Made available in DSpace on 2016-08-17T14:53:23Z (GMT). No. of bitstreams: 1 Dissertacao Wagner Elvio.pdf: 4463476 bytes, checksum: 4fda2686652d403cd2641f98f3b51575 (MD5) Previous issue date: 2012-10-10 / The antivirus system and firewall are protection systems designed to prevent malicious work in the network, thus constituting a barrier to invaders (e.g. vírus, worms e hackers). However, there is no guarantee a full protection to network and computers, invasions can occur by exploiting vulnerabilities, known, and allow running programs remotely, changing privileges within the system and the dissemination of important information. In this case, Intrusion Detection System IDS (Intrusion Detection System) allows the detection of intrusions and subsequent notification to the network administrator or, in conjunction with the firewall blocks the port used in the invasion or the IP address of the attacker. An important factor for the intrusion detection is the quality of subscriber base. However IDS systems are isolated systems and the interoperability among different vendors IDS is complex and difficult to implement. Existing IDS systems in the literature, including the IDS NIDIA (Instrusion-Detection System Network Intrusion Detection System based on Intelligent Agents) are isolated systems, are not easily reused. Generally, they communicate using different protocols and are designed with different programming paradigms. In this work it is proposed an architecture based on the philosophy SOA (Service Oriented Architecture) to support interoperability between IDS systems. The IDS-NIDIA will be adapted and extended according to the SOA philosophy, containing layers of web services in order to provide a static service composition between the layers of the application and reuse of information with other IDS s. / Os sistemas antivírus e firewall são sistemas de proteção que visam impedir a execução de ações maléficas na rede, constituindo, portanto, uma barreira aos invasores (e.g.vírus, worms e hackers). Entretanto, não há como garantir uma proteção total da rede e dos computadores, podendo ocorrer invasões através da exploração de vulnerabilidades, já conhecidas, que permitem a execução de programas remotamente, a alteração de privilégios dentro do sistema e a divulgação de informações importantes. Neste caso, o Sistema de Detecção de Intrusão-IDS(Intrusion Detection System) permite a detecção de intrusões e a consequente notificação ao administrador da rede ou, em conjunto com o firewall, bloqueia a porta utilizada na invasão ou o endereço IP do atacante. Um fator importante para a detecção de intrusões é a qualidade da base de assinaturas. Entretanto os sistemas IDS são sistemas isolados e a interoperabilidade entre IDS de fornecedores diferentes é complexa e de difícil implementação. Os sistemas IDS existentes na literatura, incluindo o IDS-NIDIA (Instrusion Detection System- Network Intrusion Detection System based on Intelligent Agents), são sistemas isolados, não são facilmente reutilizados. Geralmente, estes se comunicam utilizando diferentes protocolos e são criados com paradigmas de programação diferentes. É proposta uma arquitetura baseado na filosofia SOA (Service Oriented Architecture ) para suportar a interoperabilidade entre sistemas IDS. O sistema IDS-NIDIA será adaptado e estendido de acordo com esta filosofia SOA, contendo camadas de serviços web com o propósito de oferecer uma composição de serviço estática entre as camadas de aplicação e o reuso de informações com outros IDS s.

A predição de estruturas de proteínas é um campo de pesquisa que busca simular o enovelamento de cadeias de aminoácidos de forma a descobrir as funções das proteínas na natureza, um processo altamente dispendioso por meio de métodos in vivo. Inserida no contexto da Bioinformática, é uma das tarefas mais computacionalmente custosas e desafiadoras da atualidade. Devido à complexidade, muitas pesquisas se utilizam de gateways científicos para disponibilização de ferramentas de execução e análise desses experimentos, aliado ao uso de workflows científicos para organização de tarefas e disponibilização de informações. No entanto, esses gateways podem enfrentar gargalos de desempenho e falhas estruturais, produzindo resultados de baixa qualidade. Para atuar nesse contexto multifacetado e oferecer alternativas para algumas das limitações, esta tese propõe uma arquitetura modular baseada nos conceitos de Service Oriented Architecture (SOA) para oferta de recursos computacionais em gateways científicos, com foco nos experimentos de Protein Structure Prediction (PSP). A Arquitetura Modular Distribuída para auxílio à Predição de Estruturas de Proteínas (MDAPSP) é descrita conceitualmente e validada em um modelo de simulação computacional, no qual se pode identificar suas capacidades, detalhar o funcionamento de seus módulos e destacar seu potencial. A avaliação experimental demonstra a qualidade dos algoritmos propostos, ampliando a capacidade de atendimento de um gateway científico, reduzindo o tempo necessário para experimentos de predição e lançando as bases para o protótipo de uma arquitetura funcional. Os módulos desenvolvidos alcançam boa capacidade de otimização de experimentos de PSP em ambientes distribuídos e constituem uma novidade no modelo de provisionamento de recursos para gateways científicos. / PSP is a scientific process that simulates the folding of amino acid chains to discover the function of a protein in live organisms, considering that its an expensive process to be done by in vivo methods. PSP is a computationally demanding and challenging effort in the Bioinformatics stateof- the-art. Many works use scientific gateways to provide tools for execution and analysis of such experiments, along with scientific workflows to organize tasks and to share information. However, these gateways can suffer performance bottlenecks and structural failures, producing low quality results. With the goal of offering alternatives to some of the limitations and considering the complexity of the topics involved, this thesis proposes a modular architecture based on SOA concepts to provide computing resources to scientific gateways, with focus on PSP experiments. The Modular Distributed Architecture to support Protein Structure Prediction (MDAPSP) is described conceptually and validated in a computer simulation model that explain its capabilities, detail the modules operation and highlight its potential. The performance evaluation presents the quality of the proposed algorithms, a reduction of response time in PSP experiments and prove the benefits of the novel algorithms, establishing the basis for a prototype. The new modules can optmize the PSP experiments in distributed environments and are a innovation in the resource provisioning model for scientific gateways.

