Bridging from Concepts to Data and Computation for eScience (BC2DC'19)
A workshop co-located with the eScience 2019 International Conference
At a glance
|When:||September 24, 2019|
|Where:||San Diego, California, USA|
How can we enable e-Science developers to conceptualize research and translate it to system requirements?
How should we make such processes understandable, reliable, stable and sustainable?
How should advances in engineering deliver the expanding power of distributed computation, heterogeneous (cloud and data) platforms and the massive – still rapidly growing – wealth of data? How can we make it easier for organizations and researchers to engage in multiple research collaborations and to adapt rapidly to changing requirements and new opportunities?
Research addressing global challenges federates a growing diversity of disciplines, requires sustained contributions from many autonomous organizations and builds on heterogeneous evolving computational platforms. Scientific knowledge is scattered across cloud-based services, local storage, and in source code targeting specific architectures and computational contexts. Concepts reflected in disparate sources are hardly computer-communicable and computer-actionable across or even within disciplines. This makes traceability, communication of methods, provenance gathering and reusing data and methods harder and more time-consuming. Agile response to new needs and opportunities may be accelerated when the available methods and required components have mutually comprehensible descriptions. Commercial clouds play an increasingly important role in large-scale scientific experimentation. Examples of diversity in technology and jurisdiction, as well as in the large-scale exploitation of clouds can be found on both sides of the Atlantic: in the European Open Science Cloud (EOSC) as well as in the ongoing massive migration of data and other resources onto Amazon’s AWS by NASA.
It follows that while potential for large-scale data-driven experimentation increases, so does complexity as well as the risk of getting locked into vendor-specific solutions. To deal with these challenges and to help researchers make better and transparent use of diverse infrastructures many systems propose higher-level abstraction to hide and orchestrate infrastructural and implementation details. Domain experts need to directly control sophisticated and dynamic concepts pertaining to data, execution contexts and diverse e-infrastructures. Furthermore, they need mechanisms that allow them to take responsibility for the quality of results, without distracting technological artefacts.
These often take the form of service-based platforms, containerised solutions, APIs, ontological descriptions of underlying resources, provenance repositories, etc. This workshop focuses on platform-driven and domain-specific developments that contribute towards unifying underlying platforms, clouds, data, computational resources and concepts in order to empower research developers to deliver, maintain and communicate larger, increasingly complex eScience systems.
In particular we welcome contributions in the following areas, not excluding other topics of interest:
- Semantic concept description and implementation
- Specification and execution of conceptually formulated methods
- Component descriptions facilitating reliable composition
- Architectures, frameworks and design patterns delivering flexible use and incremental composition
- Cloud, fog, edge and specialized platforms
- Pervasive and persistent provenance
- Platforms of platforms, containers, orchestration and microservices
- HPC computing over Cloud
|Iraklis A. Klampanos, National Centre for Scientific Research "Demokritos", Greece
|Rosa Filgueira, The University of Edinburgh, UK|
|Malcolm Atkinson, The University of Edinburgh, UK|
|Rafael Ferreira da Silva, University of Southern California, CA, USA|
|July 10 2019:||BC2DC'19 Submissions due|
|July 24 2019:||BC2DC'19 Notification of acceptance|
|July 24 2019:||Preliminary BC2DC'19 Programme w/ keynote speakers|
|July 29 2019:||Camera-ready papers due for accepted papers|
- full lengths articles (8 to 10 pages),
- short articles (4-8 pages), and
- extended abstracts (1-2 pages)
The proceedings of the workshop will be included in the eScience 2019 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library.
All contributions are required to use the IEEE 8.5 × 11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5 × 11 inch pages. Templates are available from IEEE.
Depending on the number and quality of contributions, we may pursue the publication of a special issue of an international journal. More information will be provided here nearer the submission deadline.
Program CommitteeDavid Abramson, The University of Queensland, Australia
Leonardo Candela, ISTI - CNR, Italy
Emanuele Casarotti, INGV, Italy
Oscar Corcho, Universidad Politécnica de Madrid, Spain
Cees de Laat, University of Amsterdam, The Netherlands
Shaun de Witt, Culham Centre for Fusion Energy, UK
Katerina Doka, National Technical University of Athens, Greece
Daniel Garijo, University of Southern California, USA
Andre Gemuend, Fraunhofer, Germany
Sandra Gesing, University of Notre Dame, USA
Alex Hardisty, University of Cardiff, UK
James Hetherington, The Alan Turing Institute, UK
Andreas Ikonomopoulos, NCSR "Demokritos", Greece
Keith Jeffery, Keith G Jeffery Consultants, UK
Shantenu Jha, Rutgers University, USA
Peter Kacsuk, MTA-SZTAKI, Hungary
Tamas Kiss, University of Westminster, UK
Antonis Koukourikos, NCSR "Demokritos", Greece
Chee Sun Liew, University of Malaya, Malaysia
Paolo Missier, Newcastle University, UK
Christian Page, CERFACS, France
Loic Pottier, University of Southern California, USA
Richard Sinnott, The University of Melbourne, Australia
Alessandro Spinuso, KNMI, The Netherlands
Vlado Stankovski, University of Ljubljana, Slovenia
Ian Taylor, Cardiff University, UK and The Center of Computation and Technology, LSU, USA
Luca Trani, KNMI, The Netherlands
Rongbing Wang, Liaoning University, China
Paul Watson, Newcastle University, UK