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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Estrada, T. Taufer, M. Reed, K. |
| Copyright Year | 2009 |
| Abstract | Volunteer Computing (VC) projects harness the power of computers owned by volunteers across the Internet to perform hundreds of thousands of independent jobs. In VC projects, the path leading from the generation of jobs to the validation of the job results is characterized by delays hidden in the job lifespan, i.e., distribution delay,in-progress delay, and validation delay. These delays are difficult to estimate because of the dynamic behavior and heterogeneity of VC resources. A wrong estimation of these delays can cause the loss of project throughput and job latency in VC projects. In this paper, we evaluate the accuracy of several probabilistic methods to model the upper time bounds of these delays. We show how our selected models predict up-and-down trends in traces from existing VC projects. The use of our models provides valuable insights on selecting project deadlines and taking scheduling decisions. By accurately predicting job lifespan delays, our models lead to more efficient resource use, higher project throughput, and lower job latency in VC projects. |
| Starting Page | 331 |
| Ending Page | 338 |
| File Size | 763624 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424439355 |
| DOI | 10.1109/CCGRID.2009.69 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Virtual colonoscopy Delay estimation Predictive models Character generation Throughput Grid computing Delay effects Life estimation Scheduling Internet modeling lifespan volunteer computing BOINC |
| Content Type | Text |
| Resource Type | Article |
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