Use of FreeRTOS in Teaching Real-time Embedded Systems Design Course

Evaluating High-Level Models for Real Time Embedded Systems Design

IFIP International Federation for Information Processing - Design Methods and Applications for Distributed Embedded Systems ◽

10.1007/1-4020-8149-9_28 ◽

2004 ◽

pp. 277-286 ◽

Cited By ~ 1

Author(s):

Lisane Brisolara ◽

Leandro B. Becker ◽

Luigi Carro ◽

Flávio R. Wagner ◽

Carlos Eduardo Pereira

Keyword(s):

Embedded Systems ◽

Real Time ◽

Systems Design ◽

High Level

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Power-conscious Scheduling for Real-time Embedded Systems Design

VLSI Design ◽

10.1155/2001/23925 ◽

2001 ◽

Vol 12 (2) ◽

pp. 139-150 ◽

Cited By ~ 3

Author(s):

Youngsoo Shin ◽

Kiyoung Choi ◽

Takayasu Sakurai

Keyword(s):

Embedded Systems ◽

Real Time ◽

Systems Design ◽

Optimization Method ◽

Efficient Design ◽

Power Efficient ◽

On Line ◽

Time Variations ◽

Processor Speed ◽

Programmable Processors

Power efficient design of real-time embedded systems based on programmable processors becomes more important as system functionality is increasingly realized through software. We address a power optimization method for real-time embedded applications on a variable speed processor. The method combines off-line and on-line components. The off-line component determines the lowest possible maximum processor speed while guaranteeing deadlines of all tasks. The on-line component dynamically varies the processor speed or bring a processor into a power-down mode to exploit execution time variations and idle intervals. Experimental results show that the proposed method obtains a significant power reduction across several kinds of applications.

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Using SDL in embedded systems design: a tool for generating real-time OS pSOS based embedded systems applications software

Proceedings of 11th IEEE Workshop on Real-Time Operating Systems and Software ◽

10.1109/rtoss.1994.292564 ◽

2002 ◽

Cited By ~ 1

Author(s):

Ye Huang ◽

M. Hughes

Keyword(s):

Embedded Systems ◽

Real Time ◽

Systems Design

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Large Data Stream Processing - Embedded Systems Design Challenges

International Journal of Electronics and Telecommunications ◽

10.2478/v10177-010-0013-4 ◽

2010 ◽

Vol 56 (2) ◽

pp. 107-110 ◽

Cited By ~ 1

Author(s):

Adam Handzlik ◽

Andrzej Jabłonski

Keyword(s):

Embedded Systems ◽

Real Time ◽

Data Stream ◽

High Speed ◽

Stream Processing ◽

Systems Design ◽

Large Data ◽

Data Stream Processing ◽

Huge Data ◽

Design Challenges

Large Data Stream Processing - Embedded Systems Design Challenges The following paper describes an application of reconfigurable hardware architectures for processing of huge data streams. Radar, sonar and high speed internet networks are typical sources of data that require extreme computing power and resources to enable real time acquisition, processing and management. An approach to monitoring of real time multi-gigabit internet network has been described as a practical application of FPGA based board, designed for fast data processing.

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Task Scheduling under Uncertain Timing Constraints in Real-Time Embedded Systems

Embedded Computing Systems ◽

10.4018/978-1-4666-3922-5.ch011 ◽

2013 ◽

pp. 211-235 ◽

Cited By ~ 5

Author(s):

Pranab K. Muhuri ◽

K. K. Shukla

Keyword(s):

Embedded Systems ◽

Real Time ◽

Task Scheduling ◽

Resource Constraints ◽

Systems Design ◽

Task Completion ◽

Timing Constraints ◽

Timing Constraint ◽

Processing Times ◽

And Task

In real-time embedded systems, timeliness of task completion is a very important factor. In such systems, correctness of the output depends on the timely production of results in addition to the logical outcome of computation. Thus, tasks have explicit timing constraints besides other characteristics of general systems, and task scheduling aims towards devising a feasible schedule of the tasks such that timing constraints, resource constraints, precedence constraints, etc. are complied. In real-time embedded systems, the most important timing constraint of a task is the deadline, as tasks must be completed within this time. The next important timing constraint is the processing time, because a task occupies a processor only for this duration of time. However, in the early phase of real-time embedded systems design only an approximate idea of the tasks and their characteristics are known. As a result, uncertainty or impreciseness is associated with the task deadlines and processing times; hence, it is appropriate to use fuzzy numbers to model deadlines and processing times in real-time embedded systems. The chapter introduces a new method using mixed cubic-exponential Hermite interpolation technique for intuitively defining smooth Membership Functions (MFs) for fuzzy deadlines and processing times. The effect of changes in parameterized MFs on the task schedulability and task priorities are explained. Examples are given to demonstrate the significant features and better performance of the new technique.

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