Science gateways represent a community-speci c set of tools, applications, and data collections that are integrated via a web portal or a desktop application, providing access to resources and services of distributed computing infrastructures (DCIs). Science gateways o er the potential to open the utilisation of DCIs to wider audiences by providing a customised and easy to use interface to the users enabling access to large computational and data resources, e.g., distributed le systems, sensor data, data from lab instruments. The complexity of the underlying infrastructure can be completely hidden from the end-users by a suitably tailored interface. As interest in science gateways has accelerated in the past few years, an increasing number of new user communities can utilise distributed computing and distributed data resources in a convenient manner.
for information to aid with designing and implementing more exible and userfriendly science gateways and work ow management systems in the future. M. Assante et al. present gCube, a system enabling hybrid data infrastructures, which facilitate the dynamic de nition and operation of virtual research environments. It o ers a comprehensive set of data management capabilities on various types of data and a rich array of mediators to interface well-established infrastructures and information systems from various domains. gCube operates the D4Science.org infrastructure and the paper gives an overview on the gCube system. Rosemary: A Flexible Programming Framework to Build Science Gateways goes into detail for the Rosemary science gateway framework, whose core o ers the three fundamental science gateway functions data, computing and collaboration management. Rosemary is exible to changes in e-Infrastructures and user community requirements and provides a generic data model, RESTful API, and responsive UI that can be customized through programming to build customized science gateways. It is used for three prototypes of science gateways. The paper presents the design considerations and the features applied in the three prototypes.
An Innovative Workspace for The Cherenkov Telescope Array presents a prototype workspace developed at INAF that aims at providing innovative solutions for the Cherenkov Telescope Array (CTA) community. Two di erent user interaction models, connected to an authentication and authorization infrastructure, have been implemented in this workspace. The rst one is a work ow management system accessed via a science gateway and the second one is an interactive virtual desktop environment. A Science Gateway for Biodiversity and Climate Change Research elucidates that there is a strong need for multidisciplinary skills, tools and a large variety of heterogeneous, distributed data sources to better understand the mutual interaction between climate change and biodiversity. The EUBrazilCloudConnect project provides a user-centric research environment built on top of a federated cloud infrastructure across Europe and Brazil to serve scienti c needs. One of the science gateways implemented in this project is BioClimate that focuses on climate change and biodiversity research. It provides end-users with a highly integrated environment, addressing mainly data analytics requirements.
Containerization and service-oriented architectures are the main focus of the following four papers.
Joe Stubbs et al. introduce Endofday, a work ow engine that orchestrates a directed acyclic graph (DAG) of computational science apps where the nodes of the DAG are Docker containers. The endofday engine enables users to execute entire work ows of science applications without actually installing any of the applications themselves. As an example, the authors present the Validate system, a suite of software applications for testing the accuracy and precision of Genome Wide Association methods, and illustrate how it can be run using Endofday without the need for installation. Additionally, they show how Endofday integrates with the Agave platform's application catalog. MiCADO - Towards a Microservice-based Cloud Application-level Dynamic Orchestrator gives an introduction to the concepts of the new framework called MiCADO. It focuses on dynamically adjustable infrastructure resources and their provision through microservices in a cloud environment. MiCADO is intended to serve the variable needs of not only academic communities but also the ones from data intensive commercial applications. Daniele D'Agostino et al. present the EXTraS gateway. It o ers a platform for astrophysicist to extract time dependent information from the data of the European Photon Imaging Camera which was collected in the 16 years of its operation. The gateway concept is based on the use of microservices in order to provide a largely resilient service. Fast Access to Remote Objects 2.0 - A renewed web portal to ENEAGRID distributed computing resources introduces Faro 2.0 a science gateway for the fast access of remote objects. Through the usage of modern technologies such as HTML5, JavaFx, CSS3 and jQuery a collection of centralized services is o ered to the users. The project o ers a work ow-oriented access to ENEAGRID resources.
