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DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST) ‡Carnegie Mellon University in Qatar IFIP NTMS‘12
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DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Jan 02, 2016

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Page 1: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

DBAS: A Deployable BandwidthAggregation System

Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡†Egypt-Japan University of Sc. and Tech. (E-JUST)

‡Carnegie Mellon University in Qatar

IFIP NTMS‘12

Page 2: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Motivation

• The proliferation of multi-homed or multi-interface enabled devices

• These interfaces are utilized one at a time

• Exponential increase in mobile data demand

Socket API

Page 3: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Bandwidth Aggregation Systems

• Availability of many solution for utilizing the available multiple interfaces

• The available solutions face a steep deployment barrier– Why ??

Page 4: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Solutions Shortcomings

• Requiring updating the legacy application– Ex: Application has to quantify its requirements

• Requiring updating the network infrastructure and introduce new components– Ex: Proxies and routers

• Requiring updating the legacy servers• Introduce Kernel level modifications to the end

nodes– Requires recompiling the kernel

Page 5: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Design Goals

• Goal 1: Avoid modifying the legacy applications while making use of their characteristics

• Goal 2: Avoid network infrastructure updates• Goal 3: Avoid legacy servers updates while making

use of this opportunity if available• Goal 4: Avoid kernel level modifications to the clients• Goal 5: Utilize the available interfaces to their

maximum• Goal 5: Capture the user preferences

Page 6: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• End-to-End communication– No infrastructure

updates

Page 7: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• Application Characteristics Estimator– Qualitative

measurements– Quantitative

measurements

Page 8: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• Mode detection module– A server listening

on specific port– Specifies either the

server DBAS-enabled or not

Page 9: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• Interface Characteristics Estimator– Estimates the

available bandwidth at each interface

– Uses destination based estimates in case of DBAS-Enabled servers

Page 10: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• Scheduler– Schedules the

packets and/or the connections on the different network interfaces

Page 11: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• Received Data Reordering Module– Used only in

packet oriented mode

– Reorder the packets before giving them to the application

Page 12: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

System Architecture

• User Interface Module– Obtains user’s

preferences and interface usage policies

Page 13: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Scheduling Techniques

• Only-One:– Reflects the current OS’s scheduling technique

which selects only one of the available network interfaces

• CO Round Robin– Assigns the connections to the different network

interfaces in a rotating basis– Does not take into account the interfaces

characteristics and applications characteristics

Page 14: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Scheduling Techniques

• CO Weighted Round Robin– Assigns the connections to the different network

interfaces in a rotating basis weighted by the interface estimated bandwidth such that higher bandwidth interfaces get assigned more connections

– Takes the interfaces characteristics into account while not taking the applications characteristics

Page 15: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Scheduling Techniques

• CO Maximum Throughput– Assigns the connections to the different network

interfaces such that it minimizes the time need to finish the current system load in addition to the new connection’s load

– Takes both the interfaces characteristics and the application characteristics into account

Page 16: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Scheduling Techniques

• PO Round Robin– Assigns the packets/chunks to the different network

interfaces in a rotating basis– Does not take into account the interfaces characteristics

and applications characteristics • CO Weighted Round Robin– Assigns the packets/chunks to the different network

interfaces in a rotating basis weighted by the interface estimated bandwidth

– Takes the interfaces characteristics into account while not taking the applications characteristics

Page 17: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Implementation

• DBAS Middleware– It is implemented as a Layered Service

Provider (LSP) – It is installed as a part of the TCP/IP

stack in Windows OS– It intercepts socket-based connection

requests and assign proper network interfaces to them or distribute their data across the different interfaces

Network Application(e.g. Firefox)

Winsock 2 API

WS2_32.DLL

SPI

DBAS Middleware

Base Protocol(e.g. TCP/IP)

Page 18: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Implementation

• DBAS Monitoring Application– It is used to captures the user preferences and

interfaces’ usage policies– It is also used to monitor DBAS middleware and its

estimates

Page 19: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Evaluation

• Network Topology– Client node equipped with multiple network

interfaces (IF1 and IF2)– Server node– Intermediate node with NIST-NET network

emulator is used to change the network interfaces characteristics

Page 20: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Evaluation

• Applications Models– Small load application represents Internet browsing

• Generate connections with length follows exponential distribution with mean 22.38KB

• Generate connections following a Poisson process with mean 13 connection/sec

– Large load application represents P2P and FTP • Generate connections with length follows exponential

distribution with mean 285KB • Generate connections following a Poisson process with

mean 1 connection/sec

Page 21: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Results (Interfaces Heterogeneity)

Using interfaces characteristics estimates achieves up to 396% throughput gains

Page 22: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Results (Interfaces Heterogeneity)

Without using interfaces characteristics scheduling may achieve lower performance than single interface even in PO scheduling

Page 23: DBAS: A Deployable Bandwidth Aggregation System Karim Habak†, Moustafa Youssef†, and Khaled A. Harras‡ †Egypt-Japan University of Sc. and Tech. (E-JUST)

Results (Applications Heterogeneity)

Using applications characteristics estimates achieves up to 130% throughput gainsPO Scheduling is not affected by applications characteristics