Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases signi?cantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supplyvoltage and the clock frequency to operate on di?erent power/energy levels, is considered an e?ective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms.Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classi?es existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classi?cation,other sub-issues are also included, such as, slack reclamation, ?xed/dynamic priority scheduling, partition-based/global scheduling, and application-speci?c power consumption, etc. INDICE: Introduction.- System Model.- Scheduling on Homogeneous DVFS Multiprocessor Platforms.- Scheduling on Hetereogeneous DVFS Multiprocessor Systems.- Related Work.- Conclusion and Future Directions.
- ISBN: 978-1-4614-5223-2
- Editorial: Springer
- Encuadernacion: Rústica
- Fecha Publicación: 30/09/2012
- Nº Volúmenes: 1
- Idioma: Inglés