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TCP over Wireless Networks

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Presentation on theme: "TCP over Wireless Networks"— Presentation transcript:

1 TCP over Wireless Networks

2 WTCP Reliable transport protocol for wide-area wireless networks
Alternative to TCP (but completely different unlike the schemes we have seen so far) End-to-end approach

3 WTCP Approach Rate based transmission control
Inter-packet separation based congestion detection Distinguishing cause of packet loss Transmission control computations at receiver Variable granularity rate adjustment Quick start

4 WTCP Reliability SACK algorithm Probe packets

5 Reliability Selective acknowledgements
SACKs very useful in TCP when random losses occur Better utilization of the network resources (no unnecessary retransmissions)

6 Reliability (contd.) No retransmit timeouts
Since RTOs cannot be relied upon, WTCP does not use RTOs Use probe packets to recover from suffix losses ACK frequency tuned by sender based on factors such as (a) observed loss rate on reverse path, (b) round-trip time, (c ) half-duplex or full-duplex nature of channel

7 WTCP Algorithm Congestion control
3 phases: increase, decrease, and maintain Chosen based on long-term and short term averages in inter-packet separation RTT computation (for probing) Using loss profile Increase, decrease, maintain phases

8 WTCP Recap E2E approach Completely different from TCP
Uses rate based transmissions Uses inter-packet separation as congestion indication Performs loss classification No RTOs SACK + probe packets

9 pTCP: A Transport Layer Approach for Achieving Aggregate Bandwidths on Multi-homed Mobile Hosts

10 Introduction A multitude of wireless access technologies
How can these technologies co-exist in providing the best service to a multi-homed mobile user? Use only the interface with the highest data rate at any given time Objective Allow simultaneous use of multiple wireless access technologies (striping) Design a transport layer protocol that provides reliable and sequenced delivery like in TCP, and achieves effective bandwidth aggregation existing solutions have been considered using the best… for example, … However, the objective of our work is to consider simultaneous use… For example, 7Mbps To achieve this objective, we design… -- effective cost-qos tradeoffs an interesting problem that arises is … the concept of vertical handoff has been proposed to address this problem, where a mobile user is provided access through the higher data connection when it migrates across coverage areas. For example, when a user with 2Mbps Wireless WAN access moves within the coverage of 10Mbps Wireless LAN, … why transport layer emphasize simultaneous use and bandwidth aggregation illustrate bandwidth aggregation?

11 Why Not Lower Layers? Link layer striping [Adiseshu ’96, Snoeren ’99]
Stripe according to estimates of link bandwidths Optimal link layer striping  optimal bandwidth aggregation across multi-hop paths Not applicable to multi-homed mobile hosts Network layer striping [Phatak ’02] IP performs tunneling and striping TCP’s RTT estimates lose meaning TCP adversely reacts to packet reordering bandwidth aggregation at the link layer has been proposed -- But more importantly, TCP’s adversely… causes the problem. adverse reaction: mention fast retransmit causes window cutdown Lower layer approaches fail due to the multi-hop nature of paths and TCP’s reliance on FIFO delivery!

12 Why Not Multiple Sockets?
Application layer striping Open multiple TCP sockets Each socket is in charge of only one path (pipe) Perform bandwidth estimation at the sending end and packet re-sequencing at the receiving end Optimal aggregate bandwidth = sum of maximum achievable bandwidths on the individual pipes pipe 1 pipe 2 an alternative approach is to use application layer striping by opening multiple … to achieve bandwidth aggregation, the sending end…, and to provide in-sequence, .. Note that what we mean by effective bandwidth aggregation is to achieve.. -- smart application coarse level Problems Data rate differential Data rate fluctuations Blackouts

13 Data Rate Differential
Head of line blocking will result in the slower pipes stalling the faster pipes Example Two pipes with mismatched bandwidths Unaware application Write until blocked Sequence Number (Unaware Application) 1 2 3 4 5 6 35 36 37 38 39 40 Time (sec) Sequence Number (x1000) Pipe 1 (2500kbps) Pipe 2 (500kbps) Throughput vs. Bandwidth Ratio 1 2 3 4 5 6 7 8 9 10 Bandwidth Ratio (to 500kbps) Throughput (Mbps) Ideal Smart Application Unaware Application mention ideal here snapshot , a more generic scenario … describe the problem put up ideal with unaware application smart application stripes based on 5:1 Unaware application does not work. Need some kind of bandwidth estimation Smart application Coarse-grained bandwidth estimation The aggregate bandwidth is limited by the slower pipe in the unaware application

14 Data Rate Fluctuations
Data rate fluctuations cause disproportional striping Data Rate Fluctuations 1.5 1.7 1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3 3.5 10 9 8 7 6 5 4 3 2 1 Fluctuation Period (sec) Throughput (Mbps) Ideal Smart Application Unaware Application 1 2 3 4 5 6 20 40 60 80 100 Bandwidth (Mbps) Time (sec) Bandwidth Fluctuations (5Mbps Pipe) Example Two pipes with random data rate fluctuations every t seconds Smart application Performs bandwidth estimation every T seconds put up smart application after the fluctuation curve 1. general description 2. describe the link fluctuations (1 to 5Mbps, 200Kbps to 1Mbps) 3. smart application performs coarse grain for every T seconds Need aggressive bandwidth estimation, which will cause overhead Packets will be unnecessarily held up in each socket Smart application’s performance is limited by disproportional striping

