Presentation is loading. Please wait.

Presentation is loading. Please wait.

ECE544: Communication Networks-II, Spring 2018

Similar presentations


Presentation on theme: "ECE544: Communication Networks-II, Spring 2018"— Presentation transcript:

1 ECE544: Communication Networks-II, Spring 2018
D. Raychaudhuri Lecture 8 (QoS) Includes teaching materials from D. Raychaudhuri, L. Peterson

2 Today’s Lecture Congestion control in best effort networks
Basic principles & mechanisms FQ, WFQ, congestion feedback, TCP, RED Quality-of-service (QoS) Mechanisms (traffic shaping, admission control, reservation, priority queuing) RSVP Intserv and Diffserv, RIO Comparison to ATM (CBR, VBR; ABR)

3 Congestion Control & QoS in Packet Networks
Congestion control – reactive methods used in best effort networks Packet scheduling at network nodes Feedback congestion control End-to-end Hop-by-hop QoS control – proactive methods used for premium or guaranteed services: Source traffic shaping & policing at entry points Priority queuing and packet drop at routers End-to-end reservation and admission control

4 Network Congestion All networks have saturating throughput
Reduction in performance beyond max capacity Need to keep input load below G0 Also must avoid unstable equilibrium point in overload region Unstable network load Capacity Limit Smax Overload region Traffic margin Thru Congestion control policies Normal operating Point (G0) Stable network load lines with congestion control Offered Traffic (G)

5 Queue Scheduling A queue scheduler employs 2 strategies:
Scheduling discipline: Which packet to serve (transmit) next Drop policy: Which packet to drop next (when required)

6 FIFO Queuing FIFO:first-in-first-out (or FCFS: first-come-first-serve)
Arriving packets get dropped when queue is full regardless of flow or importance - implies drop-tail Important distinction: FIFO: scheduling discipline Drop-tail: drop policy

7 Fair Queuing Main idea:
maintain a separate queue for each flow currently flowing through router router services queues in Round-Robin fashion

8 FQ illustration Flow 1 Flow 2 I/P O/P Flow n
Variation: Weighted Fair Queuing (WFQ)

9 Some Complications Packets are of different length
We really need bit-by-bit round-robin (RR) FQ simulates bit-by-bit RR Not feasible to interleave bits!

10 Bit-by-bit RR Single flow: suppose clock ticks when a bit is transmitted. For packet i: Pi: length, Ai = arrival time, Si: begin transmit time, Fi: finish transmit time. Fi = Si+Pi Fi = max (Fi-1, Ai) + Pi Multiple flows: clock ticks when a bit from all active flows is transmitted, that is, the clock advances by one tick when n bits are transmitted (assuming n flows) calculate Fi for each packet transmit packet with earliest Fi RR is only simulated, packet in transmission is not interrupted. If n flows have data to transmit, each gets 1/nth bandwidth.

11 Bit-by-bit RR Fi = max (Fi-1, Ai) + Pi
Start with A(*,*)=0 (all pkts arrive at T=0) P(1,1) = 2 P(1,2) = 1 P(1,3) = 1 F(1,1) = 1 F(1,2) = 1.5 F(1,3) = 2 P(2,1) = 3 P(2,2) = 2 F(2,1) = 1.5 F(2,2) = 2.5 Flow 1 Flow 2 Pkt 2-2=2 units Pkt 1-3= 1 unit Fi = max (Fi-1, Ai) + Pi Pkt 1-2= 1 unit Pkt 2-1=3 units Pkt 1-1=2 units Channel clock - 1-1 2-1 1-2 1-3 2-2

12 Weighted Fair Queuing (WFQ)
Weighted Fair Queuing (WFQ): assign a weight to each flow Assume transmitting wq bits each time the router serves queue q (simulate in packet scheduling) Control the percentage of the link’s bandwidth that a flow will get The bandwidth that flow q gets (n active queues sending data): FQ is a special case of WFQ with a weight of 1 for each queue

