DOC: a distributed object caching system for information infrastructure

Authors:
Taehee Lee;Junho Shim;Sang-Goo Lee
Affiliations:
School of Computer Science & Engineering, Seoul National University, Seoul, Korea;Department of Computer Science, Sookmyung Women's University, Seoul, Korea;School of Computer Science & Engineering, Seoul National University, Seoul, Korea
Venue:
HSI'03 Proceedings of the 2nd international conference on Human.society@internet
Year:
2003

Citing 8
Cited 0

Transactional client-server cache consistency: alternatives and performance

ACM Transactions on Database Systems (TODS)
Data mining: concepts and techniques

Data mining: concepts and techniques
The cache location problem

IEEE/ACM Transactions on Networking (TON)
Cure: an efficient clustering algorithm for large databases

Information Systems
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Proxy Cache Algorithms: Design, Implementation, and Performance

IEEE Transactions on Knowledge and Data Engineering
A Server Placement Algorithm Conscious of Communication Delays and Relocation Costs

Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
A Scalable Yet Transparent Infrastructure for Distributed Applications: Core Design of Jasmine ii Framework

ICPADS '01 Proceedings of the Eighth International Conference on Parallel and Distributed Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Object caching is a desirable feature to improve the both scalability and performance of distributed application systems for information infrastructure, the information management system leveraging the power of network computing. However, in order to exploit such benefits, we claim that the following problems: cache server placement, cache replacement, and cache synchronization, should be considered when designing any object cache system. We are under developing DOC: a Distributed Object Caching, as a part of building our information infrastructures. In this paper, we show how each problem is interrelated, and focus to highlight how we handle cache server deployment problem.