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University of Trento DAMASCO kickoffDzmitry Kliazovich
DIT - University of Trento
Computer Networks and Mobilityhttp://netmob.unitn.it/
Dzmitry Kliazovich and Roberto Battiti
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Faculty• Roberto Battiti (Director of
the research program) • Alberto Montresor• Renato Antonio Lo Cigno • Fabio Massacci • Marco Ronchetti • Mauro Brunato • Fabrizio Granelli
• Technical staff
• Alessandro Villani
• Franco Mascia
• Project Consultants
• Stefano Poletti
• Marco Tomazzoni
• Phd Students
• Damiano Carra
• Roberto Gioacchino Cascella
• Csaba Kiss Kalló
• Thang Le Nhat
• Viet Thang Nguyen
• Mikalai Sabel
• Elio Salvadori
• Srinivas Pasupuleti
• Marco Biazzini
People
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Research Areas
1. Algorithms for discrete problems and reactive heuristics
Real-world applications require heuristics
Local search complemented by history-sensitive (reactive)
mechanisms (Reactive Search)
http://www.reactive-search.org/
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Research Areas2. Wireless networks Resource assignment and management in wireless
radio networks Greedy, prohibition, and Reactive Search
3. Wi-Fi wireless LANs Location- and context-aware services (see also the WILMA
project below).
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Research Areas
4. Cross-Layer Design
Adaptive protocol design Closer optimization Joint performance improvement
App licatio n
Transpo rt
Netw ork
L ink
Physical
App licatio n T ranspo rt Netwo rk L ink Physical
Bit Erro r Rate ( BER)Ba ndwidth
BER, S NRModulatio n sch eme
Tx powerMedium s ense
Band width
Pr otocol (TC P, UDP)
Con nection capacity( thro ughput, RTT)
Packet loss
BandwidthBit Error Rate (BER)
BandwidthMo dulation sche me
FEC, ARQMTU, LL BandwidthHandoff, Link stateFrame Er ror Rate
Ha ndoffLL Bandwidth
Link stateFrame Er ror Rate
LL Bandwid thFrame Er ror Rate
FECFr ame Erro r Rate
Network changeNetwork change
QoS QoS Qo S QoS
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Research Areas5. Neural networks and pattern recognition, location-awareness
Partial specification and a subsequent training (optimization) phase
Sub-symbolic (inductive) machine learning
Adapt services to different contexts and individual users (sentient computing)
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Research Areas
6. Middleware and distributed systems
Quality of Service models
Seamless and efficient management of networks and of information distributed to the users
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University of Trento DAMASCO kickoffDzmitry Kliazovich
Projects
– ADONIS, Algorithms for Dynamic Optical Networks based on Internet Solutions
– GRID.it, An Italian National Research Council Project on Grid Computing
– EU integrated projects BIONETS (Create-net), CASCADAS– E-NEXT, EU FP6 Network of Excellence on Internet protocols
and services – TWELVE, ToWards Enhancing 802.11 support of differentiated
service LeVEls – QuaSAR, "Qualità e Controllabilità dei Servizi di Comunicazione
su Reti Eterogenee" – Project WILMA: ( http://www.wilmaproject.org ) – PAT funding
design and management of a sentient computing system to support mobile users through a wireless Internet (Wi-Fi) infrastructure. location- and context-aware systems
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University of Trento DAMASCO kickoffDzmitry Kliazovich
OpenLab - The Wilma Project testbed
Partners
Contact:
Outdoor layout
Indoor layout
Groud floorFirst floor
Faculty of Science
City of Trento • Fiber LAN• 18 Access Points • 14 Yagi antennas • 3 Omni Antennas• 1 Patch Antennas
More than 20 Access Points
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University of Trento DAMASCO kickoffDzmitry Kliazovich
DAMASCO• Ad hoc and peer to peer vehicular Networking (STM, ISMB, UCLA,
UNITN, UNIBO)
• Unique contribution: make existing solutions suitable for fast changing vehicle scenarios
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University of Trento DAMASCO kickoffDzmitry Kliazovich
DAMASCO• Localization and nodes position estimation techniques (WiFi,
Bluetooth or 802.15.4 scenarios).
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University of Trento DAMASCO kickoffDzmitry Kliazovich
DAMASCO
• Data collection, processing and presentation (HMI) for ad hoc and peer to peer applications(UCLA, UNITN, UNIBO)
• Location aware collaborative recommendation
• The use of ad hoc and traditional wireless networks (3G)