Bicket, J. Bitrate Selection in Wireless Networks. MIT MS Thesis, 2005. pdf
Bicket, J., Aguayo, D., Biswas, S., and Morris, R. Architecture and Evaluation of an Unplanned 802.11b Mesh Network. In ACM MobiCom, Koeln, Germany, 2005. pdf
Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., and Bahl, P. MAUI: Making Smartphones Last Longer with Code Offload. In ACM MobiSys, San Francisco, CA, 2010. pdf
Dean, J. and Ghemawat, S. MapReduce: Simplified Data Processing on Large Clusters. In ACM/USENIX OSDI, San Francisco, CA, 2004. pdf
DeCandio, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pichlin, A., Sivasubramanian, S., Vosshall, P., and Vogels, W. Dynamo: Amazon's Highly Available Key-Value Store. In ACM SOSP, Stevenson, WA, 2007. pdf
Forney, G. D. Jr. The Viterbi Algorithm. Proceedings of the IEEE, 61(3), p. 268-278, March 1973. pdf
Gollakota, S., Perli, S., and Katabi, D. Interference Alignment and Cancellation. In ACM SIGCOMM, Barcelona, Spain, 2009. pdf
Halperin, D., Anderson, T., and Wetherall, D. Taking the Sting out of Carrier Sense: Interference Cancellation for Wireless LANs. In ACM MobiCom, San Francisco, CA, 2008. pdf
Halperin, D., Hu, W., Sheth, A., Wetherall, D. 802.11 with Multiple Antennas for Dummies. In ACM SIGCOMM Computer Communication Review, 2010. pdf
Karp, B. and Kung, H.T., GPSR: Greedy Perimeter Stateless Routing for Wireless Networks. In ACM MobiCom, Boston, MA, 2000. pdf
Kim, Y.-J., Govindan, R., Karp, B., and Shenker, S., Geographic Routing Made Practical. In USENIX NSDI, Boston, MA 2005. pdf
Miu, A., Balakrishnan, H., and Koksal, C. E. Improving Loss Resilience wih Multi-Radio Diversity in Wireless Networks. In ACM MobiCom, Cologne, Germany, 2005. pdf
Perry, J., Balakrishnan, H., and Shah, D. Rateless Spinal Codes. In ACM HotNets, Cambridge, MA, November 2011. pdf
Rai, A., Chintalapudi, K., Padmanabhan, V., Sen, R. Zee: Zero-Effort Crowdsourcing for Indoor Localization. In ACM MobiCom, Istanbul, Turkey, 2012. pdf
Ravindranath, L., Newport, C., Balakrishnan, H., and Madden, S., Improving Wireless Network Performance Using Sensor Hints. In USENIX/ACM NSDI, Boston, MA, 2011. pdf
Stoica, I., Morris, R., Karger, D., Kaashoek, M.F., and Balakrishnan, H. Chord: A Scalable Peer-to-Peer Lookup Service for Internet Applications. In ACM SIGCOMM, San Diego, CA, 2001. pdf
Thiagarajan, A., Ravindranath, L., LaCurts, K., Madden, S., Balakrishnan, H., Toledo, S., Eriksson, J. VTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones. In ACM SenSys, Berkeley, CA, 2009. pdf
Localizing mobile phones based on ambient sounds they hear:
Azizyan, M., Constandache, I., Choudhury, R. SurroundSense: Mobile
Phone Localization via Ambience Fingerprinting, in ACM MobiCom
2009. pdf (Reserved)
An application for detecting available parking spaces as you drive by them
and alerting other drivers:
Mathur, S., Jin, T., Katurirangan, N., Chandrashekharan, J., Xue, W.,
Gruteser, M., and Trappe, W., ParkNet: Drive-by Sensing of Road-Side
Parking Statistics, in ACM MobiSys 2010. pdf (Reserved)
An application that senses when phone users are near one another and
shares the information over social network sites like Facebook:
Miluzzo, E., Lane, N., Fodor, K., Peterson, R., Lu, H., Musolesi, M.,
Eisenman, S., Zheng, X., Campbell, A. Sensing Meets Mobile Social
Networks: The Design, Implementation, and Evaluation of the CenceMe
