Academic Journal
Performance Prediction with Skeletons
| العنوان: | Performance Prediction with Skeletons |
|---|---|
| المؤلفون: | Sukhdeep Sodhi, Jaspal Subhlok, Qiang Xu |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.cs.uh.edu/~jaspal/papers/08clustercomputing.pdf. |
| المجموعة: | CiteSeerX |
| الوصف: | The performance skeleton of an application is a short running program whose performance in any scenario reflects the performance of the application it represents. Specifically, the execution time of the performance skeleton is a small fixed fraction of the execution time of the corresponding application in any execution environment. Such a skeleton can be employed to quickly estimate the performance of a large application under existing network and node sharing. This paper presents a framework for automatic construction of performance skeletons of a specified execution time and evaluates their use in performance prediction with CPU and network sharing. The approach is based on capturing the execution behavior of an application and automatically generating a synthetic skeleton program that reflects that execution behavior. The paper demonstrates that performance skeletons running for a few seconds can predict the application execution time fairly accurately. Relationship of skeleton execution time, application characteristics, and nature of resource sharing, to accuracy of skeleton based performance prediction, is analyzed in detail. The goal of this research is accurate performance estimation in heterogeneous and shared computational grids. 1 |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4054; http://www.cs.uh.edu/~jaspal/papers/08clustercomputing.pdf |
| الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4054 http://www.cs.uh.edu/~jaspal/papers/08clustercomputing.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.26060F92 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |