An Adaptive Fault Tolerant Framework and Latency Aware Service Placement Scheme for Fog Computing Environment

Abstract

The Internet of Things (IoT)has been envisioned as a way to cut down on the amount of time humans spend manually entering data, as well as to usean assortment of sensing devices to assemble data from their surroundings and to enable the automated storing and processing of all of these data. A new paradigm of computation that is spread in this era is known as fog computing. Cisco created it in 2012 to help with cloud computing and boost QoS (quality of service) to generate varioussupported IoT applications. QoS is a significant concern in the fog computing environment that includes multiple parameters like execution time, response time,network usage, throughput, energy usage, availability, overall execution cost, and scalability, which must be considered. In this work, I have proposed a QoS-aware technique, in which a fog service monitor has been set up to monitor the performance of the fog nodes. In this projected method, Checkpoints coalesce with Replication (CR) for fault analysis and the efficient allocationof services using the Bee-Mutation (BM) algorithm. For the proposed hybrid architecture to be fault-tolerant, the service monitor is accessed by both the CR module and the BM module.Furthermore,the projectedCR-BM pedestal hybrid framework performance has been evaluated using some recital measures.