Research & Publications

Abstract

Extended journal version of the EdgeLinker work: a Proof-of-Authority blockchain framework for healthcare fog environments, integrating smart contracts for access control and advanced cryptography for secure edge-fog data exchange. Evaluated on a real-world fog testbed with an in-depth security analysis (Sybil, 51%, replay, and DDoS attacks), it improves data read time by roughly 35% without significant write-time cost, alongside better throughput and resource and energy efficiency.

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Abstract

EdgeLinker is a practical blockchain framework for healthcare fog applications: Proof-of-Authority consensus, Ethereum smart contracts for access control, and advanced cryptographic algorithms for secure data communication between IoT edge devices and the fog layer. Implemented on a real-world fog testbed with COTS devices, it achieves a 35% improvement in data read time over the state of the art without significant write-time changes, with better read and write throughput and measured gains in energy, resource consumption, and channel latency.

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Abstract

This paper proposes a hybrid discrete optimization method called HDSOS-GOA using Dynamic Voltage and Frequency Scaling (DVFS) for scientific workflow scheduling in fog computing environments. The method combines Symbiotic Organisms Search (SOS) and Grasshopper Optimization Algorithm (GOA) with learning automata to reduce energy usage and makespan while improving performance compared to PSO and GWO algorithms.

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Citations & Impact

Cited in multiple publications (2024-2025) including Computing, Cluster Computing, and Software: Practice and Experience journals