The advent of 5th generation of mobile networks (5G) will introduce some new challenges for the transport network. Different strategies can be employed by the network providers to address these challenges with the aim to achieve an efficient utilization of network resources. The most feasible option to achieve this goal is to introduce intelligence in the transport infrastructure by designing a flexible and programmable transport network. Network function virtualization (NFV) and dynamic resource sharing (DRS) are two possible techniques for realizing a flexible transport network. NFV allows to dynamically push network functions to different locations in the network, while DRS allows for sharing transport resources in a flexible manner. Both of these strategies can be realized by employing a programmable control framework based on software defined networking (SDN), which has implications on both the network data and control planes. However, this thesis specifically focuses on the data plane aspects of NFV and the control plane aspects of DRS. Considering the network caching as a specific example of network function, the data plane aspects of NFV are studied in terms of different architectural options for cache placement in order to see which options are the most efficient in terms of network power consumption and cost. The results presented in this thesis show that placing large-sized caches farther in the network for a large group of users is the most efficient approach. The control plane aspects of DRS are analyzed in terms of which provisioning strategy should be used for sharing a limited amount of transport resources. The analysis is presented for both a single-tenant case (i.e., where the role of service and network provider is played by the same entity), and a multi-tenant case (i.e., where a network provider manages the resources assigned to different service providers in an intelligent way). The results show that DRS performs much better than the conventional static approach (i.e., without sharing of resources), which translates into significant cost savings for the network providers. / <p>QC 20161115</p>

Made available in DSpace on 2010-04-20T20:48:20Z (GMT). No. of bitstreams: 3 61692.pdf.jpg: 12951 bytes, checksum: f21a26b2d67d24fa9df3402f15548227 (MD5) 61692.pdf: 6960724 bytes, checksum: ab8b6a805bb9a90839593c4cc351ad2f (MD5) 61692.pdf.txt: 649872 bytes, checksum: 22f48a3f65121b9e50ed809b225edafe (MD5) Previous issue date: 2004-12-01T00:00:00Z / This research project intended to bring light to the way manufacturing organizations use the Internet and other information technologies in order to add value to their customers and/or reduce costs. Special attention is given to the virtualization of products and services that companies provide to their customers and to the virtualization of business processes, including the relationship with suppliers and other business partners. The study was based on survey data, obtained from 665 manufacturers from the state of Sao Paulo, Brazil. The analysis was performed using quantitative methods. / Esta tese tem por objetivo aprofundar o conhecimento acadêmico sobre a maneira como as empresas do setor industrial estão se utilizando da Internet e outras tecnologias da informação para agregar valor para os seus clientes e/ou reduzir seus próprios custos, com foco na possibilidade de virtualização dos produtos/serviços oferecidos e dos processos utilizados na sua obtenção, incluindo o relacionamento com os parceiros comerciais. O estudo foi realizado com base em dados levantados a partir de pesquisa de campo, com aplicação de questionário, e na utilização de métodos quantitativos para a análise das informações obtidas. Responderam ao questionário 665 empresas industriais do estado de São Paulo.

Virtualization is a technique used to abstract the operating system from the hardware. The primary gains of virtualization is increased server consolidation, leading to greater hardware utilization and infrastructure manageability. Another technology that can be used to achieve similar goals is containerization. Containerization is an operating-system level virtualization technique which allows applications to run in partial isolation on the same hardware. Containerized applications share the same Linux kernel but run in packaged containers which includes just enough binaries and libraries for the application to function. In recent years it has become more common to see hardware virtualization beneath the container host operating systems. An upcoming technology to further this development is VMware’s vSphere Integrated Containers which aims to integrate management of Linux Containers with the vSphere (a hardware virtualization platform by VMware) management interface. With these technologies as background we set out to measure the impact of hardware virtualization on Linux Container performance by running a suite of macro-benchmarks on a LAMP-application stack. We perform the macro-benchmarks on three different operating systems (CentOS, CoreOS and Photon OS) in order to see if the choice of container host affects the performance. Our results show a decrease in performance when comparing a hardware virtualized container host to a container hosts running directly on the hardware. However, the impact on containerized application performance can vary depending on the actual application, the choice of operating system and even the type of operation performed. It is therefore important to consider these three items before implementing container hosts as virtual machines.

