Policies for dynamic clock scheduling

By Dirk Grunwald, P. Levis, Keith I. Farkas, C. B. Morrey, M. Neufeld. USENIX Symposium on Operating Systems Design and Implementation, 2000

322 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/04b603d84d73b64d6fe14bb828aa9e5eee6821ea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Carole-Jean Wu
Brandon Heller
Richard O. Han
D. Lowenthal
Vincent W. Freeh
S. Seetharaman
P. Sharma
S. Banerjee

Citations in the corpus

MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms (2005, background): “Prior work on power-efficient scheduling and systems should be leveraged [49],[50].”
ElasticTree: Saving Energy in Data Center Networks (2010, methodology): “We present ElasticTree, a network-wide power1 manager, which dynamically adjusts the set of active network elements — links and switches — to satisfy changing data center traffic loads.”
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems (2003, methodology): “In general, there are three prediction approaches: (1) monitoring average CPU utilization at periodic intervals [10, 15, 26, 34], (2) using application worst-case CPU demands [27, 28], and (3) using application runtime CPU usage [14, 23, 28].”
Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services (2008, methodology): “Dynamic Voltage/Frequency Scaling (DVFS) has been developed as a standard technique to achieve power efficiency of processors [19, 13, 17].”
Dynamic voltage scaling on a low-power microprocessor (2001, result): “This observation is con rmed by recent experimental work on the ARM8 [18] and Itsy [7], and matches the (poor) performance results obtained by the interval-based scheduler developed for the LART when running the H.”
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs (2005, background): “Interms of research on device-speciﬁc energy savings, there is work in the CPU via dynamic voltage scaling ( e.g. , [14, 34, 18]), the disk via spindown ( e.g. , [22, 10]), and on the memory or network ( e.g. , [28, 26]).”
Improving smartphone user experience by balancing performance and energy with probabilistic QoS guarantee (2016, background): “From this perspective, it is imperative to ensure user satisfaction even at the cost of additional power; however, due to ﬁnite energy capacity, it is not typically optimal for mobile platforms to sustain high performance states, and as this paper will demonstrate, providing guarantees on QoS…”
The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction (2003, background): “[15] shows noticeable performance loss in some of interval-based algorithms.”