Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Arana: A Cross-domain Workflow Scheduling System

Authors
Jian-Hua Gu, Xue-Yuan Lan, Ying Hao, Yu-Tong Hu
Corresponding Author
Jian-Hua Gu
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.72How to use a DOI?
Keywords
workflow; cross-domain; big data; close to data; schedule
Abstract
Single data center is difficult to meet current demands of data storage and computing resources, leading to data broadly stored in different data centers far from each other geographically. Cross-domain big data processing usually requires data from other data centers across different network. Since the network environment is extremely complex and large amount of data is required for computing, time spent in data transmission is unacceptable, resulting in slow scheduling. In this paper, we propose a cross-domain workflow scheduling system called Arana. By moving program close to data and integrating popular big data processing platform, this system enables user to complete computing with cross-domain data without transferring.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.72How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jian-Hua Gu
AU  - Xue-Yuan Lan
AU  - Ying Hao
AU  - Yu-Tong Hu
PY  - 2016/12
DA  - 2016/12
TI  - Arana: A Cross-domain Workflow Scheduling System
BT  - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.72
DO  - https://doi.org/10.2991/icwcsn-16.2017.72
ID  - Gu2016/12
ER  -