cisco sitewide tools - cont

8/8/2019 Cisco Sitewide Tools - Cont

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Self-Organizing AdaptiveNetworks

Hari Balakrishnan

MIT Laboratory for Computer Science

http://inat.lcs.mit.edu/[email protected]


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Some Trends

Heterogeneous data types Multimedia, telepresence, games

Wireless and mobility Lots of new technologies

Embedded computers, devices,

sensors Networks everywhere, network

everything!


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Imagine...

Servers

Services inour environment

E21


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Challenges

Heterogeneity Devices, hand-helds, mobiles, sensors

Wireless & wired links

Variety of applications, data and services

Dynamism and spontaneous operation Need rapid deployment and organization

Highly decentralized & fault-tolerant Must make management easy!

Need self-organization and adaptation


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Current View of Networks

Routers

DNS

Hostname

Address

Mostly static topology

& services Applications cannot

learn about network

High management cost

Failures happen!

Servers

Clients


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Towards the Future

Providers

Efficiently configure topology & match providers with consumers

Learn and adapt well to heterogeneity and network conditions

Handheld

Sensors

People

Coffee

Consumers

Servers

Entertainment


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[building = ne-43[room = *]]

[entity = thermometer][temperature < 620C]

data

[state = ma[city = cambridge][region = kendall]]]

[service = caf][distance < 0.25 miles]

data

Intentional Naming System

Names are query expressions Attribute-value matches

Range queries

Wildcard matches

Names express desired properties; they are intentional

[building = ne-43[room = 504]]

[entity = camera

[resolution=800x600]][access = public]

[status = ready]

Names are descriptive Providers announce names


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Naming Architecture

[building = ne-43[room = 510]]

[entity = camera]

Intentional name

INR

INR

INR

Intentional Name Resolvers

form a distributed overlay

Integrate resolution and message routing

image

Lookup

camera510.lcs.mit.edu


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Details

Separate into inter-domain and intra-domain components

Architect intentional names aroundvirtual spaces

Robust name resolution & routing

based on soft state Dynamic views to track dynamic data

attributes


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Benefits

Mobility (of people and services)

Service location and resource

discovery Group communication

Server replication & data caching

Device networking Take efforts like JiniTM and Universal

Plug & PlayTM to the next level


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Adaptation

Overload causes congestion; wireless linksoften degrade performance

Solution: new approaches to congestionmanagement and wireless protocols

In-Building

Campus-Area

Packet Radio

Metro-Area

Regional-Area+

Asymmetry

Networkheterogeneity

Application heterogeneity


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Security and Privacy

Moving from a packet-centricabstraction to a service-, device-, andpeople-centric one

Domains define trust regions But all name resolvers cannot be trusted

Location information may need to be private

Data has to be secure (easier)

Challenge: privacy without compromisingperformance or function


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Research Areas

Intentional Naming System

End-to-end adaptation framework

Congestion Manager RadioActive networks

Better than best-effort networks

Security and privacy protocols Lots of new applications


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Applications

WIND: Wireless Networks of Devices

Ad hoc collaborative environments

Adaptive sensor applications

Self-configuring network topologies

Adaptive applications (e.g., audio, video,telepresence)

Service location & resource discovery Dynamic replica placement and selection

Home network architectures


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Self-organization middleware and adaptation protocolsare key to making this a reality

The Future: Networks That Learn

Better application and user controlover networks

Dynamism, mobility, spontaneity,robustness and adaptation

Integration with the real world

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