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Today the exponential growth of digital arts and humanities related research content, such as social networks or digital photos, requires an extensive use of various e-Infrastructure services to efficiently store, find, search, access and analyze them. However, in the digital arts and humanities (DH), the e-Infrastructure is still not exploited at its full potential. The main reason for that condition is the lack of awareness of the existence of such resources, no access, and the lack of technical knowledge. In order to overcome these drawbacks, the DARIAH Competence Centre (DARIAH CC), a member of the EGI-Engage H2020 project, is established. DARIAH CC is a virtual research group, gathering researchers from computer science and humanities over a common goal to broaden the usage of the advanced research infrastructures and facilitate the vision of Open Science Commons in the domain of Arts and Humanities. The CC aims to approach the cloud-based technologies to the researchers and scholars, with the special focus on the DARIAH community. However, the complexity of the cloud technologies and the technical knowledge required to access, exploit and maintain these resources could often discourage the potential users. To increase the friendliness and hide the technical obstacles, the DARIAH Science Gateway was developed, a web-based online portal that provides an easy access to services running on EGI FedCloud: Parallel Semantic Search Engine, Virtual dialect repository, Simple Cloud access and Distributed Real-Time Search and Information Retrieval. Via CC two clouds are provided to DARIAH community. Parallel to service provisioning, DARIAH CC aims at raising the awareness of the benefits of cloud technologies by organizing training events and demonstrating services on DH-related events.

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This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. 39 pages, 15 figures.Version accepted in Journal of Grid Computing

The poster presents the EGI Engage DARIAH Competence Centre mini-project and its objectives. The objective of EGI DARIAH CC is to widen the usage of the e-Infrastructures for Arts and Humanities research by developing and providing a workflow-based science gateway based on the generic-purpose WS-PGRADE and gLibrary technologies, adapted and tailored to the needs of users coming from the field of Arts and Humanities. The gateway will provide access and compute services for data residing in distributed grid and cloud storage.

This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549. Peer reviewed

With the increasingly rapid growth of data in life sciences we are witnessing a major transition in the way research is conducted, from hypothesis-driven studies to data-driven simulations of whole systems. Such approaches necessitate the use of large-scale computational resources and e-infrastructures, such as the European Grid Infrastructure (EGI). EGI, one of key the enablers of the digital European Research Area, is a federation of resource providers set up to deliver sustainable, integrated and secure computing services to European researchers and their international partners. Here we aim to provide the state of the art of Grid/Cloud computing in EU research as viewed from within the field of life sciences, focusing on key infrastructures and projects within the life sciences community. Rather than focusing purely on the technical aspects underlying the currently provided solutions, we outline the design aspects and key characteristics that can be identified across major research approaches. Overall, we aim to provide significant insights into the road ahead by establishing ever-strengthening connections between EGI as a whole and the life sciences community. AD was supported by Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/78075/2011 and EXPL/BBBBEP/1356/2013). FP has been supported by the National Grid Infrastructure NGI_GRNET, HellasGRID, as part of the EGI. IFB acknowledges funding from the “National Infrastructures in Biology and Health” call of the French “Investments for the Future” initiative. The WeNMR project has been funded by a European FP7 e-Infrastructure grant, contract no. 261572. AF was supported by a grant from Labex CEBA (Centre d’études de la Biodiversité Amazonienne) from ANR. MC is supported by UK’s BBSRC core funding. CSC was supported by Academy of Finland grant No. 273655 for ELIXIR Finland. The EGI-InSPIRE project (Integrated Sustainable Pan-European Infrastructure for Researchers in Europe) is co-funded by the European Commission (contract number: RI-261323). The BioMedBridges project is funded by the European Commission within Research Infrastructures of the FP7 Capacities Specific Programme, grant agreement number 284209. This is an open-access article.-- et al. Peer Reviewed

The European Markets Infrastructure Regulation (EMIR) allows burdening a clearing obligation on non-financial corporations, which formerly did not necessarily clear their business. We give 10 recommendations on how to cope with this obligation. These are motivated by a case study for which we consider a stylized German power producer. For this entity, we derive optimal levels of planned production and forward sales of power using microeconomic theory. Since this results in a significant short position in the German power forward market, we investigate the resulting variation margin call dynamics with a special interest in the ability to forecast worst-case price up moves. We compare different models for the forward log-returns and their performance in 99% quantile forecasting. A GARCH model with Student-t distribution emerges as the most suitable model. This is used in the case study, which is inspired by data published by the power producer E.ON. Using recent material from the Basel Committee on Banking Supervision we distill the reliable liquidity buffer from an allegedly rich liquidity position and show how suddenly it can be eroded. We point to feedback loops, which make the challenges—posed by the clearing obligation—even more severe. We also spend some thoughts on how to cope with the crisis caused by Corona.