Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

MS Aslanpour, SS Gill, AN Toosi - Internet of Things, 2020 - Elsevier
Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …

Symbiotic organisms search algorithm: theory, recent advances and applications

AE Ezugwu, D Prayogo - Expert Systems with Applications, 2019 - Elsevier
The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …

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

I Attiya, M Abd Elaziz, S Xiong - 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 …

An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing

M Abd Elaziz, I Attiya - Artificial Intelligence Review, 2021 - Springer
In cloud computing, task scheduling plays a major role and the efficient schedule of tasks
can increase the cloud system efficiency. To successfully meet the dynamic requirements of …

Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach

I Behera, S Sobhanayak - Journal of Parallel and Distributed Computing, 2024 - Elsevier
Cloud computing, a technology providing flexible and scalable computing resources, faces a
critical challenge in task scheduling, directly impacting system performance and customer …

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

SHH Madni, MS Abd Latiff, M Abdullahi… - PloS one, 2017 - journals.plos.org
Cloud computing infrastructure is suitable for meeting computational needs of large task
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …

Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

SHH Madni, MSA Latiff, Y Coulibaly, SM Abdulhamid - cluster computing, 2017 - Springer
There are two actors in cloud computing environment cloud providers and cloud users. On
one hand cloud providers hold enormous computing resources in the cloud large data …

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 …

A multi-objective optimal task scheduling in cloud environment using cuckoo particle swarm optimization

T Prem Jacob, K Pradeep - Wireless Personal Communications, 2019 - Springer
In cloud computing, varied demands are placed on the constantly changing resources. The
task scheduling place very vital role in cloud computing environments, this scheduling …

Boosting k-means clustering with symbiotic organisms search for automatic clustering problems

AM Ikotun, AE Ezugwu - PLoS One, 2022 - journals.plos.org
Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlapping clusters where each …