TY - GEN
T1 - Compositional analysis framework using EDP resource models
AU - Easwaran, Arvind
AU - Anand, Madhukar
AU - Lee, Insup
PY - 2007
Y1 - 2007
N2 - Compositional schedulability analysis of hierarchical scheduling frameworks is a well studied problem, as it has wide-ranging applications in the embedded systems domain. Several techniques, such as periodic resource model based abstraction and composition, have been proposed for this problem. However these frameworks are sub-optimal because they incur bandwidth overhead. In this work, we introduce the Explicit Deadline Periodic (EDP) resource model, and present compositional analysis techniques under EDF and DM. We show that these techniques are bandwidth optimal, in that they do not incur any bandwidth overhead in abstraction or composition. Hence, this framework is more efficient when compared to existing approaches.
AB - Compositional schedulability analysis of hierarchical scheduling frameworks is a well studied problem, as it has wide-ranging applications in the embedded systems domain. Several techniques, such as periodic resource model based abstraction and composition, have been proposed for this problem. However these frameworks are sub-optimal because they incur bandwidth overhead. In this work, we introduce the Explicit Deadline Periodic (EDP) resource model, and present compositional analysis techniques under EDF and DM. We show that these techniques are bandwidth optimal, in that they do not incur any bandwidth overhead in abstraction or composition. Hence, this framework is more efficient when compared to existing approaches.
UR - http://www.scopus.com/inward/record.url?scp=48649083101&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48649083101&partnerID=8YFLogxK
U2 - 10.1109/RTSS.2007.36
DO - 10.1109/RTSS.2007.36
M3 - Conference contribution
AN - SCOPUS:48649083101
SN - 0769530621
SN - 9780769530628
T3 - Proceedings - Real-Time Systems Symposium
SP - 129
EP - 138
BT - Proceedings - 28th IEEE International Real-Time Systems Symposium, RTSS 2007
T2 - 28th IEEE International Real-Time Systems Symposium, RTSS 2007
Y2 - 3 December 2007 through 6 December 2007
ER -