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A New Reliable System For Managing Virtual Cloud Network

Samah Alshathri1,*, Fatma M. Talaat2, Aida A. Nasr3

1 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
2 Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt
3 Faculity of Computers and Informatics, Tanta University, Tanta, Egypt

* Corresponding Author: Samah Alshathri. Email: email

Computers, Materials & Continua 2022, 73(3), 5863-5885. https://doi.org/10.32604/cmc.2022.026547

Abstract

Virtual cloud network (VCN) usage is popular today among large and small organizations due to its safety and money-saving. Moreover, it makes all resources in the company work as one unit. VCN also facilitates sharing of files and applications without effort. However, cloud providers face many issues in managing the VCN on cloud computing including these issues: Power consumption, network failures, and data availability. These issues often occur due to overloaded and unbalanced load tasks. In this paper, we propose a new automatic system to manage VCN for executing the workflow. The new system called Multi-User Hybrid Scheduling (MUSH) can solve running issues and save power during workflow execution. It consists of three phases: Initialization, virtual machine allocation, and task scheduling algorithms. The MUSH system focuses on the execution of the workflow with deadline constraints. Moreover, it considers the utilization of virtual machines. The new system can save makespan and increase the throughput of the execution operation.

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Cite This Article

S. Alshathri, F. M. Talaat and A. A. Nasr, "A new reliable system for managing virtual cloud network," Computers, Materials & Continua, vol. 73, no.3, pp. 5863–5885, 2022.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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