Research Area: Fog Computing
A steady increase in Internet-of-Things (IoT) applications needing large-scale computation and long-term storage has lead to an overreliance on cloud computing. The resulting network congestion in the cloud, coupled with the distance of cloud data centers from IoT, contributes to unreliable end-to-end response delay. Fog computing has been introduced as an alternative to cloud, providing low-latency service by bringing processing and storage resources to the network edge. In this survey, we sequentially present the phases required in the implementation and realization of practical fog computing systems: 1) design and dimensioning of a fog infrastructure; 2) fog resource provisioning for IoT application use and IoT resource allocation to fog; 3) installation of fog frameworks for fog resource management; and 4) evaluation of fog infrastructure through simulation and emulation. Our focus is on determining the implementation aspects required to build a practical large-scale fog computing infrastructure to support the general IoT landscape.
Keywords:
Fog computing
fog design and dimensioning
fog infrastructure evaluation
fog resource management
Internet of Things (IoT)
simulation
survey
Author(s) Name: Ismael Martinez; Abdelhakim Senhaji Hafid; Abdallah Jarray
Journal name: IEEE Internet of Things Journal
Conferrence name:
Publisher name: IEEE
DOI: 10.1109/JIOT.2020.3022699
Volume Information: Volume: 8, Issue: 4, 15 February 2021,Page(s): 2494 - 2516
