-------- Original-Nachricht -------- Betreff: [Tccc] ACM HotPlanet 2010 workshop (co-located with ACM MobiSys) - Call For Papers Datum: Mon, 18 Jan 2010 10:48:08 +0000 Von: Fehmi Ben Abdesslem fehmi@cs.st-andrews.ac.uk An: tccc@lists.cs.columbia.edu

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The 2nd ACM Workshop on Hot Topics in Planet-scale Measurements (HotPlanet) co-located with ACM MobiSys '10, San Francisco, CA, USA June 15, 2010 http://www.hotplanetconf.net/10/

Important dates: Submission deadline: March 7, 2010 Authors notification: April 18, 2010 Camera ready: May 7, 2010 Workshop date: June 15, 2010

It is well-known that successfully researching, designing and building new mobile, ad hoc, mesh and opportunistic networking systems and algorithms requires access to large-scale data on human mobility, encounter, and social network patterns. Unfortunately, the wireless and mobile research communities lack such data, with typical human contact traces consisting of less than 100 nodes. We believe that large-scale datasets are important, not only in communication network design, but also for fundamental study in other academic disciplines, e.g., epidemiology, urban planning, and social science. Complex networks research has flourished since 1989 when the first large Internet (and later WWW) datasets became available. To achieve similar improvements in mobile networking and related fields, large-scale, and ideally planet-scale, datasets must be collected and made available.

Following a successful introductory event at ACM MobiSys 2009, this year's workshop will challenge the community to collect large-scale human mobility traces. Our aim is to highlight the issues in collecting data on a planet-wide scale, so that the community can help develop mechanisms to collect, share and analyse such data.

Topics for the workshop include, but are not limited to: - Motivating applications for large-scale human mobility data collection, especially from other disciplines, e.g., epidemiology, sociology - Methods for collecting large-scale human mobility datasets - New analyses and applications of large-scale human mobility datasets, e.g., human dynamics characterisation and modelling - Planet-scale data collection infrastructures - Testbed federation for planet-scale data collection - Incentive models for encouraging users and businesses to collect and contribute data on a planet-wide scale - Enabling security, privacy and anonymity for large-scale data collection - Regulatory, legal and ethical issues in planet-wide data collection

SUBMISSION GUIDELINES

All submitted papers will be carefully evaluated based on their originality, significance, technical soundness, and clarity of expression. Accepted papers will be published by ACM and placed in the ACM Digital Library. Submissions must be in English, no longer than 6 pages and in PDF format, and use the ACM templates http://www.acm.org/sigs/publications/proceedings-templates. All fonts must be embedded within the PDF and be Type 1 (scalable).

In order to allow papers to appear in the ACM Digital Library, authors of accepted papers will be asked to submit, together with their camera-ready, an ACM proceedings copyright transfer form http://www.acm.org/publications/copyright_form. Failure to send the camera-ready and copyright transfer on time will prevent the publication of the paper and its inclusion in the ACM Digital Library.

Papers should be submitted through EDAS at http://edas.info/N8637. Further details are on the workshop website at http://www.hotplanetconf.net/

PROGRAMME CHAIRS - Tristan Henderson, University of St Andrews, UK - Pablo Vidales, Deutsche Telekom Laboratories, DE

PROGRAMME COMMITTEE - Andrew Campbell, Dartmouth College, US - Guanling Chen, University of Massachusetts Lowell, US - Jon Crowcroft, University of Cambridge, UK - Fernando Esponda, Instituto Tecnologico Autonomo de Mexico, MX - Xiaoming Fu, University of Goettingen, DE - Pan Hui, Deutsche Telekom Laboratories, DE - Vassilis Kostakos, University of Madeira, PT - David Kotz, Dartmouth College, US - Anders Lindgren, Swedish Institute of Computer Science, SE - Iqbal Mohomed, Microsoft Research, US - Richard Mortier, University of Nottingham, UK - Mirco Musolesi, University of St Andrews, UK - Andrea Passarella, CNR-IIT, IT - Michal Piorkowski, Bmob, CH - Cigdem Sengul, TU Berlin, DE - Chuan Wu, University of Hong Kong, CN