- Advanced Optical Network Technologies
- Software-Defined Networks and 5G
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Caching and Content Delivery
- Network Security and Intrusion Detection
- Network Traffic and Congestion Control
- Internet Traffic Analysis and Secure E-voting
- Neurological disorders and treatments
- Wireless Body Area Networks
- RFID technology advancements
- Human Mobility and Location-Based Analysis
- Advanced Authentication Protocols Security
- Power Line Communications and Noise
- Traffic Prediction and Management Techniques
- Advanced MIMO Systems Optimization
- Green IT and Sustainability
- Bluetooth and Wireless Communication Technologies
- Optical Wireless Communication Technologies
- QR Code Applications and Technologies
- Parkinson's Disease Mechanisms and Treatments
- E-Learning and Knowledge Management
- Industrial Vision Systems and Defect Detection
- EEG and Brain-Computer Interfaces
- Scientific Research and Technology
Politecnico di Milano
2014-2020
Consorzio di Bioingegneria e Informatica Medica
2018
Simón Bolívar University
2008-2016
Paradoxically, with an ever-increasing traffic demand, today transport-network operators experience a progressive erosion of their margins. The alarms change are set, and software define networking (SDN) is coming to the rescue promise reducing capital expenditures operational expenses. Driven by economic needs network innovation facilities, transport SDN (T-SDN) reality. It gained big momentum in last years, however, industry, will be perhaps segment embrace SDN, mainly due heterogeneous...
In general, humans follow a routine with highly predictable daily movements. For instance, we commute from home to work on basis and visit selected set of places for commercial recreational purposes during the nights weekends. The use mobile phones increases when commuting via public transportation, lunch breaks, at night. Such regular behavior creates spatiotemporal fluctuations traffic patterns. this paper, introduce matheuristic dynamic optical routing, which can be implemented as an...
In recent years, researchers realized that the analysis of traffic datasets can reveal valuable information for management mobile and metro-core networks. That is getting more true with increase in use social media Internet applications on devices. this work, we focus deep learning methods to make prediction matrices allow us proactively optimize resource allocations optical backbone Recurrent Neural Networks (RNNs) are designed sequence problems they achieved great results past years tasks...
Recently, machine learning (ML) has attracted the attention of both researchers and practitioners to address several issues in optical networking field. This trend been mainly driven by huge amount available data (i.e., signal quality indicators, network alarms, etc.) large number optimization parameters which feature current networks (such as, modulation format, lightpath routes, transport wavelength, etc.). In this paper, we leverage techniques from ML discipline efficiently accomplish...
With the advent of 5G technology, we are witnessing development increasingly bandwidth-hungry network applications, such as enhanced mobile broadband, massive machine-type communications and ultra-reliable low-latency communications.Software Defined Networking (SDN), Network Function Virtualization (NFV) Slicing (NS) gaining momentum not only in research but also IT industry representing drivers 5G.NS is an approach to operations allowing partition a physical topology into multiple...
Due to the highly predictable daily movements of citizens in urban areas, mobile traffic shows repetitive patterns with spatio-temporal variations. This phenomenon is known as Tidal Effect analogy rise and fall sea levels. Recognizing defining load at base station thus plays a vital role engineering, network design balancing since it represents an important solution for Internet Service Providers (ISPs) that face congestion problems or over-provisioning link capacity. Previous works have...
We demonstrate a Machine-Learning-based routing module for software-defined networks. By training with the optimal solutions of historical traffic traces, can classify matrices to provide real-time decisions.
The growth of intra data center communications, cloud computing and multimedia content applications force transport network providers to allocate resources faster, smarter dynamically. Software-defined Networking (SDN), has been proposed create a unified control plane for networks (Transport SDN). This article presents an overview on Transport SDN proposals based OpenFlow, the de facto protocol. OpenFlow is at forefront models several testbeds have proved implementation multi-domain...
Multipath TCP is an extension to protocol that allows a single connection be split across multiple paths. MPTCP overcomes few limitations of thereby offering added benefits like increased throughput and network resource utilization resilience possible link failures. Different data paths over the face different end-to-end path delay. The performance affected not only by delay but also difference in delays experienced various same connection. runs on host, it aware underlying topology. Hosts...
In general, humans follow highly predictable daily movements. We commute from residential to working and/or educational areas in a basis, and we have selection of commercial recreational for the nights weekends. also use mobile phone at regular hours, example when commuting, during lunch break night. Such behavior creates spatio-temporal fluctuations traffic patterns, which analogy periodical rise fall sea levels, its known as tidal phenomenon. this paper, propose suite on-line matheuristics...
In the midterm future Near Field Communications (NFC) is expected to spread up within healthcare sector. This article reviews use of NFC in Application areas, cases, potential benefits and barriers, will be presented. The present study provides guidance for researchers adopting deploying medical main security applications are patient's identification medication control. can also used resource control, management data acquisition remote delivery applications. are: improvement care quality,...
This work demonstrates a hierarchical control plane architecture for Software Defined Networking (SDN)-based Segment Routing (SR) in multi-domain networks. An orchestrator application, on top of multiple open source SDN controllers, creates using northbound RESTFul APIs controllers. The has control, visibility and traffic engineering capabilities to manage SR service creation. Standard southbound interfaces with proper extensions are exploited tunnels the MPLS data plane.
We propose a methodology to optimize the decisions of mobile metro-core network orchestration systems. use machine-learning-based traffic prediction dynamically provision resources in advance. Resource allocation and reconfigurations are calculated through heuristic that combines reinforcement learning mixed integer linear programming.
The fifth generation telecommunication standard (5G) will make use of novel technologies, such as Software Defined Networks (SDN) and Network Function Virtualization (NFV). New models are integrating SDN NFV in a control plane entity responsible the Management Orchestration (MANO) whole system. This entity, acting director 5G plane, is known Service Orchestrator. work presents SENATUS, an experimental service orchestrator targeting research testing environments. SENATUS implements set...
Enterprise Networking (EN) services are source of high revenues for carriers. However, the traditional way providing and selling those to enterprise business customers is ossified unsatisfactory users. High prices, static connections slow time provision, make users doubtful about whether guaranteed connectivity worth price push them look alternative solutions. That poses carriers at risk customer leak. This paper explains how SDN can foster evolution EN in order appealing again enterprises....
We demonstrate how a hybrid and hierarchical transport-SDN control plane based on network orchestrator an SDN controller can provide dynamic slicing for enterprisenetworking services mobile metro-core networks.
The high predictability in human mobility patterns is a valuable information to optimize resource allocation and increase energy efficiency by effectively adapting expected traffic load variations. In this work, we addressed the impact of mobile users metro area over aggregated offered metro-core networks. Exploiting predictable trends recognized traffic, propose two optimization methods reduce consumption optical layer Our results display savings more than 20% introducing adaptive network operation.
Nowadays, companies strongly rely on Virtual Private Networks (VPNs) to deliver services between geographically distributed branch offices. Internet Service Providers (ISPs) must therefore offer a reliable and cost-effective connectivity solution. VPNs are commonly based static bandwidth allocation over MPLS tunnels, which cause over-provisioning under-utilization of network resources. Software Defined Networking (SDN) appears as solution provide agile enterprise networking while reducing...
Some Latin American companies have noticed how the advantages of RFID technology can help them to compete in world market. The deployments allow reducing fabrication and transportation costs time expended on inventories. permits control companies' production, allowing meet demand a more opportune effective way. main objective this paper is show advances America. Deployments systems from diverse sectors will be demonstrated illustrate profits provided by technology.