Cloud Computing sees increased adoption as companies seek to increase flexibility and reduce cost. Although the large cloud service providers employ a pay-as-you-go pricing model and enable customers to scale up and down quickly, there is still room for improvement. Workload in the form of CPU utilization often fluctuates which leads to unnecessary cost and environmental impact for companies. To help mitigate this issue, the aim of this paper is to predict future CPU utilization using a long short-term memory (LSTM) machine learning model. By predicting utilization up to 30 minutes into the future, companies are able to scale their capacity just in time and avoid unnecessary cost and damage to the environment. The study is divided into two parts. The first part analyses how well the LSTM model performs when predicting one step at a time compared with a state-of-the-art model. The second part analyses the accuracy of the LSTM when making predictions up to 30 minutes into the future. To allow for an objective analysis of results, the LSTM is compared with a standard RNN, which is similar to the LSTM in its inherit algorithmic structure. To conclude, the results suggest that LSTM may be a useful tool for reducing cost and unnecessary environmental impact for business applications hosted on a public cloud. / Användandet av molntjänster ökar bland företag som önskar förbättrad flexibilitet och sänkta kostnader. De stora molntjänstleverantörerna använder en prismodell där kostnaden är direkt kopplad till användningen, och låter kunderna snabbt ställa om sin kapacitet, men det finns ändå förbättringsmöjligheter. CPU-behoven fluktuerar ofta vilket leder till meningslösa kostnader och onödig påverkan på klimatet när kapacitet är outnyttjad. För att lindra detta problem används i denna rapport en LSTM maskininlärningsmodell för att förutspå framtida CPU-utnyttjande. Genom att förutspå utnyttjandet upp till 30 minuter in i framtiden hinner företag ställa om sin kapacitet och undvika onödig kostnad och klimatpåverkan. Arbetet ¨ar uppdelat i två delar. Först en del där LSTM-modellen förutspår ett tidssteg åt gången. Därefter en del som analyserar träffsäkerheten för LSTM flera tidssteg in i framtiden, upp till 30 tidssteg. För att möjliggöra en objektiv utvärdering så jämfördes LSTM-modellen med ett standard recurrent neural network (RNN) vilken liknar LSTM i sin struktur. Resultaten i denna studie visar att LSTM verkar vara ¨överlägsen RNN, både när det gäller att förutspå ett tidssteg in i framtiden och när det gäller flera tidssteg in i framtiden. LSTM-modellen var kapabel att förutspå CPU-utnyttjandet 30 minuter in i framtiden med i hög grad bibehållen träffsäkerhet, vilket också var målet med studien. Sammanfattningsvis tyder resultaten på att denna LSTM-modell, och möjligen liknande LSTM-modeller, har potential att användas i samband med företagsapplikationer då man önskar att reducera onödig kostnad och klimatpåverkan.

Cloud Infrastructure-as-a-Service (IaaS) is a form of utility computing which has emerged with the recent innovations in the service computing and data communication technologies. Regardless of the fact that IaaS is attractive for application service providers, satisfying user requests while ensuring cloud operational objectives is a complicated task that raises several resource management challenges. Among these challenges, limited controllability over network services delivered to cloud consumers is prominent in single datacenter cloud environments. In addition, the lack of seamless service migration and optimization, poor infrastructure utilization, and unavailability of efficient fault tolerant techniques are noteworthy challenges in geographically distributed datacenter clouds. Initially in this thesis, a datacenter resource management framework is presented to address the challenge of limited controllability over cloud network traffic. The proposed framework integrates network virtualization functionalities offered by software defined networking (SDN) into cloud ecosystem. To provide rich traffic control features to IaaS consumers, control plane virtualization capabilities offered by SDN have been employed. Secondly, a quality of service (QoS) aware seamless service migration and optimization framework has been proposed in the context of geo-distributed datacenters. Focus has been given to a mobile end-user scenario where frequent cloud service migrations are required to mitigate QoS violations. Finally, an SDN-based dynamic fault restoration scheme and a shared backup-based fault protection scheme have been proposed. The fault restoration has been achieved by introducing QoS-aware reactive and shared risk link group-aware proactive path computation algorithms. Shared backup protection has been achieved by optimizing virtual and backup link embedding through a novel integer linear programming approach. The proposed solutions significantly improve bandwidth utilization in inter-datacenter networks while recovering from substrate link failures.

