Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …

J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

Distributed job scheduling based on Swarm Intelligence: A survey

E Pacini, C Mateos, CG Garino - Computers & Electrical Engineering, 2014 - Elsevier
Scientists and engineers need computational power to satisfy the increasing resource
intensive nature of their simulations. For example, running Parameter Sweep Experiments …

Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms

A Ebrahimi, HW Jeon, S Lee, C Wang - Computers & Industrial Engineering, 2020 - Elsevier
Job scheduling and machine layout are interrelated in improving energy consumption (EC)
and productivity measures such as tardiness and represent two important decisions that …

Optimal design of community battery energy storage systems with prosumers owning electric vehicles

SA El-Batawy, WG Morsi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
This paper presents a novel approach that aims to assist a distribution system operator to
intelligently design the community battery energy storage systems considering high …

Hybrid computation offloading for smart home automation in mobile cloud computing

J Zhang, Z Zhou, S Li, L Gan, X Zhang, L Qi… - Personal and Ubiquitous …, 2018 - Springer
Smart home automation enables the users to realize the access control of the in-home
appliances by the mobile devices. With the rapid development of mobile cloud computing …

Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches

S Atta, PRS Mahapatra, A Mukhopadhyay - Computers & Industrial …, 2022 - Elsevier
Abstract The Maximal Covering Location Problem (MCLP) is concerned with the optimal
placement of a fixed number of facilities to cover the maximum number of customers. This …

A discrete particle swarm optimization approach for energy-efficient IoT services placement over fog infrastructures

T Djemai, P Stolf, T Monteil… - 2019 18th international …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) encompasses both large-scale deployed physical infrastructures
and software layers that enable intuitive and transparent creation of applications. This highly …

A load balancing algorithm for resource allocation in cloud computing

S Mousavi, A Mosavi, AR Varkonyi-Koczy - Recent Advances in …, 2018 - Springer
Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process of task scheduling in cloud computing. A poor scheduling policy may …

[PDF][PDF] Dynamic resource allocation in cloud computing

S Mousavi, A Mosavi, AR Varkonyi-Koczy… - Acta Polytechnica …, 2017 - academia.edu
Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process in cloud computing. In order to achieve maximum resource efficiency …

Cloudy GSA for load scheduling in cloud computing

D Chaudhary, B Kumar - Applied Soft Computing, 2018 - Elsevier
Scheduling of load and data plays an important role in the efficient utilization of the
resources from one cloudlet to another cloudlet in the cloud computing environment. Cloud …