fault tolerant off line data migration the hegira4clouds approach

Cloud offers the potential to support high scalability of applications. An increase in the application workload is typically handled by triggering the replication of its components so as to increase the application computational capability offered to users

Ontology-Based Resolution of Cloud Data Lock-in Problem

Cloud computing is nowadays becoming a popular paradigm for the provision of computing infrastructure that enables organizations to achieve financial savings. On the other hand, there are some known obstacles, among which vendor lock-in stands out. Furthermore, due to missing standards and heterogeneities of cloud storage systems, the migration of data to alternative cloud providers is expensive and time-consuming. We propose an approach based on Semantic Web services and AI planning to tackle cloud vendor data lock-in problem. To complete the mentioned task, data structures and data type mapping rules between different types of cloud storage systems are defined. The migration of data among different providers of platform as a service is presented in order to prove the practical applicability of the proposed approach. Additionally, this concept was also applied to software as a service model of cloud computing to perform one-shot data migration from Zoho CRM to Salesforce CRM

Data migration between different data models of NOSQL databases

Orientador : Marcos Didonet Del FabroDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 17/02/2017Inclui referências : f. 76-79Resumo: Desde sua origem, as bases de dados Nosql têm alcançado um uso generalizado. Devido à falta de padrões de desenvolvimento nesta nova tecnologia emergem grandes desafios. Existem modelos de dados , linguagens de acesso e frameworks heterogêneos, o que torna a migração de dados ainda mais complexa. A maior parte das soluções disponíveis hoje se concentra em fornecer uma representação abstrata e genérica para todos os modelos de dados. Essas soluções se concentram em adaptadores para acessar homogeneamente os dados, mas não para implementar especificamente transformações entre eles. Essas abordagens muitas vezes precisam de um framework para acessar os dados, o que pode impedir de usá-los em alguns cenários. Entre estes desafios, a migração de dados entre as várias soluções revelou-se particularmente difícil. Esta dissertação propõe a criação de um metamodelo e uma série de regras capazes de auxiliar na tarefa de migração de dados. Os dados podem ser convertidos para vários formatos desejados através de um estado intermediário. Para validar a solução foram realizados vários testes com diversos sistemas e utilizando dados reais disponíveis. Palavras Chave: NoSql Databases. Metamodelo. Migração de Dados.Abstract: Since its origin the NoSql Database have achieved widespread use. Due to the lack of standards for development in this new technology great challenges emerges. Among these challenges, the data migration between the various solutions has proved particularly difficult. There are heterogeneous datamodels, access languages and frameworks available, which makes data migration even more complex. Most part of the solutions available today focus on providing an abstract and generic representation for all data models. These solutions focus in design adapters to homogeneously access the data, but not to specifically implement transformations between them. These approaches often need a framework to access the data, which may prevent from using them in some scenarios. This dissertation proposes the creation of a metamodel and a series of rules capable of assisting in the data migration task. The data can be converted to various desired formats through an intermediate state. To validate the solution several tests were performed with different systems and using real data available. Key-words: NoSql Databases. Metamodel. Data Migration

An ontology-based secure design framework for graph-based databases

Graph-based databases are concerned with performance and flexibility. Most of the existing approaches used to design secure NoSQL databases are limited to the final implementation stage, and do not involve the design of security and access control issues at higher abstraction levels. Ensuring security and access control for Graph-based databases is difficult, as each approach differs significantly depending on the technology employed. In this paper, we propose the first technology-ascetic framework with which to design secure Graph-based databases. Our proposal raises the abstraction level by using ontologies to simultaneously model database and security requirements together. This is supported by the TITAN framework, which facilitates the way in which both aspects are dealt with. The great advantages of our approach are, therefore, that it: allows database designers to focus on the simultaneous protection of security and data while ignoring the implementation details; facilitates the secure design and rapid migration of security rules by deriving specific security measures for each underlying technology, and enables database designers to employ ontology reasoning in order to verify whether the security rules are consistent. We show the applicability of our proposal by applying it to a case study based on a hospital data access control.This work has been developed within the AETHER-UA (PID2020-112540RB-C43), AETHER-UMA (PID2020-112540RB-C41) and AETHER-UCLM (PID2020-112540RB-C42), ALBA (TED2021-130355B-C31, TED2021-130355B-C33), PRESECREL (PID2021-124502OB-C42) projects funded by the “Ministerio de Ciencia e Innovación”, Andalusian PAIDI program with grant (P18-RT-2799) and the BALLADER Project (PROMETEO/2021/088) funded by the “Consellería de Innovación, Universidades, Ciencia Sociedad Digital”, Generalitat Valenciana

