Download presentation
Presentation is loading. Please wait.
1
Marie Curie Chairs (EXC) IP FLows over Optical and Wireless (“IP-FLOW”) “Kick-off” Meeting – Monday 28 June, 2004 Yoram Ofek Department of Information and Communications Technology University of Trento, Italy
2
Prof. Yoram Ofek - DIT - University of Trento, Italy 2 Agenda 10:30 Opening: Prof. Fausto Giunchiglia – Vice Rector – University of Trento Prof. Roberto Battiti – University of Trento Mr. Philippe Froissard – European Union 10:45 Prof. Yoram Ofek (University of Trento) – IP-FLOW Overview and Planning Discussion/planning Research Area 1: 11:30 Prof. Mario Baldi (Politecnico di Torino) and Prof. Achille Pattavina (Politecnico di Milano) – “Minimum Complexity Non-blocking Switching” 11:50 Prof. Mario Baldi and Ing. Guido Marchetto (Politecnico di Torino) – "Time-based Router” 11:40 Prof. Yoram Ofek “40 Tb/s Time-based Non-blocking Switch Design” Lunch 12:00 – 13:00 Discussion/planning Research Area 2: 13:00 Prof. Moti Yung (Columbia University - USA) – “Trusted Flow: Why, How, and Where?” 13:15 Prof. Fabio Massacci (University of Trento) – “Malware Protection” 13:30 Prof. Roberto Battiti (University of Trento) – “Trust and Location” 13:45 Dr. Paolo Falcarin and Dr. Maurizio Morisio (Politecnico di Torino) – “A proposed TrustedFlow System Architecture with Aspect-oriented Implementation” 14:15 Dott. Davide D'Aprile Dr. Daniele Mazzocchi (Istituto Superiore Mario Boella - Torino) – “A TrustedFlow Enabled Run-time Environment and Trusted Flow Formal Specification” 14:30 Dr. Luca Tagliaferri and Prof. Paolo Prinetto (Politecnico di Torino) – “Code Self-checking Techniques for TrustedFlow Implementation” Discussion/planning Research Area 3: 15:00 Prof. Bezalel Gavish (SMU - USA) – Placement of multidirectional antennas 15:15 Prof. Andrea Massa / Prof. Renato Lo Cigno (University of Trento) – “the inter-relationship: APs placement, antenna design, Radio wave propagation properties” 15:30 Prof. Yoram Ofek (University of Trento) – Concluding Discussion 16:00 – 16:30 Refreshment 16:30 – 18:00 Separate discussions and detailed planning 20:00 – Dinner – Ristorante Chiesa
3
Prof. Yoram Ofek - DIT - University of Trento, Italy 3 IP-FLOW Overview Focus on: 1. Flow (switching/forwarding) of data over the Internet: optical and wireless [Rather than on routing] 2. Internet/telecom business and security
4
Prof. Yoram Ofek - DIT - University of Trento, Italy 4 IP-FLOW Overview Research Area 1 – UTC-based pipeline forwarding for solving switch and link bottlenecks delivery of very high capacity streaming data Research Area 2 – TrustedFlow for run-time software authentication trusted delivery and processing of data Research Area 3 – B-GLOW - Broadband services via GLobal Optical and Wireless integration - delivering streaming data to Wi-Fi clients
5
Prof. Yoram Ofek - DIT - University of Trento, Italy 5 Research Area 1 - Motivation The Telecom (Unfinished) Story Why the telecom industry: vendors and providers are more or less in “bankruptcy” ( two trillions $ debts) They ignored cash flow: 1. spending money wisely … 2. earn more money from new services Optimal UTC-based pipeline forwarding ensures: 1. Efficient expenditure on equipment/infrastructure: Single fully utilized network – convergence to 1 wire 1 network 2. Revenue from services with deterministic QoS: Streaming/interactive media: video, audio, multimedia
6
Prof. Yoram Ofek - DIT - University of Trento, Italy 6 Pipelines are deployed to increase efficiency in Factory (automotive), Computers (CPU), … NOW (deterministic) pipeline over the Internet! Thanks to GPS//... that provides UTC – Coordinated Universal Time everywhere NOW (deterministic) pipeline over the Internet! Thanks to GPS/ GALILEO /... that provides UTC – Coordinated Universal Time everywhere Research Area 1 UTC-based Pipeline Forwarding/Switching Time-driven Switching (TDS) 12 1000 Time Cycle0 12 1000 Time Cycle1 12 1000 Time Cycle 79 UTC second Time-of-Day or UTC 0 beginning of a UTC second Time-driven Priority (TDP) Optimal for Video-Conferencing – Why?
