A taxonomy and survey of power models and power modeling for cloud servers

W Lin, F Shi, W Wu, K Li, G Wu… - ACM Computing Surveys …, 2020 - dl.acm.org
Due to the increasing demand of cloud resources, the ever-increasing number and scale of
cloud data centers make their massive power consumption a prominent issue today …

An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments

Z Zhou, F Li, H Zhu, H Xie, JH Abawajy… - Neural Computing and …, 2020 - Springer
Cloud computing is an emerging distributed system that provides flexible and dynamically
scalable computing resources for use at low cost. Task scheduling in cloud computing …

AFED-EF: An energy-efficient VM allocation algorithm for IoT applications in a cloud data center

Z Zhou, M Shojafar, M Alazab… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cloud Data Centers (CDCs) have become a vital computing infrastructure for enterprises.
However, CDCs consume substantial energy due to the increased demand for computing …

A survey of prediction and classification techniques in multicore processor systems

C Ababei, MG Moghaddam - IEEE Transactions on Parallel …, 2018 - ieeexplore.ieee.org
In multicore processor systems, being able to accurately predict the future provides new
optimization opportunities, which otherwise could not be exploited. For example, an oracle …

Characteristics of co-allocated online services and batch jobs in internet data centers: a case study from Alibaba cloud

C Jiang, G Han, J Lin, G Jia, W Shi, J Wan - IEEE Access, 2019 - ieeexplore.ieee.org
In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …

A comparative study of methods for measurement of energy of computing

M Fahad, A Shahid, RR Manumachu, A Lastovetsky - Energies, 2019 - mdpi.com
Energy of computing is a serious environmental concern and mitigating it is an important
technological challenge. Accurate measurement of energy consumption during an …

ECMS: An edge intelligent energy efficient model in mobile edge computing

Z Zhou, M Shojafar, J Abawajy, H Yin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing popularity of mobile edge computing (MEC) for processing intensive and
delay sensitive IoT applications, the problem of high energy consumption of MEC has …

IECL: an intelligent energy consumption model for cloud manufacturing

Z Zhou, M Shojafar, M Alazab… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The high computational capability provided by a data center makes it possible to solve
complex manufacturing issues and carry out large-scale collaborative cloud manufacturing …

[HTML][HTML] An energy and carbon-aware algorithm for renewable energy usage maximization in distributed cloud data centers

D Zhao, J Zhou - Journal of Parallel and Distributed Computing, 2022 - Elsevier
The vigorous development and the increasing popularity of cloud computing highlight the
necessity of reducing data center energy consumption and the environmental impact of …

Multi-objective VM consolidation based on thresholds and ant colony system in cloud computing

H Xiao, Z Hu, K Li - IEEE Access, 2019 - ieeexplore.ieee.org
With the large-scale deployment of cloud datacenters, high energy consumption and serious
service level agreement (SLA) violations in datacenters have become an increasingly urgent …