This diploma work is focused on the Cloud Computing and its possible applications in the Czech Republic. The first part of the work is theoretical and describes accessible sources analysis related to its topic. Historical circumstances are given in the relation to the evolution of this technology. Also few definitions are quoted, followed by the Cloud Computing basic taxonomy and common models of use. The chapter named Cloud Computing Architecture covers the generally accepted model of this technology in details. In the part focused on theory are mentioned some of the services opearating on this technology. At the end the theoretical part brings possibility of the Cloud Computing usage from the customer's and supplier's perspective. The practical part of the diploma work is divided into sections. The first one brings results of the questionnare research, performed by the author in the Czech Republic, focused on the usage of the Cloud Computing and virtualization services. In the sekond section is pre-feasibility study. The study is focused on the providing SaaS Services in the area of long-term and safe digital data store. Lastly there is an author's view on the Cloud Computing technology future and possible evolution.

<p>Cloud computing is a new buzzword within the IT-industry, and introduces a whole new way of working with IT. The technique delivers web based services, which results in that the user no longer needs to install an application locally on a computer. Since the application no longer needs to run on a local entity, but in a datacenter located on a service provider, the users no longer need any specific hardware more than a computer with an internet connection. Cloud computing also offers IT-infrastructure and development environments as services, these three service types is better known as cloud services. Through the usage of different types of cloud services, the need for maintenance and hardware is significantly reduced. Therefore, the need for IT-competence in a company is reduced, which offers the company to focus on their core business strategy. A problem with cloud computing is that because it is such a new phenomenon, there is no established definition. This makes the subject hard to understand and easily misunderstood.</p><p>Cloud computing surely seems to solve many of the problems with reliability of systems and hardware that companies struggle with on a daily basis, but is it really that simple? The purpose of this thesis is to understand which types of company preconditions that affect the integration of cloud services in a company. We will also clarify the concept of Cloud computing by divide and describe its different components.</p><p>To investigate the different types of company preconditions and there approach to cloud services we have performed interviews at different companies in associations with our case study.</p><p>The result shows that a cloud service only can be integrated to an organization as long as the organization possesses the right preconditions. We think that cloud services can bring great advantages to organizations that meet these preconditions and that cloud services has the potential to ease the way of work for organizations in the future.</p> / <p>Cloud computing är ett nytt trendord inom IT-branschen och innebär ett nytt sätt att arbeta med IT. Tekniken bygger på att användare av en applikation inte behöver installera en applikation på sin lokala dator utan applikationen förmedlas som en tjänst genom Internet. Då applikationen inte körs på någon lokal enhet utan i en datorhall hos tjänsteleverantören behöver inte användaren ha någon mer specifik hårdvara utöver en dator och en Internetanslutning för att ta del av tjänsten. Även IT-infrastruktur och utvecklingsmiljö som tjänst erbjuds på samma sätt inom Cloud computing, dessa tre typer av tjänster kallas för molntjänster. Genom att använda olika typer av molntjänster minskar den interna driften av system, underhåll av hårdvara och således behövs minmal IT-kompetens inom företag, detta tillåter företag att fokusera på sin kärnverksamhet. Då Cloud computing är ett nytt fenomen finns det ingen erkänd definition av begreppet ännu, detta resulterar i att ämnet blir svårförstått och misstolkas lätt.</p><p>Cloud computing verkar onekligen lösa problematiken med driftsäkerhet som företag tvingas att handskas med dagligen, men är de verkligen så enkelt? Syftet med uppsatsen är att redogöra för vilka förutsättningar som företag besitter som påverkar hur bra olika typer av molntjänster kan integreras i företagets verksamhet. Uppsatsen ska även redogöra för begreppet Cloud computing genom att dela upp och beskriva de olika delar som begreppet består utav.</p><p>För att utreda detta har vi bedrivit en fallstudie genom intervjuer hos utvalda företag för att undersöka företagens förutsättningar och förhållningssätt gentemot olika typer av molntjänster.</p><p>Resultatet visar att de rätta förutsättningarna krävs för att ett företag ska kunna integrera molntjänster i sin verksamhet. Vi anser att molntjänster kan medföra stora fördelar för de företagen som besitter dessa förutsättningar, och att molntjänster har potential att underlätta verksamheten för många organisationer i framtiden.</p>

