Application-Oriented Cloud Monitoring Data Distribution Mechanism

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  • (1. School of Electronic Information and Electric Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. College of Information, Mechamical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China; 3. College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, Zhejiang, China)

Online published: 2015-04-02

Abstract

Cloud computing system consists of private clouds and public clouds. It merges its resources on each layer (e.g. IaaS, PaaS and SaaS), which poses a challenge for resource management. The cloud monitoring system is a solution to managing cloud system data from the heterogeneous resources. This paper discusses the monitoring and collection of the heterogeneous resources, studies the adaptive system, and proposes a real-time extensible distributed framework of monitoring data processing. Based on this framework, a system of monitoring data distribution, publication and subscription is proposed. The simulation results show that the proposed mechanism can adaptively determine the distribution action of monitoring data flow, and effectively reduce the costs for data monitoring and distribution.

Cite this article

LI Da-zhi1,2* (李大志), LIU Jian-hua3 (刘建华), DONG Xin1 (董鑫),LI Lu-qun2 (李鲁群), CHEN Jun-hua2 (陈军华) . Application-Oriented Cloud Monitoring Data Distribution Mechanism[J]. Journal of Shanghai Jiaotong University(Science), 2015 , 20(2) : 149 -155 . DOI: 10.1007/s12204-015-1603-1

References

[1] Khanli L M, Analoui M. An approach to grid resource selection and fault management based on ECA rules [J]. Future Generation Computer Systems, 2008,24(4): 296-316.
[2] Guo Y, Guo L. IC cloud: Enabling compositional cloud [J]. International Journal of Automation and Computing, 2011, 8(3): 269-279.
[3] Newman H B, Legrand I C, Galvez P, et al. Mon-ALISA: A distributed monitoring service architecture[C]//Proceedings of the Computing in High Energy and Nuclear Physics Conference. La Jolla, Ca, USA: IEEE,2003: 1-8.
[4] Kanstr′en T, Savola R. Definition of core requirements and a reference architecture for a dependable,secure and adaptive distributed monitoring framework[C]//Proceedings of the 3 International Conference on Dependability. Venice, Italy: IEEE, 2010: 154-163.
[5] Sun Y, Xiao Z, Bao D, et al. An architecture model of management and monitoring on cloud services resources[C]//Proceedings of the 3 International Conference on Advanced Computer Theory and Engineering.Chengdu, China: IEEE, 2010: V3207-V3211.
[6] Lahmadi A, Andrey L, Festor O. Performance of network and service monitoring frameworks[C]//Proceedings of the IEEE International Symposium on Integrated Network Management. [s. l.]: IEEE,2009: 815-820.
[7] He Q, Han J, Yang Y, et al. Formulating costeffective monitoring strategies for service-based systems[J]. IEEE Transactions on Software Engineering,2014, 40(5): 461-482.
[8] Buyya R, Yeo C S, Venugopal S, et al. Cloud computing and emerging it platforms: Vision, hype,and reality for delivering computing as the 5th utility[J]. Future Generation Computer Systems, 2009, 25(6):599-616.
[9] Meng S, Liu L, Wang T. State monitoring in cloud data centers [J]. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1328-1344.
[10] Chung W C, Chang R S. A new mechanism for resource monitoring in Grid computing [J]. Future Generation Computer Systems, 2009, 25(1): 1-7.
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