Complex user-end procedures for the execution of computationally expensive processes and tools on high performance computing platforms can hinder the scientific progress of researchers across many domains. In addition, such processes occasionally cannot be executed on user-end platforms either due to insufficient hardware resources or unacceptably long computing times. Such circumstances currently extend to highly sophisticated algorithms and tools utilized for analysis of fluorescent imaging data. Although an extensive collection of cloud-computing solutions exist allowing software developers to resolve these issues, such solutions often abstract both developers and integrators from the executing hardware particulars and can inadvertently incentivize non-ideal software design practices. The discussion herein consists of the theoretical design and real-world realization of an efficient architecture to enable direct multi-user parallel remote utilization of such research tools. Said networked scalable real-time architecture is multi-tier, extensible by design to a vast collection of application archetypes, and is not strictly limited to imaging analysis applications. Transport layer interfaces for packetized binary data transmission, asynchronous command issuance mechanisms, compression and decompression algorithm aggregation, and relational database management systems for inter-tier communication intermediation enable a robust, lightweight, and efficient architecture for networking and remotely interfacing with fluorescent imaging analysis processes. / M.S. / Collaboration amongst researchers within various technical domains who rely on information processing and analysis tools can be strengthened through the deployment of scientific computing infrastructure that enables their usage via a web interface. The architecture of such infrastructure is preferably efficient, lightweight, and simple while retaining potential future integration capabilities with additional research tools. This work presents the theoretical design and realization of an architecture for networking fluorescent imaging analysis processes so as to make them remotely usable within internal computer networks and across the world wide web.

<p dir="ltr">This research defined requirements for a "Community Cloud" computing model and evaluated multiple Kubernetes schedulers to determine an optimal approach to implementing the model.</p>

Yes / On the inception of the third millennium, there is much evidence that cloud technologies have become the strategic trend for many governments, not only for developed countries (e.g. the UK, Japan and the USA), but also developing countries (e.g. Malaysia and countries in the Middle East region). These countries have launched cloud computing movements for enhanced standardization of IT resources, cost reduction and more efficient public services. Cloud-based e-government services are considered to be one of the high priorities for government agencies in Jordan. Although experiencing phenomenal evolution, government cloud-services are still suffering from the adoption challenges of e-government initiatives (e.g. technological, human, social and financial aspects) which need to be considered carefully by governments contemplating their implementation. While e-government adoption from the citizens’ perspective has been extensively investigated using different theoretical models, these models have not paid adequate attention to security issues. This paper presents a pilot study to investigate citizens’ perceptions of the extent to which these challenges inhibit the acceptance and use of cloud computing in the Jordanian public sector and examine the effect of these challenges on the security perceptions of citizens. Based on the analysis of data collected from online surveys, some important challenges were identified. The results can help to guide successful acceptance of cloud-based e-government services in Jordan.

La croissance du réseau Internet, l'émergence de nouveaux besoins par l'avènement des terminaux dits intelligents (smartphones, tablettes tactiles, etc.) et l'apparition de nouvelles applications sous-jacentes induisent de nombreuses mutations dans l'usage de plus en plus massif des technologies de l'information dans notre vie quotidienne et dans tous les secteurs d'activités. Ces nouveaux usages ont nécessité de repenser le fondement même de l'architecture réseau qui a eu pour conséquence l'émergence de nouveaux concepts basés sur une vue "centrée sur l'usage" en lieu et place d'une vue "centrée sur le réseau". De fait, les mécanismes de contrôle du réseau de transport doivent non seulement exploiter les informations relatives aux plans de données, de contrôle et de gestion, mais aussi les connaissances, acquises ou apprises par inférence déductive ou inductive, sur l'état courant du réseau (trafic, ressources, rendu de l'application, etc.) de manière à accélérer la prise de décision par les éléments de contrôle du réseau. Les travaux faits dans le cadre de cette thèse concernent ce dernier aspect et rejoignent plus généralement ceux tournés