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Deploying OpenStack: Virtual Infrastructure or Dedicated Hardware
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Distributed Systems and Communications Research Group (DISCO))
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (DISCO)
2014 (English)Conference paper (Refereed)
Abstract [en]

Cloud computing is a computing model throughwhich resources such as – infrastructure, applications orsoftware are offered as services to the users. Cloud computingoffers the opportunity of virtualization through deployingmultiple virtual machines (VMs) on single physical machine,which increases resource utilization and reduces powerconsumption. The main benefit of a virtualized technology relieson its on-demand resource allocation strategy and flexiblemanagement. OpenStack is one of the promising open sourcesolutions which offers infrastructure as a service. This papercovers how underlying infrastructure for deployment affects theperformance of OpenStack. The aim is to provide a comparativeview on the performance of OpenStack while deploying it over avirtual environment versus using dedicated hardware. Weconduct three basic tests on both environments to check CPU performance, data transfer rate, and bandwidth. The resultsshow that OpenStack over dedicated hardware performs muchbetter than OpenStack over virtualized environment.

Place, publisher, year, edition, pages
2014.
Keyword [en]
OpenStack; Virtualization;Cloud Computing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kau:diva-35386OAI: oai:DiVA.org:kau-35386DiVA: diva2:795152
Conference
The 38th Annual International Computers, Software and Applications Conference Workshops (COMPSACW 2014) 21-25 Jul Västerås, Sweden
Available from: 2015-03-13 Created: 2015-03-13 Last updated: 2015-07-10Bibliographically approved
In thesis
1. Architectural Evolution of Intelligent Transport Systems (ITS) using Cloud Computing
Open this publication in new window or tab >>Architectural Evolution of Intelligent Transport Systems (ITS) using Cloud Computing
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

With the advent of Smart Cities, Intelligent Transport System (ITS) has become an efficient way of offering an accessible, safe, and sustainable transportation system. Utilizing advances in Information and Communication Technology (ICT), ITS can maximize the capacity of existing transportation system without building new infrastructure. However, in spite of these technical feasibilities and significant performance-cost ratios, the deployment of ITS is limited in the real world because of several challenges associated with its architectural design.

This thesis studies how to design a highly flexible and deployable architecture for ITS, which can utilize the recent technologies such as - cloud computing and the publish/subscribe communication model. In particular, our aim is to offer an ITS infrastructure which provides the opportunity for transport authorities to allocate on-demand computing resources through virtualization technology, and supports a wide range of ITS applications. We propose to use an Infrastructure as a Service (IaaS) model to host large-scale ITS applications for transport authorities in the cloud, which reduces infrastructure cost, improves management flexibility and also ensures better resource utilization. Moreover, we use a publish/subscribe system as a building block for developing a low latency ITS application, which is a promising technology for designing scalable and distributed applications within the ITS domain. Although cloud-based architectures provide the flexibility of adding, removing or moving ITS services within the underlying physical infrastructure, it may be difficult to provide the required quality of service (QoS) which decrease application productivity and customer satisfaction, leading to revenue losses. Therefore, we investigate the impact of service mobility on related QoS in the cloud-based infrastructure. We investigate different strategies to improve performance of a low latency ITS application during service mobility such as utilizing multiple paths to spread network traffic, or deploying recent queue management schemes.

Evaluation results from a private cloud testbed using OpenStack show that our proposed architecture is suitable for hosting ITS applications which have stringent performance requirements in terms of scalability, QoS and latency.

Abstract [en]

Baksidestext:

Intelligent Transport System (ITS) can utilize advances in Information and Communication Technology (ICT) and maximize the capacity of existing transportation systems without building new infrastructure. However, in spite of these technical feasibilities and significant performance-cost ratios, the deployment of ITS is limited in the real world because of several challenges associated with its architectural design.  This thesis studies how to design an efficient deployable architecture for ITS, which can utilize the advantages of cloud computing and the publish/subscribe communication model. In particular, our aim is to offer an ITS infrastructure which provides the opportunity for transport authorities to allocate on-demand computing resources through virtualization technology, and supports a wide range of ITS applications. We propose to use an Infrastructure as a Service (IaaS) model to host large-scale ITS applications, and to use a publish/subscribe system as a building block for developing a low latency ITS application. We investigate different strategies to improve performance of an ITS application during service mobility such as utilizing multiple paths to spread network traffic, or deploying recent queue management schemes.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2015. 24 p.
Series
Karlstad University Studies, ISSN 1403-8099 ; 2015:21
Keyword
ITS, cloud computing, OpenStack, virtualization, asynchronous communication, publish/subscribe system, scalability, distributed architecture, QoS, latency.
National Category
Engineering and Technology
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-35719 (URN)978-91-7063-635-6 (ISBN)
Presentation
2015-05-22, 21A 342, Karlstads universitet, Karlstad, 09:15 (English)
Opponent
Supervisors
Note

Artikel 4 Network Centric Performance Improvement for Live VM Migration finns i avhandlingen som manuskript. Nu publicerat konferenspaper. 

Available from: 2015-04-30 Created: 2015-03-27 Last updated: 2016-09-21Bibliographically approved

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