Moreno-Vozmediano, RafaelMontero, Ruben S.Llorente, Ignacio M.2023-06-202023-06-202010-10-281045-9219, ESSN: 1558-218310.1109/TPDS.2010.186https://hdl.handle.net/20.500.14352/42723Cloud 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.engjournal articlehttp://ieeexplore.ieee.org/document/5611500/restricted access004Cloud computingcomputing clustermulticloud infrastructureloosely coupled applicationsInternet (Informática)RedesHardware3325 Tecnología de las Telecomunicaciones