sur les réseaux autonomiques. Il s'agit dans cette thèse de mettre en oeuvre des méthodes relatives à la gestion, à la distribution et à l'exploitation des connaissances nécessaires au bon fonctionnement du réseau de transport. Le plan de connaissances mis en oeuvre ici se base à la fois sur l'idée de développer une gestion au sein d'une structure hiérarchisée et adaptative où seuls certains noeuds sélectionnés sont en charge de la dissémination des connaissances et l'idée de relier ces noeuds au travers d'un ensemble de réseaux couvrants spécialisés permettant de faciliter l'exploitation de ces connaissances. Comparée aux plateformes traditionnellement utilisées, celle développée dans le cadre de cette thèse montre clairement l'intérêt des algorithmes élaborés au regard des temps d'accès, de distribution et de partage de charge entre les noeuds de contrôle pour la gestion des connaissances. A des fins de validation, cette plateforme a été utilisée dans deux exemples d'application: le Cloud computing et les smartgrids / The growth of the Internet, the emergence of new needs expressed by the advent of smart devices ( smartphones, touchpads , etc. ) and the development of new underlying applications induce many changes in the use of information technology in our everyday life and in all sectors. This new use that match new needs required to rethink the foundation of the network architecture itself, which has resulted in the emergence of new concepts based on a "use-centeric" view instead of a "network-centric" view. In fact, the control mechanisms of the transmission network must not only exploit the information on data, control and management planes, but also the knowledge acquired or learned by inductive or deductive inference on the current state of the network (traffic, resources, the rendering of the application, etc.) to accelerate decision making by the control elements of the network. This thesis is dealing with this latter aspect, which makes it consistent with work done on autonomic networks. It is about conceiving and implementing methods for the management, distribution and exploitation of knowledge necessary for the proper functioning of the transmission network. The knowledge plane that we implemented is based on both the idea of developing a management within an adaptive hierarchical structure where only some selected nodes are responsible for the dissemination of knowledge and the idea of linking these nodes through a spanning set of specialized networks to facilitate the exploitation of this knowledge. Compared to traditionally used platforms, the one developed in this thesis clearly shows the interest of the developed algorithms in terms of access time, distribution and load sharing between the control nodes for knowledge management. For validation purposes, our platform was tested on two application examples : Cloud computing and smart grids

Avec l’avènement du nomadisme, des périphériques mobiles, de la virtualisation et du Cloud Computing ces dernières années, de nouvelles problématiques sont nées aux vues des considérations écologiques, de la gestion d’énergie, de la qualité de service, des normes sécuritaires et bien d’autres aspects liés à nos sociétés. Pour apporter une solution à ces problèmes, nous avons défini la notion de Cloudlet tel un Cloud local où peuvent se virtualiser des périphériques et ses applications embarquées. Ensuite, nous avons conçu une architecture distribuée basée sur ce pattern d’architecture lié au Cloud Computing et à la virtualisation de ressources. Ces définitions permettent de placer notre travail par rapport aux autres approches de déportation d’applications mobiles.D’autre part, un réseau de Cloudlets permet la protection de l’activité effectuée sur un périphérique mobile par la déportation d’applications embarquées dans une machine virtuelle s’exécutant dans la Cloudlet, ainsi que le suivi des usagers dans leur déplacement.Ces définitions nous ont guidées dans l’écriture de spécifications formelles via une algèbre de processus d’ordre supérieure. Elles autorisent le calcul de la sémantique opérationnelle pour les différentes études de cas basées sur ce concept de Cloudlet. Ces spécifications ont permis de décrire une nouvelle vision de la composition des périphériques virtuels applicables à tous les périphériques, les capteurs ou les actuateurs. L’ensemble des équations obtenues constitue une définition formelle de référence non seulement pour le prototypage d’une Cloudlet mais aussi pour la construction des automates temporisés.En se basant sur la structure de nos spécifications, nous avons construit un modèle d’automates temporisés pour un réseau de Cloudlets. Par l’emploi de technique de model checking, nous avons établi des propriétés temporelles montrant que toute exécution d’une application mobile sur un périphérique mobile pouvait être déportée dans une Cloudlet sous condition d’une structure applicative. Ces travaux ont abouti à des choix techniques donnant lieu à un prototype d’une telle architecture distribuée par l’emploi de serveurs OSGi. D’une part, nous fournissons une architecture