• Feb 07, 2023 News!JACN will adopt Article-by-Article Work Flow. The benefit of article-by-article workflow is that a delay with one article may not delay the entire issue. Once a paper steps into production, it will be published online soon.   [Click]
  • May 30, 2022 News!JACN Vol.10, No.1 has been published with online version.   [Click]
  • Dec 24, 2021 News!Volume 9 No 1 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2015 Vol.3(3): 197-200 ISSN: 1793-8244
DOI: 10.7763/JACN.2015.V3.166

Scheduling Optimization Algorithm Based on Hadoop

Qingnian Zhang, Ying Gao, Zhao Chen, and Xiuxia Zhang

Abstract—With the increasingly sophisticated and popularity of the third-generation communication networks, the size of the network is drastically becomes larger and the equipment complexity is also greatly improved. So how to quickly resolve the call failure and how to ensure the quality of network operation becomes the most urgent task for network maintenance personnel. Call trace system, a new feature derived from signaling trace , as an important subsystem of the network management system is a powerful means to solve call failure problem and guarantee the quality of the network operation. Scheduling in call tracking system used in communication is fifo scheduling algorithm of Hadoop. In practical applications, in order to make full use of the resources, different levels of users sharing a cluster, the different types of call tracking data processing will be done in the same cluster. Therefore, on the basis of the fair scheduling, this paper put forward based on the improved algorithm of call tracking system, to improve the system of the department can, better meet the actual demand of the system.

Index Terms—Scheduling algorithm, system optimization, scheduling algorithm, Hadoop.

The authors are with the School of Transportation, Wuhan University of Technology, Wuhan 430063, Hubei, China (e-mail: 466802324@qq.com).


Cite:Qingnian Zhang, Ying Gao, Zhao Chen, and Xiuxia Zhang, "Scheduling Optimization Algorithm Based on Hadoop," Journal of Advances in Computer Networks vol. 3, no. 3, pp. 197-200, 2015.

Copyright © 2008-2024. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net