7
Prof. Yoram Ofek - DIT - University of Trento, Italy 7 Research Area 1 UTC-based for Streaming Media Deterministic performance: No loss, Minimum delay and Constant jitter end-to-end delay < 100 ms - interactive voice/video Minimum buffers for all-optical realization Enables huge capacity increase for streaming 1000 capacity increase may create major switching bottlenecks
8
Prof. Yoram Ofek - DIT - University of Trento, Italy 8 Research Area 1 UTC-based Switching Complexity Minimum complexity non-blocking switching – thus very high scalability Analytically proven UTC-based switch = Banyan Minimum complexity Crossbar: Clos:
9
Prof. Yoram Ofek - DIT - University of Trento, Italy 9 Crosspoint Switches: Vitesse –VSC3140VC, or MindSpeed – M21150 32-by-32 320 Gbps 1 32 32-by-32 320 Gbps 1 32 1 32-by-32 320 Gbps 1 32 32-by-32 320 Gbps 1 32 1 32x320: 10 Tbps Switching Module Electrical Interconnection Research Area 1 UTC-based 40 Tera-bit/s Switch
10
Prof. Yoram Ofek - DIT - University of Trento, Italy 10 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 32-by-32 1 32 32-by-32 1 32 1 Only off-the-shelf components Thus, simple to prototype Pipeline Forwarding Switch Controller 32-by-32 1 1 32 10 Tbps Switching Module Interconnection: Electrical or Optical UTC Research Area 1 UTC-based 40 Tera-bit/s Switch 50 times less complexity than HFR (Cisco newest switch)
11
Prof. Yoram Ofek - DIT - University of Trento, Italy 11 Research Area 1 Optical to Wireless Challenge Optical/wireless bandwidth mismatch – factor of 1000 or more UTC-based forwarding ensures: Minimum delay buffering and delay Deterministic no loss Bandwidth Mismatch Animation Bandwidth Mismatch Animation
12
Prof. Yoram Ofek - DIT - University of Trento, Italy 12 Ph.D. Thesis Opportunities in Research Area 1 The research activities in this area will be open for students to propose and define their activities since there are still many open issues with regard to performance and realization. Blocking probability analysis of global IP network with time-driven switching and time-driven priority Optics vs. electronics: qualitative and quantitative comparison of UTC-based pipeline forwarding Bandwidth mismatch: streaming from optical to wireless Network architecture design and performance evaluation of multi terabit/second IP packet switches Performance study of time-driven “best-effort” traffic over IP networks
13
Prof. Yoram Ofek - DIT - University of Trento, Italy 13 Research Area 2 Computing and Networking Fundamental inventions in the past 50 years: Transistor Laser & optical fiber Lead to exponential growth in Computing Networking Doubling performance every 18-24 mo. - a.k.a. Moore's "Law“ Led to the convergence of: Computing and Networking
14
Prof. Yoram Ofek - DIT - University of Trento, Italy 14 Research Area 2 Computing and Networking Today, Internet: computing/networking are ONE Thus, trusted operation is a major challenge Critical to business: Temporal (and spatial) manipulation of protocols On-line bidding / stocks trading DoS, DDoS – loss of revenues Stealing: content, SW and information
15
Is it possible to use the network to alleviate networking trust problem?
16
Prof. Yoram Ofek - DIT - University of Trento, Italy 16 Research Area 2 The Context of TrustedFlow A method that combines: Computing and networking For distribution of trust or entrusting Stand-alone computer can be trusted, by definition !
