850 resultados para Private cloud computing


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The emergence of powerful new technologies, the existence of large quantities of data, and increasing demands for the extraction of added value from these technologies and data have created a number of significant challenges for those charged with both corporate and information technology management. The possibilities are great, the expectations high, and the risks significant. Organisations seeking to employ cloud technologies and exploit the value of the data to which they have access, be this in the form of "Big Data" available from different external sources or data held within the organisation, in structured or unstructured formats, need to understand the risks involved in such activities. Data owners have responsibilities towards the subjects of the data and must also, frequently, demonstrate that they are in compliance with current standards, laws and regulations. This thesis sets out to explore the nature of the technologies that organisations might utilise, identify the most pertinent constraints and risks, and propose a framework for the management of data from discovery to external hosting that will allow the most significant risks to be managed through the definition, implementation, and performance of appropriate internal control activities.

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En el presente proyecto se ha abordado la tarea de acercar las tecnologías existentes de plataformas de gestión de infraestructuras ofrecidas en la nube (Cloud Management Platform, aka CMP) al mundo empresarial. En concreto, se ha desplegado una solución de explotación de infraestructuras privadas en la nube (IaaS) enfocada a la gestión de un datacenter virtualizado, utilizando para ello soluciones completamente basadas en software libre, en concreto, OpenNebula.

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Los servicios cloud se utilizan cada vez más en todo tipo de entornos, y la tendencia no hará sino acentuarse en los próximos años. Amazon AWS es líder de servicios IaaS y todos pretenden imitarles con éxito. OpenStack es una de las soluciones OpenSource con más apoyo de la comunidad y de sponsors de renombre. El presente proyecto introduce la arquitectura OpenStack y desarrolla un proyecto real de explotación IaaS basado en ésta.

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Detall d'una implementació d'un sistema de computació al núvol a baixa escala i a nivell corporatiu.

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App Engine on lyhenne englanninkielisistä termeistä application, sovellus ja engine, moottori. Kyseessä on Google, Inc. -konsernin toteuttama kaupallinen palvelu, joka noudattaa pilvimallin tietojenkäsittelyn periaatteita ja mahdollistaa asiakkaan oman sovelluskehityksen. Järjestelmään on mahdollista ohjelmoida itse ideoitu palvelu Internet - verkon välityksellä käytettäväksi, joko yksityisesti tai julkisesti. Kyse on siis hajautetusta palvelinjärjestelmästä, jonka tarjoaa dynaamisesti kuormitukseen sopeutuvan sovellusalustan, jossa asiakas ei vuokraa virtuaalikoneita. Myös järjestelmän tarjoama tallennuskapasiteetti on saatavilla joustavasti. Itse kandidaatintyössä syvennytään yksityiskohtaisemmin sovelluksen toteuttamiseen palvelussa, rajoitteisiin ja soveltuvuuteen. Alussa käydään läpi pilvikäsite, joista monilla tietokoneiden käyttäjillä on epäselvä käsitys. Erilaisia kokonaisuuksia voidaan luoda erittäin monella tavalla, joista rajaamme käsittelyn kohteeksi toteuttamiskelpoiset yleiset ratkaisut.

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The main objective of this master’s thesis is to provide a comprehensive view to cloud computing and SaaS, and analyze how well CADM, a unit of Capgemini Finland Ltd., would fit to the cloud-based SaaS business. Another objective for this thesis is to investigate how public clouds would fit for CADM as a delivery model, if they would provide SaaS applications to their customers. This master’s thesis is executed by investigating characteristics of cloud computing and SaaS especially from application provider point of view. This is done by exploring what kinds of researches and analysis there have been done regarding these two phenomena during past few years. Then CADM’s current business model and operations are analyzed from SaaS’s and public cloud’s perspective. This analyzing part is conducted by using SWOT analysis which is widely used analytical tool when observing company’s strategic position and when figuring out possibilities how to improve company’s operations. The conducted analysis and observations reveals that CADM should pursue SaaS business as it could provide remarkable advantages and strengthen their position in current markets. However, pure SaaS model would not be the optimal solution for CADM because they do not have own product which could be transformed to SaaS model, and they lack of Infrastructure Management ability. Also public cloud would not be the most suitable delivery model for them if providing SaaS services. The main observation of this thesis is that CADM should adopt the SaaS model via Capgemini Immediate offering.

