Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey

A steady increase in Internet of Things (IoT) applications needing large-scale computation and long-term storage has lead to an over-reliance on Cloud computing. The resulting network congestion in Cloud, coupled with the distance of Cloud data centres from IoT, contribute to unreliable endto-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 & 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 & emulation. Our focus is determining the implementation aspects required to build a practical large scale fog computing infrastructure to support the general IoT landscape.