Job scheduling in cloud computing using a modified harris hawks optimization and simulated annealing algorithm

I Attiya, M Abd Elaziz, S **ong - Computational intelligence and …, 2020 - Wiley Online Library
In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …

Task scheduling in a cloud computing environment using HGPSO algorithm

AM Senthil Kumar, M Venkatesan - Cluster Computing, 2019 - Springer
Cloud computing delivers computing resources like software and hardware as a service to
the users through a network. The main idea of cloud computing is to share the tremendous …

[PDF][PDF] Load balancing optimization based on deep learning approach in cloud environment

A Kaur, B Kaur, P Singh, MS Devgan… - International Journal of …, 2020 - researchgate.net
Load balancing is a significant aspect of cloud computing which is essential for identical
load sharing among resources like servers, network interfaces, hard drives (storage) and …

A recent review and a taxonomy for multimedia application in Mobile cloud computing based energy efficient transmission

N Parajuli, A Alsadoon, PWC Prasad, RS Ali… - Multimedia Tools and …, 2020 - Springer
The mobile devices have entered the race of deploying high tech to the users but inherit a
defect of limited battery storage. With the limitationof battery capacity, energy efficiency has …

Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm

N Jagadish Kumar… - Journal of Intelligent & …, 2023 - content.iospress.com
In a cloud computing system, resources can be accessed at a minimal cost whenever users
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …

Resource and cost aware glowworm mapreduce optimization based big data processing in geo distributed data center

S Nithyanantham, G Singaravel - Wireless Personal Communications, 2021 - Springer
Handling large data in geographically distributed information centers with resource and cost
optimization is a key challenge. With several approaches being designed, handling a large …

Multi-Objective Task Scheduling in Cloud Environments using Dynamic Velocity-Adaptive Particle Swarm Optimization

R Kumar, M Vardhan - … ) on Smart Computing for Innovation and …, 2024 - ieeexplore.ieee.org
In the realm of cloud computing, tackling the multi-objective task scheduling problem means
finding the best way to assign tasks to virtual machines, taking into account conflicting goals …

Optimizing Load Balancing using Deep Learning in a Cloud Environment

C Dastagiraiah, VK Reddy, KP Rani… - … on Computing for …, 2024 - ieeexplore.ieee.org
In the context of cloud computing, this research emphasizes how deep learning methods
have been used into load balancing. Traditionally, load balancing methods have been …

Optimization of task scheduling in cloud computing using the RAO-3 algorithm

AR Fayed, NEM Khalifa, MHN Taha, A Kotb - The International Conference …, 2023 - Springer
Cloud computing provides computer resources such as hardware and software as a service
to consumers over a network. The primary idea of cloud computing is to distribute massive …

Optimized mechanism for allocating resources in a cloud environment using frog and crow optimization algorithm

NJ Kumar, D Dhinakaran, SMU Sankar… - Advances in …, 2024 - taylorfrancis.com
Cloud computing resource allocation is a process of Allocating and managing computer
resources, such as virtual machines, storage, network bandwidth, and other computing …