Design and implementation of a cache-based granular computing system

DOI

10.2991/iske.2007.71How to use a DOI?

Keywords

Granular Computing, Cache, Data Mining, Attribute Granule, Schedule algorithm

Abstract

This paper presents a multilayer cache-based attribute granular computing system. It can be used to implement algorithms based on attribute granular computing. After defining an attribute granule, it brings forward an operation and storage model. Six basic mapping operations and three suitable storage patterns are designed for all kinds of attribute granular computing and storage. A cache-based storage management with schedule algorithm can improve the efficiency of data access and solve the problem which is caused by the limited memory capacity. Finally a hierarchy cache-based attribute granular computing system is implemented.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoxia Huang
AU  - Lun Cheng
PY  - 2007/10
DA  - 2007/10
TI  - Design and implementation of a cache-based granular computing system
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 422
EP  - 427
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.71
DO  - 10.2991/iske.2007.71
ID  - Huang2007/10
ER  -