Arana: A Cross-domain Workflow Scheduling System

DOI

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.

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  - 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  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 334
EP  - 337
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.72
DO  - 10.2991/icwcsn-16.2017.72
ID  - Gu2016/12
ER  -