An efficient data dissemination approach for cloud monitoring

Xingjian Lu; Jianwei Yin; Ying Li; Shuiguang Deng; Mingfa Zhu

doi:10.1007/978-3-642-34321-6_58

An efficient data dissemination approach for cloud monitoring

Xingjian Lu, Jianwei Yin, Ying Li, Shuiguang Deng, Mingfa Zhu

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Cloud computing brings dynamic resource scalability, payper- use billing model and simplified developing platforms, however, the monitoring of cloud today is still confronted with the flexibility, scalability, efficiency and performance problems, especially when the scale of cloud platform is being constantly expanding recent years. In this paper, we first present an efficient and intelligent monitoring architecture for cloud platform based on Data Distribution Service(DDS) and Complex Event Processing(CEP), in order to cope with these challenging issues. Then we mainly focus on the monitoring data dissemination, give more details on how DDS is used in this architecture and propose a comprehensive data delivery algorithm to achieve better accuracy and efficiency.

Original language	English
Title of host publication	Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings
Publisher	Springer Verlag
Pages	733-747
Number of pages	15
ISBN (Print)	9783642343209
DOIs	https://doi.org/10.1007/978-3-642-34321-6_58
State	Published - 2012
Externally published	Yes
Event	10th International Conference on Service-Oriented Computing, ICSOC 2012 - Shanghai, China Duration: 12 Nov 2012 → 15 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7636 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Service-Oriented Computing, ICSOC 2012
Country/Territory	China
City	Shanghai
Period	12/11/12 → 15/11/12

Keywords

Cloud Monitoring
Complex Event Processing
Data Distribution Service

Access to Document

10.1007/978-3-642-34321-6_58

Cite this

Lu, X., Yin, J., Li, Y., Deng, S., & Zhu, M. (2012). An efficient data dissemination approach for cloud monitoring. In Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings (pp. 733-747). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7636 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-34321-6_58

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title = "An efficient data dissemination approach for cloud monitoring",

abstract = "Cloud computing brings dynamic resource scalability, payper- use billing model and simplified developing platforms, however, the monitoring of cloud today is still confronted with the flexibility, scalability, efficiency and performance problems, especially when the scale of cloud platform is being constantly expanding recent years. In this paper, we first present an efficient and intelligent monitoring architecture for cloud platform based on Data Distribution Service(DDS) and Complex Event Processing(CEP), in order to cope with these challenging issues. Then we mainly focus on the monitoring data dissemination, give more details on how DDS is used in this architecture and propose a comprehensive data delivery algorithm to achieve better accuracy and efficiency.",

keywords = "Cloud Monitoring, Complex Event Processing, Data Distribution Service",

author = "Xingjian Lu and Jianwei Yin and Ying Li and Shuiguang Deng and Mingfa Zhu",

year = "2012",

doi = "10.1007/978-3-642-34321-6\_58",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings",

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note = "10th International Conference on Service-Oriented Computing, ICSOC 2012 ; Conference date: 12-11-2012 Through 15-11-2012",

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Lu, X, Yin, J, Li, Y, Deng, S & Zhu, M 2012, An efficient data dissemination approach for cloud monitoring. in Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7636 LNCS, Springer Verlag, pp. 733-747, 10th International Conference on Service-Oriented Computing, ICSOC 2012, Shanghai, China, 12/11/12. https://doi.org/10.1007/978-3-642-34321-6_58

An efficient data dissemination approach for cloud monitoring. / Lu, Xingjian; Yin, Jianwei; Li, Ying et al.
Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. Springer Verlag, 2012. p. 733-747 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7636 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Cloud computing brings dynamic resource scalability, payper- use billing model and simplified developing platforms, however, the monitoring of cloud today is still confronted with the flexibility, scalability, efficiency and performance problems, especially when the scale of cloud platform is being constantly expanding recent years. In this paper, we first present an efficient and intelligent monitoring architecture for cloud platform based on Data Distribution Service(DDS) and Complex Event Processing(CEP), in order to cope with these challenging issues. Then we mainly focus on the monitoring data dissemination, give more details on how DDS is used in this architecture and propose a comprehensive data delivery algorithm to achieve better accuracy and efficiency.

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Lu X, Yin J, Li Y, Deng S, Zhu M. An efficient data dissemination approach for cloud monitoring. In Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. Springer Verlag. 2012. p. 733-747. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-34321-6_58

An efficient data dissemination approach for cloud monitoring

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