The performance and energy consumption of embedded real-time operating systems

Baynes, K.; Collins, Chris; Fiterman, Eric; Ganesh, Brinda; Kohout, Paul; Smit, Christine; Zhang, T.; Jacob, Bruce

doi:10.1109/tc.2003.1244943

Cited by 52 publications

(25 citation statements)

References 27 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in the multicore architectures, the proportion of the workload spent on the overhead diminishes to approximately 11%. This result also confirms the argumentation of another research [22] that using RTOS might result in significant overhead with respect to the useful application.…”

Section: Overhead Evaluationsupporting

confidence: 89%

See 1 more Smart Citation

A Low-Cost and Energy-Efficient Multiprocessor System-on-Chip for UWB MAC Layer

Xiao

Isshiki

Khan

et al. 2012

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYUltra-wideband (UWB) technology has attracted much attention recently due to its high data rate and low emission power. Its media access control (MAC) protocol, WiMedia MAC, promises a lot of facilities for high-speed and high-quality wireless communication. However, these benefits in turn involve a large amount of computational load, which challenges the traditional uniprocessor architecture based implementation method to provide the required performance. However, the constrained cost and power budget, on the other hand, makes using commercial multiprocessor solutions unrealistic. In this paper, a low-cost and energy-efficient multiprocessor system-on-chip (MPSoC), which tackles at once the aspects of system design, software migration and hardware architecture, is presented for the implementation of UWB MAC layer. Experimental results show that the proposed MPSoC, based on four simple RISC processors and shared-memory infrastructure, achieves up to 45% performance improvement and 65% power saving, but takes 15% less area than the uniprocessor implementation. key words: multiprocessor system-on-chip (MPSoC), ultra-wideband (UWB), medium access control (MAC), shared-memory

show abstract

Section: Overhead Evaluationsupporting

confidence: 89%

“…And if any task needs to be suspended or resumed, context must be stored and restored respectively. These operations in turn require a large amount of workload and thus lead to a significant overhead [22]. According to our evaluation (reported in Sect.…”

Section: Software Migrationmentioning

confidence: 82%

A Low-Cost and Energy-Efficient Multiprocessor System-on-Chip for UWB MAC Layer

Xiao

Isshiki

Khan

et al. 2012

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

show abstract

“…Baynes et al [6] described their simulation environment and the modelling of embedded systems with SimBed, which measures the execution behaviour and power consumption of the RTOS and embedded applications. The authors compared three different RTOSs:…”

Section: Related Workmentioning

confidence: 99%

Energy Characterization of End-Device in ZigBee-based Wireless Sensor Network

Zhang

Xin

2016

MATEC Web of Conferences

View full text Add to dashboard Cite

Abstract. In this paper, a flow of ZigBee end-device energy characterization is introduced. The variation of the energy and power consumption of wireless communication through ZigBee end-device is studied. The remainder of this article details the methods used to determine energy and power overheads of the enddevice in four parts: start-up stage, basic energy expenditure, data-sending consumption and polling consumption. The impacts of software parameters like polling rate and data size on the energy consumption are analysed. Also, models of the power and energy are extracted. Our methods allow estimating the energy consumption of the ZigBee end-device when running a Z-Stack application on a specific hardware platform.

show abstract

“…Baynes et al [6] described their simulation environment, Simbed, which evaluates the performance and energy consumption of the RTOS and embedded applications. The authors compared three different RTOS's: μCOS, Echidna and NOS.…”

Section: Related Workmentioning

confidence: 99%

Accurate energy characterization of OS services in embedded systems

Ouni

Belleudy

Senn³

2012

J Embedded Systems

View full text Add to dashboard Cite

As technology scales for increased circuit density and performance, the management of power consumption in embedded systems is becoming critical. Because the operating system (OS) is a basic component of the embedded system, the reduction and characterization of its energy consumption is a main challenge for the designers. In this work, a flow of low power OS energy characterization is introduced. The variation of the energy and power consumption of the embedded OS services is studied. The remainder of this article details the methods used to determine energy and power overheads of a set of basic services of the embedded OS: scheduling, context switch and inter-process communication. The impacts of hardware and software parameters like processor frequency and scheduling policy on the energy consumption are analyzed. Also, models and laws of the power and energy are extracted. Then, to quantify the low power OS energetic overhead, the obtained models are integrated in the system level design. Our method allows estimating the energy consumption of the low power OS services when running an application on a specific hardware platform.

show abstract

The performance and energy consumption of embedded real-time operating systems

Cited by 52 publications

References 27 publications

A Low-Cost and Energy-Efficient Multiprocessor System-on-Chip for UWB MAC Layer

A Low-Cost and Energy-Efficient Multiprocessor System-on-Chip for UWB MAC Layer

Energy Characterization of End-Device in ZigBee-based Wireless Sensor Network

Accurate energy characterization of OS services in embedded systems

Contact Info

Product

Resources

About