Research on Key Technology of Distributed Data Storage in Cloud Computing Environment

DOI

10.2991/icadme-17.2017.61How to use a DOI?

Keywords

K-means clustering algorithm; distributed environment; large data set; complexity.

Abstract

In view of the large scale and scale of data, cloud computing system faces many problems in scalability and high availability. Aiming at the distributed data storage in the cloud computing environment, a recursive positive N-shaped network model is constructed. Based on the data center network structure, the data management model is given, and the data availability is improved. The purpose of the distribution of the distribution strategy and copy of the strategy. Under the premise of guaranteeing the availability of data, a data migration algorithm based on overlay set is proposed, and the node selection strategy is used to minimize the migration cost. Data migration is carried out to allow more machines to sleep and reduce energy consumption. Through the comparative analysis of the experimental data, the correctness and validity of the proposed network topology, data management model and data migration technology are verified.

Copyright

© 2017, 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  - Guo-Song Jiang
AU  - Xiao-Ling He
PY  - 2017/07
DA  - 2017/07
TI  - Research on Key Technology of Distributed Data Storage in Cloud Computing Environment
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 315
EP  - 322
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.61
DO  - 10.2991/icadme-17.2017.61
ID  - Jiang2017/07
ER  -