On optimal piggyback merging policies for video-on-demand systems
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Patching: a multicast technique for true video-on-demand services
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Improving bandwidth efficiency of video-on-demand servers
IC3N '97 Selected papers of the 6th international conference on Computer communications and networks
Competitive on-line stream merging algorithms for media-on-demand
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
A unified analysis of hot video schedulers
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
The dyadic stream merging algorithm
Journal of Algorithms
Minimizing Bandwidth Requirements for On-Demand Data Delivery
IEEE Transactions on Knowledge and Data Engineering
Competitive Analysis of On-line Stream Merging Algorithms
MFCS '02 Proceedings of the 27th International Symposium on Mathematical Foundations of Computer Science
On-line stream merging in a general setting
Theoretical Computer Science - Computing and combinatorics
On-line scheduling of video streams
On-line scheduling of video streams
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This paper introduces the notions of span and coverage for analyzing the performance of on-line algorithms for stream merging. We show that these two notions can solely determine the competitive ratio of any such algorithm. Furthermore, we devise a simple greedy algorithm that can attain the ideal span and coverage, thus giving a better performance guarantee than existing algorithms with respect to either the maximum bandwidth or the total bandwidth. The new notions also allow us to obtain a tighter analysis of existing algorithms.