Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things

The Internet of Things (IoT) aims to connect everyday physical objects the internet. These will produce a significant amount data. traditional cloud computing architecture process data in cloud. As result, needs be communicated This creates number challenges, such as high communication latency between devices and cloud, increased energy consumption during frequent upload bandwidth consumption, while making network busy by sending continuously, less privacy because control on transmitted server. Fog has been proposed counter these weaknesses. at edge substantially eliminate necessity However, combining Service Oriented Architecture (SOA) with fog is still an open challenge. In this paper, we propose decompose services create linked-microservices (LMS). xmlns:xlink="http://www.w3.org/1999/xlink">Linked-microservices are that run multiple nodes but closely linked their linked-partners. allow distributing computation across different IoT architecture. Using four types architectures namely fog, hybrid, fog+cloud, explore demonstrate effectiveness service decomposition applying experiments three type datasets. Evaluation shows decomposing into reduce over 10 - 70 percent. Overall, results indicate importance context for enhancing quality service.