13 Congestion Control and Congestion Avoidance
TCP’s “blind” approach: Detect congestion (loss) after it happens and back off on offered rate Increase load trying to maximize utilization until loss occurs Source Rate (bps) Congestion detected (via packet loss) Time-out Alternatively: We can try to predict congestion and reduce rate before packets start being discarded This is called congestion avoidance

14 Congestion Control via Router Feedback
Router has unified view of queuing behavior Routers can distinguish between propagation and persistent queuing delays Routers can decide on transient congestion, based on workload

15 Solving the Full Queues Problem
Router monitors the load Drop (or mark) packets before queue becomes full (early drop) Intuition: notify senders of incipient congestion Simple example: If qlen > drop level, drop (or mark) each new packet with a fixed probability p Does not control misbehaving users

16 Random Early Detection (RED)
Motivation: High bw-delay flows have large queues to accommodate transient congestion TCP detects congestion from loss - after queues have built up and increase delay Aim: Keep throughput high and delay low Accommodate bursts

17 Random Early Detection (RED)
Detect incipient congestion, allow bursts Keep power (throughput/delay) high keep average queue size low assume hosts respond to lost packets Avoid window synchronization randomly mark packets, instead of dropping Avoid bias against bursty traffic Some protection against ill-behaved users

18 RED Algorithm Maintain running average of queue length
If avg < minth do nothing Low queuing, send packets through If avg > maxth, drop all packets Protection from misbehaving sources Else randomly drop (or mark) some packets in a manner proportional to queue length Notify sources of incipient congestion

19 RED Operation If AvgLen <= MinThreshold
Queue the packet If MinThreshold < Avglen < MaxThreshold Calculate probability P Drop the arriving packets with probability P If Avglen >= MaxThreshold Drop the arriving packet AveLen = (1-W) x AveLen + W x SampleLen Max threshold Min threshold Average queue length minthresh maxthresh MaxP 1.0 Avg length P(drop) Count:# of newly arriving packets that have been queued (not dropped) while AvgLen has been between the two thresholds Count increases, P increases Make drop more evenly distributed (Avoid bias against bursty traffic)

20 Explicit Congestion Control
V ersion HLen TOS Length Ident Flags Offset TTL Protocol Checksum SourceAddr DestinationAddr Options (variable) Pad (variable) 4 8 16 19 31 Data Router can signal the congestion by marking packets instead of dropping using RED Set the ECN bit (bit 7 of the IP TOS field) in IP header The destination copies the ECN bit into the ACK sent back to the source The source TCP responds to the ECN bit set in the same way as a packet drop ToS field => now used for DiffServ and ECN Bits 0-5: Differentiated Services Code Point (DSCP) Bit 6: ECN-capable Bit 7: ECN

21 Quality of Service Outline Realtime Applications Integrated Services
Differentiated Services

22 Realtime Applications
Microphone Speaker Sampler , A D converter Buffer D A Require “deliver on time” assurances must come from inside the network Example application (audio) sample voice once every 125us each sample has a playback time packets experience variable delay in network add constant factor to playback time: playback point Use initial buffering delay to compensate jitter, but result in longer end-to-end delay

23 Playback Buffer Packet arrival Packet generation Playback
Sequence number Buffer Network delay T ime

24 Example Distribution of Delays
90% 97% 98% 99% 3 2 Packets (%) 1 50 100 150 200 Delay (milliseconds)

25 Application requirements & Services Classes
Different application requirements Elastic: no restrict delay requirements, traditional data Real-time: delay bound, jitter, loss Loss: intolerant or tolerant to some loss Delay: adaptive (e.g. lengthening/shortening the silence between words, playing back video a little slower, etc) or not adaptive Data rate: adaptive (e.g. reduce video quality by compressing video more) or not adaptive Different application requirements=>different service classes (not only best effort anymore) A network that can provide these different levels of service is said to support QoS Integrated service: fine-grained approach, provide QoS to individual applications or flows Allow individual application flows to specify their needs to the routers using an explicit signaling mechanism (RSVP) Scalability is an issue Differentiated Service: coarse-grained approach, provide QoS to several classes of data or aggregated traffic Assign packets into a small number of classes that receive differentiated treatment in the routers

