A5016646288- Caching and Content Delivery
- Software-Defined Networks and 5G
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Privacy-Preserving Technologies in Data
- Advanced Computing and Algorithms
- Advanced MIMO Systems Optimization
- Image and Video Quality Assessment
- Peer-to-Peer Network Technologies
- Telecommunications and Broadcasting Technologies
- Network Security and Intrusion Detection
- IoT Networks and Protocols
- Stochastic Gradient Optimization Techniques
- Advanced Memory and Neural Computing
- Internet Traffic Analysis and Secure E-voting
- Multimedia Communication and Technology
- Advanced Optical Network Technologies
- Cryptography and Data Security
- Cloud Computing and Resource Management
- Advanced Malware Detection Techniques
- Innovative Teaching Methods
- Energy Efficient Wireless Sensor Networks
- Quantum-Dot Cellular Automata
University of Bristol
2019-2025
EURECOM
2018-2020
Athens University of Economics and Business
2007-2018
The current Internet architecture was founded upon a host-centric communication model, which appropriate for coping with the needs of early users. usage has evolved however, most users mainly interested in accessing (vast amounts of) information, irrespective its physical location. This paradigm shift model Internet, along pressing for, among others, better security and mobility support, led researchers into considering radical change to architecture. In this direction, we have witnessed...
Media use cases for emergency services require mission-critical levels of reliability the delivery media-rich services, such as video streaming. With upcoming deployment fifth generation (5G) networks, a wide variety applications and with heterogeneous performance requirements are expected to be supported, any migration 5G networks presents significant challenges in quality service (QoS), operators. This paper novel SliceNet framework, based on advanced customizable network slicing address...
Federated Learning (FL) enables collaborative model training across edge devices while preserving data locally. Deploying FL faces challenges due to device heterogeneity. Using cloud technologies like Kubernetes (K8s) can offer computational elasticity, yet may compromise privacy principles. K8s jeopardise by potentially allowing malicious clients access other resources given its flat networking approach. This paper introduces the privacy-preserving operator kubeFlower. It addresses risks...
The Internet is straining to meet demands that its design never anticipated, such as supporting billions of mobile devices and transporting huge amounts multimedia content. publish-subscribe (PSI) architecture, a clean slate information-centric networking approach the future Internet, was designed satisfy current emerging user for pervasive content delivery, which can no longer handle. This article provides an overview PSI explaining operation from bootstrapping information focusing on...
We present a Selective Neighbor Caching (SNC) approach for enhancing seamless mobility in ICN architectures. The is based on proactively caching information requests and the corresponding items to subset of proxies that are one hop away from proxy mobile currently connected to. A key contribution this paper definition target cost function captures tradeoff between delay cache cost, simple procedure selecting appropriate neighbors which considers behavior users.
In this article, we present the design and implementation of software-defined IoT management (SDIM) framework based on networking (SDN)-enabled architecture that is purposely built for edge computing multidomain wireless sensor networks (WSNs). This can dynamically provision devices to enable machine-to-machine (M2M) communication as well continuous operational fault detection WSNs. Unlike existing approaches in literature, SDIM mainly deployed at multiaccess (MEC) nodes integrated with...
The autonomous placement of Virtual Network Functions (VNFs) is a key aspect Zero-touch network and Service Management (ZSM) in Fifth Generation (5G) networking. Therefore, current orchestration frameworks need to be enhanced, accordingly. To address this need, work presents an Adapted REinforcement Learning VNF Performance Prediction module for Autonomous Placement, namely AREL3P. Our solution design bears dual novelty. First, it leverages end-to-end service-level performance predictions...
We present a distributed proactive caching approach that exploits user mobility information to decide where proactively cache data support seamless mobility, while efficiently utilizing storage using congestion pricing scheme. The proposed is applicable the case objects have different sizes and two-level hierarchy, for both of which problem hard. Our evaluation results show how various system parameters influence delay gains approach, achieves robust good performance relative an oracle...
The study of Service Function Chains (SFCs) placement problem is crucial to support services flexibly and use resources efficiently. Solutions should satisfy various Quality requirements, avoid edge resource congestion, improve service acceptance ratio (SAR). This work presents a novel approach address these challenges by solving <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">multi-objective SFCs placement</i> based on the Pointer Network in...
Raspberry Pi Pico, based on chip RP2040, is an easy-to-use development micro-controller board that can provide flexible input/output functions and meets the teaching needs of basic electronics to first-year university undergraduates. This paper presents our blended laboratory design using Pico for course unit Digital Circuits Systems. Considering impacts Coronavirus Disease 2019 (COVID-19) reduced number students attending in-person laboratory, we alternative approach online simulator...
We present LL-MEC, the first open source Low-Latency Multi-access Edge Computing (MEC) platform enabling mobile network monitoring, control, and programmability while retaining compatibility with 3GPP ETSI specifications. LL-MEC achieves coordinated resource in end-to-end slicing scenarios by leveraging SDN towards an appropriate allocation of resources, thus drastically improving performance slices. evaluate three practical case studies, namely, (i) slicing, (ii) RAN-aware video content...
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...
Information-Centric Networking (ICN) is a novel paradigm for future Internet architectures. It exploits the current trend in usage which mostly involves information dissemination. ICN architectures based on publish/subscribe model use names order to route requests and data, as well facilitate in-network caching, anycasting multicasting efficient content delivery. However, numberof named objects expected be huge Internet, raising serious concerns with respect global-scale deployment of ICN....
Information-centric networking (ICN) has long been advocating for radical changes to the IP-based Internet. However, upgrade challenges that this entails have hindered ICN adoption. To break loop, POINT project proposed a hybrid, IP-over-ICN, architecture: IP networks are preserved at edge, connected each other over an core. This exploits key benefits of ICN, enabling individual network operators improve performance their services, without changing rest We provide overview and outline how it...
Name resolution is at the heart of Information-Centric Networking (ICN), where names are used to both identify information and/or services, and guide routing forwarding inside network. The ICN focus on information, rather than hosts, raises significant concerns regarding scalability required Resolution System (NRS), especially when considering global scale, inter-domain deployments. In route-by-name approach NRS construction, name corresponding state follow infrastructure underlying...
We present our recent work investigating how mobility prediction can be exploited for improving the performance of mobile users in two directions: proactive caching requested content close to network attachment points where a has high probability connect and DASH (Dynamic Adaptive Streaming over HTTP) video quality adaptation. For we discuss new model proactively cache based on both popularity. An important feature is that it dynamically adapts decisions relative importance factors....
Fifth Generation (5G) networks are envisioned to be fully autonomous in accordance the ETSI-defined Zero touch network and Service Management (ZSM) concept. To this end, purpose-specific Machine Learning (ML) models can used manage control physical as well virtual resources a way that is compliant slice Level Agreements (SLAs), while also boosting revenue of underlying operator(s). This because specially designed trained ML both proactive very effective against management issues induce...