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