Embedded Files
research interests
research interests
Quantum Communication Infrastructure
Software-Defined Networking (SDN)
Network Slicing
Satellite Communication
Internet of Things
Research projects
Research projects
University of Luxembourg / January 2023 – May 2026
Research on cost-efficient QCI deployment.
University of Luxembourg / January 2023 – May 2026
Research on Demand-Aware Minimum Cost Quantum Communication Infrastructure and Scheduling key requests with key storage in minimum QCI.
University of Luxembourg / June 2021 – May 2023
Led the design of algorithms for dynamic VNE and VNF scheduling in NTNs.
University of Luxembourg / May 2022 – April 2023
Led the development of RL-based solutions for topology prediction and resource mapping in an NGSO constellation.
University of Luxembourg / Jun 2021 – October 2022
Led the investigation of the standard NFV orchestrator for slicing satellite-based IoT services.
Led the development of the Inter-Slice Scheduler (ISS) software package that simulates the scheduling of satellite uplink bandwidth for satellite based IoT services.
EU HORIZON CHARITY
EU HORIZON CHARITY
Aalto University, Finland / January 2021 – April 2021
Extended the concepts of the software-defined queueing framework by automating the selection of routing paths and queues for traffic flows belonging to heterogeneous priority classes.
MENTORSHIP ACTIVITIES
MENTORSHIP ACTIVITIES
PhD student Muhammad Ahsan
PhD student Muhammad Ahsan
University of Luxembourg / May 2024 – May 2026
Thesis Title: Algorithm Aspects of Network Slicing for the Next Generation Satellite Systems
University of Luxembourg / December 2021 – June 2025
Thesis Title: Optimized Service Provisioning for Next-Generation Applications with Satellite Edge Computing
University of Luxembourg / June 2021 – October 2023
Thesis Title: Traffic Engineering Algorithms for Software Defined Satellite-Terrestrial networks
IIT Kharagpur, India / April 2017 – November 2023
Thesis Title: Resource-Aware Service Provisioning in Fog-Based IoT Systems
IIT Kharagpur, India / June 2017 – August 2021
Thesis Title: Controller Placement in SDN: Energy and Mobility-Aware Perspectives
doctoral research
doctoral research
Thesis Title: Towards Scalable SDN: Enhancement in Data and Control Planes
The Ph.D. dissertation of Dr. Ilora Maity addresses the scalability issues of SDN data and control planes. In her Ph.D. work, she has proposed efficient solution approaches based on a solid mathematical background to enhance SDN scalability. Her solution focuses on rule-space capacity management, flow-rule update, controller placement, control plane load management, and energy-efficient traffic engineering. She has used mathematical concepts such as queueing theory, game theory, tensor decomposition, Markov predictor, and simulated annealing for her research work.
In addition to the thesis, Dr. Maity disseminated her doctoral research through six international journals and one peer-reviewed conference as follows:
Journals
I. Maity, A. Mondal, S. Misra, and C. Mandal, “CURE: Consistent Update With Redundancy Reduction in SDN,” IEEE Transactions on Communications, vol. 66, no. 9, pp. 3974-3981, Sep. 2018, DOI: 10.1109/TCOMM.2018.2825425. (IMPACT FACTOR: 8.3)
I. Maity, A. Mondal, S. Misra and C. Mandal, “Tensor-Based Rule-Space Management System in SDN,” IEEE Systems Journal, vol. 13, no. 4, pp. 3921-3928, Dec. 2019, DOI: 10.1109/JSYST.2018.2879321. (IMPACT FACTOR: 4.4)
I. Maity, S. Misra and C. Mandal, “DART: Data Plane Load Reduction for Traffic Flow Migration in SDN,” IEEE Transactions on Communications, Dec. 2020, DOI: 10.1109/TCOMM.2020.3042271. (IMPACT FACTOR: 8.3)
I. Maity, S. Misra and C. Mandal, “CORE: Prediction-Based Control Plane Load Reduction in Software-Defined IoT Networks,” IEEE Transactions on Communications, Dec. 2020, DOI: 10.1109/TCOMM.2020.3043760. (IMPACT FACTOR: 8.3)
I. Maity, S. Misra and C. Mandal, “SCOPE: Cost-Efficient QoS-Aware Switch and Controller Placement in Hybrid SDN,” IEEE Systems Journal, vol. 16, no. 3, pp. 4873-4880, Nov. 2021, DOI: 10.1109/JSYST.2021.3124280. (IMPACT FACTOR: 4.4)
I. Maity, S. Misra and C. Mandal, “ETHoS: Energy-Aware Traffic Engineering in Hybrid SDN,” IEEE Transactions on Sustainable Computing, vol. 7, no. 4, pp. 875-886, 1 Oct.-Dec. 2022, DOI: 10.1109/TSUSC.2022.3164571. (IMPACT FACTOR: 3.9)
Conference
I. Maity, S. Misra and C. Mandal, “Traffic-Aware Consistent Flow Migration in SDN,” in Proceedings of IEEE International Conference on Communications (ICC), Dublin, Ireland, Jun. 2020, pp. 1-6, DOI: 10.1109/ICC40277.2020.9148983.
TAQNetQCI Application
TAQNetQCI is a standalone application designed to facilitate the deployment of a quantum communication infrastructure (QCI) using a cost-effective and efficient approach. The application leverages advanced algorithms to address key challenges in quantum key distribution (QKD).
Key Features
Minimum Steiner Tree Construction: Utilizes a Steiner tree-based approach to construct a minimum spanning tree (MST) that connects all quantum nodes (QNs) with a minimal number of trusted repeater nodes (TRNs), thereby reducing deployment costs.
Genetic Algorithm-based QKD Request Distribution: Implements a genetic algorithm to distribute QKD requests efficiently, ensuring that the key rate demands of multiple QKD requests are met despite limited path availability and key rate capacities.
Optical Bypassing Technique: Supports QKD between non-adjacent QNs, reducing energy consumption and improving the overall efficiency of the QCI.
Download the app installer here:
TAQNetQCI is based on the following publication:
Ilora Maity, Junaid ur Rehman and Symeon Chatzinotas, "TAQNet: Traffic-Aware Minimum-Cost Quantum Communication Network Planning," in IEEE Transactions on Quantum Engineering, DOI: 10.1109/TQE.2024.3509019.
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