Orientador: Edmundo Roberto Mauro Madeira / Dissertação (mestrado) ¿ Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-24T01:33:20Z (GMT). No. of bitstreams: 1 Silva_GeraldoMagela_M.pdf: 6211710 bytes, checksum: 5a88c999846d2e6c89c5a5487e7cbed2 (MD5) Previous issue date: 2013 / Resumo: Agências governamentais ao redor do mundo estão realizando grandes investimentos na utilização de Tecnologia da Informação e Comunicação em suas atividades. Essa tendência, conhecida como Governo eletrônico, impulsiona grande demanda por pesquisas cujo foco principal é o desenvolvimento de aplicações destinadas a um governo mais transparente e colaborativo. Aplicações para esse tipo de cenário introduzem uma série de desafios que precisam ser enfrentados, incluindo maior interoperabilidade entre sistemas, escalabilidade, questões de segurança, entre outros. Nesse sentido, o paradigma de Arquitetura Orientada a Serviços (SOA) apresenta-se como uma interessante proposta para mitigar a heterogeneidade dos serviços prestados pelas diversas entidades envolvidas. Além disso, computação em grade pode ser considerada uma solução promissora para aplicações de middleware em Governo eletrônico, graças à sua alta capacidade de armazenamento e processamento, além de sua recente orientação a serviços, tornando-a uma poderosa ferramenta para aplicações intra-domínio. Considerando esses desafios, este trabalho propõe uma plataforma para aplicações de Governo eletrônico em sistemas em grades utilizando serviços de suporte fornecidos pelo Globus Toolkit 4 (GT4) no contexto da Web Semântica. O trabalho inclui a implementação de um protótipo do middleware e sua validação através de um cenário de aplicação / Abstract: Government agencies around the world are making large investments in the use of Information and Communication Technology in their activities. This trend, known as electronic government, drives a demand for research focused on development of applications aimed at a more transparent and collaborative government. Applications for this type of scenario pose a series of challenges to be faced, including greater interoperability between systems, scalability, and security issues, among others. In this sense, the paradigm of Service-Oriented Architecture (SOA) presents itself as an interesting proposal to mitigate the heterogeneity of services provided by various involved entities. Furthermore, grid computing can be considered a promising solution for middleware applications in e-Government due to its high storage and processing capacity, and also its recent service orientation, making it a powerful tool for intra-domain applications. Considering these challenges, this dissertation proposes a platform for e-Government applications on grid computing, using the support services provided by the Globus Toolkit 4 (GT4) in the context of the Semantic Web. The work includes the implementation of a middleware prototype and its validation through an application scenario / Mestrado / Ciência da Computação / Mestre em Ciência da Computação

