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The EPC System: Ubiquitous Automatic Identification Sanjay Sarma, MIT

The EPC System: Ubiquitous Automatic Identification Sanjay Sarma, MIT

The EPC System: Ubiquitous Automatic Identification Sanjay Sarma, MIT. goals of this talk. RFID introduction Auto-ID Center strategy Research here and away. outline. RFID and the Auto-ID Center A peek at some research issues. Part I Outline. What and why of RFID The cost issue

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880 views • 70 slides
Characterizing the Internet Hierarchy from Multiple Vantage Points

Characterizing the Internet Hierarchy from Multiple Vantage Points

Characterizing the Internet Hierarchy from Multiple Vantage Points. Jennifer Rexford Internet and Networking Systems AT&T Labs - Research; Florham Park, NJ http://www.research.att.com/~jrex.

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418 views • 33 slides
Analysis of BGP Behavior through Beacon Prefixes

Analysis of BGP Behavior through Beacon Prefixes

Analysis of BGP Behavior through Beacon Prefixes. By, Matt Guidry Yashas Shankar.

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436 views • 30 slides
CS 145A Case Study: Simplified BGP Finite State Machine

CS 145A Case Study: Simplified BGP Finite State Machine

CS 145A Case Study: Simplified BGP Finite State Machine Netlab.caltech.edu/course Today Brief Introduction of routing protocols An example of Finite State Machine Lab 3 What does the Internet look like? Example: (/sbin/traceroute) C:>tracert cwis.usc.edu

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767 views • 28 slides
Sidewinder A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks

Sidewinder A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks

Sidewinder A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks. Matt Keally 1 , Gang Zhou 1 , Guoliang Xing 2 1 College of William and Mary, 2 Michigan State University. Overview. Motivation Contributions Related Work Design Evaluation Conclusion.

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389 views • 27 slides
D-TAXI service review 78/214 Maastricht, June 9, 2009 Christian Bousmanne

D-TAXI service review 78/214 Maastricht, June 9, 2009 Christian Bousmanne

D-TAXI service review 78/214 Maastricht, June 9, 2009 Christian Bousmanne. DUG planning. SUMMER 2009. Core of the D-TAXI OSED Operating method tables & diagrams Ors. Message set. Graphic chapter. END 2009. END 2009. Map reqts. example.

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363 views • 21 slides
Internetworking connectionless and connection-oriented networks

Internetworking connectionless and connection-oriented networks

Internetworking connectionless and connection-oriented networks. Malathi Veeraraghavan Mark Karol Polytechnic University Bell Labs. mv@poly.edu mk@lucent.com Outline: Why internetwork? Prior work Our proposal. Connectionless (CL) Network. CL Network. Connection-Oriented (CO)

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356 views • 18 slides
Measurement: Techniques, Strategies, and Pitfalls

Measurement: Techniques, Strategies, and Pitfalls

Measurement: Techniques, Strategies, and Pitfalls. Nick Feamster CS 7260 February 7, 2007. Internet Measurement. Process of collecting data that measure certain phenomena about the network Should be a science Today: closer to an art form Key goal: Reproducibility

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266 views • 17 slides
Coarse-Grained Traffic Analysis in ISP Networks

Coarse-Grained Traffic Analysis in ISP Networks

Coarse-Grained Traffic Analysis in ISP Networks. A Router-Based Approach Christian Martin Verizon. Traditional ISP Traffic Analysis. Resource Utilization CPU, port utilization, memory Traffic Characterization Flow information (src prt, dst if, src addr, etc)

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226 views • 12 slides
High Rate Data Delivery Program September 2002

High Rate Data Delivery Program September 2002

High Rate Data Delivery Program September 2002. Intelligent and Agile Protocols and Architectures for Space and Terrestrial Networks. Funda Ergun Behnam Malakooti Case Western Reserve University NAG3-2578. Objective.

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188 views • 10 slides
Intelligent Quality of Service Routing for Terrestrial and Space Networks

Intelligent Quality of Service Routing for Terrestrial and Space Networks

Intelligent Quality of Service Routing for Terrestrial and Space Networks. Funda Ergun Case Western Reserve University. Our Goal.

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192 views • 10 slides
Major Modules

Major Modules

Major Modules. Cloud. Personal Data. Phone Interfaces. Routing Data. Rider/Driver. Browser Interface. Ride Offer. Start time:. Date:. Return start time:*. (now). (today). Start place:. (here). Ask per trip: $. End place:. Specify Route. Daily. Repeat*. MTWTF. Weekly.

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158 views • 6 slides

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