Cloud

Decision Model for Cloud Computing Under SLA Constraints

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Executive Summary

With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and thus control the balance of reliability versus monetary costs. A critical challenge is to determine bid prices that minimize monetary costs for a user while meeting Service Level Agreement (SLA) constraints (for example, sufficient resource availability to complete a computation within a desired deadline). The authors propose a probabilistic model for the optimization of monetary costs, performance, and reliability, given user and application requirements and dynamic conditions.

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