IEICE TRANSACTIONS on Information
A Design Framework for Online Algorithms Solving the Object Replacement Problem
Summary :
Network caches reduce network traffic as well as user response time. When implementing network caches, the object replacement problem is one of the core problems; The problem is to determine which objects should be evicted from a cache when there is insufficient space. This paper first formalizes the problem and gives a simple but sufficient condition for deterministic online algorithms to be competitive. Based on the condition, a general framework to make a non-competitive algorithm competitive is constructed. As an application of the framework, an online algorithm, called Competitive_SIZE, is proposed. Both event-driven and trace-driven simulations show that Competitive_SIZE is better than previously proposed algorithms such as LRU (Least Recently Used).
- Publication
- IEICE TRANSACTIONS on Information Vol.E84-D No.9 pp.1135-1143
- Publication Date
- 2001/09/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Algorithms
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Seiichiro TANI, Toshiaki MIYAZAKI, "A Design Framework for Online Algorithms Solving the Object Replacement Problem" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 9, pp. 1135-1143, September 2001, doi: .
Abstract: Network caches reduce network traffic as well as user response time. When implementing network caches, the object replacement problem is one of the core problems; The problem is to determine which objects should be evicted from a cache when there is insufficient space. This paper first formalizes the problem and gives a simple but sufficient condition for deterministic online algorithms to be competitive. Based on the condition, a general framework to make a non-competitive algorithm competitive is constructed. As an application of the framework, an online algorithm, called Competitive_SIZE, is proposed. Both event-driven and trace-driven simulations show that Competitive_SIZE is better than previously proposed algorithms such as LRU (Least Recently Used).
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_9_1135/_p
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@ARTICLE{e84-d_9_1135,
author={Seiichiro TANI, Toshiaki MIYAZAKI, },
journal={IEICE TRANSACTIONS on Information},
title={A Design Framework for Online Algorithms Solving the Object Replacement Problem},
year={2001},
volume={E84-D},
number={9},
pages={1135-1143},
abstract={Network caches reduce network traffic as well as user response time. When implementing network caches, the object replacement problem is one of the core problems; The problem is to determine which objects should be evicted from a cache when there is insufficient space. This paper first formalizes the problem and gives a simple but sufficient condition for deterministic online algorithms to be competitive. Based on the condition, a general framework to make a non-competitive algorithm competitive is constructed. As an application of the framework, an online algorithm, called Competitive_SIZE, is proposed. Both event-driven and trace-driven simulations show that Competitive_SIZE is better than previously proposed algorithms such as LRU (Least Recently Used).},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - A Design Framework for Online Algorithms Solving the Object Replacement Problem
T2 - IEICE TRANSACTIONS on Information
SP - 1135
EP - 1143
AU - Seiichiro TANI
AU - Toshiaki MIYAZAKI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2001
AB - Network caches reduce network traffic as well as user response time. When implementing network caches, the object replacement problem is one of the core problems; The problem is to determine which objects should be evicted from a cache when there is insufficient space. This paper first formalizes the problem and gives a simple but sufficient condition for deterministic online algorithms to be competitive. Based on the condition, a general framework to make a non-competitive algorithm competitive is constructed. As an application of the framework, an online algorithm, called Competitive_SIZE, is proposed. Both event-driven and trace-driven simulations show that Competitive_SIZE is better than previously proposed algorithms such as LRU (Least Recently Used).
ER -
English
