An approach to optical parallel data transmission using optical symbolic substitution

1995 ◽  
Vol 78 (5) ◽  
pp. 34-43
Author(s):  
Hideya Takahashi ◽  
Eiji Shimizu ◽  
Yoshinori Kajiki
Keyword(s):  
Data Transmission ◽  
Parallel Data ◽  
Symbolic Substitution

scholarly journals Single-source chip-based frequency comb enabling extreme parallel data transmission

2018 ◽  
Vol 12 (8) ◽  
pp. 469-473 ◽  
Author(s):  
Hao Hu ◽  
Francesco Da Ros ◽  
Minhao Pu ◽  
Feihong Ye ◽  
Kasper Ingerslev ◽  
...  
Keyword(s):  
Data Transmission ◽  
Frequency Comb ◽  
Single Source ◽  
Parallel Data

scholarly journals Computational Smart Grid and DAM Queue

2019 ◽  
Vol 8 (3) ◽  
pp. 8050-8052
Keyword(s):  
Processing Speed ◽  
Data Transmission ◽  
Queuing Theory ◽  
Computational Grid ◽  
Information Services ◽  
Dynamic Allocation ◽  
Design And Implementation ◽  
Parallel Data ◽  
Architectural Model ◽  
Overall Performance

The layout of the Smart Computational Grid is an integral part of our information services infrastructure. In this paper, an anticipation of the architectural model of Smart Computational Grid is derived, which provides petabytes storage, tera-byte processing speed, and Gigabyte data transmission, where many supercomputers forms node with parallel data transmission. Impulsive demands posed by unexpected flows of data from users for complex computations, however, is exceedingly challenging. The paper specifies the design and implementation of a Dynamic Allocation of Memory (DAM) algorithm. DAM algorithm identifies the design of memory at supercomputing node, for ergodic functioning and for ensuring that no data overflow, using the methodology of queuing theory. The overall performance of the DAM algorithm is shown using MM1 and GG1 queue models and results are compared accordingly

High-bandwidth parallel data transmission using GaN/CMOS micro-LED arrays

2012 ◽  
Author(s):  
Shuailong Zhang ◽  
Scott Watson ◽  
Jonathan J.D. McKendry ◽  
David Massoubre ◽  
Andrew Cogman ◽  
...  
Keyword(s):  
Data Transmission ◽  
Parallel Data ◽  
High Bandwidth ◽  
Led Arrays

scholarly journals Analysis of Retransmission Policies for Parallel Data Transmission

2018 ◽  
Vol 8 (3) ◽  
pp. 3079-3083
Author(s):  
I. A. Halepoto ◽  
I. H. Sadhayo ◽  
M. S. Memon ◽  
A. Manzoor ◽  
S. Bhatti
Keyword(s):  
Data Transmission ◽  
Transmission Control Protocol ◽  
Transport Layer ◽  
Transmission Protocol ◽  
Network Simulator ◽  
Parallel Transmission ◽  
Data Packets ◽  
Parallel Data ◽  
Concurrent Multipath Transfer ◽  
Multiple Paths

Stream control transmission protocol (SCTP) is a transport layer protocol, which is efficient, reliable, and connection-oriented as compared to transmission control protocol (TCP) and user datagram protocol (UDP). Additionally, SCTP has more innovative features like multihoming, multistreaming and unordered delivery. With multihoming, SCTP establishes multiple paths between a sender and receiver. However, it only uses the primary path for data transmission and the secondary path (or paths) for fault tolerance. Concurrent multipath transfer extension of SCTP (CMT-SCTP) allows a sender to transmit data in parallel over multiple paths, which increases the overall transmission throughput. Parallel data transmission is beneficial for higher data rates. Parallel transmission or connection is also good in services such as video streaming where if one connection is occupied with errors the transmission continues on alternate links. With parallel transmission, the unordered data packets arrival is very common at receiver. The receiver has to wait until the missing data packets arrive, causing performance degradation while using CMT-SCTP. In order to reduce the transmission delay at the receiver, CMT-SCTP uses intelligent retransmission polices to immediately retransmit the missing packets. The retransmission policies used by CMT-SCTP are RTX-SSTHRESH, RTX-LOSSRATE and RTX-CWND. The main objective of this paper is the performance analysis of the retransmission policies. This paper evaluates RTX-SSTHRESH, RTX-LOSSRATE and RTX-CWND. Simulations are performed on the Network Simulator 2. In the simulations with various scenarios and parameters, it is observed that the RTX-LOSSRATE is a suitable policy.

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