Multiple Round-Trip Delay-Based Architecture for Si-Integrated Photonic Reservoir Computing

Author(s):  
Florian Denis-le Coarer ◽  
Damien Rontani ◽  
Marc Sciamanna
2021 ◽  
Vol 49 (4) ◽  
pp. 12-17
Author(s):  
Feilong Liu ◽  
Claude Barthels ◽  
Spyros Blanas ◽  
Hideaki Kimura ◽  
Garret Swart

Networkswith Remote DirectMemoryAccess (RDMA) support are becoming increasingly common. RDMA, however, offers a limited programming interface to remote memory that consists of read, write and atomic operations. With RDMA alone, completing the most basic operations on remote data structures often requires multiple round-trips over the network. Data-intensive systems strongly desire higher-level communication abstractions that supportmore complex interaction patterns. A natural candidate to consider is MPI, the de facto standard for developing high-performance applications in the HPC community. This paper critically evaluates the communication primitives of MPI and shows that using MPI in the context of a data processing system comes with its own set of insurmountable challenges. Based on this analysis, we propose a new communication abstraction named RDMO, or Remote DirectMemory Operation, that dispatches a short sequence of reads, writes and atomic operations to remote memory and executes them in a single round-trip.


Author(s):  
Chetna Laroiya ◽  
Vijay Bhushan Aggarwal

In order to implement IoT-based health-care for improved quality of life, we have to deal with sensor and communication technologies. In this article, the authors propose an approach to analyse real-time data streaming from a patient's surface body sensors, which are to be looked upon in a small sliding window frame. Time series analysis of data from the sensors is effective in reducing the round-trip delay between patient and the medical server. Two algorithms are for the sensor, and odd measures are proposed based on joint probability and joint conditional probability. The proposed algorithms are to be SQL compliant, as traces of at-sensor UDBMS alongside elementary capabilities supports databases with a meagre amount of SQL, which is evident in the literature.


Author(s):  
Carlos Flores-Cortés ◽  
Raymundo Buenrostro-Mariscal ◽  
Antonio Gurrero-Ibañez ◽  
Fermín Estrada-González ◽  
Jesus Sandoval-Orozco

Wireless Sensor Networks (WSNs) have an enormous potential for investigating oceanographic problems such as the impact of industrial, touristic and commercial activities in coastal areas, among others. However, ocean waves, fog, humidity and other environmental conditions make difficult communication between nodes. This paper presents an evaluation on-site of the performance of an IEEE 802.15.4 WSN. In particular, received signal strength indication, throughput, round trip delay time and the rate of efficiency are evaluated.  Different settings were tested and results shown which settings performed better on these environments.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
R. N. Duche ◽  
N. P. Sarwade

Wireless sensor networks (WSNs) with efficient and accurate design to increase the quality of service (QoS) have become a hot area of research. Implementing the efficient and accurate WSNs requires deployment of the large numbers of portable sensor nodes in the field. The quality of service of such networks is affected by lifetime and failure of sensor node. In order to improve the quality of service, the data from faulty sensor nodes has to be ignored or discarded in the decision-making process. Hence, detection of faulty sensor node is of prime importance. In the proposed method, discrete round trip paths (RTPs) are compared on the basis of round trip delay (RTD) time to detect the faulty sensor node. RTD protocol is implemented in NS2 software. WSNs with circular topology are simulated to determine the RTD time of discrete RTPs. Scalability of the proposed method is verified by simulating the WSNs with various sensor nodes.


2017 ◽  
Vol 21 (11) ◽  
pp. 2528-2531 ◽  
Author(s):  
Lihua Ruan ◽  
Maluge P. I. Dias ◽  
Ye Feng ◽  
Elaine Wong

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