Deadline-aware task offloading with partially-observable deep reinforcement learning for multi-access edge computing

H Huang, Q Ye, Y Zhou - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Over the past years, computationally-intensive mobile applications, such as interactive
games and augmented reality, have gained enormous popularity. This phenomenon has …

Energy-credit scheduler: an energy-aware virtual machine scheduler for cloud systems

N Kim, J Cho, E Seo - Future Generation Computer Systems, 2014 - Elsevier
Virtualization facilitates the provision of flexible resources and improves energy efficiency
through the consolidation of virtualized servers into a smaller number of physical servers. As …

A DVFS based energy-efficient tasks scheduling in a data center

S Wang, Z Qian, J Yuan, I You - Ieee Access, 2017 - ieeexplore.ieee.org
With the popularity of cloud computing and high performance computing, the size and the
amount of the datacenter develop rapidly, which also causes the serious challenges on …

Energy efficient task assignment with guaranteed probability satisfying timing constraints for embedded systems

J Niu, C Liu, Y Gao, M Qiu - IEEE Transactions on Parallel and …, 2013 - ieeexplore.ieee.org
The trade-off between system performance and energy efficiency (service time) is critical for
battery-based embedded systems. Most of the previous work focuses on saving energy in a …

A stochastic model for estimating the power consumption of a processor

W Dargie - IEEE Transactions on Computers, 2014 - ieeexplore.ieee.org
Quantitatively estimating the relationship between the workload and the corresponding
power consumption of a multicore processor is an essential step towards achieving energy …

Hybrid DVFS scheduling for real-time systems based on reinforcement learning

FMM ul Islam, M Lin - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Power consumption is one of the most challenging issues in the design of modern
computing systems. In any computational device, processor consumes significant amount of …

Energy-efficient multicore scheduling for hard real-time systems: A survey

SZ Sheikh, MA Pasha - ACM Transactions on Embedded Computing …, 2018 - dl.acm.org
As real-time embedded systems are evolving in scale and complexity, the demand for a
higher performance at a minimum energy consumption has become a necessity …

Energy-and performance-aware scheduling of tasks on parallel and distributed systems

HF Sheikh, H Tan, I Ahmad, S Ranka, P Bv - ACM Journal on Emerging …, 2012 - dl.acm.org
Enabled by high-speed networking in commercial, scientific, and government settings, the
realm of high performance is burgeoning with greater amounts of computational and storage …

A stochastic approach to analysis of energy-aware DVS-enabled cloud datacenters

YN **a, MC Zhou, X Luo, SC Pang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
With the increasing call for green cloud, reducing energy consumption has been an
important requirement for cloud resource providers not only to reduce operating costs, but …

Energy efficient mixed task handling on real-time embedded systems using FreeRTOS

D Ramegowda, M Lin - Journal of Systems Architecture, 2022 - Elsevier
With the increased use of embedded devices in Industrial electronics, like relays, battery life
has gained more and more attention. Modern processors can use Dynamic Voltage …