DewMetrics: Demystification of the Dew Computing in Sustainable Internet of Things

Abstract

Dew computing, a new version of the computing paradigm appeared along with cloud, edge, and fog computing. Dew computing is a distributed computing framework that is deliberated as an augmentation in the cloud computing schema. Researchers and academic practitioners have explored the concept of dew computing since its germination. In dew computing, users can perform full system functionality without depending on Internet availability. Information will be warehoused on the local storage of the user’s device, and when the Internet connection is present, harmonization will be accomplished to synchronize the transmitted information on cloud-dependent applications. There have been voluminous implementations of dew computing in prevailing usages, although research achieved concerning dew computing is not as much as in erstwhile distributed computing spheres. They have even tried to integrate computing into several existing and sustainable applications, such as the Internet of Things, smart Healthcare, Indoor navigation, agriculture, and numerous human-centric paradigms. The key objective of dew computing is to enhance the efficiency and reduce the cost of personal IoT devices which further augment the productivity and scalability of any distributed computing network. In this chapter, we first briefly focus on unfolding the concept of dew computing. We illustrate a set of real-time case studies, such as the cache computing framework for dew devices, the reduced Internet dependency-induced decision-making processes, the crises, the humanitarian Internet of Music Things, and so on, where the flow of information should be abundant despite having issues with constant digital network connectivity. We would focus on providing a detailed literature survey of dew computing architecture, applications, tools, and technologies that might assist in delivering ICT-based sustainable Internet of Things applications. This chapter additionally provides a deep insight into upcoming tools and technologies that can be integrated with the conventional dew computing architecture for obtaining more efficiency in Internet-dependent distributed networks.