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Millions of enterprises move their applications to a cloud every year. According to Forrester Research “the global cloud computing market will grow from a $40.7 billion in 2011 to $241 billion in 2020”. Due to increased interests and demand broad range of providers and solutions have appeared in the market. It is vital to be able to predict possible problems correctly and to classify and mitigate risks associated with the migration process. The study will show the main criteria that should be taken into consideration while making decision of moving enterprise applications to the cloud and choosing appropriate vendor. The main goal of the research is to identify main problems during the migration to a cloud and propose a solution for their prevention and mitigation of consequences in case of occurrence. The research provides an overview of existing cloud solutions and deployment models for enterprise applications. It identifies decision drivers of an applications migration to a cloud and potential risks and benefits associated with this. Finally, the best practices for the successful enterprise-to-cloud migration based on the case studies analysis are formulated.

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This study aims to open up some typical models of organizational buying behavior. As the cloud computing and cloud services seem to be the today´s hype, the study seeks to further facilitate the understanding of organizational buying behavior regarding cloud services by interviewing a decision maker of this field in the purchaser´s side and also for comparison a cloud service provider´s representative from the vendor´s side.

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Cloud computing is a practically relevant paradigm in computing today. Testing is one of the distinct areas where cloud computing can be applied. This study addressed the applicability of cloud computing for testing within organizational and strategic contexts. The study focused on issues related to the adoption, use and effects of cloudbased testing. The study applied empirical research methods. The data was collected through interviews with practitioners from 30 organizations and was analysed using the grounded theory method. The research process consisted of four phases. The first phase studied the definitions and perceptions related to cloud-based testing. The second phase observed cloud-based testing in real-life practice. The third phase analysed quality in the context of cloud application development. The fourth phase studied the applicability of cloud computing in the gaming industry. The results showed that cloud computing is relevant and applicable for testing and application development, as well as other areas, e.g., game development. The research identified the benefits, challenges, requirements and effects of cloud-based testing; and formulated a roadmap and strategy for adopting cloud-based testing. The study also explored quality issues in cloud application development. As a special case, the research included a study on applicability of cloud computing in game development. The results can be used by companies to enhance the processes for managing cloudbased testing, evaluating practical cloud-based testing work and assessing the appropriateness of cloud-based testing for specific testing needs.

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Cloud computing, despite its success and promises, presents issues for businesses mi­grating their legacy applications to cloud. In this research legacy-to-cloud migration issues are reviewed based on literature findings and an experience report. Solutions are applied to Tieto Open Application Suite (TOAS) software development platform running on cloud infrastructure. It is observed that the migration strategy heavily affects the migration approach. For TOAS a strategy of redesigning the applications for cloud is suggested. Common migration-driven application level modifications in­clude adaptation to service-oriented architecture, load balancing, and runtime and technology changes. A cloud platform such as TOAS might introduce additional needs. Decision making on migration strategy is found to be an issue to be solved case by case. Use of assistive decision making tools is suggested.

