scholarly journals Virtual Channel aware Scheduling for Real Time Data-Flows on Network on-Chip

2019 ◽  
Vol 20 (3) ◽  
pp. 495-510
Author(s):  
Amine Meghabber ◽  
Lakhdar Loukil ◽  
Richard Olejnik ◽  
Abou El Hassan Benyamina ◽  
Abdelkader Aroui
Keyword(s):  
Real Time ◽  
Network On Chip ◽  
Time Constraints ◽  
Time Data ◽  
Virtual Channels ◽  
Software Designers ◽  
Data Flows ◽  
Real Time Data ◽  
Real Time Applications ◽  
On Chip

The increasing complexity of real-time applications presents a challenge to researchers and software designers. The tasks of these applications usually exchange large volume of data-flows and often need to satisfy real-time constraints. Although the Network on-Chip (NoC) paradigm offers an underlying communication infrastructure that gives more hardware resources, it is unable to safe tasks and data-flows deadlines. In recent works, preemptive wormhole switching with fixed priority has been introduced to meet real-time constraints of real-time applications. However, it suffers some bottleneck such as hardware requirement where none of these works takes account of the number of implemented virtual channels on the router. To alleviate this problem, we propose a novel scheduler for soft real-time data-flows application that takes into account the lack on resource in routers in term of Virtual channels. Experimental results obtained on a benchmark of synthetic and soft real applications have shown the efficiency of our approach in term of real-time constraints satisfaction for data-flow traffics and hardware requirements.

Microsense

2016 ◽  
Vol 7 (3) ◽  
pp. 38-55
Author(s):  
Srinivasa K.G. ◽  
Ganesh Hegde ◽  
Kushagra Mishra ◽  
Mohammad Nabeel Siddiqui ◽  
Abhishek Kumar ◽  
...  
Keyword(s):  
Real Time ◽  
Nodal Point ◽  
System On Chip ◽  
Streaming Data ◽  
Portable Devices ◽  
Time Data ◽  
Unified Framework ◽  
Real Time Data ◽  
Varied Degree ◽  
On Chip

With the advancement of portable devices and sensors, there has been a need to build a universal framework, which can serve as a nodal point to aggregate data from different kinds of devices and sensors. We propose a unified framework that will provide a robust set of guidelines for sensors with varied degree of complexities connected to common set of System-on-Chip (SoC). These will help to monitor, control and visualize real time data coming from different type of sensors connected to these SoCs. We have defined a set of APIs, which will help the sensors to register with the server. These APIs will be the standard to which the sensors will comply while streaming data when connected to the client platforms.

scholarly journals Aesthetic Archives

2016 ◽  
Vol 41 (1) ◽  
pp. 11-23
Author(s):  
Michael Takeo Magruder ◽  
Jeremy Pilcher
Keyword(s):  
New Media ◽  
Real Time ◽  
Emerging Technologies ◽  
Distributed Data ◽  
Time Data ◽  
The Real ◽  
New Media Art ◽  
Data Flows ◽  
Real Time Data ◽  
Visual Artist

Michael Takeo Magruder, visual artist and researcher, discusses his digital and new media art and practice with Jeremy Pilcher, lawyer and academic, whose research engages with the intersection of art and law. Takeo's work asks viewers to question their relationship both to and within the real-time data flows generated by emerging technologies and the implications these have for archives. His art concerns the way institutions use such systems to create narratives that structure societies. This conversation discusses how Takeo's practice invites us, as individuals, to critically reflect on the implications of the stories that are both told to and about us by using gathered and distributed data.

scholarly journals Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications

Micromachines ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1196
Author(s):  
Samuel da Silva Oliveira ◽  
Bruno Motta de Carvalho ◽  
Márcio Eduardo Kreutz
Keyword(s):  
Real Time ◽  
Communication Networks ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Network On Chip ◽  
Chip Area ◽  
Average Latency ◽  
Real Time Applications ◽  
On Chip

Network-on-Chip is a good approach to working on intra-chip communication. Networks with irregular topologies may be better suited for specific applications because of their architectural nature. A good design space exploration can help the design of the network to obtain more optimized topologies. This paper proposes a way of optimizing networks with irregular topologies through the use of a genetic algorithm. The network proposed here has heterogeneous routers that aim to optimize the network and support applications with real-time tasks. The goal is to find networks that are optimized for average latency and percentage of real-time packets delivered within the deadline. The results show that we have been able to find networks that can deliver all the real-time packets, obtain acceptable latency values, and shrink the chip area.

Real-Time Communication Method over Switched Ethernet

2013 ◽  
Vol 411-414 ◽  
pp. 840-843
Author(s):  
A Li Mu Jiang Yiming ◽  
Re Zi Wan Maimaiti ◽  
Aisikaer Kadier
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Network Protocol ◽  
Control Network ◽  
Time Data ◽  
Industrial Control ◽  
Switched Ethernet ◽  
Communication Method ◽  
Real Time Data ◽  
Real Time Applications

This paper presents a method to support real-time data communication over switched Ethernet. The work without modifications in the Ethernet hardware and coexists with TCP/IP suites. Experiment results shows that compared with conventional real-time network protocol, the proposed work has better real-time performances and meets the requirements for industrial control network real-time applications.

Microsense

2020 ◽  
pp. 170-189
Author(s):  
Srinivasa K.G. ◽  
Ganesh Hegde ◽  
Kushagra Mishra ◽  
Mohammad Nabeel Siddiqui ◽  
Abhishek Kumar ◽  
...  
Keyword(s):  
Real Time ◽  
Nodal Point ◽  
Aggregate Data ◽  
System On Chip ◽  
Streaming Data ◽  
Portable Devices ◽  
Time Data ◽  
Unified Framework ◽  
Real Time Data ◽  
On Chip

With the advancement of portable devices and sensors, there has been a need to build a universal framework, which can serve as a nodal point to aggregate data from different kinds of devices and sensors. We propose a unified framework that will provide a robust set of guidelines for sensors with varied degree of complexities connected to common set of System-on-Chip (SoC). These will help to monitor, control and visualize real time data coming from different type of sensors connected to these SoCs. We have defined a set of APIs, which will help the sensors to register with the server. These APIs will be the standard to which the sensors will comply while streaming data when connected to the client platforms.

scholarly journals Energy Efficient and Real-Time Remote Sensing in AI-Powered Drone

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bongjae Kim ◽  
Jinman Jung ◽  
Hong Min ◽  
Junyoung Heo
Keyword(s):  
Remote Sensing ◽  
Energy Consumption ◽  
Data Analysis ◽  
Real Time ◽  
Energy Efficient ◽  
Urban Areas ◽  
Computation Offloading ◽  
Time Constraints ◽  
Time Data ◽  
Real Time Data

Remote sensing using drones has the advantage of being able to quickly monitor large areas such as rivers, oceans, mountains, and urban areas. In the case of applications dealing with large sensing data, it is not possible to send data from a drone to the server online, so it must be copied to the server offline after the end of the flight. However, online transmission is essential for applications that require real-time data analysis. The existing computation offloading scheme enables online transmission by processing large amounts of data in a drone and transferring it to the server, but without consideration for real-time constraints. We propose a novel computation offloading scheme which considers real-time constraints while minimizing the energy consumption of drones. Experimental results showed that the proposed scheme satisfied real-time constraints compared to the existing computation offloading scheme. Furthermore, the proposed technique showed that real-time constraints were satisfied even in situations where delays occurred on the server due to the processing of requests from multiple drones.

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