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DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services. / Zhang, H.; Trapero, R.; Luna, J. et al.
2017 IEEE International Conference on Services Computing (SCC). IEEE, 2017. p. 27-34.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Zhang, H, Trapero, R, Luna, J, Suri, N, X., L & U., B 2017, DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services. in 2017 IEEE International Conference on Services Computing (SCC). IEEE, pp. 27-34. https://doi.org/10.1109/SCC.2017.13

APA

Zhang, H., Trapero, R., Luna, J., Suri, N., X., L., & U., B. (2017). DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services. In 2017 IEEE International Conference on Services Computing (SCC) (pp. 27-34). IEEE. https://doi.org/10.1109/SCC.2017.13

Vancouver

Zhang H, Trapero R, Luna J, Suri N, X. L, U. B. DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services. In 2017 IEEE International Conference on Services Computing (SCC). IEEE. 2017. p. 27-34 doi: 10.1109/SCC.2017.13

Author

Zhang, H. ; Trapero, R. ; Luna, J. et al. / DeQAM : A Dependency Based Indirect Monitoring Approach for Cloud Services. 2017 IEEE International Conference on Services Computing (SCC). IEEE, 2017. pp. 27-34

Bibtex

@inproceedings{506e28e398274ac08c03b4c576f88faa,
title = "DeQAM: A Dependency Based Indirect Monitoring Approach for Cloud Services",
abstract = "Cloud service monitoring is a critical need for both providers and customers to assess the state of resources and the level of delivery of services. However, existing Cloud service monitoring methods are typically inapplicable in case the targeted service parameters are inaccessible, e.g., Cloud Service Providers do not allow external access to some service parameters for varied reasons (proprietary IPR, privacy issues, security concerns or simply access difficulties). Hence, alternate Cloud service monitoring approaches are needed to address this issue. Nonetheless, Cloud services are not provided in isolation and very often share common resources with other services that naturally introduces service dependencies between different services. In this paper, we propose a novel Cloud service monitoring approach which targets such dependencies to conduct indirect monitoring of inaccessible Cloud service parameters by using monitoring information collected from other Cloud services. The proposed monitoring approach can also assess the reliability of the monitored result. The presented case study validates the applicability of the proposed indirect monitoring approach. {\textcopyright} 2017 IEEE.",
keywords = "Cloud Services, Service Monitoring, Service Security, Service Security Assurance, Monitoring, Web services, Cloud service providers, Cloud services, Different services, Monitoring approach, Monitoring information, Service monitoring, Service parameters, Service security, Distributed database systems",
author = "H. Zhang and R. Trapero and J. Luna and Neeraj Suri and Liu X. and Bellur U.",
year = "2017",
month = jun,
day = "25",
doi = "10.1109/SCC.2017.13",
language = "English",
isbn = "9781538620069",
pages = "27--34",
booktitle = "2017 IEEE International Conference on Services Computing (SCC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - DeQAM

T2 - A Dependency Based Indirect Monitoring Approach for Cloud Services

AU - Zhang, H.

AU - Trapero, R.

AU - Luna, J.

AU - Suri, Neeraj

AU - X., Liu

AU - U., Bellur

PY - 2017/6/25

Y1 - 2017/6/25

N2 - Cloud service monitoring is a critical need for both providers and customers to assess the state of resources and the level of delivery of services. However, existing Cloud service monitoring methods are typically inapplicable in case the targeted service parameters are inaccessible, e.g., Cloud Service Providers do not allow external access to some service parameters for varied reasons (proprietary IPR, privacy issues, security concerns or simply access difficulties). Hence, alternate Cloud service monitoring approaches are needed to address this issue. Nonetheless, Cloud services are not provided in isolation and very often share common resources with other services that naturally introduces service dependencies between different services. In this paper, we propose a novel Cloud service monitoring approach which targets such dependencies to conduct indirect monitoring of inaccessible Cloud service parameters by using monitoring information collected from other Cloud services. The proposed monitoring approach can also assess the reliability of the monitored result. The presented case study validates the applicability of the proposed indirect monitoring approach. © 2017 IEEE.

AB - Cloud service monitoring is a critical need for both providers and customers to assess the state of resources and the level of delivery of services. However, existing Cloud service monitoring methods are typically inapplicable in case the targeted service parameters are inaccessible, e.g., Cloud Service Providers do not allow external access to some service parameters for varied reasons (proprietary IPR, privacy issues, security concerns or simply access difficulties). Hence, alternate Cloud service monitoring approaches are needed to address this issue. Nonetheless, Cloud services are not provided in isolation and very often share common resources with other services that naturally introduces service dependencies between different services. In this paper, we propose a novel Cloud service monitoring approach which targets such dependencies to conduct indirect monitoring of inaccessible Cloud service parameters by using monitoring information collected from other Cloud services. The proposed monitoring approach can also assess the reliability of the monitored result. The presented case study validates the applicability of the proposed indirect monitoring approach. © 2017 IEEE.

KW - Cloud Services

KW - Service Monitoring

KW - Service Security

KW - Service Security Assurance

KW - Monitoring

KW - Web services

KW - Cloud service providers

KW - Cloud services

KW - Different services

KW - Monitoring approach

KW - Monitoring information

KW - Service monitoring

KW - Service parameters

KW - Service security

KW - Distributed database systems

U2 - 10.1109/SCC.2017.13

DO - 10.1109/SCC.2017.13

M3 - Conference contribution/Paper

SN - 9781538620069

SP - 27

EP - 34

BT - 2017 IEEE International Conference on Services Computing (SCC)

PB - IEEE

ER -