Cloud

Performance Constraint and Power-Aware Allocation for User Requests in Virtual Computing Lab

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Executive Summary

Cloud computing is driven by economies of scale. A cloud system uses virtualization technology to provide cloud resources (e.g. CPU, memory) to users in form of virtual machines. Virtual Machine (VM), which is a sandbox for user application, fits well in the education environment to provide computational resources for teaching and research needs. In resource management, they want to reduce costs in operations by reducing expensive cost of electronic bill of large-scale data center system. A lease-based model is suitable for the authors Virtual Computing Lab, in which users ask resources on a lease of virtual machines. This paper proposes two host selection policies, named MAP (Minimum of Active Physical Hosts) and MAP-H2L, and four algorithms solving the lease scheduling problem.

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