Improving networked-computing efficiencies
Computers now operate in a connected, often mobile world. Our research into operating systems, networks, and distributed computing is focused on developing technologies that enable computers to operate more effectively in a networked environment, and that provide the infrastructure required to enable the deployment, operation, management, and security of distributed applications.
Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, and Wenguang Chen, ImmortalGraph: A System for Storage and Analysis of Temporal Graphs, in ACM Transactions on Storage (TOS), ACM – Association for Computing Machinery, December 2015.
Jian Huang, Anirudh Badam, Ranveer Chandra, and Ed Nightingale, WearDrive: Fast and Energy-Efficient Storage for Wearables, in ATC'15, USENIX, July 2015.
Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Fumarola, Solom Heddaya, Raghu Ramakrishnan, and Sarvesh Sakalanaga, Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters , in USENIX Annual Technical Conference (USENIX ATC'2015), USENIX – Advanced Computing Systems Association, July 2015.
Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, and Thomas Moscibroda, Memory-Centric Data Storage for Mobile Systems, in ATC (Annual Technical Conference), USENIX – Advanced Computing Systems Association, July 2015.
Jian Huang, Anirudh Badam, Moinuddin K. Qureshi, and Karsten Schwann, Unified Address Translation for Memory-Mapped SSDs with FlashMap, in ISCA'15, ACM/IEEE, June 2015.
- Microsoft Research Storage Toolkit
- Scalable Hyperlink Store
- Project Hawaii SDK for Android
- Project Hawaii SDK
- Compression Accelerators
- Ziria - Wireless Programming for Hardware Dummies
- MODIST: Transparent Model Checking of Unmodified Cloud Systems
- Rack-scale Computing
- Software-driven wide area networks
- Face In The Crowd
- Human-Building Analytics
- Contextual Fuzzing for Mobile App Testing
- WiFi-NC : WiFi using narrow channels