Das, Uday Kumar (2021) Resource Scheduling for Infrastructure as a Service(IaaS) in cloud computing. Masters thesis, Dublin, National College of Ireland.
Preview |
PDF (Master of Science)
Download (1MB) | Preview |
Preview |
PDF (Configuration manual)
Download (1MB) | Preview |
Abstract
It is essential to improve user experience and their requirements within SLA limit agreed by cloud providers through resource management. However, both cloud service
providers and cloud consumers alike are looking for a well-organized scheduling system in the cloud. In this paper, we will take a look at the challenges of cloud-based Infrastructure as a Service(IaaS) resource scheduling. And to solve these issues, some scheduling algorithms such as BAT, PSO and FCFS are used with QoS parameters like Makespan, Processing Time, response Time, Execution Time and Throughput. With these parameters, a comparative analysis of scheduling algorithms has been done, so that users can utilize the cloud resources more efficiently and effectively. For comparative analysis 5 different combinations of virtual machines and tasks are used for the simulation in CloudSim tool. With this analysis, successfully found that PSO scheduler performing better compaired to other schedulers.
Item Type: | Thesis (Masters) |
---|---|
Uncontrolled Keywords: | IaaS; Resource Scheduling; cloud computing |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing |
Divisions: | School of Computing > Master of Science in Cloud Computing |
Depositing User: | Tamara Malone |
Date Deposited: | 01 Dec 2022 16:40 |
Last Modified: | 06 Dec 2022 17:54 |
URI: | https://norma.ncirl.ie/id/eprint/5951 |
Actions (login required)
View Item |