Fault Tolerant Data Flow Modeling Using the Generic Modeling Environment

2005 ◽  
Author(s):  
M.L. McKelvin ◽  
J. Sprinkle ◽  
C. Pinello ◽  
A. Sangiovanni-Vincentelli
Keyword(s):  
Data Flow ◽  
Fault Tolerant ◽  
Flow Modeling ◽  
Modeling Environment ◽  
Generic Modeling

A fault-tolerant systolic data flow machine

1989 ◽  
Vol 25 (1-5) ◽  
pp. 91-96
Author(s):  
D. Tal ◽  
I. Erenyi ◽  
J.C. Comfort
Keyword(s):  
Data Flow ◽  
Fault Tolerant

Formal workflow design analytics using data flow modeling

2013 ◽  
Vol 55 (1) ◽  
pp. 270-283 ◽  
Author(s):  
Sherry X. Sun ◽  
J. Leon Zhao
Keyword(s):  
Data Flow ◽  
Flow Modeling ◽  
Using Data

scholarly journals A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4228
Author(s):  
Tércio Filho ◽  
Luiz Fernando ◽  
Marcos Rabelo ◽  
Sérgio Silva ◽  
Carlos Santos ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Information Exchange ◽  
Data Flow ◽  
Environmental Data ◽  
Mesh Network ◽  
Soil Conditions ◽  
Processing Unit ◽  
Flow Modeling ◽  
State Variables

The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications. This paper proposes a Standard-based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring. The platform consists of an IoT network based on the IEEE 1451 standard which has the network capable application processor (NCAP) node (coordinator) and multiple wireless transducers interface module (WTIM) nodes. A WTIM node consists of one or more transducers, a data transfer interface and a processing unit. Thus, with the developed network, it is possible to collect environmental data at different points within a city landscape, to perform analysis of the communication distance between the WTIM nodes, and monitor the number of bytes transferred according to each network node. In addition, a dynamic model of data flow is proposed where the performance of the NCAP and WTIM nodes are described through state variables, relating directly to the information exchange dynamics between the communicating nodes in the mesh network. The modeling results showed stability in the network. Such stability means that the network has capacity of preserve its flow of information, for a long period of time, without loss frames or packets due to congestion.

Formal Analysis of Predictable Data Flow in Fault-Tolerant Multicore Systems

2017 ◽  
pp. 153-171
Author(s):  
Boris Madzar ◽  
Jalil Boudjadar ◽  
Juergen Dingel ◽  
Thomas E. Fuhrman ◽  
S. Ramesh
Keyword(s):  
Data Flow ◽  
Fault Tolerant ◽  
Formal Analysis ◽  
Multicore Systems
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