Energy‐aware scheduling mandatory/optional tasks in multicore real‐time systems
2017, International Transactions in Operational Research 24 (1-2), 173-198, 2017Citas: 22
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Autor(es)
Isabel Méndez‐Díaz and Javier Orozco and Rodrigo Santos and Paula Zabala
Abstract
Reward‐based scheduling of real‐time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP‐hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real‐time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using …
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| # | Año | #Citas | Título | Autores | Journal | Editor |
|---|---|---|---|---|---|---|
| 1 | 2023 | 37 | Energy-aware scheduling for high-performance computing systems: A survey | B Kocot, P Czarnul, J Proficz | Energies, 2023 | mdpi.com |
| 2 | 2018 | 38 | Energy-quality-time optimized task mapping on DVFS-enabled multicores | L Mo, A Kritikakou, O Sentieys | IEEE Transactions on …, 2018 | ieeexplore.ieee.org |
| 3 | 2022 | 7 | Approximation-Aware Task Deployment on Heterogeneous Multicore Platforms With DVFS | X Li, L Mo, A Kritikakou… | IEEE Transactions on …, 2022 | ieeexplore.ieee.org |
| 4 | 2018 | 25 | Controllable QoS for imprecise computation tasks on DVFS multicores with time and energy constraints | L Mo, A Kritikakou, O Sentieys | IEEE Journal on Emerging and …, 2018 | ieeexplore.ieee.org |
| 5 | 2021 | 9 | Prepare: P owe r-Awar e A p proximate Re a l-time Task Scheduling for Ene r gy-Adaptiv e QoS Maximization | S Chakraborty, S Saha, M Själander… | ACM Transactions on …, 2021 | dl.acm.org |
| 6 | 2022 | 4 | DELICIOUS: Deadline-aware approximate computing in cache-conscious multicore | S Saha, S Chakraborty, S Agarwal… | … on Parallel and …, 2022 | ieeexplore.ieee.org |
| 7 | 2019 | 19 | Approximation-aware task deployment on asymmetric multicore processors | L Mo, A Kritikakou, O Sentieys | … & Test in Europe Conference & …, 2019 | ieeexplore.ieee.org |
| 8 | 2025 | 0 | Self-aware decentralized security for real time approximate computing tasks in FPGA-based edge platforms | K Guha | The Journal of Supercomputing, 2025 | Springer |
| 9 | 2022 | 6 | ACCURATE: Accuracy Maximization for Real-Time Multicore Systems With Energy-Efficient Way-Sharing Caches | S Saha, S Chakraborty, X Zhai, S Ehsan… | … on Computer-Aided …, 2022 | ieeexplore.ieee.org |
| 10 | 2020 | 8 | A genetic algorithm-based tasks scheduling in multicore processors considering energy consumption | HV Zand, M Raji, H Pedram… | … Journal of Embedded …, 2020 | inderscienceonline.com |
| 11 | 2017 | 13 | Decomposed task mapping to maximize QoS in energy-constrained real-time multicores | L Mo, A Kritikakou, O Sentieys | 2017 IEEE International …, 2017 | ieeexplore.ieee.org |
| 12 | 2019 | 11 | Mapping imprecise computation tasks on cyber-physical systems | L Mo, A Kritikakou | Peer-to-Peer Networking and Applications, 2019 | Springer |
| 13 | 2022 | 3 | Flow Scheduling in Data Center Networks with Time and Energy Constraints: A Software-Defined Network Approach | M Fraga, M Micheletto, A Llinás, R Santos, P Zabala | Future Internet, 2022 | mdpi.com |
| 14 | 2020 | 11 | Real-time imprecise computation tasks mapping for DVFS-enabled networked systems | L Mo, A Kritikakou, O Sentieys… | IEEE Internet of Things …, 2020 | ieeexplore.ieee.org |
| 15 | 2022 | 1 | Real-time and reliable design for safety-critical embedded systems | A Kritikakou | 2022 | hal.science |
| 16 | 2021 | 2 | Energy-Efficient, Reliable and QoS-Aware Task Mapping on Cyber-Physical Systems | L Mo, A Kritikakou, X Li | 2021 | inria.hal.science |
| 17 | 2024 | 0 | Leveraging Dynamic Resource Management for Power Management and Fault Tolerance in High Performance Computing | J John | 2024 | mediatum.ub.tum.de |
| 18 | 2015 | 4 | Using bioinspired meta-heuristics to solve reward-based energy-aware mandatory/optional real-time tasks scheduling | M Micheletto, R Santos, J Orozco | 2015 Brazilian Symposium …, 2015 | ieeexplore.ieee.org |
| 19 | 2021 | 0 | Real-Time Scheduling: Background and Trends | K Guha, S Saha, A Chakrabarti, K Guha, S Saha… | Self Aware Security for …, 2021 | Springer |
| 20 | 2019 | 1 | Machine learning support energy aware efficient multiprocessors mapping of real time tasks | SM Habashy | … Journal of Computer Science Issues (IJCSI), 2019 | search.proquest.com |
| 21 | 2019 | 1 | RUN enhancement through Bayesian networks | JA Hermosillo-Gomez… | International Journal of …, 2019 | Taylor & Francis |
| 22 | 2018 | 0 | Imprecise Computation Task Mapping on Multi-Core Wireless Sensor Networks | L Mo, A Kritikakou, O Sentieys | Encyclopedia of Wireless …, 2018 | inria.hal.science |
| 23 | 2019 | 0 | Scheduling Mandatory-Optional Real-Time Tasks in Homogeneous Multi-Core Systems with Energy Constraints Using Bio-Inspired Meta-Heuristics | MJ Micheletto, RM Santos, JD Orozco | 2019 | notablesdelaciencia.conicet.gov.ar |
| 24 | 1 | SM Habashy | International Journal of Computer Applications |