Data warehouse har länge varit, och är fortfarande, en viktig tillgång för organisationer för att lagra data för analys. Under det senaste årtionde har en exponentiell ökning av data skett, vilket givit organisationer allt större möjligheter att fatta datadrivna beslut i en helt ny utsträckning. Likväl har det i många fall även satt press på organisationer att utnyttja data som en tillgång för att reagera och ta tillvara på möjligheter i ett hårdnande affärsklimat, eller rent av för att bibehålla konkurrenskraft. För att möjliggöra för organisationer att kunna reagera i tid ställs flexibilitetskrav på de tekniker som används för att hantera data för analys. Praxis som länge rått för data warehouse spås inom kort inte längre vara aktuellt. Organisationer behöver hitta nya vägar för att snabbt lyckas ställa om och anpassa sig efter marknadens behov. Många organisationer har i dagsläget ett traditionellt data warehouse, och denna studie undersöker hur väl data virtualization kan bidra till att öka flexibiliteten genom att adderas som ett komplement. Detta undersöks genom frågeställningen:Hur kan data virtualization komplettera och förbättra ett traditionellt data warehouse?För att besvara frågeställningen genomförs en litteraturanalys och en fallstudie följt av en implementation, där datainsamlingen primärt består av tester utförda utifrån implementationsresultatet, observationer och intervjuer.Resultatet visar på en delad bild, där utförda tester potentiellt kan ses ifrågasätta delar av intervjuresultatet och befintlig litteratur. Utifrån resultatet kan en del konstateranden göras om i vilka användningsfall data virtualization inte passar, samt ge en bild av när det kan vara ett alternativ. Data virtualization bör ses som en utbyggnad av ett data warehouse som möjliggör sammansättning, transformering och beräkning av data, där datastrukturer kan ändras när som helst. En organisation som anammar denna flexiblare lösning måste dock vara beredda på rejält höjda svarstider för att utvinna data. / Data warehouse has for a long time been, and still is, an important asset for organizations to store data for analysis. In the last decade, an exponential increase in data has taken place, giving organizations increasingly greater opportunities to make data-driven decisions in completely new ways. Nevertheless, in many cases, it also puts pressure on organizations to use data as an asset to react and take advantage of opportunities in a harder business climate, or even to maintain competitiveness. In order to enable organizations to be able to react in time, flexibility requirements are imposed on the techniques used to handle data for analysis. The traditional best practices for data warehouse is predicted to soon be out of date. Organizations need to find new ways to quickly change and adapt to the needs of the market. Many organizations currently have a traditional data warehouse, and this study examines how well data virtualization can help increase flexibility by being added as a complement. This is examined through the question:How can data virtualization complement and improve a traditional data warehouse?To answer this question, a literature analysis, and a case study followed by an implementation is carried out, in which the data collection consists primarily of tests performed on the implementation result, observations and interviews.The result shows a divided picture, where performed tests can potentially be seen as questioning parts of the interview results and existing literature. Based on the result, some findings can be made about in which use-cases data virtualization does not fit, and gives a picture of when it can be an alternative. Data virtualization should be seen as an extension of a data warehouse that enables the federation, transformation and computation of data, where data structures can be changed at any time. However, an organization that embraces this more flexible solution must be prepared for substantially increased response times in data extraction.

Virtualisierung und Cloud Computing gehören derzeit zu den wichtigsten Schlagworten für Betreiber von IT Infrastrukturen. Es gibt eine Vielzahl unterschiedlicher Technologien, Produkte und Geschäftsmodelle für vollkommen verschiedene Anwendungsszenarien. Die vorliegende Studie gibt zunächst einen detaillierten Überblick über aktuelle Entwicklungen in Konzepten und Technologien der Virtualisierungstechnologie – von klassischer Servervirtualisierung über Infrastrukturen für virtuelle Arbeitsplätze bis zur Anwendungsvirtualisierung und macht den Versuch einer Klassifikation der Virtualisierungsvarianten. Bei der Betrachtung des Cloud Computing-Konzepts werden deren Grundzüge sowie verschiedene Architekturvarianten und Anwendungsfälle eingeführt. Die ausführliche Untersuchung von Vorteilen des Cloud Computing sowie möglicher Bedenken, die bei der Nutzung von Cloud-Ressourcen im Unternehmen beachtet werden müssen, zeigt, dass Cloud Computing zwar große Chancen bietet, aber nicht für jede Anwendung und nicht für jeden rechtlichen und wirtschaftlichen Rahmen in Frage kommt.. Die anschließende Marktübersicht für Virtualisierungstechnologie zeigt, dass die großen Hersteller – Citrix, Microsoft und VMware – jeweils Produkte für fast alle Virtualisierungsvarianten anbieten und hebt entscheidende Unterschiede bzw. die Stärken der jeweiligen Anbieter heraus. So ist beispielsweise die Lösung von Citrix für Virtual Desktop Infrastructures sehr ausgereift, während Microsoft hier nur auf Standardtechnologie zurückgreifen kann. VMware hat als Marktführer die größte Verbreitung in Rechenzentren gefunden und bietet als einziger Hersteller echte Fehlertoleranz. Microsoft hingegen punktet mit der nahtlosen Integration ihrer Virtualisierungsprodukte in bestehende Windows-Infrastrukturen. Im Bereich der Cloud Computing-Systeme zeigen sich einige quelloffene Softwareprojekte, die durchaus für den produktiven Betrieb von sogenannten privaten Clouds geeignet sind. / Virtualization and Cloud Computing belong to the most important issues for operators of large ICT infrastructures today. There are a large number of various technologies, products, and business models for entirely different application scenarios. The study at hand gives a detailed overview on latest developments in concepts and technologies of virtualization – beginning with classic server virtualization, continuing with infrastructures for virtual workplaces, through to application virtualization and makes an attempt to classify all these variants of virtualization. When investigating on the concepts of Cloud Computing, the report introduces basic principles as well as different types of architecture and use cases. The extensive analysis of benefits of Cloud Computing and possible reservations when using cloud resources within an enterprise context is evidence that Cloud Computing offers great opportunities, but is not worth considering for any kind of application scenario, legal framework or business scenario. The subsequent market study on virtualization technology shows that each of the major manufacturers – Citrix, Microsoft, and VMware – offer products for any variant of virtualization and highlights the important differences between the products and the respective strengths of the vendors. For example, the Citrix solution on Virtual Desktop Infrastructures comes up very well-engineered, while Microsoft can only rely on standard technology in this field. VMware, the market leader in virtualization technology, has gained the biggest popularity in data centers and offers the only product implementing real fault tolerance. On the other hand, Microsoft is able to score with seamless integration of their virtualization products into existing Windows-based infrastructures. In the area of Cloud Computing systems, there are some open source software projects that are very possibly suitable for the productive operation of so called private clouds.

