Abstract
Federated clouds have been a solution to some of the challenges of cloud computing like vendor lock-in and performance-related issues in terms of a wide range of resource utilization and pricing for cloud consumers. This paper provides much insight into the problems faced by cloud consumers while utilizing resources for particular price in relation to SLA violation, QoS awareness and cloud brokerage. A brief review of resource utilization with pricing in perspective of cloud consumers is presented, and a layered agent-based model was proposed for simulating federated cloud. To analyze maximum resource utilization on pricing option a MaxResourceUtility, an expected maximization (EM) algorithm was proposed to consider the influence of missing QoS factors while estimating it for resource utility. The results show that 5–10% increase in maximum resource utility and 10–20% decrease in pricing are observed by considering QoS factor response time while utilizing resources.
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V, P., Prakash, K.B. (2020). A Critical Review on Federated Cloud Consumer Perspective of Maximum Resource Utilization for Optimal Price Using EM Algorithm. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_15
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DOI: https://doi.org/10.1007/978-981-15-0184-5_15
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