TY - GEN
T1 - Latency, power, and security optimization in distributed reconfigurable embedded systems
AU - Nam, Hyunsuk
AU - Lysecky, Roman
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/18
Y1 - 2016/7/18
N2 - Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.
AB - Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive network access within these systems, security is also a critical design concern. In this paper, we present a modeling and optimization framework for distributed reconfigurable embedded systems, which maps tasks on a distributed embedded system with the goal of optimizing latency, energy, and/or security across all computing and communication levels. The proposed modeling framework for dataflow applications integrates models for computational latency, security levels for inter-task and intra-task communication, communication latency, and power consumption. We evaluate the proposed methodology using a video-based object detection and tracking application.
KW - Co-design modeling
KW - Design space exploration
KW - Distributed embedded systems
KW - Dynamic optimization
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=84991669646&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991669646&partnerID=8YFLogxK
U2 - 10.1109/IPDPSW.2016.40
DO - 10.1109/IPDPSW.2016.40
M3 - Conference contribution
AN - SCOPUS:84991669646
T3 - Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016
SP - 124
EP - 131
BT - Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016
Y2 - 23 May 2016 through 27 May 2016
ER -