Optimized IoT service placement in the fog

By O. Skarlat, Matteo Nardelli, Stefan Schulte, M. Borkowski, Philipp Leitner. Service Oriented Computing and Applications, 2017

331 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/135c6098f2ed4f11c78bd2e4d65721cc4fce639a

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Edmundo Roberto Mauro Madeira
  2. Luiz Fernando Bittencourt
  3. Frederic Desprez
  4. Rizos Sakellariou
  5. Farah Ait Salaht
  6. Adrien Lebre

In Information Systems

  1. Edmundo Roberto Mauro Madeira
  2. Luiz Fernando Bittencourt
  3. Frederic Desprez
  4. Rizos Sakellariou
  5. Omer Farooq Rana
  6. Farah Ait Salaht
  7. Adrien Lebre

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