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
Chandra, R., Mahajan, R., Moscibroda, T., Raghavendra, R, and Bahl, V. A Case for Adapting Channel Width in Wireless Networks. In ACM SIGCOMM, Seattle, WA, 2007. 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
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
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
How to virtualize a smartphone, so that there are several virtual
smartphones running on one piece of smartphone hardware:
Andrus, J., Dall, C., Van't Hof, A., Laadan, O., and Nieh, J., Cells: A
Virtual Mobile Smartphone Architecture, in ACM SOSP 2011.
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)
A platform for enabling remote sensing with smartphones:
Das, T., Mohan, P., Padmanabhan, V. PRISM: Platform for Remote
Sensing Using Smartphones, in ACM MobiSys 2010. pdf
Access control for data and applications when sharing your phone
with another user:
Liu, Y., Rahmati, A., Huang, Y., Jang, H., Zhong, L., Zhang, Y.,
Zhang, S. xShare: Supporting Impromptu Sharing of Mobile Phones, in
ACM MobiSys 2009. pdf
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 to measure traffic congestion and road conditions,
making the measurements available to others:
Mohan, P., Padmanabhan, V., Ramjee, R. Nericell: Rich Monitoring of
Road and Traffic Conditions using Mobile Smartphones, in ACM SenSys
2008. pdf
A system that models a user's mobility patterns to predict which
type of network connectivity is available:
Nicholson, A., Noble, B. Breadcrumbs: Forecasting Mobile
Connectivity, in ACM MobiCom 2008. pdf
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)
Using humans to validate image search results:
Yan, T., Kumar, V., Ganesan, D. CrowdSearch: Exploiting Crowds for
Accurate Real-Time Image Search on Mobile Phones, in ACM MobiSys
2010. pdf
How to build a fast yet power-efficient key-value storage system out of a
cluster of low-end CPUs:
Andersen, D., Franklin, J., Kaminsky, M., Phanishayee, A., Tan, L., and Vasudevan, V., FAWN: A Fast Array of Wimpy Nodes, in ACM SOSP 2009. pdf
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)
How to build a really fast key-value storage system on a
multi-core server:
Mao, Y., Kohler, E., and Morris, R., Cache Craftiness for Fast Multicore
Key-Value Storage, in ACM EuroSys 2012. pdf
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)
Exploiting overhearing using network coding techniques:
Chachulski, S., Jennings, M., Katti, S., and Katabi, D. Trading
Structure for Randonmess in Wireless Opportunistic Routing, in ACM
SIGCOMM 2007.
pdf
Estimating the number of incorrect bits in a packet:
Chen, B., Zhou, Z., Zhao, Y., Yu, H. Efficient Error Estimating
Coding: Feasibility and Applications, in ACM SIGCOMM 2010.
pdf
A clever variation on interference cancellation that solves the hidden terminal problem:
Gollakota, S., and Katabi, D. ZigZag Decoding: Combating Hidden Terminals in Wireless Networks, in ACM SIGCOMM 2008.
pdf
Predicting packet delivery rate in an OFDM system:
Halperin, D., Hu, W., Sheth, A., Wetherall, D. Predictable 802.11
Packet Delivery from Wireless Channel Measurements, in ACM SIGCOMM
2010. pdf
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)
The design of a software-defined radio built using commodity
multi-core PCs:
Tan, K., Zhang, J., Fang, J., Liu, H., Ye, Y.,
Wang, S., Zhang, Y., Wu, H., Wang, W., Voelker, G. Sora: High
Performance Software Radio Using General Purpose Multi-core
Processors, in USENIX NSDI 2008. pdf
Boosting the capacity of wireless LANs by using spatial division
techniques to share the wireless channel:
Tan, K., Liu, H., Fang,
J., Wang, W., Zhang, J., Chen, M., Voelker, G. SAM: Enabling
Practical Spatial Multiple Access in Wireless LAN, in ACM MobiCom. pdf
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)
Distinguishing collisions from weak signals:
Rayanchu, S., Mishra, A., Agrawal, D., Saha, S., Banerjee, S.
Diagnosing Wireless Packet Losses in 802.11: Separating Collision from
Weak Signals, in IEEE INFOCOM 2008. 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)
Synopsis Diffusion: how to forward sensor readings over multiple
paths to a base station for robustness, without duplicating sensed
values:
Nath, S., Gibbons, P., Seshan, S., and Anderson, Z. Synopsis Diffusion
for Robust Aggregation in Sensor Networks, in ACM SenSys
2004. pdf