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Partial Utility-Driven Scheduling for Flexible SLA and Pricing Arbitration in Clouds
IEEE Transactions on Cloud Computing
Cloud SLAs compensate customers with credits when average availability drops below certain levels. This is too inflexible because consumers lose non-measurable amounts of performance being only compensated later, in next charging cycles. We propose to schedule virtual machines (VMs), driven by range-based non-linear reductions of utility, different for classes of users and across different ranges of resource allocations: partial utility. This customer-defined metric, allows providersdoi:10.1109/tcc.2014.2372753 fatcat:ywuefwm6wjfv3bwm4ls73s6ram