The amount of data produced at the edge of the network led to the introduction of the Fog Computing paradigm, as a way to assist resource constrained devices in processing and delivering data on behalf of the Cloud. This intermediate layer of computing infrastructure and services, closer to the edge, provides better response times thanks to the physical proximity between devices and computing nodes, while introducing new challenges regarding privacy, fault tolerance and task allocation strategies. In this work we introduce a framework for distributed computation of tasks, which extends a resource-aware programming model to abstract the underlying complexity of task and data allocations.

Enabling Run-time Resource-aware Task Placement in Fog Scenario

IEZZI, DOMENICO;Michele Zanella;Giuseppe Massari;William Fornaciari
2019

Abstract

The amount of data produced at the edge of the network led to the introduction of the Fog Computing paradigm, as a way to assist resource constrained devices in processing and delivering data on behalf of the Cloud. This intermediate layer of computing infrastructure and services, closer to the edge, provides better response times thanks to the physical proximity between devices and computing nodes, while introducing new challenges regarding privacy, fault tolerance and task allocation strategies. In this work we introduce a framework for distributed computation of tasks, which extends a resource-aware programming model to abstract the underlying complexity of task and data allocations.
978-88-905806-7-3
Resource Management,Programming Model,Task Offloading,Fog Computing
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1096387
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