26 Taxonomy of applications
Real-Time Elastic Loss, delay tolerant Intolerant Interactive Asynchronous adaptive Non-adaptive Rate adaptive Non-adaptive Interactive-bulk Delay adaptive Rate adaptive

27 Components of Integrated Services architecture
Flowspec: information of the flow traffic characteristics and its service Reservations (includes reservation signaling protocol) Admission control based on flow description and current load Scheduling to meet the reservation Traffic shaping at edges to fit reservation Traffic policing to mark or drop non-conforming traffic Some application adaptation

28 Types of guarantees Absolute bound on delay and jitter
Absolute bound on delay only Statistical bound on delay No quantitative delay bound but admission control and preferential treatment None

29 Internet service classes proposed by IETF
Guaranteed service firm bounds on e2e delays and bandwidth Controlled load “a QoS closely approximating the QoS that same flow would receive from an unloaded network element, but uses capacity (admission) control to assure that this service is received even when the network element is overloaded” Use a queuing mechanism such as WFQ to isolate the controlled load traffic from other traffic Admission control to limit the total amount of controlled load traffic Best effort

30 Overview of mechanisms
Flow specification (flowspec) type of service we require Admission control can the network provide the requested service? Resource reservation protocol RSVP Packet scheduling

31 Flowspecs Tspec: describes the flow’s traffic characteristics
Rspec: describes the service requested from the network

32 Traffic Shaping Traffic shaping: control traffic in order to conform to the traffic contract by delaying packets to meet certain criteria. To optimize or guarantee performance (lower latency, higher usable bandwidth) commonly applied at the network edges to control traffic entering the network, but can also be applied by the traffic source or in the network Token bucket tokens are placed in bucket at rate r if bucket fills, tokens are discarded sending a packet of size P uses P tokens if bucket has P tokens, packet sent at max rate, else must wait for tokens to accumulate

33 Traffic Policing Traffic policing: router monitors the flow traffic for conformity with a traffic contract Drop or tag the packets not conforming to the TSpec that used to make the reservation to enforce compliance with that contract Token bucket tokens are placed in bucket at rate r if bucket fills, tokens are discarded When a packet of p bytes arrives, p tokens are removed from the bucket, and the packet is sent to the network. If fewer than p tokens are available, no tokens are removed from the bucket, and the packet is considered to be non-conformant. Drop or mark the non-conformant packets

34 Token bucket filter Described by 2 parameters: Operation:
token rate r: rate of tokens placed in the bucket bucket depth B: capacity of the bucket Operation: tokens are placed in bucket at rate r if bucket fills, tokens are discarded sending a packet of size P uses P tokens if bucket has P tokens, packet sent at max rate, else must wait for tokens to accumulate

35 Token bucket operation
tokens tokens tokens overflow Packet Packet Not enough tokens - wait for tokens to accumulate Enough tokens packet goes through, tokens removed

36 TB characteristics On the long run, rate is limited to r
On the short run, a burst of size B can be sent at peak data rate Amount of traffic entering at interval T is bounded by: traffic = B + r*T Information useful to admission algorithm

37 Token bucket specs Flow A: r = 1 Mbps, B=1 byte BW Flow B
Flow B: r = 1 Mbps, B=1MB 2 1 Flow A 1 2 3 Time

38 Admission control When new flow request arrives, look at Rspec and Tspec and decide whether to admit or reject Can it provide the desired service requested by the flow, given the currently available resources without causing any previously admitted flow to receive worse service that agreed? Not policing

39 Reservation protocol: RSVP
Upper layer protocols and applications IP service interface IP ICMP IGMP RSVP Link layer service interface Link layer modules

