Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Real-Time Systems
Energy management for real-time embedded applications with compiler support
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
Practical Voltage-Scaling for Fixed-Priority RT-Systems
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Processor Voltage Scheduling for Real-Time Tasks with Non-Preemptible Sections
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Rate Monotonic Analysis: The Hyperbolic Bound
IEEE Transactions on Computers
Energy-Efficient Synthesis of Periodic Task Systems upon Identical Multiprocessor Platforms
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Design of Energy-Efficient Application-Specific Instruction Set Processors
Design of Energy-Efficient Application-Specific Instruction Set Processors
An Efficient Algorithm for Computing Optimal Discrete Voltage Schedules
SIAM Journal on Computing
Impact of process variations on multicore performance symmetry
Proceedings of the conference on Design, automation and test in Europe
Minimizing CPU energy in real-time systems with discrete speed management
ACM Transactions on Embedded Computing Systems (TECS)
Partitioned Fixed-Priority Preemptive Scheduling for Multi-core Processors
ECRTS '09 Proceedings of the 2009 21st Euromicro Conference on Real-Time Systems
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
Real-Time Systems and Programming Languages: Ada, Real-Time Java and C/Real-Time POSIX
Real-Time Systems and Programming Languages: Ada, Real-Time Java and C/Real-Time POSIX
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Revisiting fixed priority techniques
EUC'07 Proceedings of the 2007 international conference on Embedded and ubiquitous computing
Utilization bound for periodic task set with composite deadline
Computers and Electrical Engineering
Energy-aware wireless systems with adaptive power-fidelity tradeoffs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dynamic repartitioning of real-time schedule on a multicore processor for energy efficiency
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Optimal task execution times for periodic tasks using nonlinear constrained optimization
The Journal of Supercomputing
Lowest priority first based feasibility analysis of real-time systems
Journal of Parallel and Distributed Computing
Improving execution unit occupancy on SMT-based processors through hardware-aware thread scheduling
Future Generation Computer Systems
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More computational power is offered by current real-time systems to cope with CPU intensive applications. However, this facility comes at the price of more energy consumption and eventually higher heat dissipation. As a remedy, these issues are being encountered by adjusting the system speed on the fly so that application deadlines are respected and also, the overall system energy consumption is reduced. In addition, the current state of the art of multi-core technology opens further research opportunities for energy reduction through power efficient scheduling. However, the multi-core front is relatively unexplored from the perspective of task scheduling. To the best of our knowledge, very little is known as of yet to integrate power efficiency component into real-time scheduling theory that is tailored for multi-core platforms. In this paper, we first propose a technique to find the lowest core speed to schedule individual tasks. The proposed technique is experimentally evaluated and the results show the supremacy of our test over the existing counterparts. Following that, the lightest task shifting policy is adapted for balancing core utilization, which is utilized to determine the uniform system speed for a given task set. The aforementioned guarantees that: (i) all the tasks fulfill their deadlines and (ii) the overall system energy consumption is reduced.