Lab Updates

News & Insights

Latest from NGCSA — research updates, publications, awards, media coverage, and commentary on distributed computing.

📄 Publication
HRFP Prefetching Algorithm Published in MDPI Electronics
New research on Highly Relevant Frequent Patterns-based prefetching and caching for distributed file systems published, demonstrating up to 43% I/O latency reduction.
🔬 Research
NTU Research Fellowship: Blockchain NFT Standards Project Begins
Dr. Battula joins Nanyang Technological University, Singapore as Research Fellow to develop cross-chain NFT interoperability standards for next-generation decentralised systems.
📄 Publication
Blockchain SLA Framework Published in Journal of Supercomputing
The NGCSA blockchain-based automatic SLA management framework for Fog Computing environments is published in Springer's Journal of Supercomputing — a Q1 venue.
📅 Event
Invited Lecture at Siksha 'O' Anusandhan University on Service Oriented Computing
Dr. Battula delivers an invited lecture on Service Oriented Computing architecture, microservices, and modern API design patterns to faculty and graduate students.
🔬 Research
PhD Thesis Successfully Submitted and Examined
Dr. Battula successfully defends his PhD thesis "Resource Management in Fog Computing Environments" at the University of Tasmania, completing the TGRS scholarship programme.
📄 Publication
FogAuthChain Published in Elsevier Computer Communications
Secure blockchain-based location authentication scheme for Fog computing published in Elsevier's Computer Communications journal, addressing replay attack vulnerabilities in edge deployments.
📰 Perspective
Commentary: The Future of Fog Computing in 5G and Beyond
Dr. Battula shares research insights on how Fog Computing architectures must evolve to meet the ultra-low latency demands of 5G, autonomous vehicles, and real-time industrial IoT systems.
🔬 Research
NGCSA Joins University of Tasmania as Teacher and Educator
Dr. Battula takes up a Teacher and Educator position at the University of Tasmania, establishing the NGCSA lab and continuing active research in distributed systems and blockchain.
💡 Perspective
Why Neuromorphic Computing Will Power the Next Generation of Edge AI
A research perspective on how spiking neural networks and neuromorphic chips like Intel Loihi represent the most promising path to genuinely intelligent, energy-efficient edge computing systems.