Exploiting heterogeneity for tail latency and energy efficiency

ME Haque, Y He, S Elnikety, TD Nguyen… - Proceedings of the 50th …, 2017 - dl.acm.org
Interactive service providers have strict requirements on high-percentile (tail) latency to meet
user expectations. If providers meet tail latency targets with less energy, they increase …

STAFF: Online learning with stabilized adaptive forgetting factor and feature selection algorithm

U Gupta, M Babu, R Ayoub, M Kishinevsky… - Proceedings of the 55th …, 2018 - dl.acm.org
Dynamic resource management techniques rely on power consumption and performance
models to optimize the operating frequency and utilization of processing elements, such as …

BUQS: battery-and user-aware QoS scaling for interactive mobile devices

W Lee, R Panda, D Sunwoo, J Joao… - 2018 23rd Asia and …, 2018 - ieeexplore.ieee.org
Battery life has become one of major concerns for mobile user experience. Existing
approaches for balancing device quality-of-service (QoS) and energy often over-or under …

Cloud-guided qos and energy management for mobile interactive web applications

W Lee, D Sunwoo, A Gerstlauer… - 2017 IEEE/ACM 4th …, 2017 - ieeexplore.ieee.org
In mobile interactive web applications, energy-efficient quality-of-service (QoS) scheduling
involves setting a deadline for the best user experience and providing just enough …

Power-Performance Modeling and Adaptive Management of Heterogeneous Mobile Platforms

U Gupta - 2018 - search.proquest.com
Nearly 60% of the world population uses a mobile phone, which is typically powered by a
system-on-chip (SoC). While the mobile platform capabilities range widely, responsiveness …

[图书][B] User-aware Performance and Energy Management for Interactive, Multi-tasking Mobile Systems

W Lee - 2019 - search.proquest.com
Billions of mobile devices aim to satisfy users through fast interaction and long battery life.
To provide high quality-of-service (QoS) to users, the performance of mobile processors has …