Effective Strategy Based on Migration and Replication Techniques for Service Management in Fog Environment

Abstract

Fog computing has been developed to meet the evolving demands of Internet of Things (IoT) applications. However, in the intricate landscape of distributed and geographically diverse IoT environments, the inadequacy of service management presents challenges such as reduced user accessibility and compromised service quality, impacting response times, network congestion, and energy consumption. This paper introduces RM-SAPCC, an innovative service management approach tailored for fog computing. The method addresses the variability of Fog components and the widespread geographical distribution of infrastructures. To achieve this, a migration and replication strategy based on service popularity is proposed. This dynamic approach optimizes query response times and minimizes system energy consumption without overloading the network. Additionally, a process for eliminating redundant replicas is presented, ensuring the proximity of remaining replicas to incoming requests. The effectiveness of the approach is evaluated through simulations using IFOGSIM, with results indicating promise.