Abstract
The reliability and availability of cloud computing services improved dramatically in recent years. More and more users tend to migrate their business systems to cloud environment. The compliance of SLAs (Service Level Agreement) in cloud services must be efficiently evaluated to ensure the enforcement of SLAs. Traditionally, an Evaluation Center will be established to collecting performance and reliability metrics data of SLAs. However, since the volume of data collected is huge, and the speed of data generation is fast, large bandwidth and computation capacity is needed in the Evaluation Center. This paper proposes a hierarchical architecture for monitoring and evaluating of the compliances of SLAs. In this architecture, a Data Collection Service is deployed in the intranet of each cloud service provider. Metrics data is first collected and analyzed by local Data Collection Service. When SLA violations are detected, related data is packed, signed and sent to the Evaluation Center located on the Internet. Simulations show that the use of local Data Collection Service will effectively reduce the amount of data transferred via Internet and will not cause much overhead in the construction of evaluation infrastructure.
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Notes
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According to CloudHarmony, the longest downtime (per region) of cloud services by major CSPs in Sep. 2017 is 51.03 min. Data source: https://cloudharmony.com/status-of-compute-group-by-regions.
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Acknowledgment
The work described in this paper is supported by Shenzhen Science and Technology Project “Research on Key Technologies in Trusted Cloud Architecture” (Project No. JSGG20160229122214337).
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Wang, Q., Liu, M., Chen, K., Zhang, Y., Zheng, J. (2018). A Hierarchical Framework for Evaluation of Cloud Service Qualities. In: Zhu, L., Zhong, S. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2017. Communications in Computer and Information Science, vol 747. Springer, Singapore. https://doi.org/10.1007/978-981-10-8890-2_4
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DOI: https://doi.org/10.1007/978-981-10-8890-2_4
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