TEMPERATURE-AWARE TASK SCHEDULING IN MOBILE SYSTEMS: A SURVEY OF ALGORITHMS AND HARDWARE SOLUTIONS

Temperature-based task scheduling has become a relevant remedy to thermal safety without compromising performance and energy efficiency. Increasing complexity and performance needs of mobile and embedded processors have placed energy consumption and thermal stability as system design issues. The increased compactness and power of the devices cause a problem of too much heat being produced which might lead to reduced performance, low reliability and hardware short life. Here the strategy to alleviate such issues has come in the form of temperature-aware task scheduling, which has proven to be an effective way of optimizing task scheduling to address both performance and thermal limits. Through this survey, a rigorous survey of algorithmic as well as hardware-level approaches in thermal-aware scheduling is presented. It discusses both the techniques of static and dynamic schedules, such as heuristic scheduling and optimization programming and predictive scheduling. Lt also examines the hardware-enabled approaches like Dynamic Voltage and Frequency Scaling (DVFS), thermal sensors, and thermal throttling services. The application in real-life settings is also presented and remarks provided on the measures of performance applied to measure performance of scheduling strategies in the review. With the insight into the existing research and transforming trends, this paper seeks to convey an in-depth view of the space that is temperature-aware scheduling in mobile systems and direct the future advancement of thermally efficient designing systems.