Name
Title | ||
|---|---|---|
Naïve Bayesian based Temperature and Energy Aware Scheduling of Heterogeneous Processors |
Abstract | ||
|---|---|---|
Directed acyclic graph (DAG) is a popular representation of an application, which includes application characteristics such as task dependencies, task execution time and inter processor communication time. Temperature and Energy aware Dynamic Level Scheduling (TEDLS) algorithm has been shown to minimize energy consumption and processor temperature while executing DAG structured applications in a heterogeneous environment with DVS enabled processors. To improve selection process of ideal processor-speed combination, this paper provides a Naïve Bayesian Classifier (NBC) based scheme. Our result demonstrates an improved energy consumption resulting from lower computational overhead. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IGSC48788.2019.8957178 | 2019 Tenth International Green and Sustainable Computing Conference (IGSC) |
Keywords | DocType | ISBN |
Heterogeneous computing,DVS,DAG,Scheduling,Temperature and Energy aware,TEDLS,Naive Bayesian Classifiers | Conference | 978-1-7281-5417-6 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rashadul Kabir | 1 | 0 | 0.34 |
| Baback A. Izadi | 2 | 22 | 5.65 |