logicielle d’application mobile. D’autre part, nous mettons en œuvre le principe de migration vers une Cloudlet voisine et son retour. Ces résultats sont une validation de nos choix initiaux et attestent de la réalité de nos travaux. Ils autorisent la prise de mesure permettant de définir le coût d’une migration vers une Cloudlet pendant une exécution, ainsi que son suivi au cours du déplacement de l’usager / With the advent of nomadism, mobile devices, virtualization and cloud computing in recent years, new problems have arisen taking into account ecological concerns, energy management, quality of service, security standards and many other aspects related to our societies. To solve these problems, we define the concept of Cloudlet as a local cloud where virtual devices and embedded applications can be virtualized. Then, we design a distributed architecture based on this architectural pattern related to cloud computing and virtualization of resources. These notions allow us to position our work among other approaches to offload mobile applications in a Cloudlet.On the other hand, a network of Cloudlets helps to secure the activity carried out on a mobile device by offloading embedded applications in a running virtual machine in the Cloudlet, and also to monitor users during their movements.These definitions guided us towards writing formal specifications via a higher order processes of algebra. They facilitate the calculation of operational semantics for different case studies based on this Cloudlet concept. These specifications foster a new vision for designing virtual devices suitable to all devices, sensors or actuators. This set of equations constitutes a formal definition relevant not only for prototyping a Cloudlet but also for constructing a timed automata system.Following the structure of our specifications, we built a model of timed automata for a network of Cloudlets. Exploiting the model checking techniques, we have established temporal properties showing that any execution of a mobile application on a mobile device could be offloaded in a Cloudlet depending on a given software architecture. This work resulted in making technical choices leading to a prototype of such a distributed architecture using an OSGi server. A first result leads us to define a software architecture for mobile applications. Secondly, we implement the principle of migration to a Cloudlet neighbor. Our tests validate our initial choices and confirm the hypotheses of our work. They allow taking measures in order to assess the cost of an offloading to a Cloudlet during runtime, as well as keeping track during user’s movements

Les architectures de microservices sont considérées comme une architecture qui promet pour réaliser DevOps dans les organisations informatiques, car elles divisent les applications en services pouvant être mis à jour indépendamment. Toutefois, pour protéger les propriétés SLA (Service Level Agreement) lors de la mise à jour des microservices, les équipes de DevOps doivent gérer des scripts d'opérations complexes et sujets aux erreurs. Dans cet article, on utilise une approche basée sur l'architecture pour fournir un moyen simple et sûr pour mettre à jour les microservices. / Microservice architectures are considered really promising to achieve DevOps in IT organizations, because they split applications into services that can be updated independently from each others. But to protect SLA (Service Level Agreement) properties when updating microservices, DevOps teams have to deal with complex and error-prone scripts of management operations. In this paper, we leverage an architecture-based approach to provide an easy and safe way to update microservices.

COSTA, Philipp Bernardino. Uma abordagem para offloading em múltiplas plataformas móveis. 2014. 104 f. Dissertação (Mestrado em ciência da computação)- Universidade Federal do Ceará, Fortaleza-CE, 2014. / Submitted by Elineudson Ribeiro (elineudsonr@gmail.com) on 2016-07-12T15:14:02Z No. of bitstreams: 1 2014_dis_pbcosta.pdf: 2579064 bytes, checksum: 96c47daf2c7ccea16a7e2f6945cb1a7a (MD5) / Approved for entry into archive by Rocilda Sales (rocilda@ufc.br) on 2016-07-20T13:52:31Z (GMT) No. of bitstreams: 1 2014_dis_pbcosta.pdf: 2579064 bytes, checksum: 96c47daf2c7ccea16a7e2f6945cb1a7a (MD5) / Made available in DSpace on 2016-07-20T13:52:31Z (GMT). No. of bitstreams: 1 2014_dis_pbcosta.pdf: 2579064 bytes, checksum: 96c47daf2c7ccea16a7e2f6945cb1a7a (MD5) Previous issue date: 2014 / The mobile devices, like smartphones and tablets, have evolved considerably in last years in computational terms. Despite advances in their hardware, these devices have energy constraints regarded to their poor computing performance. Therefore, on this context, a new paradigm called Mobile Cloud Computing (MCC) has emerged. MCC studies new ways to extend the computational and energy resources, on mobile devices using the offloading techniques. A literature survey about MCC, has shown that there is no support heterogeneity on reported studies. In response, we propose a framework called MpOS (Multi-platform Offloading System), which