Abstract
A typical grid application requires several processors for execution that may not be fulfilled by single cluster at times. Co-allocation is the concept of aggregating computing resources from more than one cluster to facilitate application execution. It poses great difficulty in implementing as these resources are distributed and managed locally. In this paper, we propose a metascheduling framework that achieves co-allocation using the concept of virtualization. Our approach differs from earlier ones as we create virtual machines to meet the requirements of application thereby utilizing the resources to the fullest possible extent while preserving their autonomy. We used Deviation Based Resource Scheduling algorithm to initiate SLA negotiation with other resources for participating in resource co-allocation. It also supports SLA monitoring and enforcement. Our preliminary results show that this approach achieves greater throughput against conventional scheduling.
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References
Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, Open Grid Service Infrastructure WG, Global Grid Forum (2002)
Freeman, T., Keahey, K.: Flying Low: Simple Leases with Workspace Pilot. In: Luque, E., Margalef, T., BenÃtez, D. (eds.) Euro-Par 2008. LNCS, vol. 5168, pp. 499–509. Springer, Heidelberg (2008)
Keahey, K., Foster, I., Freeman, T., Zhang, X., Galron, D.: Virtual Workspaces in the Grid. In: Cunha, J.C., Medeiros, P.D. (eds.) Euro-Par 2005. LNCS, vol. 3648, pp. 421–431. Springer, Heidelberg (2005)
Keahey, K., Foster, I., Freeman, T., Zhang, X.: Virtual Workspaces: Achieving Quality of Service and Quality of Life in the Grid. Scientific Programming Journal (2005)
Freeman, T., et al.: Division of Labor: Tools for Growing and Scaling Grids. In: SciDAC 2005 Conference, Boston, MA (June 2005)
Zhang, X., Foster, I., Freeman, T., Keahey, K., Scheftner, D., Sotomayor, B.: Virtual Clusters for Grid Communities. In: CCGRID 2006, Singapore (2006)
Sotomayor, B., et al.: A Resource Management Model for VM-Based Virtual Workspaces, Masters paper, University of Chicago (February 2007)
Rodrigo, et al.: Grid Job Scheduling using Route with Genetic Algorithm Support. Journal of Telecommunications, 147–160 (May 2008)
Thamarai Selvi, S., et al.: Service Level Agreement based Grid Scheduling. In: IEEE International Conference on Web Services (2008)
Thamarai Selvi, S., et al.: GSMA based Automated Negotiation Model for Grid Scheduling. In: IEEE International Conference on Services Computing (2008)
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Somasundaram, T.S. et al. (2009). Achieving Co-allocation through Virtualization in Grid Environment. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_22
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DOI: https://doi.org/10.1007/978-3-642-01671-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01670-7
Online ISBN: 978-3-642-01671-4
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