An algorithm to optimise the load distribution of fog environments

Abstract

Internet of things, a trend of the following years, makes it possible to develop new applications and services as well as creates a huge amount of data to be processed. In order to support this new paradigm, an extension of cloud computing, named Fog Computing, has been developed. Fog computing improves the cloud security, availability and performance by providing a distributed and powerful communication environment with short delay. Therefore, this new paradigm complements the cloud computing. However, the fog faces several issues such as quality of service (QoS) and multi-tenancy optimisation and load balancing. This paper proposes the algorithm called Multi-tenant Load Distribution Algorithm for Fog Environments (MtLDF) to optimise the load balancing in Fogs environments considering specific multi-tenancy requirements (delay and priority). Finally, we present case studies to show the applicability of the proposed algorithm in comparison to a Delay-Driven Load Distribution (DDLD) strategy.