supports the offloading technique in mobile application development, for two mobile platforms (Android and Windows Phone). Two case studies were developed with MpOS solution in order to evaluate the framework for each mobile platform. These case studies show how the offloading technique works on several perspectives. In BenchImage experiment, the offloading performance was analyzed, concerning to its execution on a remote execution site (a cloudlet on local network and public cloud in the Internet). The Collision application promotes the analysis of the offloading technique performance on real-time application, also using different serialization systems. In both experiments, results show some situations where it was better to run locally on smarphone, than performing the offloading operation and vice versa. / Os dispositivos móveis, especificamente os smartphones e os tablets, evoluíram bastante em termos computacionais nos últimos anos, e estão cada vez mais presentes no cotidiano das pessoas. Apesar dos avanços tecnológicos, a principal limitação desses dispositivos está relacionada com a questão energética e com seu baixo desempenho computacional, quando comparado com um notebook ou computador de mesa. Com base nesse contexto, surgiu o paradigma do Mobile Cloud Computing (MCC), o qual estuda formas de estender os recursos computacionais e energéticos dos dispositivos móveis através da utilização das técnicas de offloading. A partir do levantamento bibliográfico dos frameworks em MCC verificou-se, para o problema da heterogeneidade em plataformas móveis, ausência de soluções de offloading. Diante deste problema, esta dissertação apresenta um framework denominado de MpOS (Multiplataform Offloading System), que suporta a técnica de offloading, em relação ao desenvolvimento de aplicações para diferentes plataformas móveis, sendo desenvolvido inicialmente para as plataformas Android e Windows Phone. Para validação foram desenvolvidas para cada plataforma móvel, duas aplicações móveis, denominadas de BenchImage e Collision, que demonstram o funcionamento da técnica de offloading em diversos cenários. No caso do experimento realizado com BenchImage foi analisado o desempenho da aplicação móvel, em relação à execução local, no cloudlet server e em uma nuvem pública na Internet, enquanto no experimento do Collision (um aplicativo de tempo real) foi analisado o desempenho do offloading, utilizando também diferentes sistemas de serialização de dados. Em ambos os experimentos houve situações que era mais vantajoso executar localmente no smartphone, do que realizar a operação de offloading e vice-versa, por causa de diversos fatores associados com a qualidade da rede e com volume de processamento exigido nesta operação.

L'usage des plateformes de Cloud Computing offrant une Infrastructure en tant que service (IaaS) a augmenté au sein de l'industrie. Les infrastructures IaaS fournissent des ressources virtuelles depuis un catalogue de types prédéfinis. Les avancées dans le domaine de la virtualisation rendent possible la création et la destruction de machines virtuelles au fur et à mesure, avec un faible surcout d'exploitation. En conséquence, le bénéfice offert par les plate-formes IaaS est la possibilité de dimensionner une architecture virtuelle au fur et à mesure de l'utilisation, et de payer uniquement les ressources utilisées. D'un point de vue scientifique, les plateformes IaaS soulèvent de nouvelles questions concernant l'efficacité des décisions prises en terme de passage à l'échelle, et également l'ordonnancement des applications sur les plateformes dynamiques. Les travaux de cette thèse explorent ce thème et proposent des solutions à ces deux problématiques. La première contribution décrite dans cette thèse concerne la gestion des ressources. Nous avons travaillé sur le redimensionnement automatique des applications clientes de Cloud afin de modéliser les variations d'utilisation de la plateforme. De nombreuses études ont montré des autosimilarités dans le trafic web des plateformes, ce qui implique l'existence de motifs répétitifs pouvant être périodiques ou non. Nous avons développé une stratégie automatique de dimensionnement, capable de prédire le temps d'utilisation de la plateforme en identifiant les motifs répétitifs non périodiques. Dans un second temps, nous avons proposé d'étendre les fonctionnalités d'un intergiciel de grilles, en implémentant une utilisation des ressources à la demandes.Nous avons développé une extension pour l'intergiciel DIET (Distributed Interactive Engineering Toolkit), qui utilise un marché virtuel pour gérer l'allocation des ressources. Chaque utilisateur se voit attribué un montant de monnaie virtuelle qu'il utilisera pour exécuter ses tâches. Le mécanisme d'aide assure un partage équitable des ressources de la plateforme entre les différents utilisateurs. La troisième et dernière contribution vise la gestion d'applications pour les plateformes IaaS. Nous avons étudié et développé une stratégie d'allocation des ressources pour les applications de type workflow avec des contraintes budgétaires. L'abstraction des applications