An autonomic framework for time and cost driven execution of MPI programs on cloud environments

This paper gives an overview of a framework for making existing MPI applications elastic, and executing them with user-specified time and cost constraints in a cloud framework. Considering the limitations of the MPI implementations currently available, we support adaptation by terminating one execution and restarting a new program on a different number of instances. The key component of our system is a decision layer. Based on the time and cost constraints, this layer decides whether to use fewer or a larger number of instances for the applications, and when appropriate, chooses to migrate the application to a different type of instance. Among other factors, the decision layer also models the redistribution costs.