40 RSVP Used on connectionless networks
Relies on soft state: reservations must be refreshed and do not have to be explicitly deleted Aims to support multicast as effectively as unicast flows - mcast apps good candidates for real-time, and are heterogeneous Receiver-oriented approach

41 Basic message types PATH message RESV message CONFIRMATION message
generated only upon request unicast to receiver when RESV reaches node with established state TEARDOWN message ERROR message (if path or RESV fails)

42 Making a reservation Receivers make reservation
Before making a reservation, receiver must know: type of traffic sender will send (Tspec) path the sender’s packets will follow Both can be accomplished by sending PATH messages by the sender

43 PATH messages PATH messages carry sender’s Tspec and sent from the sender to the receiver Record the path from the sender to the receiver in the PATH message Receivers send RESV messages that follow reverse path and setup reservations If reservation cannot be made, user gets an error

44 PATH and RESV messages R R R R Sender 1 Sender 2 PATH RESV (merged)
receiver 1 R RESV receiver 2

45 Soft State Allow increasing or decreasing the level of resource reservation Adapt to link or router failure and topology changes Routing protocol makes routing changes, RSVP adjusts reservation state In absence of route or membership changes, periodic PATH and RESV msgs refresh established reservation state When change, new PATH msgs follow new path, new RESV msgs set reservation Non-refreshed state times out automatically

46 Router handling of RESV messages
If new request rejected, send error message If admitted: install packet filter into forwarding dbase pass flow parameters to scheduler activate packet policing if needed forward RESV msg upstream

47 Packet classifying and scheduling
Each arriving packet must be: classified: associated with the application reservation Examining up to five fields in the packet: source + destination address, protocol number, source + destination port scheduled: managed in the queue so that it receives the requested service implementation not specified in the service model

48 RSVP and multicast Reservations from multiple receivers for a single sender are merged together at branching points Reservations for multiple senders may not be added up: audio conference, not many talk at same time Different reservation styles: Reserve resources for all speakers Reserve resources for any n speakers Reserve resources for speakers A and B only

49 RSVP versus ATM (Q.2931) RSVP ATM receiver generates reservation
soft state (refresh/timeout) separate from route establishment QoS can change dynamically receiver heterogeneity ATM sender generates connection request hard state (explicit delete) concurrent with route establishment QoS is static for life of connection uniform QoS to all receivers

50 ATM Service Categories
CBR Constant Bit Rate Continuous flow of data with tight bounds on delay and delay variation rt-VBR Real-Time Variable Bit Rate Variable bandwidth with tight bounds on delay and delay variation nrt-VBR Non-Real-Time Variable Bit Rate Variable bandwidth with tight bound on cell loss UBR Unspecified Bit Rate No guarantees (i.e., best effort delivery) ABR Available Bit Rate Flow control on source with tight bound on cell loss

51 Differentiated Services (DiffServ)
Analogy: airline service, first class, coach, various restrictions on coach as a function of payment Best-effort expected to make up bulk of traffic, but revenue from “premium” service important to economic base (will pay for more plentiful bandwidth overall) Not motivated by real-time, motivated by economics and assurances

52 Differentiated Services (cont)
Divide traffic into a small number of classes and allocates resource on a per-class basis, instead of individual flows Scalable No need for reservations: just mark packets E.g. packet marking can be done at administrative boundaries before injecting packets into network Significant savings in signaling, much simpler overall

53 IP DiffServ IP packets carry 6-bit service code points (DSCP)
ersion HLen TOS Length Ident Flags Offset TTL Protocol Checksum SourceAddr DestinationAddr Options (variable) Pad (variable) 4 8 16 19 31 Data IP packets carry 6-bit service code points (DSCP) Potentially support 64-different classes of services In implementation, the number of DSCPs used in a network is much smaller, e.g. simple two-class network ToS field => now used for DiffServ and ECN Bits 0-5: Differentiated Services Code Point (DSCP) Bit 6: ECN-capable Bit 7: ECN

