A Dual-Priority Real-Time Multiprocessor System on FPGA for Automotive Applications

2008 ◽  
Author(s):  
Antonino Tumeo ◽  
Marco Branca ◽  
Lorenzo Camerini ◽  
Marco Ceriani ◽  
Matteo Monchiero ◽  
...  
Keyword(s):  
Real Time ◽  
Multiprocessor System ◽  
Automotive Applications

A dual-priority real-time multiprocessor system on FPGA for automotive applications

2008 ◽  
Author(s):  
Antonino Tumeo ◽  
Marco Branca ◽  
Lorenzo Camerini ◽  
Marco Ceriani ◽  
Gianluca Palermo ◽  
...  
Keyword(s):  
Real Time ◽  
Multiprocessor System ◽  
Automotive Applications

scholarly journals AN INTELLIGENT SCHEDULER APPROACH TO MULTIPROCESSOR SCHEDULING OF APERIODIC TASKS

2012 ◽  
pp. 42-46
Author(s):  
INDURAJ. P. R
Keyword(s):  
Real Time ◽  
Prior Knowledge ◽  
Resource Availability ◽  
Execution Time ◽  
Arrival Time ◽  
Multiprocessor Scheduling ◽  
Multiprocessor System ◽  
Aperiodic Tasks

This paper presents a new scheduler capable of scheduling aperiodic tasks at real time in multiprocessor system. The algorithm proposes a new way to determine dynamically tasks of high priority and low priority finding the elapsed execution time and remaining execution time, and the amount of resource availability and deadline of task, with no prior knowledge of task arrival time and also ensures that no processor remains ideal thus utilizing processors at all times.

A Low Cost Fault-Tolerant Multiprocessor System for Real-Time Control

1986 ◽  
Vol 19 (13) ◽  
pp. 113-117
Author(s):  
J.J. Serrano ◽  
C. Cebrián ◽  
J. Vila ◽  
R. Ors
Keyword(s):  
Real Time ◽  
Fault Tolerant ◽  
Low Cost ◽  
Multiprocessor System ◽  
Real Time Control ◽  
Time Control

GENETIC ALGORITHM WITH TWO OBJECTIVE FOR REAL-TIME TASK SCHEDULING WITH COMMUNICATION TIME

2018 ◽  
Vol 6 (1) ◽  
pp. 14-17
Author(s):  
Myungryun Yoo ◽  
Takanori Yokoyama
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Multiprocessor System ◽  
Time Task ◽  
Communication Time ◽  
Adaptive Weight ◽  
Np Hard Problem ◽  
Heuristics Algorithm ◽  
Execution Order

Purpose of the study:The real-time task scheduling on multiprocessor system is known as an NP-hard problem. This paper proposes a new real-time task scheduling algorithmwhich considers the communication time between processors and the execution order between tasks. Methodology:Genetic Algorithm (GA)with Adaptive Weight Approach (AWA) is used in our approach. Main Findings:Our approach has two objectives. The first objective is to minimize the total amount of deadline-miss. And the second objective is to minimize the total number of processors used. Applications of this study:For two objectives,the range of each objective is readjusted through Adaptive Weight Approach (AWA) and more useful result is obtained. Novelty/Originality of this study:This study never been done before.This study also wasprovided current information about scheduling algorithm and heuristics algorithm.

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