Library Electronic Resource Scheduling Research based on Ant Colony Algorithm

DOI

10.2991/icismme-15.2015.184How to use a DOI?

Keywords

library electronic resources; cloud storage; ant colony algorithm.

Abstract

By studying ant colony algorithm, aiming at the library electronic resources storage sharing system, proposed an improved ant colony algorithm based on cloud storage, so that the system allocate tasks can be performed more efficiently, and raise the scheduling performance of the overall architecture. Proved by experiments, this ant colony algorithm can rapidly find the resources that customer needed.

Copyright

© 2015, 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  - JunWei Ge
AU  - Xinxiu Cheng
AU  - Yiqiu Fang
PY  - 2015/07
DA  - 2015/07
TI  - Library Electronic Resource Scheduling Research based on Ant Colony Algorithm
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 878
EP  - 881
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.184
DO  - 10.2991/icismme-15.2015.184
ID  - Ge2015/07
ER  -