Synergy of volunteer measurements and volunteer computing for effective data collecting, processing, simulating and analyzing on a worldwide scale

The paper concerns the hype idea of “Citizen Science” and the related paradigm shift: to go from the passive “volunteer computing” to other volunteer actions like “volunteer measurements” under guidance of scientists. They can be carried out by ordinary people with standard computing gadgets (smartphone, tablet, etc.) and the various standard sensors in them. Here the special attention is paid to the system of volunteer scientific measurements to study air showers caused by cosmic rays. The technical implementation is based on integration of data about registered night flashes (by radiometric software) in shielded camera chip, synchronized time and GPS-data in ordinary gadgets: to identify night “air showers” of elementary particles; to analyze the frequency and to map the distribution of “air showers” in the densely populated cities. The project currently includes the students of the National Technical University of Ukraine “KPI”, which are compactly located in Kyiv city and contribute their volunteer measurements. The technology would be very effective for other applications also, especially if it will be automated (e.g., on the basis of XtremWeb or/and BOINC technologies for distributed computing) and used in some small area with many volunteers, e.g. in local communities (Corporative/Community Crowd Computing).

[1]  Thomas Hérault,et al.  Computing on large-scale distributed systems: XtremWeb architecture, programming models, security, tests and convergence with grid , 2005, Future Gener. Comput. Syst..

[2]  Gilles Fedak,et al.  Statistical Properties of Deformed Single-Crystal Surface under Real-Time Video Monitoring and Processing in the Desktop Grid Distributed Computing Environment , 2010 .

[3]  Gilles Fedak,et al.  The Computational and Storage Potential of Volunteer Computing , 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

[4]  Miklós Kozlovszky,et al.  WS-PGRADE/gUSE Generic DCI Gateway Framework for a Large Variety of User Communities , 2012, Journal of Grid Computing.

[5]  Simon P. Swordy,et al.  Cosmic Rays at the Energy Frontier , 1997 .

[6]  Sergii Stirenko,et al.  IMP Science Gateway: From the Portal to the Hub of Virtual Experimental Labs in Materials Science , 2014, 2014 6th International Workshop on Science Gateways.

[7]  R. Maze,et al.  Extensive Cosmic-Ray Showers , 1939 .

[8]  M. Edelstein Citizen Science: A Study of People, Expertise and Sustainable Development , 1998 .

[9]  Yuri G. Gordienko,et al.  Complex Workflow Management and Integration of Distributed Computing Resources by Science Gateway Portal for Molecular Dynamics Simulations in Materials Science , 2014, ArXiv.

[10]  Yuri G. Gordienko,et al.  From Quantity To Quality: Massive Molecular Dynamics Simulation of Nanostructures under Plastic Deformation in Desktop and Service Grid Distributed Computing Infrastructure , 2013, Comput. Sci..

[11]  Eduard V. Vashenyuk,et al.  Variations of gamma radiation spectra during precipitations , 2013 .

[12]  David P. Anderson,et al.  BOINC: a system for public-resource computing and storage , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.

[13]  Gilles Fedak,et al.  Augernome & XtremWeb: Monte Carlos computation on a global computing platform , 2003, ArXiv.