CRC 2012 - The 2012 International Workshop on Cloud Computing for Research Collaborations

Data-handling problems, complexity, and expensive or unavailable computational
solutions to research problems are major issues in research data management and
analysis. Traditional laboratory-hosted servers in a distributed architecture for research
information sharing and analysis is expensive (e.g. a great deal of IT maintenance cost)
and lower efficiency (e.g. difficulty in integration of diverse software and hardware).
Cloud computing refers to an on-demand self-service Internet infrastructure that enables
the user to access computing resources anytime from anywhere. Many previous studies
showed that the research community, especially consortiums that share data and
applications, can take advantage of the new computing paradigm. Several informatics
innovations also have demonstrated that cloud computing has the potential to overcome
research data management and analysis issues.
The objective of this multidisciplinary workshop is to gather both researchers and
practitioners to discuss methodological, technical and organizational aspects of cloud
computing based technologies used for research collaboration.
Papers describing original research on both theoretical and practical aspects of Cloud
Computing for research collaborations are solicited
Topics include, but are not limited to:
? Methodologies, Architecture and Tools for cloud-based research collaborations
? Case study on cloud-based research collaborations
? e-Science
? Big Data Analytics
? Revenue analysis on cloud-based research collaborations
? International differences in relevant regulations including data security and privacy
(e.g. jurisdiction issues for data sharing)
? Handling cultural resistance (i.e. organizational inertia) for cloud-based research
collaborations
? Data interoperability among research parties and cloud providers
? Higher assurance clouds for research collaborations (e.g. virtual private clouds etc) ? Multi-provider cloud resources federation (e.g. data, applications, processing,
memory, logs etc)
? Methods for psudo-anonymising and data integration in cloud-based data warehouses
? Effects of different forms of breach reporting on security
? End-to-end data confidentiality in the cloud and beyond
? Forensics and evidence gathering mechanisms.
? Incident handling (e.g. monitoring and traceability)