Orientador: Marcos Antônio Cavenaghi / Banca: Renata Spolon Lobato / Banca: Ronaldo Lara Gonçalves / Resumo: O gerenciamento de um conglomerado de computadores em rede é uma atividade potencialmente complexa devido à natureza heterogênea destes equipamentos. Estas redes podem apresentar computadores com diferentes configurações em sua camada de software básico e aplicativos em função das diferenças de configuração de hardware em cada nó da rede. Neste cenário, cada computador torna-se uma entidade gerenciada individualmente, exigindo uma atividade manual de configuração da imagem de sistema ou com automatização limitada à camada de aplicativos. Tecnologias que oferecem gestão centralizada, como arquiteturas thin-client ou terminal de serviços, penalizam o desempenho das estações e oferecem capacidade reduzida para atender um número crescente de usuários uma vez que todo o processamento dos aplicativos dos clientes é executado em um único nó da rede. Outras arquiteturas para gerenciamento centralizado que atuam em camada de software são ineficazes em oferecer uma administração baseada em uma imagem única de configuração dado o forte acoplamento entre as camadas de software e hardware. Compreendendo as deficiências dos modelos tradicionais de gerenciamento centralizado de computadores, o objetivo deste trabalho é o desenvolvimento do FlexLab, mecanismo de gerenciamento de computadores através de Imagem de Sistema Única baseado em um middleware de virtualização distribuída. Por meio do middleware de virtualização do FlexLab, os computadores em rede de um ambiente são capazes de realizar o processo de boot remoto a partir de uma Imagem de Sistema Única desenvolvida sobre um hardware virtualizado. Esta imagem é hospedada e acessada a partir de um servidor central da rede, padronizando assim as configurações de software básico e aplicativos mesmo em um cenário de computadores com configuração heterogênea de hardware, simplificando... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Computer network management is a potentially complex task due to the heterogeneous nature of the hardware configuration of these machines. These networks may offer computers with different configuration in their basic software layer due to the configuration differences in their hardware layer and thus, in this scenario, each computer becomes an individual managed entity in the computer network and then requiring an individual and manually operated configuration procedure or automated maintenance restricted to application layer. Thin-client or terminal services do offer architectures for centralized management, however these architectures impose performance penalties for client execution and offer reduced scalability support in order to serve a growing number of users since all application processing is hosted and consume processing power of a single network node: the server. In the other hand, architectures for centralized management based on applications running over software layer are inefficient in offer computer management based on a single configuration image due to the tight coupling between software and hardware layers. Understanding the drawbacks of the theses centralized computer management solutions, the aim of this project is to develop the FlexLab, centralized computer management architecture through a Single System Image based on a distributed virtualization middleware. Through FlexLab virtualization middleware, the computers of a network environment are able to remote boot from a Single System Image targeting the virtual machine hardware. This Single System Image is hosted at a central network server and thus, standardizing basic software and applications configurations for networks with heterogeneous computer hardware configuration which simplifies computer management since all computers may be managed through a Single System Image. The experiments have shown that... (Complete abstract click electronic access below) / Mestre

