Resource provisioning options for large-scale scientific workflows (2008)
| Venue: | In Proceedings of the 3rd International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES), in MAKING WORKFLOW APPLICATIONS WORK 13 with the 4th IEEE International Conference on e-Science (e-Science 2008 |
| Citations: | 5 - 2 self |
BibTeX
@INPROCEEDINGS{Juve08resourceprovisioning,
author = {Gideon Juve and Ewa Deelman},
title = {Resource provisioning options for large-scale scientific workflows},
booktitle = {In Proceedings of the 3rd International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES), in MAKING WORKFLOW APPLICATIONS WORK 13 with the 4th IEEE International Conference on e-Science (e-Science 2008},
year = {2008}
}
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Abstract
Scientists in many fields are developing largescale workflows containing millions of tasks and requiring thousands of hours of aggregate computation time. Acquiring the computational resources to execute these workflows poses many challenges for application developers. Although the grid provides ready access to large pools of computational resources, the traditional approach to accessing these resources suffers from many overheads that lead to poor performance. In this paper we examine several techniques based on resource provisioning that may be used to reduce these overheads. These techniques include: advance reservations, multi-level scheduling, and infrastructure as a service (IaaS). We explain the advantages and disadvantages of these techniques in terms of cost, performance and usability. 1.
