Web Service Selection Mechanism in Service-Oriented Architecture Based on Publish–Subscribe Pattern in Fog Environment

Abstract

Fog computing reduces latency and increases the throughput by processing data near the body sensor network. This paper considers a service-oriented architecture based on publish–subscribe pattern for web service selection in fog environment. With the advancement in fog environment, a large number of web services in fog environment provide same functionality but differ in their quality of service (QoS) parameter. This paper focuses on an approach based on genetic algorithm for the selection of a workflow which comprises different fine-grained web services. This paper only considers the non-functional aspects of web services mentioned in service-level agreement (SLA). In this paper, we propose a fitness function which uses quality of services and user preference in consideration while computing the fitness value. Moreover, genetic algorithm is used as an optimization algorithm to get an optimum workflow considering service-level agreement and user preference assigned to each QoS parameters. The conducted experiment shows that better result is obtained from the new fitness function.