The Community for Technology Leaders
RSS Icon
Issue No.06 - June (2011 vol.22)
pp: 924-930
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.
Rafael Moreno-Vozmediano, Ruben S. Montero, Ignacio M. Llorente, "Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications", IEEE Transactions on Parallel & Distributed Systems, vol.22, no. 6, pp. 924-930, June 2011, doi:10.1109/TPDS.2010.186
[1] I. Raicu, I. Foster, and Y. Zhao, “Many-Task Computing for Grids and Supercomputers,” Proc. Workshop Many-Task Computing on Grids and Supercomputers, pp. 1-11, 2008.
[2] BioTeam “Howto: Unicluster and Amazon EC2,” technical report, BioTeam Lab Summary, 2008.
[3] I. Llorente, R. Moreno-Vozmediano, and R. Montero, “Cloud Computing for On-Demand Grid Resource Provisioning,” Advances in Parallel Computing, vol. 18, pp. 177-191, IOS Press, 2009.
[4] Amazon Elastic Compute Cloud,, 2010.
[5] ElasticHosts, http:/, 2010.
[6] E. Walker, “The Real Cost of a CPU Hour,” Computer, vol. 42, no. 4, pp. 35-41, Apr. 2009.
[7] M.A. Frumkin and R.F. Van der Wijngaart, “NAS Grid Benchmarks: A Tool for Grid Space Exploration,” J. Cluster Computing, vol. 5, no. 3, pp. 247-255, 2002.
[8] R.S. Montero, R. Moreno-Vozmediano, and I.M. Llorente, “An Elasticity Model for High Throughput Computing Clusters,” to be published in J. Parallel and Distributed Computing, doi: 10.1016/j.jpdc.2010.05.005, 2010.
[9] E. Walker, J. Gardner, V. Litvin, and E. Turner, “Creating Personal Adaptive Clusters for Managing Scientific Jobs in a Distributed Computing Environment,” Proc. IEEE Second Int'l Workshop Challenges of Large Applications in Distributed Environments (CLADE '06).
[10] I. Raicu, Y. Zhao, C. Dumitrescu, I. Foster, and M. Wilde, “Falkon: A Fast and Light-Weight TasK ExecutiON Farmework,” Proc. IEEE/ACM Conf. SuperComputing, 2007.
[11] E. Huedo, R.S. Montero, and I.M. Llorente, “The GridWay Framework for Adaptive Scheduling and Execution on Grids,” Scalable Computing—Practice and Experience, vol. 6, pp. 1-8, 2006.
[12] J. Chase, D. Irwin, L. Grit, J. Moore, and S. Sprenkle, “Dynamic Virtual Clusters in a Grid Site Manager,” Proc. 12th IEEE Symp. High Performance Distributed Computing, 2003.
[13] P. Ruth, P. McGachey, and D. Xu, “VioCluster: Virtualization for Dynamic Computational Domains,” Proc. IEEE Int'l Conf. Cluster Computing, 2005.
[14] I. Foster, T. Freeman, K. Keahey, D. Scheftner, B. Sotomayor, and X. Zhang, “Virtual Clusters for Grid Communities,” Proc. Sixth IEEE Int'l Symp. Cluster Computing and the Grid, 2006.
[15] M. Murphy, B. Kagey, M. Fenn, and S. Goasguen, “Dynamic Provisioning of Virtual Organization Clusters,” Proc. Ninth IEEE Int'l Symp. Cluster Computing and the Grid, 2009.
[16] J. Fronckowiak, “Auto-Scaling Web Sites Using Amazon EC2 and Scalr,” Amazon EC2 Articles and Tutorials, 2008.
[17] A. Aboulnaga, K. Salem, A. Soror, U. Minhas, P. Kokosielis, and S. Kamath, “Deploying Database Appliances in the Cloud,” Bull. of the IEEE Computer Soc. Technical Committee on Data Eng., vol. 32, no. 1, pp. 13-20, 2009.
[18] A. Azeez, Autoscaling Axis2 Web Services on Amazon EC2: ApacheCon Europe, 2009.
[19] K. Keahey, M. Tsugawa, A. Matsunaga, and J. Fortes, “Sky Computing,” IEEE Internet Computing vol. 13, no. 5, pp. 43-51, Sept./Oct. 2009.
46 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool