M. Aldinucci, S. Bagnasco, S. Lusso, P. Pasteris, S. Vallero & S. Rabellino (2016):
The Open Computing Cluster for Advanced data Manipulation (OCCAM).
In: The 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP),
San Francisco, USA.
G. Audrito, F. Damiani & M. Viroli (2017):
Optimally-Self-Healing Distributed Gradient Structures Through Bounded Information Speed.
In: Coordination Languages and Models,
LNCS 10319.
Springer-Verlag,
doi:10.1007/978-3-319-59746-1_4.
J. Beal, S. Dulman, K. Usbeck, M. Viroli & N. Correll (2013):
Organizing the Aggregate: Languages for Spatial Computing.
In: Formal and Practical Aspects of Domain-Specific Languages: Recent Developments, chapter 16.
IGI Global,
pp. 436–501,
doi:10.4018/978-1-4666-2092-6.ch016.
J. Beal, D. Pianini & M. Viroli (2015):
Aggregate Programming for the Internet of Things.
IEEE Computer,
doi:10.1109/MC.2015.261.
J. Dean & S. Ghemawat (2008):
MapReduce: simplified data processing on large clusters.
Commun. ACM 51(1),
pp. 107–113,
doi:10.1145/1327452.1327492.
D. Pianini, S. Montagna & M. Viroli (2013):
Chemical-oriented simulation of computational systems with ALCHEMIST.
J. Simulation 7(3),
pp. 202–215,
doi:10.1057/jos.2012.27.
D. Pianini, M. Viroli & J. Beal (2015):
Protelis: Practical Aggregate Programming.
In: ACM SAC 2015,
doi:10.1145/2695664.2695913.
M. Viroli, J. Beal, F. Damiani & D. Pianini (2015):
Efficient Engineering of Complex Self-Organising Systems by Self-Stabilising Fields.
In: IEEE SASO 2015.
IEEE,
pp. 81–90,
doi:10.1109/SASO.2015.16.
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