Big Data Analysis
Aim: an easy-to-use, scalable environment for analysing complex data. Standard tools such as Hadoop and Apache Spark are integrated, so researchers do not need to spend time installing and configuring them. In addition, students can learn how to deal with big data analysis tools in this environment.
Work Package Lead: Piyush Harsh, ZHAW ICClab (former WP lead until end of 2016: Markus Handke, University St. Gallen, Institute for Information Management).
Scientific Data Pools
Aim: a service for storing large quantities of data. This goes together with Big Data Analysis and provides a place for researchers to store their data sets and make them available to others.
Work Package Lead: Sofiane Sarni, École polytechnique fédérale de Lausanne (EPFL)
Aim: a self-service environment that provides a digital home for researchers’, professors’ and students’ projects, e.g. a a simple website, an archive for project documents or a shared means of working on program code. Popular programming languages such as Python and R are supported.
Work Package Lead: Prof. Dr. Tara Andrews, University of Vienna, Digital Humanities
Virtual Private Cloud (VPC)
Aim: to complement the existing infrastructure, SWITCHengines resources are used to increase redundancy. Virtual machines can be integrated into the campus network, and internal services can be accessed easily behind the firewall.
Work Package Lead: Tom Schönenberger, FHS St. Gallen
Aim: feasibility study and documentation of best practices for this next-generation technology following widespread virtualisation in the cloud. This makes it possible to use infrastructures more efficiently and to provide and operate services in an agile manner.
Work Package Lead: Christian Schnidrig, SWITCH
Aim: feasibility study for a marketplace for academic cloud services from the academic community. This will help researchers and teaching staff to find or post offers easily.
Work Package Lead: Sebastian Sigloch, SWITCH
Rating Charging Billing / VM Migration Strategy
Aim: a generic framework for reporting access and billing services offered via the marketplace. In a next step, tools that make it easy to move and back up virtual machines (VMs) will be produced. Moving locally produced VMs to the cloud will thus be a simple task.
Work Package Lead: Piyush Harsh, ZHAW Zürich University of Applied Sciences, ICClab
Research in the Cloud / Classroom in the Cloud
Aim: best practice documentations for the practical use of cloud infrastructure for research and teaching. The findings will flow into existing and future services across the whole SCALE-UP project.
Work Package Lead:
"Research in the Cloud": Niklaus Lang, University of Applied Sciences and Arts Northwestern Switzerland (FHNW)
"Classroom in the Cloud": Jens-Christian Fischer, SWITCH
Aim: To make the statistical analysis software that is popular among academics available on SWITCHengines. Procuring commercial software for cloud services is a challenge, which is why this work package has also produced its own process and operating model.
Work Package Lead: Dr. Michael Brüwer, University of Basel