Race-to-sleep+ content caching+ display caching: A recipe for energy-efficient video streaming on handhelds

H Zhang, PV Rengasamy, S Zhao… - Proceedings of the 50th …, 2017 - dl.acm.org
Video streaming has become the most common application in handhelds and this trend is
expected to grow in future to account for about 75% of all mobile data traffic by 2021. Thus …

Double-Q learning-based DVFS for multi-core real-time systems

H Huang, M Lin, Q Zhang - … on Internet of Things (iThings) and …, 2017 - ieeexplore.ieee.org
The Q-learning based DVFS selection algorithm has been used to lower energy
consumption for system-level power management. However, this algorithm normally suffers …

Critics critiquing criticality in mobile apps

PV Rengasamy, H Zhang, S Zhao… - 2018 51st Annual …, 2018 - ieeexplore.ieee.org
In this paper, we conduct a systematic analysis to show that existing CPU optimizations
targeting scientific/server workloads are not always well suited for mobile apps. In particular …

Floss: Flow sensitive scheduling on mobile platforms

H Zhang, PV Rengasamy, NC Nachiappan… - Proceedings of the 55th …, 2018 - dl.acm.org
Today's mobile platforms have grown in sophistication to run a wide variety of frame-based
applications. To deliver better QoS and energy efficiency, these applications utilize multi …

[PDF][PDF] Energy-efficient and power-constrained techniques for exascale computing

S Labasan - Semanticscholar: Seattle, WA, USA, 2016 - cs.uoregon.edu
The future of computing will be driven by constraints on power consumption. Achieving an
exaflop will be limited to no more than 20 MW of power, forcing co-design innovations in …

Optimizing Video Processing for Next-Generation Mobile Platforms

H Zhang - 2020 - search.proquest.com
Video has become one of the most dominant applications in the mobile and Internet-of-
Things (IoT) platforms. Video applications cover numerous kinds of emerging applications …