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Design and Analysis of Online Batching Systems

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Abstract

In this paper, we study the design and analysis of online batching systems, which can be used to model many popular IT systems such as the Video-On-Demand system and the Pull-based Data Dissemination system. We analyze how the start-up delay affects the performance of these systems and investigate the tradeoff relationship between the number of servers and the length of the start-up delay. We also study a simple online algorithm for scheduling online batching systems. By deriving close lower and upper bounds, we prove that our algorithm is near optimal.

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Authors and Affiliations

  1. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong

    Regant Y. S. Hung & Hing-Fung Ting

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  1. Regant Y. S. Hung
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  2. Hing-Fung Ting
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Correspondence to Hing-Fung Ting.

Additional information

A preliminary version of this paper appears in Proceedings of the 7th Latin American Theoretical Informatics Symposium, pp. 605–616, 2006.

This research was supported in part by Hong Kong RGC Grant HKU-7045/02E.

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Hung, R.Y.S., Ting, HF. Design and Analysis of Online Batching Systems. Algorithmica 57, 217–231 (2010). https://doi.org/10.1007/s00453-008-9201-3

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