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Nykyaikaiset pilvipalvelut tarjoavat suurille yrityksille mahdollisuuden tehostaa laskennallista tietojenkäsittelyä. Pilvipalveluiden käyttöönotto tuo mukanaan kuitenkin esimerkiksi useita tietoturvakysymyksiä, joiden vuoksi käyttöönoton tulee olla tarkasti suunniteltua. Tämä tutkimus esittelee kirjallisuuskatsaukseen perustuvan, asteittaisen suunnitelman pilvipalveluiden käyttöönotolle energialiiketoimintaympäristössä. Kohdeyrityksen sisäiset haastattelut ja katsaus nykyisiin energiateollisuuden pilviratkaisuihin muodostavat kokonaiskuvan käyttöönoton haasteista ja mahdollisuuksista. Tutkimuksen päätavoitteena on esittää ratkaisut tyypillisiin pilvipalvelun käyttöönotossa esiintyviin ongelmiin käyttöönottomallin avulla. Tutkimuksessa rakennettu käyttöönottomalli testattiin esimerkkitapauksen avulla ja malli todettiin toimivaksi. Ulkoisten palveluiden herättämien tietoturvakysymysten takia käyttöönoton ensimmäiset osiot, kuten lopputuotteen määrittely ja huolellinen suunnittelu, ovat koko käyttöönottoprosessin ydin. Lisäksi pilvipalveluiden käyttöönotto vaatii nykyiseltä käyttöympäristöltä uusia teknisiä ja hallinnollisia taitoja. Tutkimuksen tulokset osoittavat pilvipalveluiden monipuolisen hyödyn erityisesti laskentatehon tarpeen vaihdellessa. Käyttöönottomallin rinnalle luotu kustannusvertailu tukee kirjallisuuskatsauksessa esille tuotuja hyötyjä ja tarjoaa kohdeyritykselle perusteen tutkimuksen eteenpäin viemiselle.

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The purpose of this study was to find out how a software company can successfully expand business to the Danish software market through distribution channel. The study was commissioned by a Finnish software company and it was conducted using a qualitative research method by analyzing external and internal business environment, and interviewing Danish ICT organizations and M-Files personnel. Interviews were semi-structured interviews, which were designed to collect comprehensive information on the existing ICT and software market in Denmark. The research used three external and internal analyzing frameworks; PEST analysis (market level), Porter´s Five Force analysis (industry level competition) and SWOT analysis (company level). Distribution channels theory was a base to understand why and what kind of distribution channels the case company uses, and what kind of channels target markets companies’ uses. Channel strategy and design were integrated to the industry level analysis. The empirical findings revealed that Denmark has very business friendly ICT environment. Several organizations have ranked Denmark´s information and communication technology as the best in the world. Denmark’s ICT and software market are relatively small, compared to many other countries in Europe. Danish software market is centralized. Largest software clusters are in the largest cities; Copenhagen, Aarhus, Odense and Aalborg. From these clusters, software companies can most likely find suitable resellers. The following growing trends are clearly seen in the software market: mobile and wireless applications, outsourcing, security solutions, cloud computing, social business solutions and e-business solutions. When expanding software business to the Danish market, it is important to take into account these trends. In Denmark distribution channels varies depending on the product or service. For many, a natural distribution channel is a local partner or internet. In the public sector solutions are purchased through a public procurement process. In the private sector the buying process is more straight forwarded. Danish companies are buying software from reliable suppliers. This means that they usually buy software direct from big software vendors or local partners. Some customers prefer to use professional consulting companies. These consulting companies can strongly influence on the selection of the supplier and products, and in this light, consulting companies can be important partners for software companies. Even though the competition is fierce in ECM and DMS solutions, Danish market offers opportunities for foreign companies. Penetration to the Danish market through reseller channel requires advanced solutions and objective selection criteria for channel partners. Based on the findings, Danish companies are interested in advanced and efficient software solutions. Interest towards M-Files solutions was clearly seen and the company has excellent opportunity to expand business to the Danish market through reseller channel. Since the research explored the Danish ICT and software market, the results of the study may offer valuable information also to the other software companies which are expanding their business to the Danish market.

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Many producers of geographic information are now disseminating their data using open web service protocols, notably those published by the Open Geospatial Consortium. There are many challenges inherent in running robust and reliable services at reasonable cost. Cloud computing provides a new kind of scalable infrastructure that could address many of these challenges. In this study we implement a Web Map Service for raster imagery within the Google App Engine environment. We discuss the challenges of developing GIS applications within this framework and the performance characteristics of the implementation. Results show that the application scales well to multiple simultaneous users and performance will be adequate for many applications, although concerns remain over issues such as latency spikes. We discuss the feasibility of implementing services within the free usage quotas of Google App Engine and the possibility of extending the approaches in this paper to other GIS applications.