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On Execution Platforms for Large-scale Aggregate Computing

Mirko Viroli, Roberto Casadei, Danilo Pianini
Aggregate computing is proposed as a computational model and associated toolchain to engineer adaptive large-scale situated systems, including IoT and wearable computing systems. Though originated in the context of WSN-like (peer-to-peer and fully distributed) systems, we argue it is a model that can transparently fit a variety of execution platforms (decentralised, server-mediated, cloud/fog-oriented), due to its ability of declaratively designing systems by global-level abstractions: it opens the possibility of intrinsically supporting forms of load balancing, elasticity and toleration of medium- and long-term changes of computational infrastructures. To ground the discussion, we present ongoing work in the context of scafi, a language and platform support for computational fields based on the Scala programming language and Akka actor framework.
Keywords: aggregate computing, cloud computing, execution platforms, internet of things, large-scale systems
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, UbiComp '16, pages 1321--1326, 2016, ACM, New York, NY, USA
@inproceedings{AggregatecomputingVlsubicomp16,
 author = {Viroli, Mirko and Casadei, Roberto and Pianini, Danilo},
 title = {On Execution Platforms for Large-scale Aggregate Computing},
 booktitle = {Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct},
 series = {UbiComp '16},
 year = {2016},
 isbn = {978-1-4503-4462-3},
 location = {Heidelberg, Germany},
 pages = {1321--1326},
 numpages = {6},
 url = {http://doi.acm.org/10.1145/2968219.2979129},
 doi = {10.1145/2968219.2979129},
 acmid = {2979129},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {aggregate computing, cloud computing, execution platforms, internet of things, large-scale systems},
}