Next Article in Journal
Development of an Ultrasensitive Impedimetric Immunosensor Platform for Detection of Plasmodium Lactate Dehydrogenase
Next Article in Special Issue
Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking
Previous Article in Journal
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
Previous Article in Special Issue
Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing
Open AccessArticle

On the Location of Fog Nodes in Fog-Cloud Infrastructures

Instituto de Computação (IC), Universidade Estadual de Campinas (UNICAMP), Av. Albert Einstein 1251, 13083-852 Campinas, SP, Brazil
Authors to whom correspondence should be addressed.
Sensors 2019, 19(11), 2445;
Received: 11 April 2019 / Revised: 18 May 2019 / Accepted: 20 May 2019 / Published: 29 May 2019
(This article belongs to the Special Issue Recent Advances in Fog/Edge Computing in Internet of Things)
In the fog computing paradigm, fog nodes are placed on the network edge to meet end-user demands with low latency, providing the possibility of new applications. Although the role of the cloud remains unchanged, a new network infrastructure for fog nodes must be created. The design of such an infrastructure must consider user mobility, which causes variations in workload demand over time in different regions. Properly deciding on the location of fog nodes is important to reduce the costs associated with their deployment and maintenance. To meet these demands, this paper discusses the problem of locating fog nodes and proposes a solution which considers time-varying demands, with two classes of workload in terms of latency. The solution was modeled as a mixed-integer linear programming formulation with multiple criteria. An evaluation with real data showed that an improvement in end-user service can be obtained in conjunction with the minimization of the costs by deploying fewer servers in the infrastructure. Furthermore, results show that costs can be further reduced if a limited blocking of requests is tolerated. View Full-Text
Keywords: fog computing; cloud computing; facility location; mixed-integer linear programming fog computing; cloud computing; facility location; mixed-integer linear programming
Show Figures

Figure 1

MDPI and ACS Style

C. da Silva, R.A.; S. da Fonseca, N.L. On the Location of Fog Nodes in Fog-Cloud Infrastructures. Sensors 2019, 19, 2445.

AMA Style

C. da Silva RA, S. da Fonseca NL. On the Location of Fog Nodes in Fog-Cloud Infrastructures. Sensors. 2019; 19(11):2445.

Chicago/Turabian Style

C. da Silva, Rodrigo A.; S. da Fonseca, Nelson L. 2019. "On the Location of Fog Nodes in Fog-Cloud Infrastructures" Sensors 19, no. 11: 2445.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop