A Review of Integrated Data Management in IoT-Fog-Cloud Environments
PhD Comprehensive Exam by: Younes Jahandideh
Date: May 13th, 2026
Time: 11:00 AM – 1:00 PM
Location: 122 Essex Hall
Abstract: The rapid growth of the Internet of Things (IoT) has introduced significant challenges for managing large-scale data across distributed and heterogeneous environments. Integrated IoT-fog-cloud systems provide a promising approach for supporting scalable, latency-aware, and adaptive data management. This comprehensive review examines integrated data management approaches from architectural, operational, and functional perspectives. The reviewed literature is organized into four major directions: storage and retrieval, data processing, analytics, and security and privacy. Representative studies are compared in terms of their focus, methods, strengths, and limitations. The review identifies key research gaps, including fragmented solutions, limited cross-layer coordination, insufficient adaptivity, and challenges in multi-objective optimization. It also highlights future directions toward unified, context-aware, and adaptive data management frameworks for heterogeneous IoT-fog-cloud systems.
Keywords: Internet of Things (IoT), Fog Computing, Cloud Computing, Data Management, Integrated Systems.
PhD Doctoral Committee:
External Reader: Dr. Majid Ahmadi
Internal Reader: Dr. Arunita Jaekel
Internal Reader: Dr. Ikjot Saini
Advisor(s): Dr. Ziad Kobti, Dr. Ning Zhang