Made available in DSpace on 2014-06-11T19:29:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-07-24Bitstream added on 2014-06-13T18:39:30Z : No. of bitstreams: 1 cruz_di_me_sjrp.pdf: 2160735 bytes, checksum: 8010a7f3347625f0df8a2602dcebd330 (MD5) / O gerenciamento de um conglomerado de computadores em rede é uma atividade potencialmente complexa devido à natureza heterogênea destes equipamentos. Estas redes podem apresentar computadores com diferentes configurações em sua camada de software básico e aplicativos em função das diferenças de configuração de hardware em cada nó da rede. Neste cenário, cada computador torna-se uma entidade gerenciada individualmente, exigindo uma atividade manual de configuração da imagem de sistema ou com automatização limitada à camada de aplicativos. Tecnologias que oferecem gestão centralizada, como arquiteturas thin-client ou terminal de serviços, penalizam o desempenho das estações e oferecem capacidade reduzida para atender um número crescente de usuários uma vez que todo o processamento dos aplicativos dos clientes é executado em um único nó da rede. Outras arquiteturas para gerenciamento centralizado que atuam em camada de software são ineficazes em oferecer uma administração baseada em uma imagem única de configuração dado o forte acoplamento entre as camadas de software e hardware. Compreendendo as deficiências dos modelos tradicionais de gerenciamento centralizado de computadores, o objetivo deste trabalho é o desenvolvimento do FlexLab, mecanismo de gerenciamento de computadores através de Imagem de Sistema Única baseado em um middleware de virtualização distribuída. Por meio do middleware de virtualização do FlexLab, os computadores em rede de um ambiente são capazes de realizar o processo de boot remoto a partir de uma Imagem de Sistema Única desenvolvida sobre um hardware virtualizado. Esta imagem é hospedada e acessada a partir de um servidor central da rede, padronizando assim as configurações de software básico e aplicativos mesmo em um cenário de computadores com configuração heterogênea de hardware, simplificando... / Computer network management is a potentially complex task due to the heterogeneous nature of the hardware configuration of these machines. These networks may offer computers with different configuration in their basic software layer due to the configuration differences in their hardware layer and thus, in this scenario, each computer becomes an individual managed entity in the computer network and then requiring an individual and manually operated configuration procedure or automated maintenance restricted to application layer. Thin-client or terminal services do offer architectures for centralized management, however these architectures impose performance penalties for client execution and offer reduced scalability support in order to serve a growing number of users since all application processing is hosted and consume processing power of a single network node: the server. In the other hand, architectures for centralized management based on applications running over software layer are inefficient in offer computer management based on a single configuration image due to the tight coupling between software and hardware layers. Understanding the drawbacks of the theses centralized computer management solutions, the aim of this project is to develop the FlexLab, centralized computer management architecture through a Single System Image based on a distributed virtualization middleware. Through FlexLab virtualization middleware, the computers of a network environment are able to remote boot from a Single System Image targeting the virtual machine hardware. This Single System Image is hosted at a central network server and thus, standardizing basic software and applications configurations for networks with heterogeneous computer hardware configuration which simplifies computer management since all computers may be managed through a Single System Image. The experiments have shown that... (Complete abstract click electronic access below)

The focus of this work is to create a method for the selection of the concept of on-premise IT infrastructure. The document is divided into six chapters, where the first is dedicated to brief introduction and definition of objectives of the work. The second chapter focuses on current state of the problem, which includes research of similar works and definitions of used terms. The third chapter is devoted to describing conceptions as the basis for the fourth chapter, which deals with construction of the method. The fifth chapter is devoted to the verification of the method in a real world environment and last chapter summarizes the whole thesis.

This work deals with virtualization of computer systems and network cards in high-speed computer networks, and describes implementation of the SR-IOV virtualization technology support in the COMBO network card platform. Various approaches towards network card virtualization are compared, and the benefits of the SR-IOV technology for high performance applications are described. The work gives overview of the COMBO platform and describes design and implementation of the SR-IOV technology support for the COMBO platform. The work concludes with measurement and analysis of the implemented technology performance in virtual machines. The result of this work is the COMBO cards' support for the SR-IOV technology, which makes it possible to use them in virtual machines with wire-speed performance preserved. This allows future COMBO cards to be used as accelerators in the networks utilizing the Network Function Virtualization.

This diploma thesis describes possible solutions of IT infrastucture optimizing using new technologies, such as cloud computing, desktop virtualization and providing software as a service. It gives an analysis of the actual state of IT infrastucture in organization and drafts a suitable economical and system solution. It also describes individual areas of information technologies and their advantages. Finally, it focuses on selecting the most suitable technology with the assessment of its economic benefit for the company.