@inproceedings{a49b6b98e7174783b4e59364090ae3f1,
title = "Improved On-Line Stream Merging: From a Restricted to a General Setting",
abstract = "Stream merging is a promising technique for reducing server bandwidth in video-on-demand systems. There are many heuristics for the problem proposed whose effectiveness has been confirmed empirically. However, it is desirable to prove their effectiveness mathematically. In the pioneering work [2], Bar-Noy and Ladner studied stream merging using competitive analysis. They designed an O(log n)-competitive online scheduler, where n is the totaln umber of stream requests. However, their result is applicable only to systems with large client bandwidth and buffer size. In this paper we design the first on-line scheduler for stream merging in the general setting, in which we lift the large resource requirements, and our scheduler achieves constant competitive ratio.",
author = "Chan, \{Wun Tat\} and Lam, \{Tak Wah\} and Ting, \{Hing Fung\} and Wong, \{Wai Ha\}",
note = "Publisher Copyright: {\textcopyright} 2001 Springer-Verlag Berlin Heidelberg. Funding Information: Research supported by the Hong Kong Research Grants Council HKU7103/99E.; 7th Annual International Conference on Computing and Combinatorics, COCOON 2001 ; Conference date: 20-08-2001 Through 23-08-2001",
year = "2001",
month = aug,
day = "3",
doi = "10.1007/3-540-44679-6\_49",
language = "English",
isbn = "9783540424949",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "432--442",
editor = "Jie Wang",
booktitle = "Computing and Combinatorics",
edition = "1st",
url = "https://link.springer.com/book/10.1007/3-540-44679-6",
}