A Big data dynamic migration strategy

DOI

10.2991/ic3me-15.2015.364How to use a DOI?

Keywords

Cloud computing; big data; load balancing; data migration; internet access; data set

Abstract

In the face of the current resource scheduling using the static load balancing strategy in cloud computing environment could easily lead to the waste of resource, the paper put forward a migration strategy based on the big data migration. The strategy will compare the current load conditions, and choose the data center whose load is lighter, then compute the time consumption of data migration and the number of network access. Finally choose the data which is need to migrate in the date center with lower threshold to migrate the destination node. Experimental shows that the strategy can reduce the consumption time, so as to reduce the proportion of data transmission time accounts for the total execution time.

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  - Jin Fang Zhang
AU  - Qing Xin Wang
AU  - Jia Man Ding
PY  - 2015/08
DA  - 2015/08
TI  - A Big data dynamic migration strategy
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1888
EP  - 1891
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.364
DO  - 10.2991/ic3me-15.2015.364
ID  - Zhang2015/08
ER  -