Issue No. 06 - June (2011 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.186
Rafael Moreno-Vozmediano , Universidad Complutense de Madrid, Madrid
Ruben S. Montero , Universidad Complutense de Madrid, Madrid
Ignacio M. Llorente , Universidad Complutense de Madrid, Madrid
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 paper, we explore this scenario to deploy a computing cluster on the top of a multicloud infrastructure, for solving loosely coupled Many-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 ElasticHosts. Although the testbed 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.
Cloud computing, computing cluster, multicloud infrastructure, loosely coupled applications.
R. Moreno-Vozmediano, I. M. Llorente and R. S. Montero, "Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications," in IEEE Transactions on Parallel & Distributed Systems, vol. 22, no. , pp. 924-930, 2010.