Paper Info
Title
User Experience-Enhanced and Energy-Efficient Task Scheduling on Heterogeneous Multi-Core Mobile Systems
Abstract
Heterogeneous Multi-Core Mobile Systems has been widely used to improve performance. However, it faces with the challenge of tradeoff between energy saving and user experience. ARM big. LITTLE architecture, a heterogeneous computing architecture, is a power-optimization technology. In most big. LITTLE devices, however, it still cannot achieve excellent user experience and higher energy saving. In this paper, we propose an improved task scheduling (UCES-GTS) by introducing the concept of user-centric task on big. LITTLE mobile device. In order to enhance user experience, the response time of user-centric tasks is shortened with reducing slack time of them properly. We then present a detailed algorithm to compute appropriate frequency and allocate the CPU resources to each task. The experimental evaluation results show that our improved global task scheduling model can achieve 17 % and 8 % energy saving average compared with the clustered switching scheduling and the original global task scheduling respectively. And the response time of user-centric tasks can decrease 27 % average, which means excellent user experience.
Year
DOI
Venue
2018
10.1109/PADSW.2018.8645024
2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)
Keywords
Field
DocType
Task analysis,Processor scheduling,Computer architecture,Mobile handsets,Computational modeling,Switches,Energy consumption
User experience design,Task analysis,Computer science,Efficient energy use,Scheduling (computing),Symmetric multiprocessor system,Real-time computing,Mobile device,Least slack time scheduling,Multi-core processor,Distributed computing
Conference
ISSN
ISBN
Citations 
1521-9097
978-1-5386-7308-9
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Yanting Huang100.34
Weichen Liu25017.70
Mengquan Li3123.97
Peng Chen472.14
Lei Yang59212.95
Chunhua Xiao608.45
Yaoyao Ye774.41