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Dive into the world of wireless networking! Explore acronyms like 802.11, DVMRP, CBT, and WFQ. Learn about multicast, packet scheduling, and more in this comprehensive course. Get ready for the final with a review of wireless protocols and reasoning exercises. Discover the fascinating world of multicast communication and its implementation at various network layers. Join the lecture for a deep dive into IP multicast routing and protocol design. Don't miss this opportunity to expand your networking knowledge!
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Networking Acronym Smorgasbord: 802.11, DVMRP, CBT, WFQ EE122 Fall 2011 Scott Shenker http://inst.eecs.berkeley.edu/~ee122/ Materials with thanks to Jennifer Rexford, Ion Stoica, Vern Paxsonand other colleagues at Princeton and UC Berkeley
Announcements • Congratulations: You all got 100% on HW4 • Worksheet will provide practice • This is last week of sections • See posting about additional office hours next week • Next week will have office hours during class times • Will work through problems on work sheet • Be there or be square…. • Wednesday’s Review: will figure something out….
Today’s Lecture: Dim Sum of Design • Wireless review • Multicast • Packet Scheduling • Peer-to-peer
History • MACA proposal: basis for RTS/CTS in lecture • Contention is at receiver, but CS detects sender! • Replace carrier sense with RTS/CTS • MACAW paper: extended and altered approach • Implications of data ACKing • Introducing DS in exchange: RTS-CTS-DS-Data-ACK • Shut up when hear DS or CTS • Other clever but unused extensions for fairness, etc. • 802.11: uses carrier sense and RTS/CTS • RTS/CTS often turned off, just use carrier sense • When RTS/CTS turned on, shut up when hear either • RTS/CTS augments carrier sense
What Will Be on the Final? • General awareness of wireless (lecture) • Reasoning about a given protocol • If we used the following algorithm, what would happen? • You are not expected to know which algorithm to use; we will tell you explicitly.
Motivating Example: Internet Radio • Internet concert • More than 100,000 simultaneous online listeners • Could we do this with parallel unicast streams? • Bandwidth usage • If each stream was 1Mbps, concert requires > 100Gbps • Coordination • Hard to keep track of each listener as they come and go • Multicast addresses both problems….
Backbone ISP Unicast approach does not scale… Broadcast Center
Backbone ISP Instead build data replication trees • Copy data at routers • At most one copy of a data packet per link Broadcast Center • LANs implement link layer multicast by broadcasting • Routers keep track of groups in real-time • Routers compute trees and forward packets along them
R1 joins G [G, data] [G, data] [G, data] R0 joins G [G, data] Rn joins G Multicast Service Model • Receivers join multicast group identified by a multicast address G • Sender(s) send data to address G • Network routes data to each of the receivers • Note: multicast is both a delivery and a rendezvous mechanism • Senders don’t know list of receivers • For many purposes, the latter is more important than the former R0 R1 S Net . . . Rn
Multicast and Layering • Multicast can be implemented at different layers • link layer • e.g. Ethernet multicast • network layer • e.g. IP multicast • application layer • e.g. End system multicast • Each layer has advantages and disadvantages • Link: easy to implement, limited scope • IP: global scope, efficient, but hard to deploy • Application: less efficient, easier to deploy [not covered]
Multicast Implementation Issues • How is join implemented? • How is send implemented? • How much state is kept and who keeps it?
Link Layer Multicast • Join group at multicast address G • NIC normally only listens for packets sent to unicast address A and broadcast address B • After being instructed to join group G, NIC also listens for packets sent to multicast address G • Send to group G • Packet is flooded on all LAN segments, like broadcast • Scalability: • State: Only host NICs keep state about who has joined • Bandwidth: Requires broadcast on all LAN segments • Limitation: just over single LAN
Network Layer (IP) Multicast • Performs inter-network multicast routing • Relies on link layer multicast for intra-network routing • Portion of IP address space reserved for multicast • 228 addresses for entire Internet • Open group membership • Anyone can join (sends IGMP message) • Internet Group Management Protocol • Privacy preserved at application layer (encryption) • Anyone can send to group • Even nonmembers
How Would YOU Design this? • 5 Minutes….
