Maximum predictability in signal interactions with HARETICK kernel

This paper addresses the problem of the predictability of the critical digital-signal acquisition and processing applications while interacting with signals. The hard real-time compact kernel (HARETICK) is briefly presented along with the model of the hard real-time tasks: the ModX. This paper focus...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2006-08, Vol.55 (4), p.1317-1330
Main Authors: Micea, M.V., Cretu, V.-I., Groza, V.
Format: Article
Language:English
Subjects:
Digital signal processing
Embedded system
Execution context
fixed execution
Hardware
Humans
Instrumentation
Kernel
Kernels
Mathematical models
operating kernel
Platforms
predictability
Real time
Real time systems
Scheduling
signal generation
Signal generators
Signal processing
Software engineering
Specifications
task model
Tasks
Timing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper addresses the problem of the predictability of the critical digital-signal acquisition and processing applications while interacting with signals. The hard real-time compact kernel (HARETICK) is briefly presented along with the model of the hard real-time tasks: the ModX. This paper focuses on the specification, analysis, scheduling, and implementation of the applications able to generate perfectly periodic signals on the HARETICK-based platforms. A specific nonpreemptive technique for scheduling a set of the ModXs with fixed-execution times during their periods-the fixed execution nonpreemptive (FENP) algorithm-was introduced. Some of the most interesting experimental results are also discussed.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2006.876530