Les travaux présentés dans cette thèse concernent des problématiques d'architecture logicielle multi-domaines pour le développement d’applications distribuées. Ces applications sont caractérisées aujourd’hui comme des systèmes ouverts, complexes, hétérogènes et à large échelle. Les approches traditionnelles, telles que l’approche orienté objet, n’offrent plus un paradigme de conception suffisant pour appréhender la complexité de tels systèmes. Ces nouvelles tendances ont conduit à l’émergence d’approches de plus haut niveau telles que les approches orientées services, composants ou agents. Chacune de ces approches offrent des intérêts et des caractéristiques propres dans le développement d’applications distribuées. Les services offrent une abstraction et une interopérabilité à large échelle. Abstraction dans le sens où un service permet de spécifier un élément fonctionnel sans préciser comment cet élément est implémenté. Les composants sont une approche robuste basée sur la composition et la réutilisation d’éléments clairement définis par leurs interfaces. Les agents sont eux des éléments présentant un comportement dynamique dirigé par un but et des interactions de haut niveau avec les autres agents formant l’application, vue comme une organisation de services collaboratifs. D’un point de vue conceptuel, le service peut donc être perçu comme le modèle « métier » de l’application, alors que les composants et les agents constituent un modèle d’implémentation. L’étude de ces différents domaines et des modèles associés, a montré que les approches composants et agents sont complémentaires, les points forts d’une approche représentant les faiblesses de l’autre. Face à ce constat, il nous est paru intéressant d’intégrer ces deux approches, au sein d’une même démarche de conception. Cela permet, d’une part, qu’une approche puisse bénéficier des intérêts de l’autre et d’autre part, d’utiliser conjointement des agents et des composants dans la conception d'une même application. La démarche que nous avons adoptée consiste à considérer les services comme pivot d’interaction afin de rendre possible l’interopérabilité des agents et des composants. Pour supporter cette démarche, nous avons défini un processus de conception basé sur l’Ingénierie Des Modèles qui contient quatre modèles conceptuels (Domain Specific language) dont l’intérêt est de mettre l’accent sur les concepts de services et d’interaction. Nous avons ainsi défini un modèle de services, un modèle de composants et un modèle d’agents. Enfin, un modèle mixte appelé CASOM, Component Agent Service Oriented Model, permet de spécifier une application via une combinaison des trois domaines précédents. Ensuite, des règles de correspondances ont été définies entre les quatre modèles pour pouvoir par exemple transformer une spécification agents en une spécification composants ou mixte. L'implémentation de ces transformations a été réalisée en langage ATL (ATLAS Transformation Language). / The presented work considers problems related to multi-domain software architecture for the development of distributed applications. These applications are large-scaled, heterogeneous, open and complex software systems. Traditional approaches such as object-oriented are no longer sufficient to represent such complex systems. These trends lead to the emergence of higher-level approaches such as service-oriented, components or agents. Each one of these approaches offers interests and characteristics in the development of distributed applications. Services provide an abstraction and interoperability in a large scale. Abstraction is in the sense that a service can specify a functional element without specifying how this element is implemented. The components are a robust approach based on composition and reusability through their clearly defined interfaces. Agents are elements which are characterized by dynamic goal directed behaviours and high-level interactions with other agents forming the application, seen as an organization for collaborative services. From a conceptual point of view, the service can be seen as the “business” model of an application, while components and agents are the implementation models. The study of these different domains, with their related models, showed that the components and agents approaches are complementary; the strengths of one approach overcome the weaknesses of the other. Therefore, we are interested in the integration of these two approaches in a single design approach. This allows an approach to benefit from the interests of the other, on one hand and the use of agents and components jointly in the design of an application on the other hand. To reach our objective, we consider services as pivot of interaction between agents and components. The result of our analysis leads us to develop a design process based on Model-Driven Engineering which contains four conceptual models (Domain Specific Languages) with the main interest of focusing on the concepts of services and interaction. We then defined a service, component and agent models. Finally, a hybrid model called CASOM, Component Agent Service Oriented Model, was proposed that allows application specification via a combination of the three domains. Then, mapping rules have been defined between the four models in order to transform agents specification into components specification or mixed. The implementation of these transformations was done in ATL language (ATLAS Transformation Language).

The service oriented computing paradigm is a new model for distributed computing and due to its simplicity and powerful features, it is being popular and has a wide variety of implementation in different scenarios. The already built system is studies in detail, which was totally implemented using the Grid Technology. The idea of the current work is how we can implement the same functionality in the non-real time environment. The basic idea is to merge the web services and grid services to formulate the unique concept of context dependent quality of service (QoS) for both real time and non-real time solutions. When we merge these different types of services, the main focusing point is to define the service level agreement (SLA) when these different qualified services want to interact with each other. This document discusses and formulates the theoretical aspects, which in future work, can be consider for the practical implementation.

With the proliferation of Internet, ERP systems like all the domains of Information Technology have known an important evolution. This final thesis project is a study about the evolution of ERP systems, more precisely about their migration to the Web giving birth to a new generation of systems: the Web-Based or Web-enabled ERP systems. This migration to the Web is justified by the difficulty of making possible the communication between partner’s legacy systems and the organizations’ ERP systems. A historical evolution of these systems is presented in order to understand the reasons that lead vendors to adopt the Web Service Technology. Based on different studies, the main technologies such as Web services, Service-Oriented Architecture and Web Application server are also presented. From an interpretative research approach mySAP ERP has been chosen as a case study. This Master’s thesis has been led into AIRBUS France Company within the framework of the SAP Customer Competence Center (SAPCCC) Web site project. The project is aimed at re-building the SAPCCC Web site. The new characteristic of the Web site is to make it accessible by all AIRBUS partners working with SAP applications. To make the Web site accessible by the partners from their own applications located on their own platforms the development has been done thanks to mySAP ERP which is an ERP using the Web service technology. Finally, this thesis presents a comparative study between traditional ERP systems and the new generation of Web-based ERP systems.

