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Reference Number EP/P003915/1
Title SchedUling on heterogeneous Mobile Multicores based on quality of ExpeRience
Status Completed
Energy Categories ENERGY EFFICIENCY(Residential and commercial) 10%;
NOT ENERGY RELATED 90%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 85%;
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 15%;
Principal Investigator Dr H Leather
No email address given
Sch of Informatics
University of Edinburgh
Award Type Standard
Funding Source EPSRC
Start Date 31 December 2016
End Date 30 December 2018
Duration 24 months
Total Grant Value £101,027
Industrial Sectors Information Technologies; Communications
Region Scotland
Programme NC : ICT
 
Investigators Principal Investigator Dr H Leather , Sch of Informatics, University of Edinburgh (100.000%)
  Industrial Collaborator Project Contact , Arm Holdings (0.000%)
Project Contact , Microsoft Corporation (USA) (0.000%)
Project Contact , Codeplay Software Ltd (0.000%)
Project Contact , Advanced Micro Devices, Inc. (AMD), USA (0.000%)
Project Contact , Bell Labs Ireland (0.000%)
Project Contact , Critical Blue Ltd (0.000%)
Web Site
Objectives
Abstract Users want mobile devices that appear fast and responsive, but at the same time have long lasting batteries and do not overheat. Achieving both of these at once is difficult. The workloads employed to evaluate mobile optimisations are rarely representative of real mobile applications and are oblivious to user perception, focussing only on performance. As a result hardware and software designers' decisions do not respect the user's Quality of Experience (QoE). The device either runs faster than necessary for optimal QoE, wasting energy, or the device runs too slowly, spoiling QoE. SUMMER will develop the first framework to record, replay, and analyse mobile workloads that represent and measure real user experience. Our work will expose for the first time the real Pareto trade-off between the user's QoE and energy consumption. The results of this project will permit others, from computer architects up to library developers, to make their design decisions with QoE as their optimisation target. To show the power of this new approach, we will design the first energy efficient operating system scheduler for heterogeneous mobile processors which takes QoE into account. With heterogeneous mobile processors just now entering the market, a scheduler able to use them optimally is urgently needed. We expect our scheduler to be at least 50% more energy efficient on average than the standard Linux scheduler on an ARM BIG.LITTLE system
Publications (none)
Final Report (none)
Added to Database 12/02/19