liu, Kai
AU - Lee, Victor C.S.
PY - 2010/4
Y1 - 2010/4
N2 - 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.
AB - 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.
KW - Data dissemination
KW - Multi-channel architecture
KW - Multi-item request
KW - Scheduling algorithm
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U2 - 10.1002/dac.1098
DO - 10.1002/dac.1098
M3 - RGC 21 - Publication in refereed journal
SN - 1074-5351
VL - 23
SP - 529
EP - 542
JO - International Journal of Communication Systems
JF - International Journal of Communication Systems
IS - 4
ER -