Journal of Intelligent Communication

Review

Dew Computing: Survey

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https://doi.org/10.54963/jic.v5i1.2417
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Sufyan, M.M.A.E., Al‑Sarori, M.H., Al‑Asaly, M., Alkershi, A.K. and Abdullah, D.G. 2026. Dew Computing: Survey. Journal of Intelligent Communication. 5, 1 (Jun. 2026), 174–203. DOI:https://doi.org/10.54963/jic.v5i1.2417.
Volume 5 Issue 1: June 2026
Copyright (c) 2026 Mubarak Mohammed Al Ezzi Sufyan, Mokhtar H. Al‑Sarori, Mahfoudh Al‑Asaly, Asma’a Khalil Alkershi, DhyfUllah Ghaleb Abdullah
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Authors

  • Mubarak Mohammed Al Ezzi Sufyan

    Department of Computer Information Systems, Al‑Jawf Faculty, University of Saba Region, Marib, Yemen
  • Mokhtar H. Al‑Sarori

    Computer Information Systems Department, College of Information Technology, and Computer Science, Marib, Yemen
  • Mahfoudh Al‑Asaly

    Department of Information Technology, College of Computer, Qassim University, Buraydah 51174, Saudi Arabia
  • Asma’a Khalil Alkershi

    Department of Information Technology, College of Information Technology, and Computer Science, Marib, Yemen
  • DhyfUllah Ghaleb Abdullah

    Department of Computer Science, College of Information Technology, and Computer Science, Marib, Yemen

Received: 5 February 2026; Revised: 7 May 2026; Accepted: 19 May 2026; Published: 24 June 2026

Dew Computing (DC) has recently emerged as a complementary computing paradigm that extends cloud, fog, and edge computing by enabling autonomous, local-first computation directly at end-user devices. Unlike traditional distributed models that rely on centralized or near-edge infrastructures, Dew Computing emphasizes offline-capable, low-latency, and resilient processing at the extreme edge, while maintaining synchronization with fog and cloud layers when connectivity is available. This paper presents a systematic and comprehensive review of Dew Computing based on a structured literature analysis, covering its conceptual foundations, architectural models, and operational mechanisms. The study analyzes key Dew-based architectures, including cloud–dew and hybrid edge frameworks, highlighting their role in reducing latency, improving fault tolerance, enhancing energy efficiency, and supporting privacy-preserving local processing. In contrast to existing surveys, this work provides a critical synthesis of current approaches by identifying their strengths, limitations, and deployment trade-offs across different application scenarios. Furthermore, the paper examines major application domains such as Internet of Things (IoT), smart healthcare, smart agriculture, and cyber-physical systems, where Dew Computing demonstrates advantages in real-time responsiveness and operational resilience. Security and privacy challenges are also analyzed, focusing on recent solutions such as blockchain-based trust management, federated learning, lightweight cryptographic protocols, and AI-driven intrusion detection, while highlighting unresolved issues related to scalability and resource constraints. Unlike prior works, non-computing interpretations such as meteorological dew-point modeling are excluded or clearly distinguished to avoid conceptual ambiguity. Finally, the survey identifies open research challenges, adoption barriers, and future research directions, positioning Dew Computing as a key enabler for decentralized, user-centric, and resilient next-generation computing systems.

Keywords:

Dew Computing Internet of Things (IoT) Resource Management Security and Privacy Decentralized Computing Local‑First Computing

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