Earticle

초록

영어

Currently, the combined push-pull model is usually applied in the resource monitoring under cloud computing environment. However, the quantity of data gathered by the producers is much less than those received by the monitor so that a lot of resource is wasted. In order to maintain the data consistency of real time system, an improved adaptive algorithm based on combined push-pull model is proposed. The adaptive strategy is added on the producers that aims to predict when refreshes data came from the monitor using the history data. Experimental result shows that the algorithm can decrease the resource consumption while exchanging data effectively.

목차

Abstract
 1. Introduction
 2. Related Work
 3. An adaptive Data Transmission Method based on a Hybrid P&P Model
 4. Monitoring Metrics
 5. Experiment Analysis
 6. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Ying Jiang [ Yunnan Key Lab of Computer Technology Application, Kunming University of Science and Technology Faculty of Information Engineering and Automation, Kunming University of Science and Technology ]
• Heng Sun [ Yunnan Key Lab of Computer Technology Application, Kunming University of Science and Technology Faculty of Information Engineering and Automation, Kunming University of Science and Technology ]
• Jiaman Ding [ Yunnan Key Lab of Computer Technology Application, Kunming University of Science and Technology Faculty of Information Engineering and Automation, Kunming University of Science and Technology ]
• Yingli Liu [ Yunnan Key Lab of Computer Technology Application, Kunming University of Science and Technology Faculty of Information Engineering and Automation, Kunming University of Science and Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605