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 …
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
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …
management and reducing power consumption in cloud computing data centers (DCs) …
Multi-objective computation sharing in energy and delay constrained mobile edge computing environments
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 …
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 …
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 …
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
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …
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 …
conflicting objectives and many decision variables. Multi-guide particle swarm optimization …
Computation offloading for vehicular environments: A survey
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 …
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
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 …
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
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 …
which employs wireless routers that are inside every vehicle to operate as a node. The …