15 Blackouts Undelivered packet in the blackout pipe will cause head of line blocking Smart Application during Blackouts 5 10 15 20 25 30 40 50 60 70 80 90 100 Time (sec) Sequence Number (x1000) Pipe 1 (does not experience blackout) Pipe 2 (experiences blackout) Example One of the two pipes experiences blackout The other pipe does not experience any blackout stalled due to pipe 1 blackout blackout is a phenomenon where the data rate goes to zero -- 1. one generic statement 2. scenario true even for multiple pipes blackout Blackouts on one pipe will stall the entire aggregate connection

16 Design Elements Decoupling of functionalities
Per-pipe (TCP-v) behavior vs. aggregate connection (pTCP) behavior TCP-v: virtual packets; pTCP: data packets TCP-v: congestion control; pTCP: reliability TCP-v: how much to send; pTCP: what to send The fundamental design element of the pTCP protocol is the decoupling of functionalities… in terms of key functionalities, TCP-v handles… Note that although we present pTCP as a wrapper around TCP-v, it can be used in tandem with any single-pipe transport layer protocol TCP-v congestion control, pTCP reliability Allow plug-in of different congestion control schemes for different pipes

17 Design Elements Congestion window based striping Dynamic reassignment
A packet is given to a TCP-v only when its congestion window has space Reuse TCP’s congestion control for bandwidth estimation Dynamic reassignment Reassign packets that fall out of TCP-v’s window Avoid packets being held up by one pipe -> differential [say here that pTCP can use any congestion control; also mention that this is fine-grained bandwidth-based striping] -> fluctuations [mention that this addresses the problem caused by fluctuations (disproportional striping)] -> blackouts binding mention Redundant striping Redundantly stripe the first packet after timeouts Allow the concerned pipe to probe while not potentially stalling the rest

18 pTCP Architecture Application pTCP TCP-v IP data packet virtual packet
control read write ptcp-recv ip-output Application IP pTCP TCP-v open/close established/closed receive send shrunk resume recv buffer send buffer bindings active pipes virtual recv buffer virtual send buffer briefly mention open/close/established/closed only can link back to the design?

19 pTCP Architecture Application pTCP TCP-v IP data packet virtual packet
control read write ptcp-recv ip-output Application IP pTCP TCP-v open/close established/closed recv buffer send buffer bindings active pipes receive send virtual recv buffer virtual send buffer resume mention application reads at the end briefly mention open/close/established/closed only can link back to the design? shrunk

20 pTCP Protocol Congestion control Flow control Reliability
Performed by each TCP-v on a per-pipe basis Any congestion control mechanism can be used Flow control Managed by pTCP through window advertisement No flow control by TCP-v Reliability pTCP delegates reliability to each TCP-v unless the packet has to be reassigned congestion control: Any congestion control mechanism can be used (current prototype and results using TCP’s CC) flow control: No flow control by TCP-v which component handles it how does it do it Connection management pTCP manages the aggregation connection while TCP-v manages the individual pipes

21 Simulation Environment
Topology Pipe 1: BW = 500kbps ~ 5Mbps, RTT = 100ms Pipe 2: BW = 2Mbps, RTT = 400ms Pipe 3: BW = 500kbps, RTT = 400ms Approaches Ideal pTCP Smart application Unaware application 3 types of pipes representative of different wireless evironments and we consider 4 different types of approaches why such values simulation does not matter

22 Data Rate Differential
Throughput vs. Bandwidth Ratio 1 2 3 4 5 6 7 8 9 10 Bandwidth Ratio (to 500kbps) Throughput (Mbps) Ideal pTCP Smart Application Unaware Application

23 Data Rate Fluctuations
Throughput vs. Number of Pipes (with Fluctuations) 2 4 6 8 10 12 14 16 3 5 7 9 Number of Pipes Throughput (Mbps) Ideal pTCP Smart Application Unaware Application take the same scenario as the “different number of pipes”, and we now introduce data rate fluctuations

24 Blackouts (pTCP) pTCP during Blackouts 10 20 30 40 50 60 70 80 90 100
10 20 30 40 50 60 70 80 90 100 Time (sec) Sequence Number (x1000) Pipe 1 (does not experience blackout) Pipe 2 (experiences blackout) continues progression blackout

25 Multiple Congestion Control Schemes
Use TCP-ELN for lossy link (Pipe 2) Multiple Congestion Control Schemes 1 2 3 4 5 6 7 1.00E-05 1.00E-04 1.00E-03 1.00E-02 Packet Drop Probability (Pipe 2) Throughput (Mbps) Ideal: TCP (Pipe 1) + ELN (Pipe 2) pTCP: TCP (Pipe 1) + ELN (Pipe 2) Smart Application: TCP (Pipe 1) + ELN (Pipe 2) Smart Application: TCP (Pipe 1) + TCP (Pipe 2) mention bw for each pipe ideal first link back to decoupling of functionalities

26 Related Work Link layer Network layer Transport layer
Scalable striping [Adiseshu ’96] Adaptive inverse multiplexing [Snoeren ’99] Network layer Multi-IP links streaming [Phatak ’02] Transport layer SCTP [Stewart ’00] RMTP no animation? RMTP [Magalhaes ’01] Application layer PSockets [Sivakumar ’00]

27 Recap Bandwidth aggregation can be used to provide better service to multi-homed mobile hosts A transport layer approach is more effective than other layers in the target environment pTCP achieves effective bandwidth aggregation despite the data rate mismatch, fluctuations, and blackouts of different pipes mention 3 characteristics first then target environment For more information:

28 Puzzle You have a chain consisting of 63 inter-linked gold links
You have to stay at a motel where the charge per day is 1 gold link You do not trust the motel manager and neither does he trust you What is the minimum number of links you need to break in order to stay for 63 days? Clue: The manager will not sell the links till you check out


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