designing future networking systems shaping future telecom operators. a project course by the...
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Designing Future Networking SystemsShaping Future Telecom Operators.a project course by the members of detusche telekom laboratories
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Designing Future Networking Systems.
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Designing Future Networking Systems.
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Designing Future Networking Systems.A Project Course by the Members of Deutsche Telekom Laboratories.
•Clean Slate Internet Design•What are the current problems in internet architecture?
What are the proposed solutions?•What is the vision for future networking systems?
Much more than Internet 2.0! Ubiquidous high-speed wireless access Secure host identification / Secure anonymization Robust routing and transport delivery Session management that works!
•Help us design the future
•Topics Application Layer
– Service Placement Transport Layer
– Host Identification Protocol (HIP)– Adaptive Queue Management (AQM)– Cross-layer TCP for wireless links– Heterogenous Access Networks
Routing Layer– Probabilistic Routing– Open Routers
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Designing Future Networking Systems.Course Administration.
•Course website https://www.dai-labor.de/index.php?id=580
•Course administrator Martin Roth [email protected]
•12 weeks• First 4 weeks introduction of concepts and technologies• Next 7 weeks, project specific lectures, milestone meetings• Last 1 week, final project presentation, demonstrations• Final reports thereafter•One report per project
about 10 pages Technology review, implementation details, experience in English! Talk to us...
– Templates available•Course Evaluation
70% Project 20% Presentations 10% Report
Application Layer.
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Service deployment platformsby Evangelos Kotsovinos
•Service deployment platforms allow users to obtain resources on machines they do not directly own or control (e.g. Grids, PlanetLab, Utility Computing)•XenoServers are servers able to safely host and execute services provided by third parties (service providers) in exchange for money•Services can be deployed on demand, acquiring computing resources dynamically•Services may migrate on demand, based on changes e.g. in network conditions, geography of client demand, or pricing•IBM, Sun, HP, Deutsche Telekom, Amazon.com sell or aim to sell similar facility
•Objectives Learning more about deployment technologies Comparing the different deployment approaches Discussing application scenarios for which each type of approach is more appropriate
Network Design
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xCAT (Cross Capacity Analysis Tool).How can we prepare for 4G systems?
Objective – To study the challenges in the network planning of future
communication systems (i.e. 4G networks) Cross system engineering
– The set of rules that define the cooperation and competition among the different access networks within a 4G system
Tasks: To extend the current simulation tool and develop different optimisation algorithms
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xCAT (Cross Capacity Analysis Tool).How can we prepare for 4G systems?
Relevance– Future integrated operators will require rules to coordinate
interactions among the different networks– These interaction rules are strongly related to the business
models – These rules are an important element for self-optimised systems– Self-optimised systems reduce network management and
deployment costs for Deutsche Telekom
Transport Layer.
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TCP-FAT (Fast Adaptation Time).Impact of Mobility on the transport layer.
Objectives – To analyse the impact of vertical handovers on TCP connections– To characterise the effects (adaptation delay component, Ta)– To design techniques that reduce these effects– To evaluate our proposal
Tasks– Experimental setup– Collect traces– Adapting existing scripts– Working on a new definition for Ta– Analysing the traces
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TCP-FAT (Fast Adaptation Time).Impact of Mobility on the transport layer.
Relevance– TCP traffic represents 40--60% of the traffic in the
Internet– We need to support real-time services on the move– We need to minimise delays (latency) everywhere– A cross-layer solution that tackles mobility at different
layers is needed to enable seamless networking – Reducing handover latency (network layer) is not
enough– Reducing adaptation delay in vertical environments is
fundamental for future mobile scenarios
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Efficient Scheduling across air-interfaces
Multiple Interfaces: allows advantages of technology diversity.
– WLAN : high bandwidth (but low mobility)
– Cellular: intermediate mobility support (but low bandwidth)
Simple bandwidth sharing can lead to low throughput and waste network resources
Wireless Access via WiFi, cellular satellite solutions
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An Integrated Approach for TCP Throughput Optimization
Model TCP’s congestion control dynamics and overlay an optimization framework
Using Dynamic Programming (DP) principles, evaluate optimal throughput for a bulk transfer TCP flow
Investigate Link/PHY layer adaptation for throughput optimization, via Power control: crucial and usually indispensable for wireless networks Link Adaptation: Proven merits (e.g. WLANs, 802.11n, 802.16 proposals, EGPRS)
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Resiliency Measures for a Tree-based Overlay Structure
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SOUND-NET.Unveiling User’s Perception of Future Communications.
Objectives– To asses user experience in future 4G networks– To design mobility tests (targeting VoIP)– To evaluate the scenarios– To extend the e-model for
Handover, technology switching, NB WB, etc– Extract the appropriate planning information
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SOUND-NET.Unveiling User’s Perception of Future Communications.
