918 Development of the distributed processing system "Marionette" using a shared memory

2012 ◽  
Vol 2012.50 (0) ◽  
pp. 91801-91802
Author(s):  
Hirofumi MAEDA
Keyword(s):  
Shared Memory ◽  
Distributed Processing ◽  
Processing System

II. Your Present Moment in Spacetime

2021 ◽  
Vol 2021 (06) ◽  
pp. 0626
Author(s):  
Conrad Dale Johnson
Keyword(s):  
Quantum Physics ◽  
Distributed Processing ◽  
Processing System ◽  
Physical World ◽  
Measuring Instruments ◽  
Present Moment ◽  
Local Measurement ◽  
Hyperbolic Structure ◽  
Objective Reality ◽  
Block Universe

This essay extends the argument begun in "Why Quantum Mechanics Makes Sense," exploring the conditions under which a physical world can define and communicate information. I argue that like the structure of quantum physics, the principles of Special and General Relativity can be understood as reflecting the requirements of a universe in which things are observable and measurable. I interpret the peculiar hyperbolic structure of spacetime not as the static, four-dimensional geometry of an unobservable "block universe", but as the background metric of an evolving web of communicated information that we, along with all our measuring instruments and recording devices, actually experience in our local "here and now." Our relativistic universe is conceived as a parallel distributed processing system, in which a common objective reality is constantly being woven out of many kinds of facts determined separately in countless local measurement-contexts.

Dynamic Scheduling Model of Rail-Guided Vehicle (RGV) Based on Genetic Algorithms in the Context of Mobile Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 43-62
Author(s):  
Chen Xu ◽  
Xueyan Xiong ◽  
Qianyi Du ◽  
Shudong Liu ◽  
Yipeng Li ◽  
...  
Keyword(s):  
Information System ◽  
Mobile Computing ◽  
Dynamic Scheduling ◽  
Distributed Processing ◽  
Processing System ◽  
Time Dynamic ◽  
Scheduling Model ◽  
Practical Operation ◽  
Optimization Efficiency ◽  
Production And Operation

Track guidance vehicle (RGV) is widely used in logistics warehousing and intelligent workshop, and its scheduling effectiveness will directly affect the production and operation efficiency of enterprises. In practical operation, central information system often lacks flexibility and timeliness. By contrast, mobile computing can balance the central information system and the distributed processing system, so that useful, accurate, and timely information can be provided to RGV. In order to optimize the RGV scheduling problem in uncertain environment, a genetic algorithm scheduling rule (GAM) using greedy algorithm as the genetic screening criterion is proposed in this paper. In the experiment, RGV scheduling of two-step processing in an intelligent workshop is selected as the research object. The experimental results show that the GAM model can carry out real-time dynamic programming, and the optimization efficiency is remarkable before a certain threshold.

A MODEL OF WORD MEMORY BASED ON DISTRIBUTED PROCESSING IN A CELLULAR NETWORK

Kybernetes ◽  
1981 ◽  
Vol 10 (1) ◽  
pp. 17-24 ◽  
Author(s):  
M.C. FAIRHURST ◽  
I.R. PULLEN
Keyword(s):  
Data Structure ◽  
Data Storage ◽  
Cellular Network ◽  
Distributed Processing ◽  
Processing System ◽  
Distributed Data ◽  
Interconnected Network ◽  
Distributed Data Storage ◽  
Word Memory ◽  
Comprehensive Information

This paper proposes a model of word memory based on an interconnected network of simple neuron‐like computational cells. Major features of the model are the ease of implementation using currently available hardware, and the fact that the principles underlying its operation may be extended to a comprehensive information processing system based on a hierarchy of such networks. The concepts of distributed data storage, the establishing of logical relations between stored items, and the construction of an integrated data structure are characterised in terms of the patterns of activity of the network.

scholarly journals Serial failure diagnosis of a distributed processing system by Petri nets

1996 ◽  
Vol 31 (9) ◽  
pp. 57-62 ◽  
Author(s):  
M. Katsumata ◽  
M. Kurihara ◽  
A. Ohuchi ◽  
Y. Sugasawa
Keyword(s):  
Petri Nets ◽  
Distributed Processing ◽  
Processing System ◽  
Failure Diagnosis

Evaluation of pipelined common processor in distributed processing system

1981 ◽  
Vol 11 ◽  
pp. 121-127
Author(s):  
T Kudoh ◽  
M Hirayama ◽  
K Mikami
Keyword(s):  
Distributed Processing ◽  
Processing System
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