Social Networking has profoundly affected the way that people communicate and interact. Websites such as Facebook, Xing and LinkedIn enable us to interact digitally, and as such electronic relationships are quickly beginning to become as important as their real world counterparts. The app and as-a-service phenomena are only just beginning to embrace and exploit the fabrics of digital relationships, a means that has been used in advertising now for some time. The social science and information science domains also have a keen interest in social networking and in ad hoc sharing, and it is useful to extend this multidisciplinary intersection to consider the networks of people, shared artefacts and services that are seen in e-Science applications. The social science studies of these applications, as well as the use of a cloud and services approach to conduct social science studies, are important examples of "e-Social Science".

The adoption of Social Networking constructs for new forms of digital collaboration is a new and exciting domain, which as yet has no single stream-lined community. Typically, workshops with the theme of social networks are orientated towards the theoretical aspects of social networks, for example how they are built, mined, modelled, visualised, how social graphs are traversed, privacy issues, supporting infrastructure etc. Instead, this workshop is aimed at bringing together novel research that is focused on the emerging area of how social networks can be used and harnessed in and with the domains of cluster, grid and cloud computing as well as for services computing. This workshop is focused on, but not limited to, the application of social networking models in distributed services and content, the use of cluster, cloud, grid or services computing in the creation of social networks and their applications, and the development and use of distributed computing models within social networks.

Scope of Workshop:

The topics of interest are, but not limited to, the adoption of social networks to cluster, grid, cloud and services computing for:

novel applications of digital relationships
discover providers and/or consumers of services
enhance trustworthiness
discover and/or compose new services
perform scientific computing and applications
aid the negotiation of SLAs and their lifecycle
novel forms of collaborative computing and resource sharing
define novel principals, models and methodologies for the harnessing of digital relationships
Submission Process

Workshop papers should be a maximum of 6 pages in length (in IEEE format). Additional pages may be purchased (in some circumstances) subject to approval of the proceedings chair. At least one author of each accepted submission must attend the workshop and all workshop participants must pay the CCGrid 2011 workshop registration fee, as well as the conference fee. All accepted papers will be published by the IEEE in the same volume as the main conference. All papers will be reviewed by an International Programme Committee (with a minimum of 3 reviews per paper). Papers submissions should be performed using the easychair system (http://www.easychair.org/conferences/?conf=sn4ccgrids11), by the date mentioned below.

Important Dates:

Paper Submissions Due:16.1.2011
Notification of Acceptance:8.2.2011
Camera Ready Versions Due:15.2.2011
Workshop: 23rd - 26th May 2011
SI in Journal of Web Services Research

Selected papers from the workshop will be invited for a special issue of the Journal of Web Services Research (JWSR).

Workshop Chairs:

Simon Caton, Karlsruhe Institute of Technology, Germany
Kyle Chard, University of Chicago and Argonne National Lab, USA
David De Roure, University of Oxford, UK
Wei Tan, University of Chicago and Argonne National Lab, USA

Programme Committee:

Kris Bubendorfer, Victoria University of Wellington, New Zealand
M. Brian Blake, University of Notre Dame, USA
Junwei Cao, Tsinghua University, China
Noshir Contractor, Northwestern University, USA
Weiping Li, Peking University, China
Ian Foster, University of Chicago and Argonne National Lab, USA
Rania Khalaf, IBM T. J. Watson Research Center, USA
Peter Komisarczuk, Thames Valley University, UK
Paolo Missier, Newcastle University, UK
Barry Norton, Karlsruhe Institute of Technology
Omer Rana, Cardiff University, UK
Isabelle Rouvellou, IBM T. J. Watson Research Center, USA
Rizos Sakellariou, University of Manchester, UK
Christof Weinhardt, Karlsruhe Institute of Technology, Germany
Jia Zhang, Northern Illinois University, USA