• DREAM
• Program Context Based Prediction
• User Behavior Based Prediction
• Energy-Relibility of Devices
• Sensor-Enabled Devices
• DREAM Team
• Sponsors

Program-Context-Based Prediction

Program Counters (PCs) provide a convenient means of capturing the context of program execution. While PC-based techniques have been used for performance optimizations at the architectural level, PC-based prediction for resource management in operating systems has not been fully explored. We continue to investigate potential applications of PC-based predictions in resource management in operating systems.

Papers

• IAMEM: Interaction-Aware Memory Energy Management
  Mingsong Bi, Srinivasan Chandrasekharan, and Chris Gniady
  USENIX 2013 Annual Technical Conference (ATC), 2013.

• Network-Aware Program-Counter-Based Disk Energy Management
  Igor Crk, Chris Gniady.
  In Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). 2009.

• Program Counter-Based Prediction Techniques for Dynamic Power Management.
  Chris Gniady, Ali R. Butt, Y. Charlie Hu, and Yung-Hsiang Lu.
  In IEEE Transactions on Computers, page 641-658, Vol. 55 (6), June 2006.

• Program Counter Based Pattern Classification in Buffer Caching
  Chris Gniady, and Ali R. Butt, Y. Charlie Hu
  Symposium on Operating Systems Design and Implementation (OSDI), December 2004.

• Program Counter Based Techniques for Dynamic Power Management
  Chris Gniady, Y. Charlie Hu, and Yung-Hsiang Lu
  IEEE International Symposium on High-Performance Computer Architecture (HPCA), February 2004.