A computação em nuvem é considerada um paradigma computacional da atualidade. Sua adoção vem crescendo nos últimos anos, contudo ainda é incipiente nas organizações brasileiras. Por ser uma tecnologia inovadora, a computação em nuvem vem recebendo maior atenção da academia nos últimos anos, contudo a abordagem do assunto na literatura de Sistemas de Informação ainda é considerada baixa, apesar de crescente. A presente dissertação tem o objetivo de analisar os fatores de adoção da tecnologia, estabelecendo uma relação entre elementos de teorias de base e fatores de adoção. Foram identificados na literatura elementos teóricos e fatores relacionados à computação em nuvem, sendo realizadas associações entre tais fatores e elementos. Os elementos teóricos identificados na revisão da literatura são oriundos da teoria dos custos de transação, teoria da dependência de recursos e teoria de difusão da inovação. A pesquisa realizada é de caráter exploratório, por meio de estudos de casos múltiplos, realizados em três empresas que já adotaram computação em nuvem. O estudo utilizou como fontes de evidências entrevistas semiestruturadas, documentos e consulta a sites corporativos das organizações pesquisadas. Para análise das entrevistas foi utilizada a técnica de análise de conteúdo, com o auxílio do software MAXQDA10. Os resultados do estudo apresentaram como fatores de adoção de computação em nuvem: confiabilidade, escalabilidade, economia, privacidade e segurança. A pesquisa também contribui para o preenchimento da lacuna na literatura de Sistemas de Informação, oferecendo subsídios para estudos quantitativos que confirmem os fatores levantados. / Cloud computing is considered a new computational paradigm for many researchers and practitioners. The adoption of this technology has been arisen in the last few years by the organizations, nevertheless it is still emerging in Brazil. As considered an innovative technology, cloud computing adoption has been gathering more attention in the academy. However, this subject in the Information Systems literature still has little attention, although increasing. This dissertation intends to analyze the adoption factors of cloud computing and establish associations between technology adoption factors and theory elements. Initially were identified in the literature of economic and organizational theories some elements related to the Diffusion of Innovations Theory, Transaction Cost Economics and Resource Dependency Theory. Then, the technology adoption factors were related directly to the cloud computing features. Consequently the theory elements were associated with the technology adoption factors. This research was exploratory, through multiple case studies in three companies that already adopted cloud computing. The data collection was made by interviews and documents analysis. To analyze the seven interviews this research used the content analysis method, using the software MAXQDA10. Thereafter, was conducted an association between the theory elements and the technology adoption factors. As main results, were confirmed as adoption factors in cloud computing: reliability, scalability, security, privacy and economy. This study also contributes for fill in a lack in the literature, as well as offer information for future quantitative researches about the technology adoption factors.

Made available in DSpace on 2016-06-02T19:06:15Z (GMT). No. of bitstreams: 1 6215.pdf: 2705931 bytes, checksum: f13134b07bf961a0e166ae8f6fdc0bf0 (MD5) Previous issue date: 2014-02-27 / Financiadora de Estudos e Projetos / During the last decade, the advent of large scale processing and the need for rapid modification of computational structures have increased the popularity of Cloud Computing, particularly the Infrastructure as a Service model. Several companies have invested in infrastructure to become providers of this kind of service, whether for general public or only to supply their own business needs. This has increased the number of virtualized datacenters across the world and created a growing interest in interoperability between different providers. However, due to the lack of technology standardization, and to limitations in the current network s architecture, this interoperability is still an issue. Based on this, this research project presents an OpenFlow based network flow redirection architecture to support service continuity during the migration of applications between different IaaS providers. The tests performed show the applicability of the proposed architecture in a real network environment, having control only of the network edges, and without setting up any specific hardware. / Durante a ultima década, o advento do processamento em larga escala e a necessidade de rápida modificação de estruturas computacionais fez com que a computação em nuvem se popularizasse, em particular na forma de aprovisionamento de Infraestrutura como Serviço. Diversas companhias investiram em infraestrutura para se tornarem provedores desse tipo de serviço, seja para o publico ou para proverem recursos para seus próprios negócios. Isto aumentou o numero de centros de dados virtualizados e gerou o interesse na interoperabilidade entre os diferentes provedores. Entretanto, devido a falta de padronização de tecnologias, e devido a limitações na arquitetura das redes atuais, essa interoperabilidade ainda e um assunto em aberto. Com base nisso, o presente trabalho apresenta uma arquitetura de redirecionamento de fluxos de rede baseada em OpenFlow para o suporte a continuidade de serviço durante a migração de aplicações entre diferentes provedores de IaaS. Os testes realizados comprovam sua aplicabilidade em um cenário real, controlando apenas as bordas da rede, e sem a instalação de nenhum hardware específico.

