RT Journal Article
T1 Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications
A1 Moreno-Vozmediano, Rafael
A1 Montero, Ruben S.
A1 Llorente, Ignacio M.
AB 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.
PB IEEE Computer Society
SN 1045-9219, ESSN: 1558-2183
YR 2010
FD 2010-10-28
LK https://hdl.handle.net/20.500.14352/42723
UL https://hdl.handle.net/20.500.14352/42723
LA eng
NO Unión Europea. FP7
NO Ministerio de Educación y Ciencia (MEC)
NO Comunidad de Madrid
DS Docta Complutense
RD 8 abr 2025