Research on Data Layout Method of Scientific Workflow Pre-placement Stage in Cloud Environment

DOI

10.2991/jiaet-18.2018.41How to use a DOI?

Keywords

Cloud computing, Science workflow, Data placement, Intelligent clustering.

Abstract

The data placement of scientific workflow in the cloud environment has been the key to reducing data transmission. The flow of data across data centers not only leads to time overhead but also affects the efficiency of scientific workflow. In view of this situation, this paper, presented a more effective data placement layout strategy to place data than the traditional data clustering method, considers the initial state of data clustering to generate initial centroid, and then based on the data related to the degree of clustering data, resulting in layout scheme. The experiments show that this strategy can effectively reduce the cross-data flow between data and improve the efficiency of scientific workflow.

Copyright

© 2018, 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  - Shangwei Gao
AU  - Cai Chen
AU  - Yi Liang
PY  - 2018/03
DA  - 2018/03
TI  - Research on Data Layout Method of Scientific Workflow Pre-placement Stage in Cloud Environment
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 231
EP  - 238
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.41
DO  - 10.2991/jiaet-18.2018.41
ID  - Gao2018/03
ER  -