A computação em nuvem é considerada um paradigma computacional da atualidade. Sua adoção vem crescendo nos últimos anos, contudo ainda é incipiente nas organizações brasileiras. Por ser uma tecnologia inovadora, a computação em nuvem vem recebendo maior atenção da academia nos últimos anos, contudo a abordagem do assunto na literatura de Sistemas de Informação ainda é considerada baixa, apesar de crescente. A presente dissertação tem o objetivo de analisar os fatores de adoção da tecnologia, estabelecendo uma relação entre elementos de teorias de base e fatores de adoção. Foram identificados na literatura elementos teóricos e fatores relacionados à computação em nuvem, sendo realizadas associações entre tais fatores e elementos. Os elementos teóricos identificados na revisão da literatura são oriundos da teoria dos custos de transação, teoria da dependência de recursos e teoria de difusão da inovação. A pesquisa realizada é de caráter exploratório, por meio de estudos de casos múltiplos, realizados em três empresas que já adotaram computação em nuvem. O estudo utilizou como fontes de evidências entrevistas semiestruturadas, documentos e consulta a sites corporativos das organizações pesquisadas. Para análise das entrevistas foi utilizada a técnica de análise de conteúdo, com o auxílio do software MAXQDA10. Os resultados do estudo apresentaram como fatores de adoção de computação em nuvem: confiabilidade, escalabilidade, economia, privacidade e segurança. A pesquisa também contribui para o preenchimento da lacuna na literatura de Sistemas de Informação, oferecendo subsídios para estudos quantitativos que confirmem os fatores levantados. / Cloud computing is considered a new computational paradigm for many researchers and practitioners. The adoption of this technology has been arisen in the last few years by the organizations, nevertheless it is still emerging in Brazil. As considered an innovative technology, cloud computing adoption has been gathering more attention in the academy. However, this subject in the Information Systems literature still has little attention, although increasing. This dissertation intends to analyze the adoption factors of cloud computing and establish associations between technology adoption factors and theory elements. Initially were identified in the literature of economic and organizational theories some elements related to the Diffusion of Innovations Theory, Transaction Cost Economics and Resource Dependency Theory. Then, the technology adoption factors were related directly to the cloud computing features. Consequently the theory elements were associated with the technology adoption factors. This research was exploratory, through multiple case studies in three companies that already adopted cloud computing. The data collection was made by interviews and documents analysis. To analyze the seven interviews this research used the content analysis method, using the software MAXQDA10. Thereafter, was conducted an association between the theory elements and the technology adoption factors. As main results, were confirmed as adoption factors in cloud computing: reliability, scalability, security, privacy and economy. This study also contributes for fill in a lack in the literature, as well as offer information for future quantitative researches about the technology adoption factors.

A computação em nuvem é considerada um paradigma computacional da atualidade. Sua adoção vem crescendo nos últimos anos, contudo ainda é incipiente nas organizações brasileiras. Por ser uma tecnologia inovadora, a computação em nuvem vem recebendo maior atenção da academia nos últimos anos, contudo a abordagem do assunto na literatura de Sistemas de Informação ainda é considerada baixa, apesar de crescente. A presente dissertação tem o objetivo de analisar os fatores de adoção da tecnologia, estabelecendo uma relação entre elementos de teorias de base e fatores de adoção. Foram identificados na literatura elementos teóricos e fatores relacionados à computação em nuvem, sendo realizadas associações entre tais fatores e elementos. Os elementos teóricos identificados na revisão da literatura são oriundos da teoria dos custos de transação, teoria da dependência de recursos e teoria de difusão da inovação. A pesquisa realizada é de caráter exploratório, por meio de estudos de casos múltiplos, realizados em três empresas que já adotaram computação em nuvem. O estudo utilizou como fontes de evidências entrevistas semiestruturadas, documentos e consulta a sites corporativos das organizações pesquisadas. Para análise das entrevistas foi utilizada a técnica de análise de conteúdo, com o auxílio do software MAXQDA10. Os resultados do estudo apresentaram como fatores de adoção de computação em nuvem: confiabilidade, escalabilidade, economia, privacidade e segurança. A pesquisa também contribui para o preenchimento da lacuna na literatura de Sistemas de Informação, oferecendo subsídios para estudos quantitativos que confirmem os fatores levantados. / Cloud computing is considered a new computational paradigm for many researchers and practitioners. The adoption of this technology has been arisen in the last few years by the organizations, nevertheless it is still emerging in Brazil. As considered an innovative technology, cloud computing adoption has been gathering more attention in the academy. However, this subject in the Information Systems literature still has little attention, although increasing. This dissertation intends to analyze the adoption factors of cloud computing and establish associations between technology adoption factors and theory elements. Initially were identified in the literature of economic and organizational theories some elements related to the Diffusion of Innovations Theory, Transaction Cost Economics and Resource Dependency Theory. Then, the technology adoption factors were related directly to the cloud computing features. Consequently the theory elements were associated with the technology adoption factors. This research was exploratory, through multiple case studies in three companies that already adopted cloud computing. The data collection was made by interviews and documents analysis. To analyze the seven interviews this research used the content analysis method, using the software MAXQDA10. Thereafter, was conducted an association between the theory elements and the technology adoption factors. As main results, were confirmed as adoption factors in cloud computing: reliability, scalability, security, privacy and economy. This study also contributes for fill in a lack in the literature, as well as offer information for future quantitative researches about the technology adoption factors.

