Towards Supporting the Extended DevOps Approach through Multi-cloud Architectural Patterns for Design and Pre-deployment - A Tool Supported Approach

Recently the world of Cloud Computing is witnessing two major trends: Multi-cloud applications pushed by the increasing diversity of Cloud services leading to hybrid infrastructures and the DevOps paradigm, promising increased trust, faster software releases, and the ability to solve critical issues quickly (Steinborn, 2018). This paper presents a solution for merging and adapting both trends so that the benefits for software developers and operators are multiplied. The authors describe a tool-supported approach to extend the DevOps philosophy with the objective of supporting the design and pre-deployment of multi-cloud software applications. The paper begins with the presentation of the theoretical concepts, the proceeds with the description of the developed tools and the discussion of the validation performed with a sandbox application.The project leading to this paper has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731533

Network Archaeology: Uncovering Ancient Networks from Present-day Interactions

Often questions arise about old or extinct networks. What proteins interacted in a long-extinct ancestor species of yeast? Who were the central players in the Last.fm social network 3 years ago? Our ability to answer such questions has been limited by the unavailability of past versions of networks. To overcome these limitations, we propose several algorithms for reconstructing a network's history of growth given only the network as it exists today and a generative model by which the network is believed to have evolved. Our likelihood-based method finds a probable previous state of the network by reversing the forward growth model. This approach retains node identities so that the history of individual nodes can be tracked. We apply these algorithms to uncover older, non-extant biological and social networks believed to have grown via several models, including duplication-mutation with complementarity, forest fire, and preferential attachment. Through experiments on both synthetic and real-world data, we find that our algorithms can estimate node arrival times, identify anchor nodes from which new nodes copy links, and can reveal significant features of networks that have long since disappeared.Comment: 16 pages, 10 figure

Portobiliary fistula in a liver transplant recipient treated with an endoscopically deployed fully covered self-expandable biliary metal stent

Biliary complications following liver transplantations, with leaks and bile duct strictures being the most common ones, are greatly feared. Portobiliary fistulas are rare, but may cause potentially life-threatening complications. The presented case shows the first successful treatment of a portobiliary fistula by an endoscopically deployed fully covered self-expandable metal stent after liver transplantation. In accordance to the already established use in refractory bile leaks, we believe that fully covered self-expandable metal stent is a safe and efficient treatment option for portobiliary fistula

The European Data Portal: Scalable harvesting and management of Linked Open Data

The European Data Portal fosters the adoption and distribution of Linked Open Data by offering more than 130 million RDF triples. It applies DCAT-AP, the RDF vocabulary for public sector datasets in Europe. Many Open Data solutions do not satisfactorily support this metadata specification. To address this problem, we designed and implemented a novel platform for harvesting and managing native DCAT-AP-compliant RDF. Our approach uses a triplestore as main database and applies state-of-the-art development and deployment patterns to ensure performance and scalability

Linked data in the European Data Portal: A comprehensive platform for applying DCAT-AP

The European Data Portal (EDP) is a central access point for metadata of Open Data published by public authorities in Europe and acquires data from more than 70 national data providers. The platform is a starting point in adopting the Linked Data specification DCAT-AP, aiming to increase interoperability and accessibility of Open Data. In this paper, we present the design of the central data management components of the platform, responsible for metadata storage, data harvesting and quality assessment. The core component is based on CKAN, which is extended by the support for native Linked Data replication to a triplestore to ensure legacy compatibility and the support for DCAT-AP. Regular data harvesting and the creation of detailed quality reports are performed by custom components adressing the requirements of DCAT-AP. The EDP is well on track to become the core platform for European Open Data and fostered the acceptance of DCAT-AP. Our platform is available here: https://www.europeandataportal.e