| Abstract |
Various paradigms, including Dew Computing (Dew-C) and Cloud Computing (Cloud-C), have arisen within the domain of computing. Dew-C adeptly addresses the constraints of Cloud-C, such as bandwidth reliance and elevated latency, by employing a distributed, lightweight architecture tailored for peripheral computing environments. This study examines the essential concepts, many applications, and prospective future uses of Dew-C through Latent Semantic Analysis (LSA) to discern key research themes and problems. The data for this study were sourced from the Scopus database utilizing the query string TITLE-ABS-KEY (“dew computing”) in compliance with PRISMA requirements. Latent Semantic Analysis (LSA), a prominent natural language processing technique, was utilized to perform term frequency-inverse document frequency (TF-IDF) analysis, in conjunction with bibliometric analysis, to derive quantitative and statistical insights. The tests utilized an augmented dataset of 191 published articles between 2016 and 2024, employing open-source tools like KNIME and VOSviewer. The research using K-means clustering to identify five thematic clusters indicative of potential future trajectories in the Dew-C area. Dew Computing is a distributed paradigm that focuses on edge computing and seamlessly integrates with Cyber-Physical Systems (CPS) to facilitate real-time data processing and autonomous control across diverse applications, including as healthcare and smart cities. Dew-C, notwithstanding its benefits, faces considerable obstacles regarding data privacy, security, and connectivity because to its reliance on lightweight, resource-constrained devices. Dew-C possesses the capacity to markedly enhance distributed compute owing to its scalability, energy efficiency, and little environmental footprint. Future research should primarily concentrate on the creation of domain-specific applications, resource management approaches, and robust security systems in sectors like as healthcare, environmental monitoring, and smart infrastructure. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025. |
