Task Scheduling is a crucial challenge in cloud computing as diversified tasks come rapidly onto cloud console dynamically from heterogeneous resources which consists of different …
M Wang, H Wang, S Qiao, J Chen, Q Xie… - Future Generation …, 2025 - Elsevier
In heterogeneous computing systems, efficient task-scheduling methods are paramount for enhancing computational performance. However, the existing algorithm exhibits certain …
Cloud communication is a combination of distributed computing and parallel computing. One of the biggest challenges in cloud communications is task scheduling, which is difficult …
AHG Ruiz, AAS Pineda, JAC Rocha, SI Martínez… - Expert Systems with …, 2024 - Elsevier
Supercomputing power is one of the fundamental pillars of the digital society, which depends on the accurate scheduling of parallel applications in High-Performance …
F K. Karim, S Ghorashi, S Alkhalaf, S HA Hamza… - PloS one, 2024 - journals.plos.org
As a new computing resources distribution platform, cloud technology greatly influenced society with the conception of on-demand resource usage through virtualization technology …
AY Hamed, MK Elnahary… - International Journal of …, 2023 - researchgate.net
-------------------------------------------------------------------ABSTRACT------------------------------------------- --------------------Cloud computing is now dominant in high-performance distributed …
Cloud computing provides a diverse and adaptable resource pool over the internet, allowing users to tap into various resources as needed. It has been seen as a robust solution to …
JA Liakath, P Krishnadoss, M Nanjappan… - International Journal of …, 2024 - inass.org
Innovations in cloud technology over the recent years have shown tremendous growth. Apart from the need to possess a basic internet connection, another major hiccup for …
JA Murali - Computers, Materials & Continua, 2024 - search.ebscohost.com
Abstract Infrastructure as a Service (IaaS) in cloud computing enables flexible resource distribution over the Internet, but achieving optimal scheduling remains a challenge …