Relevance– Seamless mobility does not mean zero-disruptions– Always-best-connected needs to be evaluated– We need to know how the user may perceive seamless services– We need to know users’ perspective in order to design future
servicesand supporting resources
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Host Identification Protocol (HIP).Supporting secure mobility
BackgroundHost Identification Protocol (http://www.ietf.org/html.charters/hip-charter.html), is considered to be the next big thing in the Mobile Internet landscape as it combines mobility management elegantly with security, in particular, authentication and encryption. It provides methods of separating the end-point identifier and locator roles of IP addresses, as well as introduces a new name space, Host Identity, based on the public keys system. Project outlineIn this project, the aim is to firstly survey existing publicly available experimental HIP implementations and secondly gain unique hands-on experiences in setting up HIP in heterogeneous networks environments.TasksYou will be given a unique opportunity to setup a test-bed environment capable of switching an incoming music streams between any IP enabled devices using different access technologies.
Routing Layer.
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Wireless, infrastructure-based mesh networks promise
Fast deployment Cheap deployment (compared to fiber) High data rates (scalable)
Various use scenarios Developing countries (China, India): an
infrastructure Well-connected countries (Korea):
ubiquitous accessPossible deployments in Berlin/ Germany
Biergarten, Coffee shops, shopping areas Parks (Tierpark, lakes around Berlin) Neighborhoods (garden, common grounds,
East-Berlin) Ski stations
WiFi mesh
Internet
Wireless Mesh Networks
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Open Source in the Context of Routing Platforms
Why is it of interest? Research community:
– Allow real-world experimentation and evaluation of network protocols – Enable the development of router applications– Facilitate novel designs in network element and protocol stack architecture– Act as a way to avoid Internet ossification – provide a path for adoption and
deployments Operator community:
– Decrease TCO for network equipment– Enhance interoperability among network elements from different equipment
vendors– Avoid network equipment vendor lock-in– Decrease time-to-market for new network services, bug fixes, etc.
The multiple layers of “openness” Open platforms: provide clear and well-defined interfaces (programming
abstractions) for developing and integrating new protocols and system components (e.g. management interfaces, schedulers, forwarding paths, etc.)
Open protocol stacks: expose the internals of network protocols allowing the development of new features, extensions and modifications
– Open device drivers: usually enable modifications and tweaking with the link-layer and medium access layer of the network access technology
Open hardware: make available the details of the reference design and the hardware abstraction layer, allowing arbitrary ways of accessing the underlying hardware
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RouterBoard from Mikrotik.com Fast main board in small-form-factor
– MIPS 32 4Kc based 266MHz– 64/128Mb RAM, 1Mbit for boot-
loader– 3-8 Ethernet 10/100Mbits cards,
PoE– One serial RS232c port
For Magnets II– CompactFlash cards (2Gb max)
for trace collection– MiniPCI bus: 2-6 slots for
MiniPCI devices: Up to 6 cards: WiFi, GSM,
UMTS, Bluetooth, Zigbee, later WiMAX
Open-source Linux platform– Linux 2.4, patch for bootloader
included
Node Hardware
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Probabilistic Routing.by Martin Roth
•Traditional Routing is Deterministic Link-State (Bellman-Ford) Distance Vector (Dijkstra)
•Paths are Brittle Explicit Multipath Routing is
necessary for Robustness•Network (Re)configuration is Expensive
Lots of Control Traffic Overheadis required
•Isn‘t There a Better Way?•Probabilistic Routing!
Generate a probability distributionover every path in the network
Route according to path utility
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Swarm Intelligence.Biologically Inspired.
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Questions?Fragen?
Martin Roth [email protected] Vidales [email protected]
Jatinder Pal Singh [email protected]
StudentsSebastian [email protected]
Host Identity Protocol (HIP)
Robert Hsieh 26th April 2006
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Background of the origin of HIP
IP Address serve the duel role of being End Point Identifiers
– Names of network interfaces on hosts Locators
– Names of naming topological locations
This duality makes thing very hard!! IRTF Name Space Research Group debates for years without reaching consensus
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HIP in a Nutshell
Integrates security, mobility and multi-homing Opportunistic host-to-host IPSec ESP End-host mobility across IPv4 and IPv6 End-host multi-address multi-homing across
IPv4 and IPv6 IPv4 and IPv6 interoperability for apps
A new layer between IP and Transport layers Introduces Cryptographic Host Identifiers
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The HIP Project
Survey existing publicly available HIP implementations
Install and test the various HIP implementations for comparison
Select one HIP implementation and design various demonstration scenarios to showcase its capability and possible drawbacks