Cloud computing is a new buzzword within the IT-industry, and introduces a whole new way of working with IT. The technique delivers web based services, which results in that the user no longer needs to install an application locally on a computer. Since the application no longer needs to run on a local entity, but in a datacenter located on a service provider, the users no longer need any specific hardware more than a computer with an internet connection. Cloud computing also offers IT-infrastructure and development environments as services, these three service types is better known as cloud services. Through the usage of different types of cloud services, the need for maintenance and hardware is significantly reduced. Therefore, the need for IT-competence in a company is reduced, which offers the company to focus on their core business strategy. A problem with cloud computing is that because it is such a new phenomenon, there is no established definition. This makes the subject hard to understand and easily misunderstood. Cloud computing surely seems to solve many of the problems with reliability of systems and hardware that companies struggle with on a daily basis, but is it really that simple? The purpose of this thesis is to understand which types of company preconditions that affect the integration of cloud services in a company. We will also clarify the concept of Cloud computing by divide and describe its different components. To investigate the different types of company preconditions and there approach to cloud services we have performed interviews at different companies in associations with our case study. The result shows that a cloud service only can be integrated to an organization as long as the organization possesses the right preconditions. We think that cloud services can bring great advantages to organizations that meet these preconditions and that cloud services has the potential to ease the way of work for organizations in the future. / Cloud computing är ett nytt trendord inom IT-branschen och innebär ett nytt sätt att arbeta med IT. Tekniken bygger på att användare av en applikation inte behöver installera en applikation på sin lokala dator utan applikationen förmedlas som en tjänst genom Internet. Då applikationen inte körs på någon lokal enhet utan i en datorhall hos tjänsteleverantören behöver inte användaren ha någon mer specifik hårdvara utöver en dator och en Internetanslutning för att ta del av tjänsten. Även IT-infrastruktur och utvecklingsmiljö som tjänst erbjuds på samma sätt inom Cloud computing, dessa tre typer av tjänster kallas för molntjänster. Genom att använda olika typer av molntjänster minskar den interna driften av system, underhåll av hårdvara och således behövs minmal IT-kompetens inom företag, detta tillåter företag att fokusera på sin kärnverksamhet. Då Cloud computing är ett nytt fenomen finns det ingen erkänd definition av begreppet ännu, detta resulterar i att ämnet blir svårförstått och misstolkas lätt. Cloud computing verkar onekligen lösa problematiken med driftsäkerhet som företag tvingas att handskas med dagligen, men är de verkligen så enkelt? Syftet med uppsatsen är att redogöra för vilka förutsättningar som företag besitter som påverkar hur bra olika typer av molntjänster kan integreras i företagets verksamhet. Uppsatsen ska även redogöra för begreppet Cloud computing genom att dela upp och beskriva de olika delar som begreppet består utav. För att utreda detta har vi bedrivit en fallstudie genom intervjuer hos utvalda företag för att undersöka företagens förutsättningar och förhållningssätt gentemot olika typer av molntjänster. Resultatet visar att de rätta förutsättningarna krävs för att ett företag ska kunna integrera molntjänster i sin verksamhet. Vi anser att molntjänster kan medföra stora fördelar för de företagen som besitter dessa förutsättningar, och att molntjänster har potential att underlätta verksamheten för många organisationer i framtiden.

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