I am a system-track Ph.D. candidate. My thesis advisor is Professor
Ramesh
Govindan.
I am working with the group Embedded Networks Lab.
My areas of general interest include computer
networks, operating systems, distributed systems, and wireless sensor
networks.
I have been intensively working with distributed network anomaly
detection systems and distributed indexing and query
processing systems.
Back to the year 2003, I started with the project
DIM which aimed
at building a distributed range query supporting system for sensor
networks.
This is the first distributed storage system that supports
multi-dimensional range queries for wireless sensor networks, and has
inspired many follow-up research efforts.
DIM divides the data space into indexed blocks and assigns each block
to a sensor node.
Sensor readings are stored in the node according to the index and can
be fast retrieved by user queries.
I designed the indexing and query algorithms and evaluated with
real-world sensor readings with C++ and
ns-2.
I also implemented DIM on the MICA mote platform and publicly
demonstrated the prototype in several venues.
This work is published in ACM Sensys 2003.
Soon after DIM, we recognized that the similar idea can also be
used for resolving range queries on the Internet.
Then distributed network anomaly detection was selected as the
driven-application.
This formed a new project,
MIND.
This is the first operational distributed indexing system specifically
designed and deployed to support network monitoring on the Internet.
It allows fast routing of multi-dimensional tuples and queries.
It balances traffic and storage load in order to minimize search time
and risks of congestion It is robust to attacks and network failures.
I designed and evaluated the main algorithms with real Internet traffic.
I also implemented a prototype of the system with Java.
This prototype has run on the
planet-lab
with over 100 nodes across the world.
This work is published in IEEE INFOCOM 2006 and IEEE NetDB 2005.
After MIND, I keep working along the direction of distributed
network-wide anomaly detection and has designed schemes for this
purpose.
Many outside people are involved in this long-term project
including Dr. Wei Hong (Co-founder of Arch Rock Corporation),
Dr. Christophe Diot (Director of Thomson's Research Lab at Paris),
Dr. Gianluca Ionnaccone (Senior researcher at Intel Research
Cambridge), and Dr. Hui Zhang (NEC labs America).
For more about our projects
Papers
- Xin Li, Fang Bian, Mark Crovella, Christophe Diot, Ramesh Govindan,
Gianluca Iannaccone, Anukool Lakhina.
Detection and Identification of Network Anomalies
Using Sketch Subspaces.
In Proceedings of f ACM Internet Measurement
Conference, 2006.
[PDF]
- Xin Li, Fang Bian, Hui Zhang, Christophe Diot, Ramesh Govindan, Wei
Hong, Gianluca Iannaccone.
MIND: A Distributed Multi-dimensional
Indexing System for Network Diagnosis.
In Proceedings of IEEE INFOCOM,
2006.
[PDF]
- Xin Li, Fang Bian, Hui Zhang, Christophe Diot,
Ramesh Govindan, Wei Hong, Gianluca Iannaccone.
Advanced Indexing Techniques for Wide-Area Network
Monitoring,
In 1st IEEE International Workshop on Networking
Meets Databases (NetDB), 2005.
[PDF]
- Xin Li, Fang Bian, Hui Zhang, Christophe Diot, Ramesh Govindan, Wei
Hong, Gianluca Iannaccone, Advanced Indexing
Techniques for Wide-Area Network Monitoring, No. 05-847,
2005. [Technical Report]
[PDF]
- Xin Li, Fang Bian, Ramesh Govindan, Wei Hong,
Rebalancing Distributed Data Storage in Sensor
Networks, No. 05-852, 2005.
[Technical Report]
[PDF]
- Fang Bian, Xin Li, Ramesh Govindan, Scott Shenker,
Using Hierarchical Location Names for Scalable
Routing and Rendezvous in Wireless Sensor Networks,
In International Journal of Ad Hoc and Ubiquitous
Computing, special issue on wireless sensor networks,
2005.
- Ramakrishna Gummadi, Xin Li, Ramesh Govindan, Cyrus Shahabi, Wei
Hong, Energy-Efficient Data Organization and
Query Processing in Sensor Networks,
SIGBED Review, Vol. 2, No. 1,
January 2005.
[PDF]
- Xin Li, Young Jin Kim, Ramesh Govindan, Wei Hong,
Multi-dimensional Range Queries in Sensor
Networks, In Proceedings of the ACM
Conference on Embedded Networked Sensor Systems,
November 2003.
[Gzip-ped
PostScript] [Abstract]
- Fang Bian, C.S. Raghavendra, Ashish Goel, Xin Li,
Energy-efficient Broadcast in Wireless Ad-hoc
Networks: Lower bounds and Algorithms, In
Journal of Interconnection Networks, 3(3-4), pp. 149-166,
2002.
Talks and posters
- Distributed Index for Multi-dimensional Data
in Sensor Networks, ACM Sensys'03,
November 5th, 2003.
[PDF]
- MIND: A Distributed Multi-dimensional Indexing
System for Network Diagnosis,
Intel Security Workshop,
November 17th, 2005.
[PDF]
- Distributed Indexing for Multi-dimensional data
in sensor networks.
In: Posters of the Open House of Intel Research Berkeley.
Berkeley, CA. 30th September 2003.
[PDF]
- Distributed Indexing for Multi-dimensional data
in sensor networks.
In: Posters of the 1st Annual Research Review of CENS.
Los Angeles, CA. 10th October 2003.
[PDF]
- Distributed Indexing for Multi-dimensional data
in sensor networks.
In: Posters of the ACM Conference on Embedded Networked Sensor Systems.
Los Angeles, CA. 5th November 2003.
[PDF]
- Energy-efficient Data Organization an Query
Processing in Sensor Networks.
In: Posters of the ACM Conference on Embedded Networked Sensor Systems
Baltimore, MD. 3-5th November 2004.
[PDF]
Software
Useful Links
See my friends
Things I also do
Last Modified: 02 April 2007