An Integrated Approach for Applying Dynamic Voltage Scaling to Hard Real-Time Systems
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Maximizing the system value while satisfying time and energy constraints
IBM Journal of Research and Development
Feedback EDF scheduling exploiting hardware-assisted asynchronous dynamic voltage scaling
LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Multi-version scheduling in rechargeable energy-aware real-time systems
Journal of Embedded Computing - Real-Time Systems (Euromicro RTS-03)
DVSleak: combining leakage reduction and voltage scaling in feedback EDF scheduling
Proceedings of the 2007 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Utility Accrual Real-Time Scheduling Under the Unimodal Arbitrary Arrival Model with Energy Bounds
IEEE Transactions on Computers
Adaptive Fair Resource Allocation for Energy and QoS Trade-Off Management
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Parametric timing analysis and its application to dynamic voltage scaling
ACM Transactions on Embedded Computing Systems (TECS)
Network-wide energy optimization for adaptive embedded systems
ACM SIGBED Review
Hi-index | 0.00 |
We consider a resource synthesis technique for real-time systems where the energy budget is limited and the performance of the system depends on how resources and energy are used. We consider two performance models for a task: (1) a task has variable execution time and performance of a task depends on the amount of execution time received and (2) the execution time of a task is constant and the performance of a task depends on its frequency. We first propose an optimal resource synthesis technique which maximizes the system performance without energy constraints. We prove its optimality with the earliest deadline first (EDF) scheduling policy when the performance function of a task is non-decreasing and concave. We propose an energy-aware resource allocation technique for systems with energy constraints using the same analytical framework. The energy-aware resource synthesis technique considers both resource usage and energy consumption to find a near optimal solution that maximizes system performance within the energy budget.