1 Dr. Jim Martin Associate Professor School of Computing Clemson University...

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Dr. Jim Martin Associate Professor School of Computing Clemson University [email protected] http:// www.cs.clemson.edu/ ~jmarty Networking Lab’s Website: http://www.cs.clemson.edu/~jmarty/net

Transcript of 1 Dr. Jim Martin Associate Professor School of Computing Clemson University...

Page 1: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

Dr. Jim MartinAssociate ProfessorSchool of ComputingClemson [email protected]://www.cs.clemson.edu/~jmarty

Networking Lab’s Website: http://www.cs.clemson.edu/~jmarty/netlab/

Page 2: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

Research Group’s MissionVision Statement:

• Computing and the Internet are converging

• Traditional broadcast video (Cable/Satellite) is converging with the Internet

• Networks are becoming more and more ‘heterogeneous’

• Wireless networks struggling to become ‘cooperative’

• LTE-A supports hetnets (pico/femto/relays)

• WiFi Offloading is getting lots of attention

• Mobile Virtual Network Operator (MVNO) model

The networking group focuses on a range of problems that are at the heart of developing and analyzing emerging cybersystems. The mission of the lab is to support cutting edge research in cybersystems AND to train researchers to address the needs of the changing world.

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Page 3: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

Internet

Intelligent Transportation System

Smart Grid Environmental Sensing

Mobile/Broadband Wireless Internet Access

Health Care

Intelligent Transportation System (ITS)

Access Networks

Power Company’s Smart Grid Support

3G/4G Cellular Data Service (e.g., Verizon or AT&T)

Wired Access (e.g., Comcast or AT&T)

Open or shared wireless network

Internet Service Provider (ISP Vertical Services)

Heterogeneous Wireless Network (hetnet)

•Wireless Heterogeneous Networks (aka hetnets) extend application domains over a wireless Internet

– Challenge #1 : Cooperative networks are COMPLICATED

– Challenge #2 : Cooperative networks BREAK current ISP economic models

– Challenge #3 : The current method for spectrum management is OUTDATED

– Challenge #4 : Pushes the original TCP/IP design BEYOND its capabilities

•Large percentage of recent NSF funding in wireless networks focus on issues related to hetnets

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The science behind this work is in the area of resource allocation and systems performance

Page 4: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

•Engages undergraduate students to ‘change the world’

•Build tools that allow broadband users (wired and wireless) to quantify and assess services

• Our Focus is heterogeneous wireless networks (i.e., WiFi + cellular) – interesting mapping challenges!!

• We are developing application/user oriented metrics/tools

• Engage ‘crowd sourcing’ to populate a publically available database of results

• FCC is heavily involved in wired broadband access (refer to the latest broadband report at http://www.fcc.gov/reports/eighth-broadband-progress-report).

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Networking Lab’s Outreach: CyberTiger

We were interested in this area•Hemingway, SC (population 500)

• FCC is managing the Mobility Fund initiative (refer to http://www.fcc.gov/maps/mobility-fund-phase-1-eligible-areas)

• We tasked a set of undergrad students to validate the raw data produced by ConnectedNation submitted to the FCC for Mobility Fund Analysis (refer to http://www.connectsc.org/mapping/state )

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Page 5: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

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CyberTiger.clemson.eduSee http://cybertiger.clemons.edu•Android App, iPhone App•Server side to the client tools•Web backend (database and visualization)

Visualization of data:•Can filter based on operator, access technology (coming soon: by date and device type)•Currently shows either signal strength results, TCP, UDP, or streaming metric results. The points are color coded.

• Green is GOOD!• Red is BAD!

Page 6: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

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Summary of all Results•We mapped North of the target region (lack of roads, long day of driving)•Conclusions:

• Never saw 3G in the area• 2G coverage was very poor

2012-08-03: Hemingway, SC Field Test

• We superimpose our data over the area of interest (from the Mobility Fund Analysis results (http://www.fcc.gov/maps/mobility-fund-phase-1-eligible-areas )

• This FCC map shows the areas identified as eligible for Mobility Fund Phase 1 support as of May 2012. These areas are US Census blocks that lack 3G or better mobile coverage at the centroid of the block and contain road miles in any of six road categories. These blocks were identified by analyzing US Census data, January 2012 American Roamer (now called Mosaik Solutions) data, and information submitted by third parties

• The FCC color code:• The dark blue areas represent the Fund Eligible

Areas currently served by Mobile Networks.• The light blue areas represent the Fund Eligible

Areas currently unserved by Mobile Networks. • The green areas represent the areas Non Eligible

to Fund Auctions .• CyberTiger points color code

• Green is GOOD• Red is BAD

Page 7: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

2012-08-03: Hemingway, SC Field Test

UDP Bandwidth Test Results

•2G coverage near Florence shows a downstream throughput up to 80Kbps however it is less then 10 Kbps near Hemingway

•CyberTiger data points color code

• Green is GOOD (> 3.5 Mbps downstream throughput)

• Red is BAD (< 1 Mbps downstream throughput)

Page 8: 1 Dr. Jim Martin Associate Professor School of Computing Clemson University jim.martin@cs.clemson.edu jmarty Networking Lab’s.

New interface

• One click testing

• Automated mode (runs tests continuously)

Additional assessment techniques

• Assessment tradeoff: low bandwidth consumption vs detail of assessment

• Application metrics (Netflix, VoIP, sensing application)

Visualization / Data Analysis

•Support assessments suitable for a specific user (login, see his/her data, assess service levels relative to average observed results)

• Partner/collaborators login and see subset of data

•Mission focused steps

• Mapping the campus

• Engaging students, social networking

• Mapping rural SC

• Incorporate/blend GIS data

• Application domain support

• Connected vehicle

• Precision agriculture

• Environmental sensing

CyberTiger: Moving Forward