Comparing random data allocation and data striping in multimedia servers

2000 ◽  
Author(s):  
Jose Renato Santos ◽  
Richard R. Muntz ◽  
Berthier Ribeiro-Neto
Keyword(s):  
Data Allocation ◽  
Random Data ◽  
Multimedia Servers ◽  
Data Striping

Comparing random data allocation and data striping in multimedia servers

2000 ◽  
Vol 28 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Jose Renato Santos ◽  
Richard R. Muntz ◽  
Berthier Ribeiro-Neto
Keyword(s):  
Data Allocation ◽  
Random Data ◽  
Multimedia Servers ◽  
Data Striping

Security Test by using F T M and Data Allocation Strategies on Leakage Detection

2005 ◽  
Vol 4 (2) ◽  
pp. 393-400
Author(s):  
Pallavali Radha ◽  
G. Sireesha
Keyword(s):  
Third Party ◽  
Distributed Data ◽  
Data Allocation ◽  
Security Testing ◽  
Sensitive Data ◽  
Sample Data ◽  
The One ◽  
Security Test ◽  
Data Request ◽  
Allocation Strategies

The data distributors work is to give sensitive data to a set of presumably trusted third party agents.The data i.e., sent to these third parties are available on the unauthorized places like web and or some ones systems, due to data leakage. The distributor must know the way the data was leaked from one or more agents instead of as opposed to having been independently gathered by other means. Our new proposal on data allocation strategies will improve the probability of identifying leakages along with Security attacks typically result from unintended behaviors or invalid inputs.  Due to too many invalid inputs in the real world programs is labor intensive about security testing.The most desirable thing is to automate or partially automate security-testing process. In this paper we represented Predicate/ Transition nets approach for security tests automated generationby using formal threat models to detect the agents using allocation strategies without modifying the original data.The guilty agent is the one who leaks the distributed data. To detect guilty agents more effectively the idea is to distribute the data intelligently to agents based on sample data request and explicit data request. The fake object implementation algorithms will improve the distributor chance of detecting guilty agents.

Application of random data techniques to aircraft inlet diagnostics

1970 ◽  
Author(s):  
R. CRITES ◽  
M. HECKART
Keyword(s):  
Random Data

Stock Watcher Application using Google Web Toolkit

2020 ◽  
Author(s):  
Akhilesh Kumar Kondoju ◽  
Revanth Reddy Kontham ◽  
Jinan A. Fiaidhi
Keyword(s):  
Programming Language ◽  
Web Site ◽  
New Technology ◽  
Prototype Model ◽  
Random Data ◽  
The Creation

<div>A simple stock watcher based on Google Web Toolkit (GWT) as the new technology in the creation of rich AJAX applications using only Java as the programming language, which is later on compiled into pure JavaScript and deployed as a regular web site. The user is able to know and manage stock watcher to be</div><div>updated with the latest changes in stock. We used random data as input as it is a prototype model.</div>

Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages

2010 ◽  
Author(s):  
Nadeem Shafique Butt ◽  
Manash Pratim Kashyap ◽  
Dibyojyoti Bhattacharjee
Keyword(s):  
Simulation Study ◽  
Data Generation ◽  
Bernoulli Distribution ◽  
Random Data

scholarly journals Joint Longitudinal Models for Dealing With Missing at Random Data in Trial-Based Economic Evaluations

2021 ◽  
Author(s):  
Andrea Gabrio ◽  
Rachael Hunter ◽  
Alexina J. Mason ◽  
Gianluca Baio
Keyword(s):  
Missing At Random ◽  
Economic Evaluations ◽  
Longitudinal Models ◽  
Random Data
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