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Efficient virtual machine allocation and optimization of response time in cloud delivery network

Shah, Deep (2019) Efficient virtual machine allocation and optimization of response time in cloud delivery network. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud Computing is one of the most widely used domain by various researchers for testing and simulating their theory and research projects. The three main cloud services are Infrastructure-as-a-Service (IaaS), Platform-as-a-service (PaaS) and Software-as-a-Service (SaaS). But with the recent growth of cloud there are many more new ways in which the different types of applications can be developed and deployed by the means of virtualization, along with how the different services can be provided to the end users. This growing advent has the introduction to Cloud Delivery Network, which is different than the traditional virtual Content Delivery Network. This research project proposes a novel framework for Cloud Delivery Networks (CDNs). The novel framework based on CDNs provides the cloud content delivery services as customized and required by the customers/users. The cloud can be a public, private or hybrid. The aim is to share the virtual machines (VMs) in Infrastructure-as-a-Service in cloud-based CDNs, keeping the SLA intact. This framework also allows the VM capabilities for scale up and scale down as per the dynamic changes of resources required by the clients. For this, we provide the system architecture and relevant operations for the CDNs and evaluate the performance based on a simulation and compare it to the top existing techniques widely used in the current data centers around the globe.

Item Type: Thesis (Masters)
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
Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Dan English
Date Deposited: 09 Jun 2020 09:06
Last Modified: 09 Jun 2020 09:06
URI: http://norma.ncirl.ie/id/eprint/4248

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