de type workflow est très fréquente au sein des applications scientifiques, dans des domaines variés allant de la géologie à la bioinformatique. Dans ces travaux, nous avons considéré un modèle général d'applications de type workflow qui contient des tâches parallèles et permet des transitions non déterministes. Nous avons élaboré deux stratégies d'allocations à contraintes budgétaires pour ce type d'applications. Le problème est une optimisation à deux critères dans la mesure où nous optimisons le budget et le temps total du flux d'opérations. Ces travaux ont été validés de façon expérimentale par leurs implémentations au sein de la plateforme de Cloud libre Nimbus et de moteur de workflow MADAG présent au sein de DIET. Les tests ont été effectuées sur une simulation de cosmologie appelée RAMSES. RAMSES est une application parallèle qui, dans le cadre de ces travaux, a été portée sur des plateformes virtuelles dynamiques. L'ensemble des résultats théoriques et pratiques ont débouché sur des résultats encourageants et des améliorations. / Infrastructure as a service (IaaS) Cloud platforms are increasingly used in the IT industry. IaaS platforms are providers of virtual resources from a catalogue of predefined types. Improvements in virtualization technology make it possible to create and destroy virtual machines on the fly, with a low overhead. As a result, the great benefit of IaaS platforms is the ability to scale a virtual platform on the fly, while only paying for the used resources. From a research point of view, IaaS platforms raise new questions in terms of making efficient virtual platform scaling decisions and then efficiently scheduling applications on dynamic platforms. The current thesis is a step forward towards exploring and answering these questions. The first contribution of the current work is focused on resource management. We have worked on the topic of automatically scaling cloud client applications to meet changing platform usage. There have been various studies showing self-similarities in web platform traffic which implies the existence of usage patterns that may or may not be periodical. We have developed an automatic platform scaling strategy that predicted platform usage by identifying non-periodic usage patterns and extrapolating future platform usage based on them. Next we have focused on extending an existing grid platform with on-demand resources from an IaaS platform. We have developed an extension to the DIET (Distributed Interactive Engineering Toolkit) middleware, that uses a virtual market based approach to perform resource allocation. Each user is given a sum of virtual currency that he will use for running his tasks. This mechanism help in ensuring fair platform sharing between users. The third and final contribution targets application management for IaaS platforms. We have studied and developed an allocation strategy for budget-constrained workflow applications that target IaaS Cloud platforms. The workflow abstraction is very common amongst scientific applications. It is easy to find examples in any field from bioinformatics to geology. In this work we have considered a general model of workflow applications that comprise parallel tasks and permit non-deterministic transitions. We have elaborated two budget-constrained allocation strategies for this type of workflow. The problem is a bi-criteria optimization problem as we are optimizing both budget and workflow makespan. This work has been practically validated by implementing it on top of the Nimbus open source cloud platform and the DIET MADAG workflow engine. This is being tested with a cosmological simulation workflow application called RAMSES. This is a parallel MPI application that, as part of this work, has been ported for execution on dynamic virtual platforms. Both theoretical simulations and practical experiments have shown encouraging results and improvements.

FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgico / Os dispositivos mÃveis, especificamente os smartphones e os tablets, evoluÃram bastante em termos computacionais nos Ãltimos anos, e estÃo cada vez mais presentes no cotidiano das pessoas. Apesar dos avanÃos tecnolÃgicos, a principal limitaÃÃo desses dispositivos està relacionada com a questÃo energÃtica e com seu baixo desempenho computacional, quando comparado com um notebook ou computador de mesa. Com base nesse contexto, surgiu o paradigma do Mobile Cloud Computing (MCC), o qual estuda formas de estender os recursos computacionais e energÃticos dos dispositivos mÃveis atravÃs da utilizaÃÃo das tÃcnicas de offloading. A partir do levantamento bibliogrÃfico dos frameworks em MCC verificou-se, para o problema da heterogeneidade em plataformas mÃveis, ausÃncia de soluÃÃes de offloading. Diante deste problema, esta dissertaÃÃo apresenta um framework denominado de MpOS (Multiplataform Offloading System), que suporta a tÃcnica de offloading, em relaÃÃo ao desenvolvimento de aplicaÃÃes para diferentes plataformas mÃveis, sendo desenvolvido inicialmente para as plataformas Android e Windows Phone. Para validaÃÃo foram desenvolvidas para