Recent advances in harris hawks optimization: A comparative study and applications

AG Hussien, L Abualigah, R Abu Zitar, FA Hashim… - Electronics, 2022 - mdpi.com
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

An improved particle swarm optimization algorithm for task scheduling in cloud computing

P Pirozmand, H Jalalinejad, AAR Hosseinabadi… - Journal of Ambient …, 2023 - Springer
In the context of cloud computing, the task scheduling issue has an immediate effect on
service quality. Task scheduling is the process of assigning work to available resources …

[HTML][HTML] Multi Objective Trust aware task scheduling algorithm in cloud computing using Whale Optimization

S Mangalampalli, GR Karri, U Kose - … of King Saud University-Computer and …, 2023 - Elsevier
Task Scheduling is an enormous challenge in cloud computing model as to map diverse
tasks arises from various sources there should be an efficient scheduling mechanism which …

Eeoa: cost and energy efficient task scheduling in a cloud-fog framework

MS Kumar, GR Karri - Sensors, 2023 - mdpi.com
Cloud-fog computing is a wide range of service environments created to provide quick,
flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has …

Aquila optimizer based PSO swarm intelligence for IoT task scheduling application in cloud computing

L Abualigah, MA Elaziz, N Khodadadi… - … meta-heuristics and …, 2022 - Springer
This paper introduces IAO, a new swarm intelligence approach for addressing the challenge
of task scheduling in cloud computing. The proposed method uses conventional Aquila …

A Hybrid Gravitational Emulation Local Search‐Based Algorithm for Task Scheduling in Cloud Computing

SP Praveen, H Ghasempoor… - Mathematical …, 2023 - Wiley Online Library
The flexibility of cloud computing to provide a dynamic and adaptable infrastructure in the
context of information technology and service quality has made it one of the most …

DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing

S Mangalampalli, GR Karri, M Kumar, OI Khalaf… - Multimedia Tools and …, 2024 - Springer
Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …

Enhancement in performance of cloud computing task scheduling using optimization strategies

R Sandhu, M Faiz, H Kaur, A Srivastava, V Narayan - Cluster Computing, 2024 - Springer
Providing scalable and affordable computing resources has become possible thanks to the
development of the cloud computing concept. In cloud environments, efficient task …

A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing

R Jain, N Sharma - Cluster Computing, 2023 - Springer
Software as a service (SaaS) provider hires resources from an Infrastructure as a Service
(IaaS) provider and provides these sharable resources to user's applications on lease …

A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems

AN Malti, M Hakem, B Benmammar - Cluster Computing, 2024 - Springer
Nowadays, cloud computing is widely used in various fields and is booming day by day with
different services offered to users according to their needs and contracts. However, this has …