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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Juve, G. Deelman, E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA (Juve, G.; Deelman, E.) |
| Abstract | Scientists in many fields are developing large-scale 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. |
| Starting Page | 608 |
| Ending Page | 613 |
| File Size | 215155 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424433803 |
| DOI | 10.1109/eScience.2008.160 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Runtime Costs Processor scheduling Aggregates Grid computing Virtual machining Large-scale systems Resource management Usability Delay scientific workflows |
| Content Type | Text |
| Resource Type | Article |
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