Resource Allocation in Fog Computing: A Systematic Mapping Study

Abstract

The Cloud computing has already proven its worth to manage the computational-intensive tasks of IoT applications. Despite its popularity, Cloud is not recommended for latency-critical applications due to the high latency added by network connections to datacenters and excessive dataflow that may congest the network. Towards this challenge, Fog computing was introduced to extend the computational capabilities of the Cloud computing and to improve the quality of service (QoS) of such latency-critical applications. Compared to Cloud datacenters, the Fog devices are highly dynamic and heterogeneous. One of the key challenging in running IoT application in Fog environment, is the resource allocation issue. This paper aims to review recent work related to resource allocation in Fog environment by applying a systematic mapping study methodology for a comprehensive overview on what has been investigated on resource allocation and what are the open issues to be addressed in the future.