17
Prof. Yoram Ofek - DIT - University of Trento, Italy 17 Research Area 2 What Do We Want to Achieve? Remote authentication of code during execution Trusted 1 st computer ensure that SW executed on Untrusted 2 nd computer was not modified Thereby, entrusting the 2nd computer
18
Prof. Yoram Ofek - DIT - University of Trento, Italy 18 Research Area 2 The Trust Problem Definition How to ensure run-time SW authenticity Focusing on two generic protocols: 1. Sending packets: To avoid unfair usage/attacks on networks/servers TCP, SLA, 802.11, … 2. Receiving packets (e.g., content): To ensure digital right management (DRM) Audio, video …
19
Prof. Yoram Ofek - DIT - University of Trento, Italy 19 Research Area 2 How: Entrusting (Stream of) Tags are EMANATED from a program=code=software at run-time ENTRUSTING by verifying the Tags Tags Trusted Computer UNtrusted Computer Entrusting NetworkingComputing
20
Prof. Yoram Ofek - DIT - University of Trento, Italy 20 Research Area 2 How: Entrusting Untrusted Computing Environment Trusted Computing Environment Tag Checker (TC) “HARDENED” with Special Hardware/Software (e.g., TCPA) (Stream of) Tags Associated with Periodic Replacement of SW parts & Parameters Trusted Computer Entrusted SW on UNtrusted Computer Entrusting SW by Verifying Tags SW with Tag Generator (TG) Sending Packets Receiving Packets
21
Prof. Yoram Ofek - DIT - University of Trento, Italy 21 Research Area 2 Quality of Remote SW Authentication with TrustedFlow TIME: periodic replacement of SW components and parameters SPACE: interlocking and Hiding Of Tag Generation BetterRemoteAuthenticationOperations
22
Prof. Yoram Ofek - DIT - University of Trento, Italy 22 Ph.D. Thesis Opportunities in Research Area 2 TrustedFlow for streaming media content protection and management TrustedFlow for 802.11 MAC protocol Reverse TrustedFlow for securing mobile users TrustedFlow for Grid computing TrustedFlow for Internet voting software TrustedFlow for TCP (transport control protocol) Design of the “hiding” function of the tag generator Design of the “interlocking” function of the tag generator TrustedFlow for SLA (service level agreement)
23
Prof. Yoram Ofek - DIT - University of Trento, Italy 23 Wireless Wi-Fi 802.11 Optical Backbone Security Revenue Generating Services Mismatch: Bandwidth / Availability / Reliability Secure Data and Content Flows B-GLOW High Fidelity Data Flows Over Wireless & Optical Backbone Research Area 3 Research Area 3 B-GLOW Overview Ubiquitous Computing, Storage, Position & Time
24
Prof. Yoram Ofek - DIT - University of Trento, Italy 24 Predictable High Quality Content Delivery via IP-based Wireless: IEEE 802.11 – Wi-Fi Optical Backbone Interfaces: GE/10GE/IP-MPLS/SDH/ … Scalable and adaptable Audio/Video Content Desired by Mobile Users Mobile Users with Handheld Devices Who Desired to Receive (and Pay for) Quality Content Research Area 3 B-GLOW Overview
25
Prof. Yoram Ofek - DIT - University of Trento, Italy 25 Predictable Payments for quality content protected that can be protected by DRM With scalable flat rate/mini/micro payments With multilingual user interfaces Predictable delivery of scalable content To provide scalable audio and video content with coding and representation with run-time SLA protocol and interfaces with UMTS To provide capacity to user to satisfy their need for content while minimizing infrastructure cost Optimized access point location with/without directional Antenna Efficient and timely packet flow and monitoring End-to-end Measurements with Feedback to Apps and Users Packet Transmission/Scheduling Protocol for Overcoming Optical/Wireless Bandwidth Mismatch Objective n. 4 Objective n. 3 Objective n. 2 Objective n. 1 IP-FLOW FOCUS Research Area 3 B-GLOW Overview
26
Prof. Yoram Ofek - DIT - University of Trento, Italy 26 USB 802.11 with External Antenna Omni/Directional 802.11 Access Point with/out SDMA USB 802.11 with External Antenna Omni/Directional Multimedia Server Streaming Media to Mobile Users Mobile Device PC/PDA/Phone Mobile Device PC/PDA/Phone Experimental Study: - “Hot-spot” and open-space - Utilizing both: - Network/protocol analyzer - RF spectrum analyzer Research Area 3 Focus on Wi-Fi Physical/Network Layer
27
Prof. Yoram Ofek - DIT - University of Trento, Italy 27 Antenna Gain: G(db) = 10 log 10 (g max ) = 10 log 10 [4* π *A / Lambda 2 ] g max 4*(3.14)*{(L1*L2)/(Lambda 2 )} [Lambda = speed-of-light/Frequency] [A=L1*L2 is the rectangular area of antenna aperture in cm 2 ] L1 L2 5GHz 6 cm 60 12 cm 30 G(db) 14 5GHz 6 cm 60 24 cm 15 G(db) 17 5GHz 6cm 60 48 cm 7.5 G(db) 20 5GHz 6 cm 60 G(db) 11 L2 Research Area 3 Focus on Directional Antennas 2 cm 60 4 cm 30 8 cm 15 16cm 7.5 2 cm 60 15GHz L1 L2 802.16 Smaller Directional Antennas But higher loss 802.11
