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2018:

  1. Sponsoring Mobile Data: Analyzing the Impact on Internet Stakeholders

    Carlee Joe-Wong, Soumya Sen, and Sangtae Ha,
    accepted in IEEE/ACM Transactions on Networking.

  2. [RFC8312] “CUBIC for Fast Long-Distance Networks”

    Injong Rhee, Lisong Xu, Sangtae Ha, Alexander Zimmermann, Lars Eggert, and Richard Scheffenegger,
    DOI: 10.17487/RFC8312, February 2018.

  3. A Practical Evaluation of Rate Adaptation Algorithms in HTTP-based Adaptive Streaming

    Ibrahim Ayad, Youngbin Im, Eric Keller, and Sangtae Ha,
    Elsevier Computer Networks 2018.

  4. SNN-Cache: A Practical Machine Learning-based Caching System Utilizing the Inter-relationships of Requests

    Youngbin Im, Prasanth Prahladan, Tae Hwan Kim, Yong Geun Hong, and Sangtae Ha,
    CISS 2018.

  5. Virtual Redundancy for Active-Standby Cloud Applications

    Gueyoung Jung, Parisa Rahimzadeh, Zhang Liu, Sangtae Ha, Kaustubh Joshi, and Matti Hiltunen,
    IEEE INFOCOM 2018 (309 out of 1606 = 19.2% acceptance rate).

2017:

  1. Towards a distributed computing model for fog,

    T. Jeong, J. Chung, J. Hong and S. Ha,
    Fog World Congress, Santa Clara, CA, Oct 30-Nov 1, 2017.

  2. Calibrating Time-variant, Device-specific Phase Noise for COTS WiFi Devices,

    Jincao Zhu, Youngbin Im, Shivakant Mishra, and Sangtae Ha,
    ACM Sensys 2017 (17.4% acceptance rate).

  3. FLARE: Coordinated Rate Adaptation for HTTP Adaptive Streaming in Cellular Networks,

    Y. Im, J. Lee, J. Han, Y. Kwon, C. Joe-Wong, T. Kwon and S. Ha,
    IEEE ICDCS 2017 (90 out of 531 = 16.94% acceptance rate).

  4. Fog Computing and Networking: Part 2 [Guest editorial]

    M. Chiang, S. Ha, C. I, F. Risso and T. Zhang,
    IEEE Communications Magazine, August, 2017.

  5. SVC-TChain: Incentivizing Good Behavior in Layered P2P Video Streaming,

    P. Rahimzadeh, C. Joe-Wong, K. Shin, Y. Im, J. Lee and S. Ha,
    IEEE INFOCOM 2017 (292 out of 1395 = 20.93% acceptance rate).

  6. T-Chain: General Incentive Scheme for Cooperative Computing,

    K. Shin, C. Joe-Wong, S. Ha, Y. Yi, I. Rhee and D. Reeves,
    IEEE/ACM Transactions on Networking, vol. 25, no. 4, pp. 2122-2137, August, 2017.

  7. FluidMem: Memory as a Service for the Datacenter,

    Blake Caldwell, Youngbin Im, Sangtae Ha, Richard Han, and Eric Keller,
    Tech Report, arXiv:1707.07780 [cs.OS]. July 2017.

  8. Fog Computing and Networking: Part 1 [Guest editorial],

    M. Chiang, S. Ha, C. I, F. Risso and T. Zhang,
    IEEE Communications Magazine, April, 2017.

  9. Clarifying Fog Computing and Networking: 10 Questions and Answers,

    M. Chiang, S. Ha, C. I, F. Risso and T. Zhang,
    IEEE Communications Magazine, April, 2017.

  10. Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading,

    L. Zhang, C. Joe-Wong, C. Tan, S. Ha and M. Chiang,
    IEEE JSAC Special Issue on Human-In-The-Loop Mobile Networks, vol. 35, no. 4, pp. 949-963, April, 2017.

  11. Smart Data Pricing in 5G Systems,

    C. Joe-Wong, L. Zhang, S. Ha, S. Sen, C. Tan and M. Chiang,
    Key Technologies for 5G Wireless Systems, Cambridge University Press, pp. 478-500, April, 2017.

  12. Mind Your Own Bandwidth,

    C. Joe-Wong, S. Ha, Z. Liu, F. Wong and M. Chiang,
    Fog for 5G and IoT, Wiley & Sons, pp. 24-51, April, 2017.

2016:

  1. Optimal Sleeping: models and experiments for energy-delay tradeoff

    I. Kamitsos, S. Ha, L. Andrew, J. Bawa, D. Butnariu, H. Kim and M. Chiang,
    International Journal of Systems Science: Operations & Logitics, June 2016.

