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MITATE: Mobile Internet Testbed for Application Traffic ...Utkarsh Goel, Ajay Miyyapuram, Mike P....
Transcript of MITATE: Mobile Internet Testbed for Application Traffic ...Utkarsh Goel, Ajay Miyyapuram, Mike P....
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Utkarsh Goel, Ajay Miyyapuram, Mike P. Wittie, Qing Yang
Montana State University - Bozeman
MITATE: Mobile Internet Testbed
for Application Traffic Experimentation
March 26, 2014
Workshop on Active Internet Measurements (AIMS’14)
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Motivation
APP SERVER
USER
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Motivation
APP SERVER
USER
DEVELOPER
Measure
end-to-end
delays
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Motivation
APP SERVER
USER
DEVELOPER RESEARCHER
Measure
end-to-end
delays
Evaluate new
network
mechanisms
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Motivation
APP SERVER
USER
DEVELOPER RESEARCHER
Measure
end-to-end
delays
Evaluate new
network
mechanisms
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MITATE
• A new platform for mobile application prototyping in live mobile networks.
• Allows experimentation with custom mobile application traffic between
mobile devices and cloud infrastructure endpoints.
• A collaborative framework, in which participants contribute their mobile
network resources and are allowed, in turn, to run their traffic
experiments on others’ devices.
• Open to the public and being deployed on Google’s Measurement Lab
(M-Lab).
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Measurement without MITATE
//app codeint main()
App Traffic//srvr codeint main()
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
App Traffic//srvr codeint main()
Security concerns over untested code
Restrictive APIs
Want to measure traffic delays. Have to deploy code to do so.
Small number of volunteered devices
Downsides of code deployment
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How does MITATE help measurement?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
//srvr codeint main()
App Traffic
App TrafficXML:
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MITATE’s traffic definition
• Generate traffic definitions in a form of well structured XML that defines
– what the traffic looks like?
– where the traffic is going?
– when the traffic is to be sent?
– which mobile device should execute the experiment?
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Defining a transfer
other parameters include:
• Transmission delay
• No. of packets
• Explicitly defined content
<transfer>
<id>transfer1</id>
<src>client</src>
<dst>1.2.3.4</dst>
<protocol>UDP</protocol>
<dstport>5060</dstport>
<bytes>20</bytes>
<response>0</response>
</transfer>
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Defining transfers with explicit content
<transfer>
<id>dns_req</id>
<src>client</src>
<dst>DNS</dst>
<dstport>53</dstport>
<prot>UDP</prot>
<bytes><![CDATA[0x0100be07de55...]]></bytes>
<response>1</response>
</transfer>
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Defining a criteria
<criteria>
<id>criteria1</id>
<latlong>"45.666 -111.046"</latlong>
<radius>5000</radius>
<networktype>cellular</networktype>
<starttime>12:00</starttime>
<endtime>13:30</endtime>
</criteria>
other parameters include:
• Network carrier
• Minimum battery power
• Minimum signal strength
• Device model name
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Summing up all the definitions
<transaction count=“10”>
<criteria>
<criteriaid>criteria1</criteriaid>
</criteria>
<transfers>
<transferid delay=“10” repeat=“1”>transfer1</transferid>
<transferid delay=“20” repeat=“2”>transfer2</transferid>
<transferid delay=“10” repeat=“1”>transfer1</transferid>
</transfers>
</transaction>
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How does MITATE help developers?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
//srvr codeint main()
App Traffic
App TrafficXML:
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How does MITATE help developers?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
//srvr codeint main()
App Traffic
App TrafficXML:
No mobile code – only traffic description shipped to mobiles
Flexibility in traffic generation logic
Large number of volunteered devices
Upsides of using MITATE
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How does MITATE help developers?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
//srvr codeint main()
App Traffic
App TrafficXML:
No mobile code – only traffic description shipped to mobiles
Flexibility in traffic generation logic
Large number of volunteered devices
Upsides of using MITATE
![Page 17: MITATE: Mobile Internet Testbed for Application Traffic ...Utkarsh Goel, Ajay Miyyapuram, Mike P. Wittie, Qing Yang Montana State University - Bozeman MITATE: Mobile Internet Testbed](https://reader033.fdocuments.us/reader033/viewer/2022051606/601ff164c78520306d37361a/html5/thumbnails/17.jpg)
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How does MITATE help developers?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
//app codeint main()
//srvr codeint main()
App Traffic
App TrafficXML:
No mobile code – only traffic description shipped to mobiles
Flexibility in traffic generation logic
Large number of volunteered devices
Upsides of using MITATE
![Page 18: MITATE: Mobile Internet Testbed for Application Traffic ...Utkarsh Goel, Ajay Miyyapuram, Mike P. Wittie, Qing Yang Montana State University - Bozeman MITATE: Mobile Internet Testbed](https://reader033.fdocuments.us/reader033/viewer/2022051606/601ff164c78520306d37361a/html5/thumbnails/18.jpg)
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How does MITATE help developers?