54 DiffServ Where and how to set the DSCP value
Host set DSCP based on knowledge of application requirements Router at an administrative boundary set DSCP according to a certain policy What does a router do when it receives a packet marked with a certain DSCP Routers map DSCP to per-hop-behavior (PHB) PHBs can be standard or local Standard PHBs include Default: No special treatment or best effort Expedited forwarding (EF): should be forwarded with low delay and loss Assured forwarding (AF): Multiple classes, each class with multiple drop preference

55 Expedited Forwarding (EF)
A router should forward the EF packets with minimal delay and low loss To implement, put all EF packets in a dedicated EF queue and ensure that the arrival rate of packets to the queue is less than the service rate Configure the router at the edge of an administrative domain to allow a certain max rate of EF packets arrivals into the domain Limit the EF packet rate < the bandwidth of the slowest link in the domain Give EF packet queue high priority, e.g. WFQ with a high weight to EF queue

56 Assured Forwarding (AF)
A set of AF PHBs is defined AFxy: x: class, typically determine a queue for the packet y:drop preference For example: AF11, AF12 and AF13 packets are put into the same queue, but AF13 would have a greater chance to be dropped due to congestion. AF11 and AF2y would go to different queues 12 AF PHBs are recommended by IETF, 4 AF classes with three drop preference levels each

57 An Example DiffServ Network Implementation
Support Two-type DiffServ Premium (expedited) service: (type P) User sends within profile, network commits to delivery with the agreed profile Classify packet in one of two queues, use priority Shaping at trust boundaries only, using token bucket Allocate resource based on the agreed peak rate conservative, virtual wire services unused premium goes to best effort (subsidy!) Assured service: (type A) based on expected capacity usage profiles traffic unlikely to be dropped if user maintains profile. Out-of-profile traffic marked

58 Premium traffic flow Company A ISP Packets in premium
flows have bit set Premium packet flow restricted to R bytes/sec internal router ISP host border router first hop router border router Unmarked packet flow

59 2-bit differentiated service
Use precedence field to encode P & A type packets P packets are queued at higher priority than ordinary best effort A packets treated preferentially wrt dropping probability in the normal queue Leaf and border routers have input and output tasks - other routers just output

60 Leaf router input functionality
Clear A & P bits Packet classifier Marker 1 Marker N Forwarding engine Arriving packet Best effort Flow 1 Flow N Marker: Leaf routers have traffic profiles - they classify packets based on packet header (destination addr & port, source addr & port, protocol ID, etc) If no profile present, pass as best effort If profile is for A: mark in-profile packets with A, forward others unmarked If profile is for P: delay out-of -profile packets to shape into profile

61 Markers to implement two different services
P service Wait for token Set P bit Packet input output Drop on overflow Test if token Set A bit No token Packet input output A service

62 Router output interface for two-bit architecture
2 queues: P packets on higher priority queue Lower priority queue implements RED “In or Out” scheme (RIO) P-bit set? If A-bit set incr A_cnt High-priority Q Low-priority Q decr A_cnt RIO queue management Packets out yes no

63 Border router input interface Profile Meters
At border routers, profile meters test marked flows: drop P packets out of profile unmark A packets Arriving packet Is packet marked? Token available? Clear A-bit Drop packet Forwarding engine A set P set token Not marked no

64 Red with In or Out (RIO) Similar to RED, but with two separate probability curves Has two classes, “In” and “Out” (of profile) “Out” class has lower Minthresh, so packets are dropped from this class first As avg queue length increases, “in” packets are dropped MaxP 1.0 Minout Minin Maxin Maxout P(drop) AvgLen

65 Today’s Homework Chapter 6 th ed -6.32 -6.43 -6.44 Due 3/30/15


Download ppt "ECE544: Communication Networks-II, Spring 2018"

Similar presentations


Ads by Google