Title: Optimized IoT service placement in the fog
Language: English
Authors: Skarlat, Olena 
Nardelli, Matteo 
Schulte, Stefan  
Borkowski, Michael 
Leitner, Philipp 
Category: Original Research Article
Keywords: Fog computing; Service placement; Resource provisioning; Internet of Things; Quality of service
Issue Date: 2017
Journal: Service Oriented Computing and Applications
Abstract: 
The Internet of Things (IoT) leads to an ever-growing presence of ubiquitous networked computing devices in public, business, and private spaces. These devices do not simply act as sensors, but feature computational, storage, and networking resources. Being located at the edge of the network, these resources can be exploited to execute IoT applications in a distributed manner. This concept is known as fog computing. While the theoretical foundations of fog computing are already established, there is a lack of resource provisioning approaches to enable the exploitation of fog-based computational resources. To resolve this shortcoming, we present a conceptual fog computing framework. Then, we model the service placement problem for IoT applications over fog resources as an optimization problem, which explicitly considers the heterogeneity of applications and resources in terms of Quality of Service attributes. Finally, we propose a genetic algorithm as a problem resolution heuristic and show, through experiments, that the service execution can achieve a reduction of network communication delays when the genetic algorithm is used, and a better utilization of fog resources when the exact optimization method is applied.
DOI: 10.1007/s11761-017-0219-8
Library ID: AC15320993
URN: urn:nbn:at:at-ubtuw:3-4773
ISSN: 1863-2386
Organisation: E194 - Institut für Informationssysteme 
Publication Type: Article
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