Abstract
With advent of gaining popularity in cloud computing, there is an increase in demand of resources among the heterogeneous workload types on cloud. Resource management is a key challenging problem that is faced by the cloud service providers, by achieving business goals and agreed level of service with the subscribers. This paper focuses on dynamic resource allocation with risk analysis by meeting Service Level Agreements. Further, proposed framework handles heterogeneous workload types by dynamic capacity planning with risk assessment to maximize the profit and resource utilization on clouds. In addition advanced resource reservation, SLA based scheduling/rescheduling with risks involved in resource allocation is considered in the proposed model. The experimental results demonstrates that proposed framework maximizes the resource utilization and profit gain of the cloud service provider when evaluated against widely used static configuration strategy.
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G.M., S., K.G., S. (2012). SLA - Driven Dynamic Resource Allocation on Clouds. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_2
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DOI: https://doi.org/10.1007/978-3-642-29280-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29279-8
Online ISBN: 978-3-642-29280-4
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