Optimized IoT service placement in the fog

Optimized IoT service placement in the fog 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Service Oriented Computing and Applications Springer Journals
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Publisher
Springer London
Copyright
Copyright © 2017 by The Author(s)
Subject
Computer Science; Computer Systems Organization and Communication Networks; Software Engineering/Programming and Operating Systems; e-Commerce/e-business; Computer Appl. in Administrative Data Processing; Management of Computing and Information Systems; IT in Business
ISSN
1863-2386
eISSN
1863-2394
D.O.I.
10.1007/s11761-017-0219-8
Publisher site
See Article on Publisher Site

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.

Journal

Service Oriented Computing and ApplicationsSpringer Journals

Published: Oct 4, 2017

References

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