  2. AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs

    Y. Im, C. Joe-Wong, S. Ha, S. Sen, T. Kwon and M. Chiang,
    IEEE Transcations on Mobile Computing (TMC), May 2016.

  3. A Performance Analysis of Incentive Mechanism for Cooperative Computing

    C. Joe-Wong, Y. Im, K. Shin, and S. Ha,
    IEEE ICDCS June 2016 (68 out of 386 = 17.6% acceptance rate).

  4. Viability of Virtual Cloud Providers

    L. Zheng, C. Joe-Wong, C. Brinton, C. Tan, S. Ha, and M. Chiang,
    ACM Sigmetrics, June 2016 (28 out 208 = 13.46% acceptance rate).

  5. Innovation in Network Pricing

    M. Andrews, M. Chiang, S. Ha, J. Huang and S. Sen,
    IEEE Networks, 30 (2), March, 2016.

  6. Time-Dependent Pricing in Mobile Data Plans: Results from a Field Deployment in Alaska

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    Workshop on Information Technology and Systems (WITS), 2016.

  7. Mitigating Network Resurce Abuses and DDoS attaks with Client Puzzle based Software-Defined Networks

    Z. Liu, E. Keller, and S. Ha,
    USENIX Network Systems Design and Implementation (NSDI), Poster Session, Santa Clara, CA, March 2016.

2015:

  1. Smart Data Pricing

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    Communications of the ACM, vol 58, issue 12, Dec 2015.

  2. Energy Efficient DSL Broadband Access via Stable Sleep Mode Optimization

    I. Kamitsos, P. Tsiaflakis, S. Ha and M. Chiang ,
    IEEE Transactions on Communications, vol. 63, no. 12, pp. 5116-5127, Dec. 2015.

  3. A Management Archiecture for Client-Defined Cloud Storage Services

    J. Chung, S. Ha and J. Hong,
    International Journal of Network Management, vol 25, issue 6, pp435-453, 2015.

  4. Inter-Datacenter Job Routing and Scheduling with Variable Costs and Deadlines

    C. Joe-Wong, I. Kamitsos and S. Ha,
    IEEE Transactions on Smart Grid, vol. 6, no. 6, pp. 2669-2680, Nov. 2015.

  5. Do Mobile Data Plans Affect Usage? Results from a Pricing Trial with ISP Customers

    C. Joe-Wong, S. Sen and S. Ha,
    Passive and Active Measurement Conference (PAM), 2015 (27% acceptance rate).

  6. Improving User QoE for Residential Broadband: Adaptive Traffic Management at the Network Edge

    F. Wong, C. Joe-Wong, S. Ha, Z. Liu and M. Chiang,
    IEEE/ACM IWQoS, 2015 (20 out of 89 = 22.5% acceptance rate).

  7. T-Chain: General Incentive Scheme for Cooperative Computing

    K. Shin, C. Joe-Wong, S. Ha, Y. Yi, I. Rhee and D. Reeves,
    IEEE ICDCS 2015 (70 out of 543 = 12.89% acceptance rate).

  8. Secondary Markets for Mobile Data: Feasibility and Benefits of Traded Data Plans

    L. Zheng, C. Joe-Wong, C. W. Tan, S. Ha, and M. Chiang,
    IEEE INFOCOM 2015 (316 out of 1640 = 19% acceptance rate).

  9. CYRUS: Towards Client-Defined Cloud Storage

    J. Chung, C. Joe-Wong, S. Ha, J. Hong and M. Chiang,
    ACM EuroSys 2015 (32 out of 150 = 21.33% acceptance rate).

  10. Sponsoring Mobile Data: An Economic Analysis of the Impact on Users and Content Providers

    C. Joe-Wong, S. Ha, and M. Chiang,
    IEEE INFOCOM 2015 (316 out of 1640 = 19% acceptance rate).

  11. Automatically Freezing Live Video for Annotation during Remote Collaboration

    S. Kim, G. Lee, S. Ha, N. Sakata and M. Billinghurst,
    Work In Progress, ACM CHI, 2015.

2014:

  1. Individualization for Education at Scale: MIIC Design and Preliminary Evaluation

    C. Brinton, R. Rill, S. Ha, M. Chiang, R. Smith and W. Ju,
    IEEE Transactions on Learning Technologies,Nov. 2014

  2. Smart Data Pricing

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang, (eds.)
    Wiley and Sons, Sept. 2014

