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A Novel Cloud Monitoring Framework with Enhanced QoS Supporting

A Novel Cloud Monitoring Framework with Enhanced QoS Supporting

Peng Xiao, Dongbo Liu
Copyright: © 2019 |Volume: 15 |Issue: 4 |Pages: 15
ISSN: 1548-3673|EISSN: 1548-3681|EISBN13: 9781522564393|DOI: 10.4018/IJeC.2019100103
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MLA

Xiao, Peng, and Dongbo Liu. "A Novel Cloud Monitoring Framework with Enhanced QoS Supporting." IJEC vol.15, no.4 2019: pp.31-45. http://doi.org/10.4018/IJeC.2019100103

APA

Xiao, P. & Liu, D. (2019). A Novel Cloud Monitoring Framework with Enhanced QoS Supporting. International Journal of e-Collaboration (IJeC), 15(4), 31-45. http://doi.org/10.4018/IJeC.2019100103

Chicago

Xiao, Peng, and Dongbo Liu. "A Novel Cloud Monitoring Framework with Enhanced QoS Supporting," International Journal of e-Collaboration (IJeC) 15, no.4: 31-45. http://doi.org/10.4018/IJeC.2019100103

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Abstract

In Cloud environments, performance monitoring service is to obtain a full knowledge of underlying resources. However, it is still a challenging task to manage the information of heterogeneous resources in an efficient way, which is especially true when user-specific quality-of-service (QoS) should be concerned. Although many Cloud monitoring solutions have been proposed in recent years, most of them only passively raise an alert event when a QoS violation occurs. In this article, the authors present a novel Cloud monitoring framework, in which enhanced-QoS is supported through three mechanisms: proactive service-layer agreement (SLA) violation prediction, SLA ranking service, and multi-tenant resource monitoring mechanism. Extensive experiments are conducted in a realistic cloud platform, and the results indicate the proposed framework is capable of providing better QoS supporting comparing with existing monitoring solutions. Also, it exhibits desirable scalability and adaptiveness in a wide range of experimental scenarios.

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