On Execution Platforms for Large-scale Aggregate Computing


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Mirko Viroli, Roberto Casadei, Danilo Pianini

“Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct”, pages 13211326
UbiComp '16
ACM, New York, NY, USA
2016

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

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Publication

— authors

— status

published

— sort

paper in proceedings

— publication date

2016

— volume

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

— series

UbiComp '16

— pages

13211326

— number of pages

6

— address

New York, NY, USA

— location

Heidelberg, Germany

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original page

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— DOI

10.1145/2968219.2979129

— print ISBN

978-1-4503-4462-3

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