Correlation based Empirical Model for Estimating CPU Availability for Multi-Core Processor in a Computer Grid
Uloženo v:
| Vydáno v: | Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) (2018), p. 3 |
|---|---|
| Hlavní autor: | |
| Další autoři: | , |
| Vydáno: |
The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
|
| Témata: | |
| On-line přístup: | Citation/Abstract Full Text Full Text - PDF |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2140026663 | ||
| 003 | UK-CbPIL | ||
| 035 | |a 2140026663 | ||
| 045 | 2 | |b d20180101 |b d20181231 | |
| 084 | |a 184247 |2 nlm | ||
| 100 | 1 | |a Hasan, Khondker S |u Department of Computing Sciences University of Houston - Clear Lake Houston, TX, USA | |
| 245 | 1 | |a Correlation based Empirical Model for Estimating CPU Availability for Multi-Core Processor in a Computer Grid | |
| 260 | |b The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) |c 2018 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a Techniques for estimating and predicting the availability of CPU resources for a task while executing in a singleand multi-core systems are introduced. These predictions have a significant effect in areas such as dynamic load balancing, scalability analysis, distributed task queue scheduling, and others. Analytical models proposed in this paper is useful for predicting the availability of CPU resources while executing a new task. The model can predict the allocation of CPU for a new task without prior knowledge of the run queue and system state. To validate the introduced prediction models, a dynamic monitoring tool (simulator) is developed. This real-time monitoring utility is responsible for measuring states and availability of resources based upon receiving resource request from client program. Extensive experimental studies with real-world benchmark programs and statistical analysis are performed to measure the accuracy of models. The performance of introduced monitor tool is evaluated as well while extracting resource availability data from the computer grid. | |
| 653 | |a International conferences | ||
| 653 | |a Scheduling | ||
| 653 | |a Model accuracy | ||
| 653 | |a Task scheduling | ||
| 653 | |a Dynamic loads | ||
| 653 | |a Computer science | ||
| 653 | |a Stress concentration | ||
| 653 | |a Microprocessors | ||
| 653 | |a Queues | ||
| 653 | |a Load distribution (forces) | ||
| 653 | |a Computer engineering | ||
| 653 | |a Mathematical models | ||
| 653 | |a Availability | ||
| 653 | |a Empirical analysis | ||
| 653 | |a Monitoring | ||
| 653 | |a Time series | ||
| 653 | |a Workloads | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Estimation | ||
| 653 | |a Computer simulation | ||
| 653 | |a Distributed processing | ||
| 653 | |a Linux | ||
| 653 | |a Central processing units--CPUs | ||
| 653 | |a Prediction models | ||
| 700 | 1 | |a Rob, Mohammad A |u Management Information System University of Houston - Clear Lake Houston, TX, USA | |
| 700 | 1 | |a Chatterjee, Amlan |u Department of Computer Science California State University, Dominguez Hills, CA, USA | |
| 773 | 0 | |t Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) |g (2018), p. 3 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2140026663/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2140026663/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2140026663/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |