Research on Load Balance Strategy Based on Grey Prediction Theory in Cloud Storage

DOI

10.2991/emeit.2012.39How to use a DOI?

Keywords

cloud storage, replica strategy, load balance, grey prediction theory

Abstract

In the HDFS cloud storage environment, the existing replica strategy is not able to adopt the optimal replica according to the current system environment dynamically, which affects the performance of the Cloud Storage system. This paper aims at the replica selection strategies in the load balancing problem, proposes a Replica Strategy based on grey prediction theory in Cloud Storage and predicts the node load rate of different replicas at a moment, selecting the minimum load node dynamically, eventually to load balance.

Copyright

© 2012, 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  - Yu Mao
AU  - Jie Ling
PY  - 2012/09
DA  - 2012/09
TI  - Research on Load Balance Strategy Based on Grey Prediction Theory in Cloud Storage
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 199
EP  - 203
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.39
DO  - 10.2991/emeit.2012.39
ID  - Mao2012/09
ER  -