28
Prof. Yoram Ofek - DIT - University of Trento, Italy 28 Research Area 3 Challenge Small angle-high gain continuously changing best receiving direction, due to: 1. environment factors 2. motion - mobility 3. interference (unlicensed band) Possible solution: multiple sectors Antenna Sector 4 Antenna Sector 5 Antenna Sector 6 Antenna Sector 3 Antenna Sector 2 Antenna Sector 1Each Antenna Sector is Flat Panel with Multiple “Patches”
29
Prof. Yoram Ofek - DIT - University of Trento, Italy 29 Antenna Sector 1 Antenna Control Software USB 802.11 Access Control Adapter USB 802.11 Access Control Adapter Antenna Sector 6 USB HUB USB Connection Mobile Device Research Area 3 1st Experimental Prototype Only software
30
Prof. Yoram Ofek - DIT - University of Trento, Italy 30 Antenna Sector 1 Antenna Control Software USB 802.11 Access Control Adapter Antenna Sector 6 Mobile Device RF Switch USB Connection Research Area 3 2 nd Experimental Prototype with RF Switch
31
Prof. Yoram Ofek - DIT - University of Trento, Italy 31 Ph.D. Thesis Opportunities in Research Area 3 In-depth experimentation and measurement of content delivery capacity in “hot-spot” as function of the number of active mobile user – using high-end spectrum and network analyzers Studying the inter-relationship between directional antenna and access point placement both analytically and experimentally Design and analysis of the potential benefits of directional antennas for mobile users Studying and analysing how to provide scalable and adaptive audio and video content with necessary coding and representation, including a run-time and adaptive service level agreement protocol for matching capabilities for (paid) quality content delivery to mobile devices Studying and analysing how to provide scalable content with protection using DRM (digital right management) with capability for differentiated payments and micro-payments, that are dependent on the quality of content delivered and on prior classification of users
32
Prof. Yoram Ofek - DIT - University of Trento, Italy 32 Wireless Wi-Fi 802.11 Optical Backbone Security Services Mismatch: Bandwidth / Availability / Reliability Secure Data and Content Flows B-GLOW High Fidelity Data Flows Over Wireless & Optical Backbone Research Area 3 TrustedFlow Authentication of Data Flows Research Area 2 Research Area 1 Time-based Pipeline Forwarding of Data IP-FLOW Summary Ubiquitous Computing, Storage, Position & Time
33
Prof. Yoram Ofek - DIT - University of Trento, Italy 33 IP-FLOW Overview Milestones 1 ST YEAR2 ND YEAR3 RD YEAR Research Area 1 PCB electronic/heat dissipation design Success Implementation and testing Success Integration and demonstration switch and interfaces Research Area 2 Implementation of TrustedFlow protocol Success Integration for trusted content delivery Success Integration and demonstration with trusted computing Research Area 3 Understanding mobile w/directional antenna Success Evaluating content delivery quality Success Integration and demonstration with micro-payment / DRM
34
Prof. Yoram Ofek - DIT - University of Trento, Italy 34 IP-FLOW Overview PROJECT GANTT
35
Prof. Yoram Ofek - DIT - University of Trento, Italy 35 IP-FLOW Overview Lecture series: Three graduate courses Course 1: Satisfying QoS Requirements over a Single Networks Course 2: Optical Networking Course 3: The Inter-relationship of QoS, Mobility and Security Seminar Series to Broad Audience Seminar 1: User’s satisfaction and flow of packet over the Internet Seminar 2: The use of time in future packet networks Seminar 3: Trusted computing and run-time authentication of protocols Seminar 4: Moore’s Law and the evolution of optical networking Seminar 5: The inter-relationship of QoS, mobility and security
36
Prof. Yoram Ofek - DIT - University of Trento, Italy 36 IP-FLOW Overview teaching, training, dissemination and Workshops 1 ST YEAR2 ND YEAR3 RD YEAR Graduate coursesCourse 1 / Course 2Course 3 / Course 2Course 1 / Course 3 Dissémination:Seminars: 1, 2, 3Seminars: 3, 4, 5Seminars: 1, 2, 3, 4, 5 Dissemination: Short tutorials Based on: Course 1 / Course 2 Based on: Course 3 / Course 2 Based on: Course 1 / Course 3 Workshops organized by the Chair holder on: Streaming media over optical and wireless - 5/1/06 Trusted computing and content protection - 11/1/06 Possible technology transfers: -Directional antennas for mobile users -TrustedFlow applications -Pipeline forwarding Switch
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.