A3 application aware acceleration for wireless data networks
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A3: APPLICATION AWARE ACCELERATION FOR WIRELESS DATA NETWORKS. Athours: Zhenyun Zhuang and Tae-Young Chang GNAN Research Group, Georgia Tech, Atlanta, GA Raghupathy Sivakumar and Aravind Velayutham Asankya Networks, Inc., Atlanta, GA. MobiCom’06. OUTLINE. Motivation Methodology

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A3 application aware acceleration for wireless data networks

A3: APPLICATION AWARE ACCELERATION FORWIRELESS DATA NETWORKS

Athours:

Zhenyun Zhuang and Tae-Young Chang

GNAN Research Group, Georgia Tech, Atlanta, GA

Raghupathy Sivakumar and Aravind Velayutham

Asankya Networks, Inc., Atlanta, GA

MobiCom’06


Outline
OUTLINE

  • Motivation

  • Methodology

    • Transaction Prediction (TP)

    • Redundant and Aggressive Retransmissions (RAR)

    • Prioritized Fetching (PF)

    • Infinite Buffering (IB)

    • Application-aware Encoding (AE)

  • Integrated A3 Results

  • Pros and Cons


Motivation
MOTIVATION

  • Wireless Environments

    • High loss rate

    • Large delay

    • Low bandwidth

  • Improving the performance of popular applications in wireless environments

    • Common Internet File Sharing protocol(CIFS)

    • Simple Mail Transfer Protocol(SMTP)

    • Hyper-Text Transfer Protocol(HTTP)

Common Internet File Sharing protocol(CIFS)

Figure from Business Communications Review (April 2006)


A3 application aware acceleration
A3: APPLICATION-AWARE ACCELERATION

  • Application aware

    • Recognize applications

  • Application transparent

    • No modifications to applications

  • A set of design elements

    • Transaction Prediction (TP)

    • Redundant and Aggressive Retransmissions(RAR)

    • Prioritized Fetching (PF)

    • Infinite Buffering (IB)

    • Application-aware Encoding (AE)


A3 application aware acceleration1
A3: APPLICATION-AWARE ACCELERATION

  • Implementation with Netfilter for Linux Systems

  • Using Netfilter hooks to capture the packets from traffic

Deployment Model


Experimental setup
EXPERIMENTAL SETUP

  • Application Emulator (AppEm)

    • Using IxChariot to generate accurate application specific traffic patterns

  • A3 Emulator (A3Em)

  • Wireless Network Emulator(WNetEm)

    • are implemented with the framework of NS2


Transaction prediction tp design
TRANSACTION PREDICTION (TP) - DESIGN

  • CIFS requests only16 – 32KB data in a request

  • When requested data < BDP

    • Low utilization

  • Not pre-fetching

  • Deterministically predict

    future requests

  • Issue requests ahead of time

CIFS Traffic Patterns


Transaction prediction tp design cont
TRANSACTION PREDICTION (TP) - DESIGN (CONT.)

CIFS Traffic Patterns


Transaction prediction tp isolated result
TRANSACTION PREDICTION (TP) - ISOLATED RESULT


  • Explicit Loss Notification(ELN)

    • Only reduce the congestion window due to congestion loss.

  • Wireless TCP(WTCP)

    • Any lost segments will have to wait in the WTCP's buffer until the first one is confirmed to have been received.


Transaction prediction tp isolated result1
TRANSACTION PREDICTION (TP) - ISOLATED RESULT


Redundant and aggressive retransmissions rar design
Redundant and Aggressive Retransmissions(RAR) - Design

  • RAR helps to protect thin session

    control messages from losses

  • Not applying to DATA

SMTP Traffic Patterns


Redundant and aggressive retransmissions rar design1
Redundant and Aggressive Retransmissions(RAR) - Design

  • The interval between each redundant packets

    • RTTavg/10

      • RTTavg is the average RTT observed so far

        (dynamical update)

  • Aggressive retransmission

    • Setting a timer = RTTavg + c

      • c is a small guard constant

    • If client gets response

      • stop the timer

    • If all copies of a message are lost

    • Time out=>Retransmission



Prioritized fetching pf design
Prioritized Fetching (PF) - Design

  • Using a plugin of web browser to query

    current focus window and scrolling information

  • The visible object will be downloaded immediately

  • If the object is not visible, then download it later


Prioritized fetching pf isolated result
PRIORITIZED FETCHING (PF) - ISOLATED RESULT


Infinite buffering ib design
INFINITE BUFFERING (IB) - DESIGN

  • Mobile device may have small connection buffer and reading slowly from connection buffer

    • Setting advertised window to MAXIMUM value

2KB data

2KB

ACK window=0

0KB

2KB

ACK window=2K


Infinite buffering ib design1
INFINITE BUFFERING (IB) - DESIGN

  • Mobile device may have small connection buffer and reading slowly from connection buffer

    • Setting advertised window to MAXIMUM value

    • Exceeded data will be stored to 2nd storage

2KB data

2KB

ACK window= MAXIMUM

0KB

2KB data

2KB

2nd Storage


Infinite buffering ib isolated result
INFINITE BUFFERING (IB) - ISOLATED RESULT

  • How fast application layer reads the data?

  • What is the size of connection buffer?


Application aware encoding ae design
Application-aware Encoding (AE) - Design

  • Uses application and user specific information

    • SMTP – Using previous mails

    • Only available to a pair user

  • Not binary compression(such as ZIP)

10 Persons (100 emails)


Application aware encoding ae design1
Application-aware Encoding (AE) - Design

  • A > B

    • Hi B,

      Do you have come to play a game with us?

  • B > A

    • Hi A,

      Sorry, I can’t go to play a game with you.

      =>

    • 0x1 A,

      Sorry, I can’t go 0x2 0x3 a 0x40x5 you

  • Using 10-16bit to represent a word(6bytes)




PROS

  • This paper presents a way to improve the performance of the applications obviously with application transparent

  • Did not present that how the processing overhead affects the performance

  • Infinite Buffering result

CONS


Transaction prediction tp implementation
TRANSACTION PREDICTION (TP) - IMPLEMENTATION






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