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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiangyu Lin Wu, C.Q. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of Memphis, Memphis, TN, USA (Xiangyu Lin; Wu, C.Q.) |
| Abstract | Next-generation e-Science features large-scale, compute-intensive workflows of many computing modules that are typically executed in a distributed manner. With the recent emergence of cloud computing and the rapid deployment of cloud infrastructures, an increasing number of scientific workflows have been shifted or are in active transition to cloud environments. As cloud computing makes computing a utility, scientists across different application domains are facing the same challenge of reducing financial cost in addition to meeting the traditional goal of performance optimization. We construct analytical models to quantify the network performance of scientific workflows using cloud-based computing resources, and formulate a task scheduling problem to minimize the workflow end-to-end delay under a user-specified financial constraint. We rigorously prove that the proposed problem is not only NP-complete but also non-approximable. We design a heuristic solution to this problem, and illustrate its performance superiority over existing methods through extensive simulations and real-life workflow experiments based on proof-of-concept implementation and deployment in a local cloud test bed. |
| Starting Page | 90 |
| Ending Page | 99 |
| File Size | 887376 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769551173 |
| ISSN | 01903918 |
| DOI | 10.1109/ICPP.2013.18 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-01 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Schedules Data transfer Delays Cloud computing Virtual machining Processor scheduling Computational modeling cloud computing scientific workflows workflow scheduling |
| Content Type | Text |
| Resource Type | Article |
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