Load balancing in cloud computing–A hierarchical taxonomical classification

S Afzal, G Kavitha - Journal of cloud computing, 2019 - Springer
Load unbalancing problem is a multi-variant, multi-constraint problem that degrades
performance and efficiency of computing resources. Load balancing techniques cater the …

Load balancing in cloud computing environment using the Grey wolf optimization algorithm based on the reliability: performance evaluation

SS Sefati, M Mousavinasab… - The Journal of …, 2022 - Springer
The introduction of cloud computing has brought about significant developments in
information technology. Users can benefit from the multitude of cloud technology services …

A fair, dynamic load balanced task distribution strategy for heterogeneous cloud platforms based on Markov process modeling

S Souravlas, SD Anastasiadou, N Tantalaki… - IEEE …, 2022 - ieeexplore.ieee.org
Load balancing techniques in cloud computing can be applied at three different levels:
Virtual machine load balancing, task load balancing, and resource load balancing. At all …

A comprehensive study of load balancing approaches in the cloud computing environment and a novel fault tolerance approach

MA Shahid, N Islam, MM Alam, MM Su'ud… - Ieee …, 2020 - ieeexplore.ieee.org
The past few years have witnessed the emergence of a novel paradigm called cloud
computing. CC aims to provide computation and resources over the internet via dynamic …

[HTML][HTML] Nature-inspired metaheuristic scheduling algorithms in cloud: A systematic review

SK Bothra, S Singhal - Научно-технический вестник …, 2021 - cyberleninka.ru
Complex huge-scale scientific applications are simplified by workflow to execute in the cloud
environment. The cloud is an emerging concept that effectively executes workflows, but it …

A hybrid model for load balancing in cloud using file type formatting

M Junaid, A Sohail, A Ahmed, A Baz, IA Khan… - IEEE …, 2020 - ieeexplore.ieee.org
Maintaining accuracy in load balancing using metaheuristics is a difficult task even with the
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …

Modeling an optimized approach for load balancing in cloud

M Junaid, A Sohail, RNB Rais, A Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Despite significant infrastructure improvements, cloud computing still faces numerous
challenges in terms of load balancing. Several techniques have been applied in the …

An efficient and accurate nonintrusive load monitoring scheme for power consumption

J He, Z Zhang, L Zhu, Z Zhu, J Liu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Nonintrusive load monitoring (NILM) has attracted tremendous attention owing to its cost
efficiency in electricity and sustainable development. NILM aims at acquiring individual …

Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic

PM Kumar, GC Babu, A Selvaraj, M Raza, AK Luhach… - Soft Computing, 2021 - Springer
A flexible manufacturing system (FMS) is the model used for the system produced in the
manufacturing industry, and it consists of the number of interconnected workstation …

Query optimization mechanisms in the cloud environments: A systematic study

E Azhir, NJ Navimipour… - International Journal …, 2019 - Wiley Online Library
The goal of a query optimizer is to provide an optimal Query Execution Plan (QEP) by
comparing alternative query plans. In a distributed database system over cloud environment …