Moo-Ryong Ra

Short Bio & Research Interest

• I am a systems researcher (Principal Inventive Scientist) in Cloud Platform Software Research department at AT&T Labs Research. I am broadly interested in the topics in the area of systems and networking. In AT&T, most of my projects are related to the cloud infrastructure design and architecture with an emphasis on (distributed) storage systems. The list includes, but not limited to, deployable software-defined storage solutions for AT&T Integrated Cloud and Edge Cloud, high performance storage with SSDs and RDMA transport, optimizing video storage and delivery (OTT video delivery solution with in-house CDN), storage performance/capacity optimization with specialized hardware and software-based data reduction techniques, such as erasure coding and data deduplication.
  
  I earned a Ph.D. degree from the Computer Science Department at University of Southern California (USC) in 2013. Prior to that, I received an M.S. degree from the same school(USC) in 2008 and a B.S. degree from Seoul National University in 2005, both from the Electrical Engineering Department. During my PhD (before joining AT&T), I had built several interesting cloud-enabled mobile systems: a privacy-preserving photo sharing systems [P3, NSDI'13], which has been commercialized, a high-level programming systems for crowd-sensing tasks [Medusa, MobiSys'12], a runtime that enables demanding mobile applications by offloading computation to the cloud [Odessa, MobiSys'11], and a smart network interface selection system and associated algorithm that can tradeoff energy and delay by intelligently deferring transmission opportunities [SALSA, MobiSys'10].
  

Publications ( Google Scholar, DBLP )

• Moo-Ryong Ra
  • "Understanding the Performance of Ceph Block Storage for Hyper-Converged Cloud
  • with All Flash Storage",
  • Technical Report (arxiv.org), 2018, [techrep], [openstack-summit-talk]
• Shijing Li, Tian Lan, Moo-Ryong Ra, and Rajesh Panta
  • "S3: Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage",
  • 37th IEEE International Conference on Distributed Computing Systems (ICDCS), 2017, [paper], [techrep]
• Moo-Ryong Ra, Seungjoon Lee, Emiliano Miluzzo, and Eric Zavesky
  • "Do Not Capture: Automated Obscurity for Pervasive Imaging",
  • IEEE Internet Computing 21(3):82-87, 2017, [paper]
• Yi-Hsuan Kao, Bhaskar Krishnamachari, Moo-Ryong Ra, and Fan Bai
  • "Hermes: Latency Optimal Task Assignment for Resource-constrained Mobile Computing",
  • IEEE Transactions on Mobile Computing (TMC), 16(11): 3056-3069, 2017, [paper]
• Chin-Jung Hsu, Rajesh Panta, Moo-Ryong Ra, and Vincent W. Freeh
  • "Inside Out: Reliable Performance Prediction for Distributed Storage Systems in the Cloud",
  • 35th Symposium on Reliable Distributed Systems (SRDS), 2016, [paper] (Best Paper Award), [techrep]
• Hee Won Lee and Moo-Ryong Ra
  • "MIST: Mitigating Host-side Interference for Storage Traffic in Virtualized Data Centers",
  • 9th IEEE International Conference on Cloud Computing (CLOUD), 2016, [paper] (Best Paper Runner-Up), [techrep]
• Subrata Mitra, Rajesh Panta, Moo-Ryong Ra, and Saurabh Bagchi
  • "Partial-Parallel-Repair (PPR): A Distributed Technique for Repairing Erasure Coded Storage",
  • 11th ACM European Conference on Computer Systems (EuroSys), 2016, [paper]
• Shijing Li, Tian Lan, Moo-Ryong Ra, and Rajesh Panta
  • "Background Traffic Optimization for Meeting Deadlines in Data Center Storage",
  • 50th Annual Conference on Information Sciences and Systems (CISS) 2016, [paper]
• Yi-Hsuan Kao, Bhaskar Krishnamachari, Moo-Ryong Ra, and Fan Bai
  • "Hermes: Latency Optimal Task Assignment for Resource-constrained Mobile Computing",
  • IEEE Conference on Computer Communications (INFOCOM) 2015, [paper]
• Bo Han, Feng Qian, and Moo-Ryong Ra (equal contribution)
  • "Human-Assisted Positioning Using Textual Signs",
  • 16th International Workshop on Mobile Computing Systems and Applications (HotMobile) 2015, [paper]
  Moo-Ryong Ra
  • "Mobile Videos: Where Are We Headed?",
  • IEEE Internet Computing, January/February 2015 (invited article), [paper]
• Moo-Ryong Ra
  • "Cloud-Enabled Mobile Sensing Systems",
  • Ph.D. Thesis, June 2013, [paper]
• Moo-Ryong Ra, Ramesh Govindan, and Antonio Ortega
  • "P3: Toward Privacy-Preserving Photo Sharing",
  • USENIX NSDI 2013, [paper] [slide] [poster] [techrep] [talk]
  • Media Coverage: [Frontline] [TorontoStar] [Allfacebook] [NeonTommy] [Futurity] [Examiner] [DailyTrojan] [TechNewsDaily] [ABC.es(Spanish)] [Guokr.com(Chinese)]
• Moo-Ryong Ra, Bodhi Priyantha, Aman Kansal, and Jie Liu
  • "Improving Energy Efficiency of Personal Sensing Applications with Heterogeneous Multi-Processors",
  • ACM Ubicomp 2012, [paper]
• Moo-Ryong Ra, Bin Liu, Tom La Porta, and Ramesh Govindan
  • "Medusa: A Programming Framework for Crowd-Sensing Applications",
  • ACM MobiSys 2012, [paper] [slide] [poster] [code] [video]
• Moo-Ryong Ra, Anmol Sheth, Lily M. Mummert, Padmanabhan Pillai, David Wetherall, and Ramesh Govindan
  • "Odessa: Enabling Interactive Perception Applications on Mobile Devices",
  • ACM MobiSys 2011, [paper] [slide] [poster]
• Moo-Ryong Ra, Jeongyeup Paek, Abhishek B. Sharma, Ramesh Govindan, Martin H. Krieger, and Michael J. Neely
  • "Energy-Delay Tradeoffs in Smartphone Applications",
  • ACM MobiSys 2010, [paper] [slide] [poster]

---

Initially created: Oct. 8th, 2007 , Last Modified: Feb. 3rd, 2016