Probabilistic admission control for elastic cloud computing

This paper tackles the problem of optimum allocation of elastic services on virtualized physical resources by incorporating a probabilistic approach in terms of availability guarantees, which allows for reducing the physical computational resources that are required for elasticity reasons. The resulting probabilistic optimization problem also allows for proper trade-offs among business level objectives. Its output is the set of the accepted services, as well as the allocated computing capacity for each service component that comprise the services on the selected physical hosts. The problem was modeled on the General Algebraic Modeling System (GAMS) and solved under realistic provider's settings that demonstrate the efficiency of the proposed method.