IP Multicast Routing • Intra-domain (know the basics here) • Source Specific Tree: Distance Vector Multicast Routing Protocol (DVRMP) • Shared Tree: Core Based Tree (CBT) • Inter-domain [not covered] • Protocol Independent Multicast • Single Source Multicast
Distance Vector Multicast Routing Protocol • Elegant extension to DV routing • Using reverse paths! • Use shortest path DV routes to determine if link is on the source-rooted spanning tree • See whiteboard….. • Three steps in developing DVRMP • Reverse Path Flooding • Reverse Path Broadcasting • Truncated Reverse Path Broadcasting (pruning)
r Reverse Path Flooding (RPF) If incoming link is shortest path to source • Send on all links except incoming • Otherwise, drop Issues: (fixed with RPB) • Some links (LANs) may receive multiple copies • Every link receives each multicast packet s:3 s:2 s:3 s:1 s:2 s
Other Problems • Flooding can cause a given packet to be sent multiple times over the same link • Solution: Reverse Path Broadcasting S x y a duplicate packet z b
forward only to child link Reverse Path Broadcasting (RPB) • Choose single parent for each link along reverse shortest path to source • Only parent forwards to child link • Identifying parent links • Distance • Lower address as tie-breaker S Parent of z on reverse path 5 6 x y a child link of x for S z b
Even after fixing this, not done • This is still a broadcast algorithm – the traffic goes everywhere • Need to “Prune” the tree when there are subtrees with no group members • Networks know they have members based on IGMP messages • Add the notion of “leaf” nodes in tree • They start the pruning process
Pruning Details • Prune (Source,Group) at leaf if no members • Send Non-Membership Report (NMR) up tree • If all children of router R send NMR, prune (S,G) • Propagate prune for (S,G) to parent R • On timeout: • Prune dropped • Flow is reinstated • Down stream routers re-prune • Note: a soft-state approach
Distance Vector Multicast Scaling • State requirements: • O(Sources Groups) active state • How to get better scaling? • Hierarchical Multicast • Core-based Trees
Core-Based Trees (CBT) • Pick “rendevouz point” for the group (called core) • Build tree from all members to that core • Shared tree • More scalable: • Reduces routing table state from O(S x G) to O(G)
Use Shared Tree for Delivery • Group members: M1, M2, M3 • M1 sends data root M1 M2 M3 control (join) messages data
Barriers to Multicast • Hard to change IP • Multicast means changes to IP • Details of multicast were very hard to get right • Not always consistent with ISP economic model • Charging done at edge, but single packet from edge can explode into millions of packets within network
Scheduling • Decide when and what packet to send on output link • Classifier partitions incoming traffic into flows • In some designs, each flow has their own FIFO queue flow 1 Classifier flow 2 Scheduler 1 2 flow n Buffer management
Packet Scheduling: FIFO • What if scheduler uses one first-in first-out queue? • Simple to implement • But everyone gets the same service • Example: two kinds of traffic • Video conferencing needs low bandwidth and low delay • E.g., 1 Mbps and 100 msec delay • E-mail not sensitive to delay, but need bandwidth • Cannot admit much e-mail traffic • Since it will interfere with the video conference traffic
Packet Scheduling: Strict Priority • Strict priority • Multiple levels of priority • Always transmit high-priority traffic, when present • .. and force the lower priority traffic to wait • Isolation for the high-priority traffic • Almost like it has a dedicated link • Except for the (small) delay for packet transmission • High-priority packet arrives during transmission of low-priority • Router completes sending the low-priority traffic first
50% red, 25% blue, 25% green Scheduling: Weighted Fairness • Limitations of strict priority • Lower priority queues may starve for long periods • … even if the high-priority traffic can afford to wait • Traffic still competes inside each priority queue • Weighted fair scheduling • Assign each queue a fraction of the link bandwidth • Rotate across the queues on a small time scale • Send extra traffic from one queue if others are idle
Max-Min Fairness • Given a set of bandwidth demands riand a total bandwidth C, the max-min bandwidth allocations are: ai= min(f, ri) • where f is the unique value such that Sum(ai) = C • Property: • If you don’t get full demand, no one gets more than you
Computing Max-Min Fairness • Denote • C – link capacity • N – number of flows • ri – arrival rate • Max-min fair rate computation: • compute C/N (= the remaining fair share) • if there are flows i such that ri ≤ C/Nthen update C and Nandgo to 1 • ifnot, f = C/N; terminate
f = 4: min(8, 4) = 4 min(6, 4) = 4 min(2, 4) = 2 8 10 4 6 4 2 2 Example • C = 10; r1 = 8, r2 = 6, r3 = 2; N = 3 • C/3 = 3.33 • Can service all of r3 • Remove r3 from the accounting: C = C – r3 = 8; N = 2 • C/2 = 4 • Can’t service all of r1 or r2 • So hold them to the remaining fair share: f = 4
Fair Queuing (FQ) • Conceptually, computes when each bit in the queue should be transmitted to attain max-min fairness (a “fluid flow system” approach) • Then serve packets in the order of the transmission time of their last bits • Allocates bandwidth in a max-min fairly
Example Flow 1 (arrival traffic) 1 2 3 4 5 6 time Flow 2 (arrival traffic) 1 2 3 4 5 time Service in fluid flow system 1 2 3 4 5 6 1 2 3 4 5 time Packet system 1 2 1 3 2 3 4 4 5 5 6 time
Fair Queuing (FQ) • Provides isolation: • Misbehaving flow can’t impair others • Could change congestion control paradigm • But not used…. • Doesn’t “solve” congestion by itself: • Still need to deal with individual queues filling up • Generalized to WeightedFairQueuing (WFQ) • Can give preferences to classes of flows • Used for quality of service (QoS) • Allocations to aggregates