Genetic Algorithm and PID Control Together for Dynamic Anticipative Marginal Buffer Management: An Effective Approach to Enhance Dependability and Performance for Distributed Mobile Object-Based Real-Time Computing over the Internet

2002 ◽  
Vol 62 (9) ◽  
pp. 1433-1453 ◽  
Author(s):  
Allan K.Y Wong ◽  
Wilfred W.K Lin ◽  
May T.W Ip ◽  
Tharam S Dillon
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Pid Control ◽  
Buffer Management ◽  
The Internet ◽  
Mobile Object ◽  
Object Based ◽  
And Performance ◽  
Real Time Computing

Quintet.net: An Environment for Composing and Performing Music on the Internet

Leonardo ◽  
2005 ◽  
Vol 38 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Georg Hajdu
Keyword(s):  
Full Advantage ◽  
Real Time ◽  
Virtual Environment ◽  
Visual Communication ◽  
The Internet ◽  
Local Networks ◽  
Client Server ◽  
Interactive Environment ◽  
And Performance

Quintet.net is a real-time interactive environment for intermedial composition and performance on local networks as well as the Internet. Since its premiere in 2000, the environment has been used in several large projects connecting players in Europe and the U.S.A., a Munich biennale opera project among them. Quintet.net implements, in a virtual environment, the metaphor of five performers under the control of a conductor, thus dealing with important aspects of symbolic, aural and visual communication among the participants and the network audience. A composition development kit has been added to the environment (which consists of Client, Server, Listener, Conductor and Viewer) to facilitate the development of pieces that take full advantage of the wide continuum between composition and improvisation.

TRANSOBJ: SOFTWARE PROTOTYPING ENVIRONMENT FOR REAL-TIME TRANSACTION-BASED SOFTWARE SYSTEM APPLICATIONS

1992 ◽  
Vol 02 (01) ◽  
pp. 5-29 ◽  
Author(s):  
KIYOSHI ITOH ◽  
YASUHISA TAMURA ◽  
SHINICHI HONIDEN
Keyword(s):  
Real Time ◽  
Design Process ◽  
Large Scale ◽  
Time Span ◽  
Software Systems ◽  
Functional Design ◽  
Concurrent Software ◽  
Object Based ◽  
Software Prototyping ◽  
And Performance

A software prototyping environment called TransObj (TRANSaction and OBJect) is used for designing real-time Transaction-based Concurrent Software Systems (TCSS). In a TCSS design process, a software designer should perform both functional design and performance design. The designer should change his design view from a transaction-based paradigm to an object-based paradigm during the TCSS design process. Recognition of re-entrant functional objects and serially reusable functional objects in the TCSS should be required. TransObj includes the Stepwise Prototyping Method (SPM), and two SPM-based tools: Prolog-based TransObj (P-TransObj) and GPSS-based TransObj (G-TransObj). SPM enables the designer to advance both functional design and performance design for the TCSS prototype as controling the change of design view paradigms. P-TransObj mainly checks the prototype in a microscopic view on a personal computer. G-TransObj mainly checks the same prototype with a longer time span on a large-scale computer.

Simulation of PID Control of Belt Conveyor System in Coal Mine by an Improved Adaptive Genetic Algorithm

2014 ◽  
Vol 614 ◽  
pp. 215-218 ◽  
Author(s):  
Lei Yu ◽  
Xu Long Zhang ◽  
Feng Wang
Keyword(s):  
Genetic Algorithm ◽  
Coal Mine ◽  
Pid Control ◽  
Pid Controller ◽  
Parameters Optimization ◽  
Step Response ◽  
Adaptive Genetic Algorithm ◽  
Belt Conveyor ◽  
Conveyor System ◽  
And Performance

In order to improve the problem of premature and performance of optimization, an improved adaptive genetic algorithm is proposed for parameters optimization of coal mine belt conveyor PID controller by applying the number of iterations to the crossover operation and mutation operation of genetic algorithm. The simulation shows that the step response of the improved algorithm is superior to the traditional adaptive genetic algorithm.

scholarly journals Client Server Communication with Effective Resource Balancing in Cloud Computing using Genetic Algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 6498-6502
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Dynamic Systems ◽  
The Internet ◽  
Distributed Network ◽  
Time Cost ◽  
Cost Performance ◽  
Client Server ◽  
Dynamic Resource ◽  
And Performance

A network in computers consists of a set of interconnected computers using an appropriate technique. In cloud computing, every client and server is unique and has different processing capability. Each server is independent where resource allocation is an important feature for the system to appear as a single network. So the performance of the system depends on the allocation of work among the servers effectively. It is the combination of various factors like latency, throughput, consistency, reliability, and performance. The concept of dynamic resource balancing can be introduced to efficiently manage the factors to be fulfilled in a distributed network. Every client in the network benefits from dynamic resource balancing. In turn, all tasks benefit from resource balancing. The resource balancing comprises of both physical and logical features. The time, cost, performance must be optimized through resource balancing. The paper describes a model for resource balancing in the system to manage the performance through the Internet in cloud computing. This proposed algorithm can be applied to n-processor dynamic systems. This will prove effective to reduce the server resources

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