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Aaron Yi DING, PhD Assistant Professor, TU Delft Adjunct Professor, University of Helsinki Cyber-Physical Intelligence (CPI) Lab Email: Aaron.Ding (at) tudelft.nl Address: P.O. Box 5015, ESS, TU Delft Jaffalaan 5, 2600GA Delft, Netherlands |
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Software Highlight
System implementation is a key part of my research in IoT, mobile and edge computing. Besides delivering my contributions via scientific publications, I always release, if permitted, my work as open-source software. Here I list the implementations that are completed through my research projects. All source codes can be forked from my GitHub repository. Quick bounce to SoftOffload | MADNet | NAO | Other implementations
SoftOffload
Overview
Homepage
Source Code
MADNet
Overview
Metropolitan Advanced Delivery Network (MADNet) is a collaborative WiFi-based mobile data offloading architecture that targets to improve energy efficiency for smartphones. MADNet achieves collaboration by intelligently aggregating the power of cellular operators, WiFi service providers and end-users. It utilizes an energy-aware algorithm to assist the offloading decision for smartphones, which enables them to select the most energy efficient WiFi APs to offload mobile traffic.
Publications
- "Energy Awareness in Mobile Traffic Offloading"
Aaron Yi Ding, Jon Crowcroft
Cambridge University Press: Smartphone Energy Consumption: Modelling and Optimization, 2014. -
"Enabling Energy-Aware Collaborative Mobile Data Offloading for Smartphones"
Aaron Yi Ding, Bo Han, Yu Xiao, Pan Hui, Aravind Srinivasan, Markku Kojo, Sasu Tarkoma
IEEE SECON, New Orleans, USA, June 2013. -
"Collaborative Communication and Sensing for Mobile Systems"
Aaron Yi Ding, Jon Crowcroft, Sasu Tarkoma
ACM SenSys Doctoral Colloquium, Rome, Italy, November 2013. -
"Enable Energy-Aware Mobile Data Offloading for Smartphones through Vertical Collaboration"
Aaron Yi Ding, Pan Hui, Markku Kojo, Sasu Tarkoma
ACM CoNEXT PhD Student Workshop, Nice, France, December 2012. (32 accepted out of 62 submissions) -
"Enabling Energy-aware and Collaborative Management of Data Traffic for Mobile Systems"
Aaron Yi Ding, Markku Kojo, Sasu Tarkoma
ACM EuroSys Doctoral Workshop, Bern, Switzerland, April 2012.
Source Code
NAO
Overview
Network-Assisted Offloading (NAO) is a framework that utilizes network assistance to achieve efficient IP traffic offloading. It enables mobile network operators to actively trigger and guide the traffic offloading through dedicated protocols. NAO supports two offloading modes, namely host-driven mode with DHCPv6 and network-driven mode with Neighbor Discovery.
Publications
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"Toward Network Controlled IP Traffic Offloading"
Jouni Korhonen, Teemu Savolainen, Aaron Yi Ding, Markku Kojo
IEEE Communications Magazine (IEEE COMMAG), Volume 51, Issue 3, p.96 - 102, 2013. -
"Controlling Traffic Offloading Using Neighbor Discovery Protocol"
Jouni Korhonen, Teemu Savolainen, Aaron Yi Ding
IETF Internet Draft, 2012. -
"NAO: A Framework to Enable Efficient Mobile Offloading"
Aaron Yi Ding, Jouni Korhonen, Pan Hui, Teemu Savolainen, Sasu Tarkoma, Markku Kojo
ACM Middleware PDT Workshop, Lisbon, Portugal, December 2011. -
Aaron Yi Ding, Jouni Korhonen, Teemu Savolainen, "Controlling Traffic Offloading Using Neighbor Discovery Protocol", In Proceedings of IETF-83, Internet Area, France, 2012.
» Presentation at IETF, Paris. -
Aaron Yi Ding, Jouni Korhonen, Teemu Savolainen, "Controlling Traffic Offloading Using Neighbor Discovery Protocol", In Proceedings of IETF-82, Internet Area, 2011.
» Presentation at IETF, Taipei.
Source Code
- Linux kernel extensions and P-GW/GGSN module - under review with industrial partners.
Other Implementations
Linux netlink patch for IPv6 address label manipulation: ns-2 modules for EAP fast authentication: Virtualization-based Platform Migration for On-Demand VoIP Services