  3. Chapter 6: Human Factors in Smart Data Pricing

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang, (eds.)
    Wiley and Sons, Sept. 2014

  4. Offering Supplementary Network Technologies: Adoption Behavior and Offloading Benefits

    C. Joe-Wong, S. Sen and S. Ha,
    IEEE Transactions on Networking, 2014

2013:

  1. Scalable Multi-Class Traffic Management in Data Center Backbone Networks

    A. Ghosh, S. Ha, E. Crabbe and J. Rexford,
    IEEE Journal on Selected Areas in Communications, 2013

  2. Smart Data Pricing (SDP): Economic Solutions to Network Congestion

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    SIGCOMM eBook on Recent Advances in Networking, Volume I, 2013.

  3. A Survey of Broadband Data Pricing: Past Proposals, Current Plans, and Future Trends

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    ACM Computing Surveys 2013

  4. When the Pricing is Right: Enabling Time-Dependent Pricing for Broadband Networks

    S. Sen, C. Joe-Wong, S. Ha, J. Bawa and M. Chiang,
    ACM SIGCHI 2013

  5. Offering Supplementary Wireless Technologies: Adoption Behavior and Offloading Benefits

    C. Joe-Wong, S. Sen and S. Ha,
    IEEE INFOCOM 2013, Turin, Italy

  6. AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs

    Y. Im, C. Joe-Wong, S. Ha, S. Sen, T. Kwon and M. Chiang,
    IEEE INFOCOM 2013 (mini-conference), Turin, Italy

  7. Smart Data Pricing: Lessons from Trial Planning

    M. Sheng, C. Joe-Wong, S. Ha, F. Wong and S. Sen,
    IEEE INFOCOM Workshop 2013 – Smart Data Pricing (in conjunction with IEEE INFOCOM 2013), Turin, Italy.

2012:

  1. The Economics of Shared Data Plans

    S. Sen, C. Joe-Wong and S. Ha,
    Workshop on Information Technologies and Systems (WITS) 2012

  2. Incentivizing Time-Shifting of Data: A Survey of Time-Dependent Pricing for Internet Access,

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    IEEE Communications Magazine, 2012

  3. TUBE: Time-Dependent Pricing for Mobile Data

    S. Ha, S. Sen, C. Joe-Wong, Y. Im and M. Chiang,
    ACM SIGCOMM, Helsinki,2012  PDF

  4. Energy Efficient DSL via Heterogeneous Sleeping States: Optimization Structures and Operational Guidelines

    I. Kamitsos, P. Tsiaflakis, K. Kerpez, S.Ha and M. Chiang,
    IEEE Globecom, 2012

  5. Optimized Day-Ahead Pricing for the Smart-Grid with Device-Specific Scheduling Flexibility

    C. Joe-Wong, S. Sen, S. Ha and M. Chiang,
    IEEE Journal on Selected Areas in Communications, JSAC Smart Grid Series, July 2012

  6. Demo: A System for Time-Dependent Pricing

    S. Ha, S. Sen, C. Joe-Wong, R. Rill and M. Chiang
    MobiSys demo, Low Wood Bay, UK, 2012.YouTube Video

  7. Iterative Resource Pooling for Bandwidth Allocation in TDM-PON: Algorithm, Convergence and Experimental Evaluation

    H. Kim, S. Ha, M. Chiang, D. Kang and J. Kim,
    Photonic Network Communications, Feb. 2012.

  8. Pricing Data: A Look at Past Proposals, Current Plans, and Future Trends

    S. Sen, C. Joe-Wong, S. Ha and M. Chiang,
    ACM Computing Surveys, Jan 2012

  9. Pricing by Timing: Innovation Broadband Data Plans

    S. Ha, C. Joe-Wong, S. Sen and M. Chiang,
    SPIE OPTO Broadband Access Communication Technologies VI Conference, Paper 8282-12, San Francisco, Jan, 2012

  10. Joint VM Placement and Routing for Data Center Traffic Engineering

    J. Jiang, T. Lan, S. Ha, M. Chen and M. Chiang,
    IEEE INFOCOM mini conference, Orlando, Florida, 2012

  11. Demo: Pricing by Timing of Mobile Data

    S. Ha, S. Sen, C. Joe-Wong, J. Mifkovich, R. Rill, Y. Im, D. Butnariu, J. Bawa and Mung Chiang
    IEEE INFOCOM demo, Orlando, Florida, 2012.

