scholarly journals Prediction Mechanism – A Novel Approach for OverLoad Management in a Distributed Computing System

2020 ◽  
Vol 171 ◽  
pp. 2097-2104
Author(s):  
Nimmol P. John ◽  
V.R. Bindu
Keyword(s):  
Distributed Computing ◽  
Computing System ◽  
Novel Approach ◽  
Overload Management ◽  
Prediction Mechanism

A Monte Carlo method for uncertainty evaluation implemented on a distributed computing system

Metrologia ◽  
2007 ◽  
Vol 44 (5) ◽  
pp. 319-326 ◽  
Author(s):  
T J Esward ◽  
A de Ginestous ◽  
P M Harris ◽  
I D Hill ◽  
S G R Salim ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Distributed Computing ◽  
Computing System ◽  
Uncertainty Evaluation

A distributed computing system for multivariate time series analyses of multichannel neurophysiological data

2006 ◽  
Vol 152 (1-2) ◽  
pp. 190-201 ◽  
Author(s):  
Andy Müller ◽  
Hannes Osterhage ◽  
Robert Sowa ◽  
Ralph G. Andrzejak ◽  
Florian Mormann ◽  
...  
Keyword(s):  
Time Series ◽  
Distributed Computing ◽  
Multivariate Time Series ◽  
Computing System ◽  
Neurophysiological Data ◽  
Time Series Analyses

scholarly journals Monitoring distributed computing beyond the traditional time-series histogram

2020 ◽  
Vol 245 ◽  
pp. 03036
Author(s):  
M S Doidge ◽  
P. A. Love ◽  
J Thornton
Keyword(s):  
Time Series ◽  
Distributed Computing ◽  
Real Time ◽  
A Priori ◽  
Time Data ◽  
Use Of Time ◽  
Computing Services ◽  
Monitoring Tools ◽  
Novel Approach ◽  
Current Monitoring

In this work we describe a novel approach to monitor the operation of distributed computing services. Current monitoring tools are dominated by the use of time-series histograms showing the evolution of various metrics. These can quickly overwhelm or confuse the viewer due to the large number of similar looking graphs. We propose a supplementary approach through the sonification of real-time data streamed directly from a variety of distributed computing services. The real-time nature of this method allows operations staff to quickly detect problems and identify that a problem is still ongoing, avoiding the case of investigating an issue a-priori when it may already have been resolved. In this paper we present details of the system architecture and provide a recipe for deployment suitable for both site and experiment teams.

scholarly journals A swift unrest horde system for curtail SDO hit in cloud computing

2018 ◽  
Vol 7 (1.7) ◽  
pp. 156
Author(s):  
S Ravikumar ◽  
E Kannan
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Water Drop ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Motion System ◽  
Novel Approach

One of the immense risk to benefit accessibility in distributed computing is Distributed Denial of Service. Here a novel approach has been proposed to limit SDO [Strewn Defiance of Overhaul] assaults. This has been wanted to accomplish by a canny quick motion horde organize. An astute horde arrange is required to guarantee independent coordination and portion of horde hubs to play out its handing-off tasks. Clever Water Drop calculation has been adjusted for appropriated and parallel advancement. The quick motion system was utilized to keep up availability between horde hubs, customers, and servers. We have intended to reproduce this as programming comprising of different customer hubs and horde hubs

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