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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(6): 499-502 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.368

Research on Node Context Model for the Environmental Parameters of Standard Chicken Henhouse

Pu Haitao, Zhang Aiying, Song Enzhao, and Lin Jinjiao
Abstract—Aiming at the issue of time consuming excess on single node during some workflow activities for the environmental parameters of standard chicken henhouse, this paper builds a P2P network node context based model on task allocating, scheduling and solving. Focusing on the dynamic characteristic of P2P network environment, the model adopts node context to describe the workflow environment. The workflow management system can obtain the environmental dynamic changes through perceiving context information, and be used to manipulate task allocating and scheduling. Basing on the node context, this paper presents the node handling ability assessment index, with which the workflow management system can calculate out the price index and node task allocating index that equles to execution time and manipulate the task scheduling.

Index Terms—Context, standard chicken henhouse, node model.

Pu Haitao is with the Department of Electrical Engineering &Information Technology, Shandong University of Science and Technology, Jinan, 250031, P.R.China (e-mail: pht@sdust.edu.cn).
Zhang Aiying is with Qingdao Agriculture University, Qingdao, 266109, P.R.China (e-mail: zhangay01@163.com).
Song Enzhao is with Beijing Jiaotong University, Beijing, 100044, P.R.China (e-mail: philipjinan@163.com).
Lin Jinjiao is with the School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250031, P.R.China (e-mail: linjj112@163.com).

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Cite:Pu Haitao, Zhang Aiying, Song Enzhao, and Lin Jinjiao, "Research on Node Context Model for the Environmental Parameters of Standard Chicken Henhouse," International Journal of Machine Learning and Computing vol.3, no. 6, pp. 499-502, 2013.

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