scholarly journals DARTSVIEW, A TOOLKIT FOR DARTS IN LABVIEW

2009 ◽  
Vol 12 (14) ◽  
pp. 69-76
Author(s):  
Hieu Khanh Ngo ◽  
Grolleau Emmanuel
Keyword(s):  
Real Time ◽  
Virtual Instrument ◽  
Design Method ◽  
Real Time Systems ◽  
Application Development ◽  
Development Environment ◽  
Real Time System ◽  
Temporal Validation ◽  
Control Command ◽  
Time Systems

DARTS (Design Approach for Real Time Systems) [4] is a software design method for real time systems. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical application development environment developed by National Instruments Corporation based on the dataflow representation of the "G" language [6][2]. LabVIEW is implicitly multithreaded and has high level functions for communication/synchronization, allowing it to be used as a programming language for control/command and soft real-time applications. In order to help a designer to develop a real-time application, we propose the library DARTSVIEW, which simplifies the passage from the conception of a "multitasking" application to the implementation [8). One can use DARTSVIEW in different phases of the life cycle of real-time system software. The last version of DARTSVIEW, allows to define in XML several real-time programming normalized languages, and to generate a part of the code for different specific programming languages (Ada, POSIX 1003.1, VxWorks, OSEK/VDX, etc.). The flexibility introduced by the use of XML allows a designer also to generate some code targeting real-time scheduling analysis tools in order to achieve the temporal validation. The objective of this article is to present an overview of DARTSVIEW, a Toolkit for DARTS in LabVIEW, the role of DARTSVIEW in the software.

Software Design Method for Small Real Time Systems Using Modified Pro-Nets

1992 ◽  
Vol 25 (25) ◽  
pp. 263-265
Author(s):  
B.R. Andrievsky ◽  
A.A. Vasiljev ◽  
V.N. Utkin
Keyword(s):  
Real Time ◽  
Software Design ◽  
Design Method ◽  
Real Time Systems ◽  
Time Systems

DESIGN METHOD OF REAL-TIME SYSTEMS

1992 ◽  
pp. 191-196
Author(s):  
L. Carcagno ◽  
M. De Michiel ◽  
D. Dours ◽  
R. Facca ◽  
A. Feki ◽  
...  
Keyword(s):  
Real Time ◽  
Design Method ◽  
Real Time Systems ◽  
Time Systems

scholarly journals Internet of Things (IoT) Platform for Multi-Topic Messaging

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3346
Author(s):  
Mahmoud Hussein ◽  
Ahmed I. Galal ◽  
Emad Abd-Elrahman ◽  
Mohamed Zorkany
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Real Time ◽  
Communication Protocol ◽  
Real Time Systems ◽  
Real Time System ◽  
Client Server ◽  
Iot Applications ◽  
Iot Platforms ◽  
Time Systems

IoT-based applications operate in a client–server architecture, which requires a specific communication protocol. This protocol is used to establish the client–server communication model, allowing all clients of the system to perform specific tasks through internet communications. Many data communication protocols for the Internet of Things are used by IoT platforms, including message queuing telemetry transport (MQTT), advanced message queuing protocol (AMQP), MQTT for sensor networks (MQTT-SN), data distribution service (DDS), constrained application protocol (CoAP), and simple object access protocol (SOAP). These protocols only support single-topic messaging. Thus, in this work, an IoT message protocol that supports multi-topic messaging is proposed. This protocol will add a simple “brain” for IoT platforms in order to realize an intelligent IoT architecture. Moreover, it will enhance the traffic throughput by reducing the overheads of messages and the delay of multi-topic messaging. Most current IoT applications depend on real-time systems. Therefore, an RTOS (real-time operating system) as a famous OS (operating system) is used for the embedded systems to provide the constraints of real-time features, as required by these real-time systems. Using RTOS for IoT applications adds important features to the system, including reliability. Many of the undertaken research works into IoT platforms have only focused on specific applications; they did not deal with the real-time constraints under a real-time system umbrella. In this work, the design of the multi-topic IoT protocol and platform is implemented for real-time systems and also for general-purpose applications; this platform depends on the proposed multi-topic communication protocol, which is implemented here to show its functionality and effectiveness over similar protocols.