cada plataforma mÃvel, duas aplicaÃÃes mÃveis, denominadas de BenchImage e Collision, que demonstram o funcionamento da tÃcnica de offloading em diversos cenÃrios. No caso do experimento realizado com BenchImage foi analisado o desempenho da aplicaÃÃo mÃvel, em relaÃÃo à execuÃÃo local, no cloudlet server e em uma nuvem pÃblica na Internet, enquanto no experimento do Collision (um aplicativo de tempo real) foi analisado o desempenho do offloading, utilizando tambÃm diferentes sistemas de serializaÃÃo de dados. Em ambos os experimentos houve situaÃÃes que era mais vantajoso executar localmente no smartphone, do que realizar a operaÃÃo de offloading e vice-versa, por causa de diversos fatores associados com a qualidade da rede e com volume de processamento exigido nesta operaÃÃo. / The mobile devices, like smartphones and tablets, have evolved considerably in last years in computational terms. Despite advances in their hardware, these devices have energy constraints regarded to their poor computing performance. Therefore, on this context, a new paradigm called Mobile Cloud Computing (MCC) has emerged. MCC studies new ways to extend the computational and energy resources, on mobile devices using the offloading techniques. A literature survey about MCC, has shown that there is no support heterogeneity on reported studies. In response, we propose a framework called MpOS (Multi-platform Offloading System), which supports the offloading technique in mobile application development, for two mobile platforms (Android and Windows Phone). Two case studies were developed with MpOS solution in order to evaluate the framework for each mobile platform. These case studies show how the offloading technique works on several perspectives. In BenchImage experiment, the offloading performance was analyzed, concerning to its execution on a remote execution site (a cloudlet on local network and public cloud in the Internet). The Collision application promotes the analysis of the offloading technique performance on real-time application, also using different serialization systems. In both experiments, results show some situations where it was better to run locally on smarphone, than performing the offloading operation and vice versa.

Submitted by Irene Nascimento (irene.kessia@ufpe.br) on 2016-10-18T19:25:38Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) mestrado_thiago_jamir.pdf: 1864217 bytes, checksum: 4e432bf2e6196fc2e2fb739007114e2e (MD5) / Made available in DSpace on 2016-10-18T19:25:38Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) mestrado_thiago_jamir.pdf: 1864217 bytes, checksum: 4e432bf2e6196fc2e2fb739007114e2e (MD5) Previous issue date: 2014-04-05 / Nos últimos anos, o volume de dados gerados por indivíduos e organizações tem crescido exponencialmente. Estima-se que globalmente existia 2.7 zetabytes em 2012 e esse número tem dobrado a cada dois anos. Além disso, com a popularização de dispositivos móveis conectados, cresceu-se a necessidade de que usuários tenham acesso a arquivos de forma ubíqua. As soluções tradicionais de backup e armazenamento de arquivos online já não conseguem suprir as necessidades atuais dos usuários. A utilização de Cloud Storage para backup e sincronização de arquivos vem a ser uma ferramenta de grande valia para esse tipo de problema. Porém, implementar um sistema deste tipo vem a ser um desafio tecnológico relevante. Nesse sentido, este trabalho se propõe a resolver o problema de armazenamento de arquivos, propondo uma arquitetura de Cloud Storage para armazenamento de arquivos. Ao longo trabalho, é feita uma análise dos principais direcionadores de negócio para Cloud Storage e armazenamento de arquivos, levantando insumos para se projetar uma arquitetura. Tal arquitetura é descrita em nível de detalhe para que se possa ser implementada. Finalmente, o trabalho é validado através de uma avaliação de arquitetura cuja metodologia foi adaptada de acordo com as características da equipe de avaliação. / In the last years, the amount of data generated by individuals and organizations has grown exponentially. It is estimated that there were 2.7 zettabytes of global data in 2012, and this number has doubled each two years. In addition to this, with the popularization of mobile connected devices, the user’s need to have ubiquous access has grown. Traditional solutions for backup and online file storage can no longer meet the current needs. The use of cloud storage for backup and file synchronization becomes a tool of great value to this kind of problem. However, implementing such a system becomes a significant technological challenge. Thus, this works proposes to solve the problem of storing files, designing a Cloud Storage architecture for storing archives. Throughout work, an analysis of the key business drivers for Cloud Storage and File storage is done by lifting inputs for designing an architecture. This architecture is described in detail for level that can be implemented. Finally, the work is validated through an evaluation of architecture whose methodology was adapted according to the characteristics of the evaluation team.