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All Outputs (41)

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks (2025)
Presentation / Conference Contribution
Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency o... Read More about COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks.

Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems (2025)
Presentation / Conference Contribution
Demirbaga, U., Singh Aujla, G., & Sun, H. (2025, June). Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

As the scale of data continues to grow exponentially, managing resource allocation and energy consumption in big data systems becomes increasingly complex and critical. Moreover, with big data systems, energy efficiency is more important daily. In cl... Read More about Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems.

Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum (2024)
Presentation / Conference Contribution
Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (2024, December). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa

The increasing demand for machine learning (ML) technologies has led to a significant rise in energy consumption and environmental impact, particularly within the context of distributed computing environments like the Edge-Fog-Cloud Continuum. This p... Read More about Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum.

Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings (2023)
Presentation / Conference Contribution
Garg, A., Aujla, G., & Sun, H. (2023, October). Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings. Presented at IEEE PES ISGT Europe 2023, Grenoble, France

Carbon emissions are becoming a global concern responsible for climate change. The renewable energy sources (RESs) such as wind, solar, biomass are gaining importance to reduce emissions in the energy sector. However, these sources depend highly on v... Read More about Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings.

Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks (2023)
Presentation / Conference Contribution
Garg;, A., Aujla, G., & Sun, H. (2023, October). Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks. Presented at 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK

With the high penetration of distributed energy resources (DERs), distribution networks have become more prone to uncertainties associated with renewable energy sources (RESs). If not handled judiciously, these uncertainties may lead to interruption... Read More about Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks.

A Simulation-based Decision Support System for Urban Traffic Management (2023)
Presentation / Conference Contribution
Calvio, A., Jindal, A., Bujari, A., Aujla, G. S., & Foschini, L. (2023, November). A Simulation-based Decision Support System for Urban Traffic Management. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

One common challenge faced by smart cities is traffic congestion, caused also unintentionally by city planners, which significantly impacts urban life and the environment. To address these issues, various strategies and approaches are explored, inclu... Read More about A Simulation-based Decision Support System for Urban Traffic Management.

Negative Price Forecasting in Australian Energy Markets using gradient-boosted Machines: Predictive and Probabilistic Analysis (2023)
Presentation / Conference Contribution
Kaur, D., Aujla, G. S., & Mahmud, M. A. (2023, October). Negative Price Forecasting in Australian Energy Markets using gradient-boosted Machines: Predictive and Probabilistic Analysis. Presented at 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, United Kingdom

With the integration of distributed energy resources such as roof-top solar panels and wind turbines into the grid, power generation can surpass demand-generation and thus, giving rise to the negative pricing, especially in the summer months. In this... Read More about Negative Price Forecasting in Australian Energy Markets using gradient-boosted Machines: Predictive and Probabilistic Analysis.

Cross-chain Transaction Validation using Lock-and-Key Method for Multi-System Blockchain (2023)
Presentation / Conference Contribution
Kumar, G., Lahiri, S., Dua, A., & Aujla, G. S. (2023, May). Cross-chain Transaction Validation using Lock-and-Key Method for Multi-System Blockchain. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

Blockchains have profoundly impacted finance and administration, but there are several issues with the current blockchain platforms, including a lack of system interoperability. Currently used blockchain application platforms only work within their n... Read More about Cross-chain Transaction Validation using Lock-and-Key Method for Multi-System Blockchain.

Intrusion Detection in Critical SD-IoT Ecosystem (2023)
Presentation / Conference Contribution
Algamdi, H., Aujla, G. S., Jindal, A., & Trehan, A. (2023, May). Intrusion Detection in Critical SD-IoT Ecosystem. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

The Internet of Things (IoT) connects physical objects with intelligent decision-making support to exchange information and enable various critical applications. The IoT enables billions of devices to connect to the Internet, thereby collecting and e... Read More about Intrusion Detection in Critical SD-IoT Ecosystem.

Privacy & Cloud Services: Are We There Yet? (2021)
Presentation / Conference Contribution
Marikyan, D., Llanos, J., Barati, M., Aujla, G. S., Li, Y., Adu-Duodu, K., Tahir, S., Rana, O., Papagiannidis, S., Ranjan, R., & Carr, M. (2021, August). Privacy & Cloud Services: Are We There Yet?. Presented at 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE), Oxford, United Kingdom

The General Data Protection Regulation (GDPR) remains an important requirement for many electronic services which utilise user data. GDPR compliance verification for a cloud provider is aimed to confirm that personal data provided by a user is shared... Read More about Privacy & Cloud Services: Are We There Yet?.

An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment (2020)
Presentation / Conference Contribution
Kumar, N., Dhand, T., Jindal, A., Aujla, G. S., Cao, H., & Yang, L. (2020, December). An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment. Presented at 2020 IEEE 21st International Symposium on 'A World of Wireless, Mobile and Multimedia Networks' (WoWMoM)

Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios (2020)
Presentation / Conference Contribution
Singh, M., Aujla, G. S., Bali, R. S., Vashisht, S., Singh, A., & Jindal, A. (2020, September). Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. Presented at Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, London, United Kingdom

COVID-19 made the world stop, with people trapped inside their homes and governments trying to restrict the public movement. However, to accomplish this, one big problem that emerged and outscored everything else was catering to the day to day necess... Read More about Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios.