COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach

M Zivkovic, N Bacanin, K Venkatachalam… - Sustainable cities and …, 2021 - Elsevier
The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

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 …

云计算环境任务调度方法研究综述.

田倬璟, 黄震春, 张益农 - Journal of Computer Engineering …, 2021 - search.ebscohost.com
随着应用程序计算需求的快速增长, 异构计算资源不断地增多, 任务调度成为云计算领域中重要
的研究问题. 任务调度负责将用户任务匹配给合适的虚拟计算资源, 算法的优劣将直接影响响应 …

Improved harris hawks optimization algorithm for workflow scheduling challenge in cloud–edge environment

M Zivkovic, T Bezdan, I Strumberger, N Bacanin… - Computer networks, big …, 2021 - Springer
Edge computing is a relatively novel technology, which is closely related to the concepts of
the Internet of things and cloud computing. The main purpose of edge computing is to bring …

BIM4D-based scheduling for assembling and lifting in precast-enabled construction

L Huang, R Pradhan, S Dutta, Y Cai - Automation in Construction, 2022 - Elsevier
This research addresses the problem of assembly scheduling in crane-assisted precast
construction while considering issues of building layout interference and optimal crane …

MUVINE: Multi-stage virtual network embedding in cloud data centers using reinforcement learning-based predictions

HK Thakkar, CK Dehury… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
The recent advances in virtualization technology have enabled the sharing of computing
and networking resources of cloud data centers among multiple users. Virtual Network …

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

R Al-Arasi, A Saif - EAI Endorsed Transactions on Cloud Systems, 2020 - eudl.eu
Cloud computing delivers computing resources like software and hardware as a service to
the users through a network. Due to the scale of the modern datacentres and their dynamic …

MOHBA: multi-objective workflow scheduling in cloud computing using hybrid BAT algorithm

S Sobhanayak - Computing, 2023 - Springer
Workflow applications are a popular tool used by scientists to model and run applications on
cloud computing. With the rise of multi-core parallel systems and cloud computing high …

[HTML][HTML] Self adaptive fruit fly algorithm for multiple workflow scheduling in cloud computing environment

A Aggarwal, P Dimri, A Agarwal, A Bhatt - Kybernetes, 2021 - emerald.com
Purpose In general, cloud computing is a model of on-demand business computing that
grants a convenient access to shared configurable resources on the internet. With the …