Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions

B Jamil, H Ijaz, M Shojafar, K Munir… - ACM Computing Surveys …, 2022 - dl.acm.org
The Internet of Everything paradigm is being rapidly adopted in develo** applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …

Issues and challenges of load balancing techniques in cloud computing: A survey

P Kumar, R Kumar - ACM computing surveys (CSUR), 2019 - dl.acm.org
With the growth in computing technologies, cloud computing has added a new paradigm to
user services that allows accessing Information Technology services on the basis of pay-per …

[HTML][HTML] Dynamic load balancing techniques in the IoT: A review

D Kanellopoulos, VK Sharma - Symmetry, 2022 - mdpi.com
The Internet of things (IoT) extends the Internet space by allowing smart things to sense
and/or interact with the physical environment and communicate with other physical objects …

SG-PBFS: Shortest gap-priority based fair scheduling technique for job scheduling in cloud environment

SA Murad, ZRM Azmi, AJM Muzahid… - Future Generation …, 2024 - Elsevier
Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …

Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective

W Liu, Y Yan, Y Sun, H Mao, M Cheng, P Wang, Z Ding - Applied Energy, 2023 - Elsevier
As the digitalization of the economy and society accelerates, the enormous and fast-growing
energy consumption of data centers is becoming a global concern. With the unique power …

An improved task allocation scheme in serverless computing using gray wolf Optimization (GWO) based reinforcement learning (RIL) approach

N Yuvaraj, T Karthikeyan, K Praghash - Wireless Personal …, 2021 - Springer
Serverless computing offers a wide variety of event-driven integrations and cloud services,
easy development and implementation frameworks, and complex balancing and control of …

DRALBA: Dynamic and resource aware load balanced scheduling approach for cloud computing

S Nabi, M Ibrahim, JM Jimenez - Ieee Access, 2021 - ieeexplore.ieee.org
For the last few years, Cloud computing has been considered an attractive high-
performance computing platform for individuals as well as organizations. The Cloud service …

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

A Ullah, NM Nawi, S Ouhame - Artificial intelligence review, 2022 - Springer
Cloud computing is new technology that has considerably changed human life at different
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …

[HTML][HTML] Enhanced round-robin algorithm in the cloud computing environment for optimal task scheduling

F Alhaidari, TZ Balharith - Computers, 2021 - mdpi.com
Recently, there has been significant growth in the popularity of cloud computing systems.
One of the main issues in building cloud computing systems is task scheduling. It plays a …