Abstract
Information dissemination is of increasing importance to our society. Existing work mainly focuses on delivering information from sources to sinks in a timely manner based on established subscriptions, with the assumption that those subscriptions are persistent. However, the bottleneck of many information dissemination systems is actually the matching process to continuously reevaluate such subscriptions between numerous sources and numerous sinks, in response to dynamically varying information attributes at runtime. In this paper, we propose an adaptive control architecture to meet the response time constraints on metadata matching in an example information dissemination system. Our adaptive controller features a rigorous design based on well-established control theory for guaranteed control accuracy and system stability. Furthermore, our controller can adapt to changes in the system model without reconfiguration and profiling. Empirical results on a physical testbed demonstrate that our controller has more accurate control and improved system quality of service than both an open-loop solution and a typical heuristic solution.
| Original language | English |
|---|---|
| Pages (from-to) | 412-425 |
| Number of pages | 14 |
| Journal | Journal of Systems Architecture |
| Volume | 58 |
| Issue number | 10 |
| DOIs | |
| State | Published - Nov 2012 |
Funding
This research is supported in part by NSF under Grants CNS-0845390 and CNS- 0720663 and by a subcontract from the Department of Homeland Security-sponsored Southeast Region Research Initiative (SERRI) at the National Nuclear Security Administration’s Y-12 National Security Complex, and by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory under Contract No. DE-AC05–00OR22725. We would also like to thank Dieter Gawlick at Oracle Corporation for his help with the INFOD system. Xiaorui Wang received the PhD degree from Washington University in St. Louis in 2006. He is an associate professor in the Department of Electrical and Computer Engineering at The Ohio State University. He is the recipient of the US Office of Naval Research (ONR) Young Investigator (YIP) Award in 2011, the US National Science Foundation (NSF) CAREER Award in 2009, the Power-Aware Computing Award from Microsoft Research in 2008, and the IBM Real-Time Innovation Award in 2007. He also received the Best Paper Award from the 29th IEEE Real-Time Systems Symposium (RTSS) in 2008. He is an author or coauthor of more than 60 refereed publications. From 2006 to 2011, he was an assistant professor at the University of Tennessee, Knoxville, where he received the EECS Early Career Development Award, the Chancellor’s Award for Professional Promise, and the College of Engineering Research Fellow Award in 2008, 2009, and 2010, respectively. In 2005, he worked at the IBM Austin Research Laboratory, designing power control algorithms for high-density computer servers. From 1998 to 2001, he was a senior software engineer and then a project manager at Huawei Technologies Co. Ltd., China, developing distributed management systems for optical networks. His research interests include power-aware computer systems and architecture, real-time embedded systems, and cyber-physical systems. Hairong Qi is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She received her Ph.D. degree in Computer Engineering from North Carolina State University (NCSU) in 1999, B.S. and M.S. degrees in Computer Science from Northern JiaoTong University, Beijing, P.R. China in 1992 and 1995 respectively. From 1995 to 1999, she worked at the Center for Robotics and Intelligent Machines (CRIM) and the Center for Advanced Computing and Communication (CACC) at NCSU. Her research then focused on multi-sensor data fusion, image processing and computer vision. Her current research projects are in the areas of collaborative processing in sensor networks, hyperspectral image analysis, and automatic target recognition. Her research is supported by NSF, DARPA, ONR, U.S. Army Space and Missile Defense Command, and U.S. Army Medical Research and Materiel Command. She is the recipient of the NSF CAREER Award, Chancellor’s Award for Professional Promise in Research and Creative Achievement, Allen & Hoshall Engineering Faculty Award from UT College of Engineering (COE), the Leon and Nancy Cole Superior Teaching Award from UT COE, and the Science Alliance Faculty Award from UT and Oak Ridge National Lab. She has published around 100 technical papers in archival journals and refereed conference proceedings, including a co-authored book in Machine Vision. She serves on the editorial board of Sensor Letters and Journal of Mechanics in Medicine and Biology. She is also the Associate Editor for Computers in Biology and Medicine. She co-edited a special issue on Distributed Sensor Networks for Real-Time Systems with Adaptive Reconfiguration of Journal of Franklin Institute. Dr. Qi is a senior member of IEEE and a member of Sigma Xi.
Keywords
- Adaptive control
- Feedback control
- Information dissemination
- Metadata matching
- Real-time systems
- Response time