The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Leakage power consumption contributes significantly to the overall power dissipation for systems that are manufactured in advanced deep sub-micron technology. Different from many previous results, this paper explores leakage-aware energy-efficient scheduling if leakage power consumption depends on temperature. We propose a pattern-based approach which divides a given time horizon into several time...
Dynamic voltage scaling (DVS) has been widely adopted to reduce the energy consumption resulting from the dynamic power of modern processors. However, while the leakage power resulting from the leakage current becomes significant, how to aggregate the idle time to turn processors to the sleep or dormant modes is crucial in reducing the overall energy consumption. Moreover, for systems with non-DVS...
In reality, peripheral devices often make a significant contribution to the power consumption of the entire system. An effective energy-efficient scheduling algorithm should consider not only the energy consumption of the processor but also the usages of devices. In this paper, we explore energy-efficient scheduling of periodic real-time tasks in a system with a dynamic-voltage-scaling (DVS) processor...
Power-aware and energy-efficient designs play important roles for modern hardware and software designs, especially for embedded systems. This paper targets a scheduling problem on a processor with the capability of dynamic voltage scaling (DVS), which could reduce the power consumption by slowing down the processor speed. The objective of the targeting problem is to minimize the average flow time...
In the past decades, a number of research results have been reported for energy-efficient task scheduling over uniprocessor and multiprocessor environments. While researchers have started the exploring of slack reclaiming for tasks during run time, little work has been done for multiprocessor cases. This paper proposes a set of multiprocessor energy-efficient task scheduling algorithms with different...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.