'Route packets' presentation slideshows

TRILL Tutorial Transparent Interconnection of Lots of Links

TRILL Tutorial Transparent Interconnection of Lots of Links. Donald E. Eastlake 3 rd Co-Chair, TRILL Working Group Principal Engineer, Huawei d3e3e3@gmail.com. Donald E. Eastlake, 3 rd Principal Engineer at Huawei Technologies

1.23k views • 99 slides

IP MULTICAST ROUTING

IP MULTICAST ROUTING. Radhika Rengaswamy. OUTLINE. What is Multicasting? IP Multicast Addressing IGMP Multicast Forwarding Algorithms Simple, Source-Based Tree, Shared-Tree Multicast Routing Protocols Dense-mode (DVMRP, MOSPF, PIM - DM) Sparse-mode (PIM - SM, CBT). Multicast Forwarding.

1.18k views • 70 slides

Introduction Types of network Network principles Internet protocols Network case studies:

Chapter 3: Networking and Internetworking. Introduction Types of network Network principles Internet protocols Network case studies: Ethernet, wireless LAN and ATM Summary. Network performance measures l = length of signal path in communication medium (metres)

1.05k views • 54 slides

Chapter 5: Network Layer

Chapter 5: Network Layer. CS455/555: Spring 2003. Network Layer: Design Issues. Services provided to the Transport Layer: Connection-oriented vs Connectionless service Underlying network: Internet (connectionless) and ATM ( Connection-oriented) Virtual circuits vs. datagrams.

1.09k views • 37 slides

Network Security: Anonymity

521 views • 32 slides

Routing Metrics for Wireless Mesh Networks

Routing Metrics for Wireless Mesh Networks. CSE 6590 Fall 2010. Wireless Mesh Networks. Mostly static nodes Limited bandwidth Ample energy supply Possibly multi-radio/multi-channel/multi-rate. New Routing Metrics for WMNs. Motivation Limited bandwidth require efficient routing Goals

467 views • 26 slides

IST 201

659 views • 25 slides

A Programmable Adaptive Router for a GALS Parallel System

A Programmable Adaptive Router for a GALS Parallel System. Jian Wu APT Group University of Manchester May 2009. SpiNNaker System for Neural Simulation. Node = SpiNNaker CMP + large off-chip memory. Massively-Parallel (1 million ARMs) Massive neural net simulations

254 views • 16 slides