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Competitive algorithms for on-line problems

Authors:

Mark Manasse,

Lyle McGeoch,

Daniel SleatorAuthors Info & Claims

STOC '88: Proceedings of the twentieth annual ACM symposium on Theory of computing

Pages 322 - 333

https://doi.org/10.1145/62212.62243

Published: 01 January 1988 Publication History

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Abstract

An on-line problem is one in which an algorithm must handle a sequence of requests, satisfying each request without knowledge of the future requests. Examples of on-line problems include scheduling the motion of elevators, finding routes in networks, allocating cache memory, and maintaining dynamic data structures. A competitive algorithm for an on-line problem has the property that its performance on any sequence of requests is within a constant factor of the performance of any other algorithm on the same sequence. This paper presents several general results concerning competitive algorithms, as well as results on specific on-line problems.

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Langberg MSabag O(2024)Competitive Channel-CapacityIEEE Transactions on Information Theory10.1109/TIT.2024.339414970:7(4585-4598)Online publication date: Jul-2024
https://doi.org/10.1109/TIT.2024.3394149
Si Salem TNeglia GIoannidis S(2023)No-regret Caching via Online Mirror DescentACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/36052098:4(1-32)Online publication date: 11-Aug-2023
https://dl.acm.org/doi/10.1145/3605209
Bubeck SCoester CRabani YSaha BServedio R(2023)The Randomized 𝑘-Server Conjecture Is False!Proceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585132(581-594)Online publication date: 2-Jun-2023
https://dl.acm.org/doi/10.1145/3564246.3585132
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Index Terms

Competitive algorithms for on-line problems
1. Theory of computation
  1. Design and analysis of algorithms

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STOC '88: Proceedings of the twentieth annual ACM symposium on Theory of computing

January 1988

553 pages

ISBN:0897912640

DOI:10.1145/62212

Chairman:
J'anos Simon
Univ. of Chicago, Illinois

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 January 1988

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STOC88: 1988 Symposium on the Theory of Computing

May 2 - 4, 1988

Illinois, Chicago, USA

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STOC '88 Paper Acceptance Rate 53 of 192 submissions, 28%;

Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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Langberg MSabag O(2024)Competitive Channel-CapacityIEEE Transactions on Information Theory10.1109/TIT.2024.339414970:7(4585-4598)Online publication date: Jul-2024
https://doi.org/10.1109/TIT.2024.3394149
Si Salem TNeglia GIoannidis S(2023)No-regret Caching via Online Mirror DescentACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/36052098:4(1-32)Online publication date: 11-Aug-2023
https://dl.acm.org/doi/10.1145/3605209
Bubeck SCoester CRabani YSaha BServedio R(2023)The Randomized 𝑘-Server Conjecture Is False!Proceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585132(581-594)Online publication date: 2-Jun-2023
https://dl.acm.org/doi/10.1145/3564246.3585132
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Buchbinder NCoester CNaor J(2022)Online k-taxi via Double Coverage and time-reverse primal-dualMathematical Programming10.1007/s10107-022-01815-6197:2(499-527)Online publication date: 13-May-2022
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On-line k-Truck Problem and Its Competitive Algorithms

Competitive algorithms from competitive equilibria: non-clairvoyant scheduling under polyhedral constraints

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Abstract

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Cited By

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Recommendations

On-line k-Truck Problem and Its Competitive Algorithms

Competitive algorithms from competitive equilibria: non-clairvoyant scheduling under polyhedral constraints

On-line algorithms for 2-space bounded 2-dimensional bin packing

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