Outlier detection: Methods, models, and classification

A Boukerche, L Zheng, O Alfandi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

Multi-objective task and workflow scheduling approaches in cloud computing: a comprehensive review

M Hosseinzadeh, MY Ghafour, HK Hama, B Vo… - Journal of Grid …, 2020 - Springer
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …

Multi-objective computation sharing in energy and delay constrained mobile edge computing environments

A Bozorgchenani, F Mashhadi, D Tarchi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload
their computations to multiple edge servers that provide additional computing resources …

A novel multi-objective CR-PSO task scheduling algorithm with deadline constraint in cloud computing

K Dubey, SC Sharma - Sustainable Computing: Informatics and Systems, 2021 - Elsevier
In cloud computing, efficient task scheduling espouses many challenges. To schedule the
multiple cloudlets with deadline constraints on hybrid cloud resources while meeting the …

Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks

A Waheed, MA Shah, SM Mohsin, A Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems

A Madani, A Engelbrecht, B Ombuki-Berman - Swarm and Evolutionary …, 2023 - Elsevier
Many problems that are encountered in real-life applications consist of two or three
conflicting objectives and many decision variables. Multi-guide particle swarm optimization …

Computation offloading for vehicular environments: A survey

AB De Souza, PAL Rego, T Carneiro… - IEEE …, 2020 - ieeexplore.ieee.org
With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment

M Abdullahi, MA Ngadi, SI Dishing, BI Ahmad - Journal of Network and …, 2019 - Elsevier
Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

Data dissemination protocol for VANETs to optimize the routing path using hybrid particle swarm optimization with sequential variable neighbourhood search

SH Gopalan, J Ashok, A Manikandan… - Telecommunication …, 2023 - Springer
Abstract A vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET)
which employs wireless routers that are inside every vehicle to operate as a node. The …