Multicloud Deployment of Computing Clusters for Loosely Coupled Multi Task Computing (MTC) Applications

Cloud computing is gaining acceptance in many IT organizations, as an elastic, flexible, and variable-cost way to deploy their service platforms using outsourced resources.Unlike traditional utilities where a single provider scheme is a common practice, the ubiquitous access to cloud resources easily enables the simultaneous use of different clouds.In this project, we explore this scenario to deploy a computing cluster on the top of a multicloud infrastructure, for solving loosely coupled Multi-Task Computing (MTC) applications.In this way, the cluster nodes can be provisioned with resources from different clouds to improve the cost effectiveness of the deployment, or to implement high-availability strategies.We prove the viability of this kind of solutions by evaluating the scalability, performance, and cost of different configurations of a Sun Grid Engine cluster, deployed on a multicloud infrastructure spanning a local data center and three different cloud sites: Amazon EC2 Europe, Amazon EC2 US, and Elastic Hosts.Although the test bed deployed in this work is limited to a reduced number of computing resources (due to hardware and budget limitations), we have complemented our analysis with a simulated infrastructure model, which includes a larger number of resources, and runs larger problem sizes.Data obtained by simulation show that performance and cost results can be extrapolated to large-scale problems and cluster infrastructures.