Application, in ACM SenSys 2008. pdf (Reserved)
Applying machine learning techniques to sensing and inference on
mobile phones:
Miluzzo, E., Cornelius, C., Ramaswamy, A., Choudhury, T., Liu, Z.,
Campbell, A. Darwin Phones: The Evolution of Sensing and Inference on
Mobile Phones, in ACM MobiSys 2010. pdf
(Reserved)
Using smartphones as virtual machine image caches to reduce
the volume of data that must be sent wirelessly when migrating a virtual
machine:
Smaldone, S., Gilbert, B., Bila, N., Iftode, L., de Lara, E., and
Satyanarayanan, M., Leveraging Smart Phones to Reduce Mobility
Footprints, in ACM MobiSys 2009. pdf (Reserved)
How to run dozens of virtualized PCs (virtual machines) on a single
physical PC:
Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A.,
Neugebauer, R., Pratt, I., and Warfield, A., Xen and the Art of Virtualization, in ACM SOSP 2003. pdf (Reserved)
The design of the storage system Facebook uses for photo data:
Beaver, D., Kumar, S., Li, H., Sobel, J., and Vajgel, P., Finding a
Needle in a Haystack: Facebook's Photo Storage, in USENIX OSDI
2010. pdf
(Reserved)
An assessment of how well Linux scales to a 48-core CPU when
running server workloads:
Boyd-Wickizer, S., Clements, A., Mao, Y., Pesterev, A., Kaashoek,
M.F., Morris, R., and Zeldovich, N., An Analysis of Linux Scalability
to Many Cores, in USENIX OSDI 2010. pdf
(Reserved)
One of Google's storage systems for very large datasets:
Chang, F., Dean, J., Ghemawat, S., Hsieh, W., Wallach, D., Burrows,
M., Chandra, T., Fikes, A., and Gruber, R., Bigtable: A Distributed
Storage System for Structured Data, in USENIX OSDI
2006. pdf
(Reserved)
To make a cloud-based storage system fast, keep all user data in RAM, while
using disks purely to ensure durability in the face of power failures:
Ongaro, D., Rumble, S., Stutsman, R, Ousterhout, J., and Rosenblum, M.,
Fast Crash Recovery in RAMCloud, in ACM SOSP 2011. pdf
(reserved)
How to predict Wi-Fi connectivity using Bluetooth signals and cell
towers:
Ananthanarayanan, G. and Stoica, I., Blue-Fi: Enhancing Wi-Fi
Performance Using Bluetooth Signals, in ACM MobiSys
2009. pdf (Reserved)
Synchronizing 802.11 transmissions to a very fine timescale:
Rahul, H., Hassanieh, H., Katabi, D. SourceSync: A Distributed
Wireless Architecture for Exploiting Sender Diversity, in ACM SIGCOMM
2010. pdf (Reserved)
Sharing the channel in frequency as well as with random access:
Tan, K., Zhang, Y. Chen, S., Shi, L., Zhang, J., Zhang, Y.
Fine-grained Channel Access in Wireless LAN, ACM SIGCOMM
2010. pdf
(Reserved)
Going beyond MRD to use soft information to combine
packets at multiple APs:
Woo, G., Kheradpour, P., Shen, D., Katabi, D. Beyond the Bits:
Cooperative Packet Recovery using Physical Layer Information, in
ACM MobiCom 2007. pdf
Allowing wideband networks to coexist with narrowband (802.11, Zigbee)
devices:
Rahul, H., Kushman, N., Katabi, D., Sodini, C., and Edalat, F., Learning to Share: Narrowband-Friendly Wideband Networks, in ACM SIGCOMM 2008.
pdf
(reserved)
A follow-on to SampleRate rate adaptation and related work:
Wong, S. H. Y., Yang, H., Lu, S., Bharghavan, V., Robust Rate
Adaptation in 802.11 Wireless Networks,
in ACM MobiCom 2006.
pdf
(reserved)
Using PHY-layer information to improve rate adaptation:
Vutukuru, M., Balakrishnan, H., Jamieson, K. Cross-Layer Wireless Bit
Rate Adaptation, in ACM SIGCOMM 2009. pdf
(reserved)