MITATE separates traffic generation from application logic
MITATE App Traffic MITATE
Mobile Devices Back-end ServersApplication Implementation
App TrafficXML:
No mobile code – only traffic description shipped to mobiles
Flexibility in traffic generation logic
Large number of volunteered devices
Upsides of using MITATE
where performance of intermediate solutions are
the reported metrics in each experiment round
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Challenges in deploying large scale testbed
• Assure sufficient resource capacity for scheduled experiments.
(Limiting resource is mobile data, subject to monthly caps)
– Entice users to contribute resources
– Prevent abuse of contributed resources
• MITATE jointly addresses both problems using a data credit exchange system inspired by BitTorrent tit-for-tat mechanisms
• Avoid DDoS attacks configured as MITATE experiments.
– A MITATE user may request that multiple devices send data simultaneously, the user’s credit will be rapidly depleted.
– So even if the transmissions are malicious, they will be short-lived.
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Measure of application performance
• What is the largest game state update message that can be reliably
delivered under 100 ms?
• Does my application traffic need to contend with traffic shaping
mechanisms?
• Which CDN provides fastest downloads through a particular mobile
service provider's peering points?
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Message delay vs. message size at 10AM on
CSP 1 to a CA datacenter
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Measure of application performance
• What is the largest game state update message that can be reliably
delivered under 100 ms?
• Does my application traffic need to contend with traffic shaping
mechanisms?
• Which CDN provides fastest downloads through a particular mobile
service provider's peering points?
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Effect of payload on CSP1
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Effect of choice of transport protocols
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Measure of application performance
• What is the largest game state update message that can be reliably
delivered under 100 ms?
• Whether the delays are due to network allocation timeouts or due to the
device entering power save mode?
• Does my application traffic need to contend with traffic shaping
mechanisms?
• Which CDN provides fastest downloads through a particular mobile
service provider's peering points?
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Measurement based CDN selection
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Conclusions
• MITATE is the first public testbed that supports prototyping of application
communications between mobiles and cloud datacenters.
• MITATE separates application logic from traffic generation, which
simplifies security and resource sharing mechanisms.
• We have presented data collected with MITATE experiments that affects
mobile application message delay.
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Requests to the audience
• Beta testers and collaborators within the mobile development and
research communities to test MITATE
• Feedback on MITATE’s functionality before making the tool public on
M-Lab.
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Learn more
• Details in our Mobiquitous’13 paper:
http://www.cs.montana.edu/mwittie/publications/Goel13MITATE.pdf
• Web URL: http://mitate.cs.montana.edu
• Email: [email protected]
• Code Repo: https://github.com/msu-netlab/MITATE
Thank you
Questions?
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Why “MITATE”
• Mitate is a technique used in ukiyo-e images, as
well as in other creative forms, in which many
layers of meaning are layered atop one another
• MITATE allows the discovery of multiple types of
mobile network performance data
A mitate-e painting by Hokusai, depicting a courtesan
juxtaposed with Daruma, the founder of Zen.
http://wiki.samurai-archives.com/index.php?title=Mitate