A5065668102- Software-Defined Networks and 5G
- Software System Performance and Reliability
- Advanced Optical Network Technologies
- Advanced Computing and Algorithms
- Advanced Malware Detection Techniques
- Cloud Computing and Resource Management
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Physical Unclonable Functions (PUFs) and Hardware Security
- Distributed and Parallel Computing Systems
- Image and Video Quality Assessment
- Advanced Wireless Communication Technologies
- Integrated Circuits and Semiconductor Failure Analysis
- Optical Network Technologies
- Age of Information Optimization
- Advanced Photonic Communication Systems
- Caching and Content Delivery
- Advanced Graph Neural Networks
- VLSI and Analog Circuit Testing
- Stochastic Gradient Optimization Techniques
- Smart Grid Security and Resilience
- Mobile Ad Hoc Networks
- Radiation Effects in Electronics
- Quantum-Dot Cellular Automata
University of Bristol
2019-2025
University of Isfahan
2018-2019
Amirkabir University of Technology
2009
ICT Research Institute
2005
Dynamic and flexible optical networking enabled by NFV SDN are the key technology enablers for supporting dynamicity bandwidth requirements of emerging 5G network services. To achieve objective 5G, Network Services (NSes) must be often deployed transparently over multiple administrative technological domains. Such case presents security risks since a typical NS may comprise chain functions, each executed in different remote locations, tampering within infrastructure compromise their...
Extensive research is underway to meet the hyper-connectivity demands of 6G networks, driven by applications like XR/VR and holographic communications, which generate substantial data requiring network-based processing, transmission, analysis. However, adhering diverse privacy security policies in anticipated multi-domain, multi-tenancy scenarios presents a significant challenge. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Federated...
Network Function Virtualization (NFV) enables the implementation of Service Chains (SFCs), where a set ordered Virtual Functions (VNFs) support diverse network services over resources. However, deploying SFCs across multiple domains faces challenges due to resource limitations and confidentiality domain-specific data. Achieving lowlatency SFC placement, followed by deployed service performance guarantee, is under research. Maintaining low endto-end (E2E) latency delivery, while preserving...
Currently, telecommunication research communities are striving towards the adoption of Zero-touch network and Service Management (ZSM) in Network Function Virtualisation (NFV) orchestration. Contemporary efforts on adopting Machine Learning (ML) Artificial Intelligence (AI) have caused an upsurge ZSM application VNF space. While ML AI complement goals for building intelligent NFV orchestration, a deep knowledge about resource consumption by Services (NSs) its constituent Virtual Functions...
Leveraging the potential of Virtualised Network Functions (VNFs) requires a clear understanding link between resource consumption and performance. The current state art tries to do that by utilising machine learning specifically Supervised Learning (SL) models for given network environments VNF types assuming single-objective optimisation targets. Taking different approach, iOn-Profiler poses novel profiler optimising multi-resource type allocation performance objectives using adapted...
The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks. Specifically, intelligent orchestration Virtual Network Functions (VNFs) requires understanding profiling resource consumption. However, all kinds VNFs is time-consuming. It important to consider transferring well-profiled VNF other lack-profiled types while keeping private. To this end, paper proposes a Federated Transfer Component Analysis (FTCA) method between...
First demonstration of quantum-secured end-to-end VNS composition through dynamic chaining VNFs from multiple-domains.We rely on a novel quantum-switched flexi-grid WDM network and q-ROADM for interconnectivity on-demand selection transport functions quality-of-service.
In this paper, we present a zero-touch network orchestrator to autonomously provide an end-to-end orchestration platform orchestrate, monitor, and profile services. Subsequently, describe new method generate performance profiles of these services compute optimum resources required meet the given KPIs targets.
We state a position on addressing the problem of Zero Downtime Edge Application Mobility (ZeroDEAM) for ultra-low latency 5G streaming services. define and use an network gaming case as paradigm investigating solution to contemporary emerging cases characterized by high mobility latency, which require zero downtime after handover. As thesis, we pose conceptual architecture leveraging Machine Learning (ML) potential at network's Edge, where distributed intelligent models in proximity mobile...
In this article, we propose a profile-based data-driven analysis framework to extract and analyze the characteristics behavior of virtualized network functions (VNFs) in networks from resource performance perspective.This represents some solutions for applying profiling information VNF-level service discover correlations.Different machine learning approaches deploy outcomes make predictions proactive orchestration management life cycle.Although there have been number prior studies on VNF...
A technique is described for the automatic insertion of fault models into VHDL gate models, using a specific algorithm to calculate coverage. This procedure does not require any modification structural description circuit these models. Additional optimized algorithms are added illustrate better calculation coverage based combinational logic circuit.
Summary This paper presents a method to improve the reliability and fault tolerance of distributed software‐defined networks. is called “BIRDSDN (Byzantine‐Resilient Improved Reliable Distributed Software‐Defined Networks).” In BIRDSDN, group communication implemented among controllers whole clusters. can detect crash failure Byzantine any controller undertakes fast detection recovery scheme select take over orphan switches. BIRDSDN takes into account nodes considering probability...
The development of the sixth generation communication networks (6G) has been gaining momentum over past years, with a target being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting direction for key features these networks. Some common emerging themes tight integration AI, convergence multiple access technologies sustainable operation, aiming to meet stringent performance societal requirements. To that end, we introducing REASON - Realising...