Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing

M Hussain, LF Wei, A Lakhan, S Wali, S Ali… - … Informatics and Systems, 2021 - Elsevier
In virtualized cloud computing systems, energy reduction is a serious concern since it can
offer many major advantages, such as reducing running costs, increasing system efficiency …

MCH-EOR: Multi-objective cluster head based energy-aware optimized routing algorithm in wireless sensor networks

D Mehta, S Saxena - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Abstract Hierarchical Wireless Sensor Networks (WSNs) have got vital application domains
in modern era especially in monitoring and tracking of events, and without human …

Energy efficient clustering with disease diagnosis model for IoT based sustainable healthcare systems

R Bharathi, T Abirami, S Dhanasekaran… - … Informatics and Systems, 2020 - Elsevier
Sustainable energy efficient networking models are needed to satisfy the increasing
demands of the information and communication technologies (ICT) applications like …

Temperature-constrained reliability optimization of industrial cyber-physical systems using machine learning and feedback control

J Zhou, L Li, A Vajdi, X Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As the backbone of Industry 4.0, industrial cyber-physical systems (ICPSs) that are
geographically dispersed, federated, cooperative, and security-critical systems become the …

Energy efficient scheme for better connectivity in sustainable mobile wireless sensor networks

S Sachan, R Sharma, A Sehgal - Sustainable Computing: Informatics and …, 2021 - Elsevier
The extreme issues related to energy consumption and connectivity within the network in
mobile wireless sensor network indulges so many researchers to find out the optimal …

Cloudde: A heterogeneous differential evolution algorithm and its distributed cloud version

ZH Zhan, XF Liu, H Zhang, Z Yu, J Weng… - … on Parallel and …, 2016 - ieeexplore.ieee.org
Existing differential evolution (DE) algorithms often face two challenges. The first is that the
optimization performance is significantly affected by the ad hoc configurations of operators …

Energy-and performance-aware load-balancing in vehicular fog computing

AR Hameed, S ul Islam, I Ahmad, K Munir - … Computing: Informatics and …, 2021 - Elsevier
An IoT-enabled cluster of automobiles provides a rich source of computational resources, in
addition to facilitating efficient collaboration with vehicle-to-vehicle and vehicle-to …

[HTML][HTML] A comprehensive review of evolutionary algorithms for multiprocessor DAG scheduling

EC da Silva, PHR Gabriel - Computation, 2020 - mdpi.com
The multiprocessor task scheduling problem has received considerable attention over the
last three decades. In this context, a wide range of studies focuses on the design of …

A novel four-tier architecture for delay aware scheduling and load balancing in fog environment

S Sharma, H Saini - Sustainable Computing: Informatics and Systems, 2019 - Elsevier
Fog computing paradigm is located between IoT devices and cloud paradigm that aim is to
minimize the latency in terms of task scheduling and load balancing. To deal with the huge …

An artificial neural network based approach for energy efficient task scheduling in cloud data centers

M Sharma, R Garg - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost
and meets the standard set in green computing. Task scheduling an important problem …