scholarly journals A Small Remark on Hilbert’s Finitist View of Divisibility and Kanovich-Okada-Scedrov’s Logical Analysis of Real-Time Systems

2020 ◽  
pp. 39-47
Author(s):  
Mitsuhiro Okada
Keyword(s):  
Real Time ◽  
Infinite Divisibility ◽  
Early History ◽  
Logical Analysis ◽  
Real Time Systems ◽  
Infinitely Divisible ◽  
Real Time System ◽  
Natural Event ◽  
History Of ◽  
Time Systems

Abstract Hilbert remarked in the introductory part of his most famous finitism address (1925  [1]) that “[t]he infinite divisibility of a continuum is an operation that is present only in our thought”, which means that no natural event or matter is infinitely divisible in reality. We recall that Scedrov’s group including the author started logical analysis of real time systems with the principle similar to Hilbert’s no-infinite divisibility claim, in  [2]. The author would like to note some early history of the group’s work on logical analysis of real time system as well as some remark related to Hilbert’s claim of no-infinite divisibility.

scholarly journals An Introduction to RTOS

2012 ◽  
pp. 285-289
Author(s):  
Sanjay Singh ◽  
Nishant Tripathi ◽  
Anil Kumar Chaudhary ◽  
Mahesh Kumar Singh
Keyword(s):  
Operating System ◽  
Real Time ◽  
Level Of Service ◽  
Real Time Systems ◽  
Time System ◽  
Real Time System ◽  
Real Time Operating System ◽  
System A ◽  
External Stimuli ◽  
Time Systems

RTOS (real time operating system) can be defined as “The ability of the operating system to provide a required level of service in bounded response time.” A real time system responds in a (timely) predictable way to unpredictable external stimuli arrivals. To build a predictable system, all its components (hardware & software) should enable this requirement to be fulfilled. Traffic on a bus for example should take place in a way allowing all events to be managed within the prescribe time limit. However it should not be forgotten that a good RTOS is only is building block. Using it in a wrongly designed system may lead to a malfunctioning of the RT system. A good RTOS can be defined as one that has a bounded (predictable) behavior under all system load scenarios (simultaneous interrupts and thread execution). In RT system, each individual deadline should be met. Real-time systems are designed to control and monitor their environment. Most of these systems are using sensors to collect environment state and use actuators to change something.

Implementation and Comparative Analysis of k-means and Fuzzy c-means Clustering Algorithms for Tasks Allocation in Distributed Real Time System

2019 ◽  
Vol 10 (2) ◽  
pp. 66-86 ◽  
Author(s):  
Harendra Kumar ◽  
Isha Tyagi
Keyword(s):  
Real Time ◽  
High Performance ◽  
Distributed Processing ◽  
Clustering Algorithms ◽  
Processing System ◽  
Real Time Systems ◽  
Real Time System ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Time Systems

Distributing tasks to processors in distributed real time systems is an important step for obtaining high performance. Scheduling algorithms play a vital role in achieving better performance and high throughput in heterogeneous distributed real time systems. To make the best use of the computational power available, it is essential to assign the tasks to the processor whose characteristics are most appropriate for the execution of the tasks in a distributed processing system. This study develops two algorithms for clustering the heavily-communicating tasks to reduce the inter-tasks communication costs by using k-means and fuzzy c-means clustering techniques respectively. In order to minimize the system cost and response time, an algorithm is developed for the proper allocation of formed clusters to the most suitable processor. The present algorithms are collated with problems in literature. The proposed algorithms are formulated and applied to numerous numerical examples to demonstrate their effectiveness.

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