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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
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).

[PDF]

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.

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