Um toolkit web para integração de serviços cloud

Mestrado em Engenharia de Computadores e TelemáticaThe latest trends on cloud and multi-cloud computing are well established in our society. However, the lack of interoperability raised a few issues that have been tackled with open standards and integration frameworks. Still, web application development adds a few more issues when accessing and managing cloud resources in the application’s logic. This thesis describes an extensible platform architecture for portable cloud service integration, designed to satisfy requirements and usage patterns of web applications. Moreover, it implements access control policies and mechanisms for cloud resource sharing, delegation and replication. Finally, the thesis presents performance tests of the solution, along with an analysis and discussion of the results obtained.A utilização do paradigma de computação na cloud está hoje generalizada em diferentes áreas da sociedade. No entanto, a utilização de recursos fornecidos por múltiplos fornecedores de serviços tem um conjunto de problemas associados à normalização e interoperabilidade destes serviços. Os esforços para ultrapassar tal problema têm passado pela criação de especificações abertas e frameworks de integração. Contudo, o desenvolvimento de aplicações web levanta outras questões no que diz respeito ao acesso e gestão de recursos cloud por parte da lógica da aplicação executada no lado do cliente. Esta dissertação propõe e desenvolve uma plataforma extensível para a integração de serviços cloud, desenhada para satisfazer os requisitos e padrões comuns das aplicações web. A plataforma inclui políticas de controlo de acesso e mecanismos para a partilha, delegação e replicação de recursos. Finalmente, apresentam-se testes de desempenho da solução implementada, seguindo-se uma análise e discussão dos resultados obtidos

SEMANTIC INTEROPERABILITY AND DATA MAPPING IN EHR SYSTEMS

The diversity in representation of medical data prevents straightforward data mapping, standardization and interoperability between the heterogeneous systems. We identify a specific problem, namely the need to achieve interoperability by applying a standard based data modeling approach to achieve a common platform that serves to improve the health data mapping of unstructured data and addresses ambiguity issues when dealing with health data from heterogeneous systems. In this thesis, we proposed an original Hybrid algorithm that identifies the attributes of data in heterogeneous systems based on critical medical standards and protocols and then performs semantic integration to form a uniform interoperable system. Also, efficient data modeling techniques are introduced for improving data storage and extraction. We tested the proposed algorithm with multiple data sets and compared the proposed approach with traditional data modeling approaches. We found that the proposed approach demonstrated performance improvements and reduction in data losses

Open data observatories: a survey

Open Data Observatories refer to online data platforms that provide free, real-time and historical data. They facilitate collaborative and unified environments for citizens and applications, supplemented with reusable datasets, analysis tools and interactive visualisations. Open Data Observatories collect and integrate various data types from multiple disparate providers. Data types include variables such as weather, traffic and social media, while providers are mainly the interconnected devices, services and individuals in the Internet of Things (IoT). The continually increasing volume and variety of such data require timely integration, management and analysis - yet to be presented in a way that end-users can easily understand. Data that interact in real-time preserve their value and enable a more in-depth understanding of real-world choices. This survey explored Open Data and reviewed twelve data observatories, focusing on their data management approaches. We investigated the observatories aims, designs and data types for some applied domains- namely transport, energy, environment, and social sensing. In what follows, we outlined five research challenges that influence their implementation

Arquiteturas federadas para integração de dados biomédicos

Doutoramento Ciências da ComputaçãoThe last decades have been characterized by a continuous adoption of IT solutions in the healthcare sector, which resulted in the proliferation of tremendous amounts of data over heterogeneous systems. Distinct data types are currently generated, manipulated, and stored, in the several institutions where patients are treated. The data sharing and an integrated access to this information will allow extracting relevant knowledge that can lead to better diagnostics and treatments. This thesis proposes new integration models for gathering information and extracting knowledge from multiple and heterogeneous biomedical sources. The scenario complexity led us to split the integration problem according to the data type and to the usage specificity. The first contribution is a cloud-based architecture for exchanging medical imaging services. It offers a simplified registration mechanism for providers and services, promotes remote data access, and facilitates the integration of distributed data sources. Moreover, it is compliant with international standards, ensuring the platform interoperability with current medical imaging devices. The second proposal is a sensor-based architecture for integration of electronic health records. It follows a federated integration model and aims to provide a scalable solution to search and retrieve data from multiple information systems. The last contribution is an open architecture for gathering patient-level data from disperse and heterogeneous databases. All the proposed solutions were deployed and validated in real world use cases.A adoção sucessiva das tecnologias de comunicação e de informação na área da saúde tem permitido um aumento na diversidade e na qualidade dos serviços prestados, mas, ao mesmo tempo, tem gerado uma enorme quantidade de dados, cujo valor científico está ainda por explorar. A partilha e o acesso integrado a esta informação poderá permitir a identificação de novas descobertas que possam conduzir a melhores diagnósticos e a melhores tratamentos clínicos. Esta tese propõe novos modelos de integração e de exploração de dados com vista à extração de conhecimento biomédico a partir de múltiplas fontes de dados. A primeira contribuição é uma arquitetura baseada em nuvem para partilha de serviços de imagem médica. Esta solução oferece um mecanismo de registo simplificado para fornecedores e serviços, permitindo o acesso remoto e facilitando a integração de diferentes fontes de dados. A segunda proposta é uma arquitetura baseada em sensores para integração de registos electrónicos de pacientes. Esta estratégia segue um modelo de integração federado e tem como objetivo fornecer uma solução escalável que permita a pesquisa em múltiplos sistemas de informação. Finalmente, o terceiro contributo é um sistema aberto para disponibilizar dados de pacientes num contexto europeu. Todas as soluções foram implementadas e validadas em cenários reais