Advanced work ow capabilities and data management is tackled by the following three papers.
Luis de la Garza et al. give an overview about the recent developments for KNIME2gUSE. The authors highlight the challenges for the conversion of abstract and concrete layers of di erent work ow languages into each other. In particular the usage of common tool descriptors eases the conversion of speci c nodes, facilitating the creation of complex work ows with KNIME and porting them to gUSE/WS-PGRADE. Milky Way Analysis through a Science Gateway: Work ows and Resource Monitoring introduces the most recent developments for the VIALACTEA Science Gateway. The gateway o ers a platform for the integration and analysis of all kind of infrared and radio data about our home galaxy, the milky way. The newly introduced agile software development concept led to a set of highly useful resource monitoring services. Richard Grunzke et al. gives an insightful presentation about the relevance of metadata information with respect to the management of scienti c data involving multiple communities. The relevance in the context of open and reproducible science becomes apparent from this work, which in large parts is based on work accomplished within the MASi project.
Thanks to the support of the University of Notre Dame, its Global Gateway program and its Center for Research Computing, we were able to host the workshop in Notre Dame's Global Gateway just beside the Colosseum. The workshop was supported by the National Science Foundation (Award ID 1632929), EuCheMS (European Chemical Sciences) and the IEEE Technical Area on Science Gateways. We would like to thank the PC members, authors, presenters and participants. Without their work and contributions, IWSG 2016 would not have been such a success.
David Abramson, University of Queensland, Brisbane, Australia Viktor Achter, University of Cologne, Germany Akos Balasko, MTA SZTAKI, Hungary Antun Balaz, Institute of Physics Belgrade, Serbia Roberto Barbera, University of Catania and INFN, Italy Michelle Barker, NeCTAR, Melbourne, Australia Ugo Becciani, INAF Catania, Italy Andre Brinkmann, University of Mainz, Germany Daniele D'Agostino, CNR-IMATI, Italy Silvia D. Olabarriaga, Academic Medical Centre, Amsterdam, The Netherlands Zoltan Farkas, MTA SZTAKI, Hungary Geo rey Fox, Indiana University, US Sandra Gesing, University of Notre Dame, US Helen Glaves, British Geological Survey, UK Aaron Golden, Albert Einstein College of Medicine, US Richard Grunzke, University of Dresden, Germany Keith Je ery, RDA, UK Peter Kacsuk, MTA SZTAKI, Hungary Joohyun Kim, Louisiana State University, Baton Rouge, US Tamas Kiss, University of Westminster, London, UK Dagmar Krefting, University of Applied Sciences, Berlin, Germany Jens Kruger, University of Tubingen, Germany Krzysztof Kurowski, PSNC, Poznan, Poland Miklos Kozlovszky, MTA SZTAKI, Hungary Daniele Lezzi, Barcelona Supercomputing Center, Spain Robert Lovas, MTA SZTAKI, Hungary Suresh Marru, Indiana University, US David Meredith, STFC Daresbury Laboratory, UK Ivan Merelli, CNR-ITB, Italy Jarek Nabrzyski, University of Notre Dame, US Horacio Perez-Sanchez, Universidad Catlica San Antonio de Murcia, Spain Gabriele Pierantoni, TCD, Dublin, Ireland Marlon Pierce, Indiana University, US Mats Rynge, University of Southern California, US Cevat Sener, METU, Turkey Richard Sinnott, University of Melbourne, Australia Gergely Sipos, EGI.eu, Amsterdam, The Netherlands Ian Taylor, University of Cardi , UK and University of Notre Dame, US James Taylor, John Hopkins University, Baltimore, US Gabor Terstyanszky, University of Westminster, UK Chen Wang, CSIRO ICT Centre, Mars eld, Australia Nancy Wilkins-Diehr, San Diego Supercomputing Center, US Eric Yen, Academia Sinica Grid Computing Center, Taipei, Taiwan