  12. Better Energy-Delay Tradeoff via Server Resource Pooling

    I. Kamitsos, L. Andrew, H. Kim, S. Ha and M. Chiang
    ICNC 2012 (Invited).

  13. Energy Efficient DSL via Heterogeneous Sleeping States: Optimization Structures and Operational Guidelines

    I. Kamitsos, P. Tsiaflakis, K. Kerpez, S.Ha and M. Chiang,
    IEEE Globecom, 2012

2011:

  1. Stable Sleeping in DSL Broadband Access: Feasibility and Tradeoffs

    I. Kamitsos, P. Tsiaflakis, S. Ha and M. Chiang
    IEEE Globecom 2011.

  2. Augment SCTP Multi-Streaming with Pluggable Scheduling

    Y. Wang, I. Rhee and S. Ha ,
    IEEE INFOCOM Workshops (GI 2011), Shanghai, China

  3. Time-Dependent Internet Pricing

    C. Joe-Wong, S. Ha and M. Chiang
    ITA 2011.

  4. Time-Dependent Broadband Pricing: Feasibility and Benefits

    C. Joe-Wong, S. Ha and M. Chiang,
    ICDCS 2011.

  5. Taming the Elephants: New TCP Slow Start

    S. Ha and I. Rhee,
    Computer Networks: The International Journal of Computer and Telecommunications Networking, 2011.  Technical Report  Errata  Patch.  Recent results.

2010:

  1. Pricing Broadband: Survey and Open Problems

    M. Chiang, P. Hande, H. Kim, S. Ha and R. Calderbank,
    ICUFN 2010 (invited).

2009:

  1. DiffQ: Differential Backlog Congestion Control for Multi-hop Wireless Networks

    A. Warrier, S. Janakiraman, S. Ha and I. Rhee,
    IEEE INFOCOM 2009 PDF  Technical Report YouTube Video

  2. Stochastic convex ordering for multiplicative decrease internet congestion control

    H. Cai, D. Eun, S. Ha, I. Rhee and L. Xu,
    Computer Networks: The International Journal of Computer and Telecommunications Networks,2009 PDF.

2008:

  1. CUBIC: A New TCP-Friendly High-Speed TCP Variant

    S. Ha, I. Rhee and L. Xu,
    ACM SIGOPS Operating System Review, Volume 42, Issue  July 2008, PDF

  2.  CUBIC for Fast Long-Distance Networks

    I. Rhee, L. Xu and S. Ha, ,
    IETF Internet Draft, 2008 draft-rhee-tcpm-cubic-02.txt

  3. Hybrid Slow Start for High-Bandwidth and Long-Distance Networks

    S. Ha and I. Rhee,
    PFLDnet, Manchester, UK, 2008. PDF  Slides

  4. Towards a Common TCP Evaluation Suite

    L. Andrew, C. Marcondes, S. Floyd, L. Dunn, R. Guillier, W. Gang, L. Eggert, S. Ha and I. Rhee,
    PFLDnet, Manchester, UK, 2008. PDF

  5. DiffQ: Differential Backlog Congestion Control for Multi-hop Wireless Networks

    A. Warrier, S. Ha, P. Wason, I. Rhee and J. H. Kim, Demo,
    IEEE SECON 2008 PDF

  6. TCP Problem under high bandwidth delay product networks – Demo III (B)

    S. Ha, A. Warrier and I. Rhee,
    The Future of TCP: Train-wreck or Evolution?, Stanford University, Stanford, CA, 2008 HTML.

2007:

  1. Impact of Background Traffic on Performance of High-Speed TCP Variant Protocols

    S. Ha, L. Le, I. Rhee and L. Xu,
    Computer Networks: The International Journal of Computer and Telecommunications Networking, Volume 15, Issue 4, Aug. 2007, Page(s):852-865, 2007.  PDF

  2. Stochastic Ordering for Internet Congestion Control and its Applications

    H. Cai, D. Eun, S. Ha, I. Rhee and L. Xu,
    IEEE INFOCOM 2007. PDF  Slides.

2006:

  1. A Step toward Realistic Performance Evaluation of High-Speed TCP Variants

    S. Ha, Y. Kim, L. Le, I. Rhee and L. Xu,
    PFLDnet, Nara, Japan, 2006  PDF  Slides

  2. A Step toward realistic evaluation of high-speed TCP protocols 

    S. Ha, Y. Kim, L. Le, I. Rhee and L. Xu,
    Web-based Technical Report, NCSU 2006 HTML  PDF.