In this thesis we will identify which are the desired features and functionalities for implementing a system capable of acting as an information bridge for content available in the “wired” Internet to be delivered to mobile devices. We will also explore how to design and build such a system based on the specifications within parts of the MUSIS project. The MUSIS’ system development is used as a base of the work described in this thesis and the experiences from those efforts are used in order to design a system with more focus on data portability and media migration. During the development of the MUSIS platform, problems related to system upgrading, i.e. adding new ad-hoc functionalities were discovered. Due to the fact that a user-centred design approach was taken, this was essential in the project. To solve some of these issues, we propose a new component-based system with a high level of scalability and re-usability. We name this system Collect, Convert and Send, CCS. The system shall be seen as a base that can be used as a core system for different projects where interoperability of content between different platforms, devices or systems is important. The implementation of the system is based on the use cases and those theoretical aspects and ideas related to component software, interoperability, media migration and metadata in a Web service context. The results of our efforts give some indications that the use of component software gives a foundation for a service-oriented architecture.

This thesis emphasizes on investigating the relationship between the quality attributes and service oriented architecture (SOA). Due to quality attributes requirements drive the design of software architecture, it is necessary to maintain the positive quality of SOA and improve the negative quality of SOA. This thesis gives an introduction to SOA, Enterprise Service Bus (ESB) and MULE. Then, it covers information on quality of systems and tactics for achieving each quality attribute. Finally, we discuss the quality of SOA in detail, and illustrate how to set up a SOA and how to improve its quality using a case of an order for supermarket. / Order system

This Master’s Thesis examines and documents challenges related to the flexible interchange of web services within a cross-cloud Service Oriented Computing scenario (SOC).Starting with a theoretical approach, hypotheses are defined and processed to create testing scenarios for a practical examination. Both examinations are used to identify possible challenges. Next, encountered challenges are described, discussed and classified. Lastly, solution approaches to identified challenges are presented. The solution approaches concern related topics, such as service standardization, semantic methods, heuristics, and security/trust mechanisms. Several approaches to different challenges are reviewed in this particular context, to present an overview for future research on the subject.It is remarkable that there will be more service standardization in the future, but to achieve full automation it will be, on the long run, necessary to evolve and adopt more sophisticated solution approaches such as semantic methods or heuristics.This work is embedded into the framework of a research co-operation between the Linnaeus University Växjö and the University of Applied Sciences Karlsruhe. Results however are also applicable to other research scenarios.

In future service markets a selection of functionally equal services is omnipresent. The evolving challenge, finding the best-fit service, requires a distinction between the non-functional service characteristics (e.g., response time, price, availability). Service providers commonly capture those quality characteristics in so-called Service Level Agreements (SLAs). However, a service selection based on SLAs is inadequate, because the static SLAs generally do not consider the dynamic service behaviors and quality changes in a service-oriented environment. Furthermore, the profit-oriented service providers tend to embellish their SLAs by flexibly handling their correctness. Within the SOC (Service Oriented Computing) research project of the Karlsruhe University of Applied Sciences and the Linnaeus University of Sweden, a service broker framework for an optimized web service selection is introduced. Instead of relying on the providers’ quality assertions, a distributed knowledge is developed by automatically monitoring and measuring the service quality during each service consumption. The broker aims at optimizing the service selection based on the past real service performances and the defined quality preferences of a unique consumer.This thesis work concerns the design, implementation and evaluation of appropriate machine learning methods with focus on the broker’s best-fit web service selection. Within the time-critical service optimization the performance and scalability of the broker’s machine learning plays an important role. Therefore, high- performance algorithms for predicting the future non-functional service characteristics within a continuous machine learning process were implemented. The introduced so-called foreground-/background-model enables to separate the real-time request for a best-fit service selection from the time-consuming machine learning. The best-fit services for certain consumer call contexts (e.g., call location and time, quality preferences) are continuously pre-determined within the asynchronous background-model. Through this any performance issues within the critical path from the service request up to the best-fit service recommendation are eliminated. For evaluating the implemented best-fit service selection a sophisticated test data scenario with real-world characteristics was created showing services with different volatile performances, cyclic performance behaviors and performance changes in the course of time. Besides the significantly improved performance, the new implementation achieved an overall high selection accuracy. It was possible to determine in 70% of all service optimizations the actual best-fit service and in 94% of all service optimizations the actual two best-fit services.