Service and Energy Management in Fog Computing: A Taxonomy Approaches and Future Directions

kground and Objectives: Today, the increased number of Internet-connected smart devices require powerful computer processing servers such as cloud and fog and necessitate fulfilling requests and services more than ever before. The geographical distance of IoT devices to fog and cloud servers have turned issues such as delay and energy consumption into major challenges. However, fog computing technology has emerged as a promising technology in this field.Methods: In this paper, service/energy management approaches are generally surveyed. Then, we explain our motivation for the systematic literature review procedure (SLR) and how to select the related works.Results: This paper introduces four domains of service management and energy management, including Architecture, Resource Management, Scheduling management, and Service Management. Scheduling management has been used in ۳۸% of the papers. Therefore, they have the highest service management and energy management. Also, Resource Management is the second domain that has been able to attract about ۲۶% of the papers in service management and energy management.Conclusion: About ۸۱% of the fog computing papers simulated their approaches, and the others implemented their schemes using a testbed in the real environment. Furthermore, ۳۰% of the papers presented an architecture or framework for their research, along with their research. In this systematic literature review, papers have been extracted from five valid databases, including IEEE Xplore, Wiley, Science Direct (Elsevier), Springer Link, and Taylor & Francis, from ۲۰۱۳ to ۲۰۲۲. We obtained ۱۵۹۶ papers related to the discussed subject. We filtered them and achieved ۴۷ distinct studies. In the following, we analyze and discuss these studies; then we review the parameters of service quality in the papers, and ultimately, we present the benefits, drawbacks, and innovations of each study.

Keywords:

Fog Computing , Internet of Things (IOT) , Systematic literature review (SLR) , Service management , Energy management