Algorithms for Automatic Data Replication in Grid Environment

2006 ◽  
pp. 707-714 ◽  
Author(s):  
Renata Słota ◽  
Łukasz Skitał ◽  
Darin Nikolow ◽  
Jacek Kitowski
Keyword(s):  
Data Replication ◽  
Grid Environment ◽  
Automatic Data

Diagonal Data Replication in Grid Environment

2007 ◽  
pp. 763-773
Author(s):  
Rohaya Latip ◽  
Hamidah Ibrahim ◽  
Mohamed Othman ◽  
Md Nasir Sulaiman ◽  
Azizol Abdullah
Keyword(s):  
Data Replication ◽  
Grid Environment

Quorum Based Data Replication in Grid Environment

2008 ◽  
pp. 379-386 ◽  
Author(s):  
Rohaya Latip ◽  
Hamidah Ibrahim ◽  
Mohamed Othman ◽  
Md Nasir Sulaiman ◽  
Azizol Abdullah
Keyword(s):  
Data Replication ◽  
Grid Environment

scholarly journals Quorum-based Data Replication in Grid Environment

2009 ◽  
Vol 2 (4) ◽  
pp. 386-397 ◽  
Author(s):  
Rohaya Latip ◽  
Mohamed Othman ◽  
Azizol Abdullah ◽  
Hamidah Ibrahim ◽  
Md Nasir Sulaiman
Keyword(s):  
Data Replication ◽  
Grid Environment

Job scheduling and dynamic data replication in data grid environment

2013 ◽  
Vol 64 (1) ◽  
pp. 204-225 ◽  
Author(s):  
Najme Mansouri ◽  
Gholam Hosein Dastghaibyfard
Keyword(s):  
Job Scheduling ◽  
Data Replication ◽  
Data Grid ◽  
Grid Environment ◽  
Dynamic Data ◽  
Dynamic Data Replication

scholarly journals Optimization of Replica Consistency and Conflict Resolution in Data Grid Environment

2019 ◽  
Vol 4 (6) ◽  
pp. 1420-1433
Author(s):  
Priyanka Vashisht ◽  
Vijay Kumar ◽  
Rajesh Kumar ◽  
Anju Sharma
Keyword(s):  
Conflict Resolution ◽  
Hybrid Approach ◽  
Data Replication ◽  
Quality Data ◽  
Data Grids ◽  
Grid Environment ◽  
Agent Based ◽  
Efficient Access ◽  
Vector Clock ◽  
Replica Consistency

Data replication is widely used mechanism aiming at ensuring efficient access, improving performance and providing quality data in data grids. The properties of file and their replicas can vary with time resulting to inconsistency. In this paper, an agent-based replica consistency approach, namely, Replica Consistency and Conflict Resolution (RCCR) has been proposed to improve the efficiency of the system. RCCR is hybrid approach which is used to address the problem of inconsistency in multi master environment. Additionally, the conflict resolution approach is introduced based on vector clock and version of the replica. Finally, simulated results are presented and compared with existing consistency approaches such as Pessimistic, Optimistic and One-way Replica Consistency (ORCS). The simulated results depicts that proposed RCCR approach performs better when writeable replicas are more likely to occur.

scholarly journals Quorum-based Data Replication in Grid Environment

2009 ◽  
Vol 2 (4) ◽  
pp. 386 ◽  
Author(s):  
Rohaya Latip ◽  
Mohamed Othman ◽  
Azizol Abdullah ◽  
Hamidah Ibrahim ◽  
Nasir Sulaiman
Keyword(s):  
Data Replication ◽  
Grid Environment

A survey on data replication strategies in a Data Grid environment

2017 ◽  
Vol 12 (4) ◽  
pp. 253-269
Author(s):  
Shaik Naseera
Keyword(s):  
Data Replication ◽  
Data Grid ◽  
Grid Environment

Instrumentation For Quantitative Microscopy

1977 ◽  
Vol 35 ◽  
pp. 206-209
Author(s):  
B. Ralph ◽  
A.R. Jones
Keyword(s):  
Volume Fraction ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Automatic Data ◽  
Phase Volume Fraction ◽  
Statistical Confidence ◽  
Resultant Data ◽  
Automatic Data Collection ◽  
Third Dimension ◽  
Evolution Of Microstructure

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.

Data Screening Methods – Application to Differential Diagnosis in Pancreatic Pathology from Radiological Signs

1978 ◽  
Vol 17 (01) ◽  
pp. 36-40 ◽  
Author(s):  
J.-P. Durbec ◽  
Jaqueline Cornée ◽  
P. Berthezene
Keyword(s):  
Differential Diagnosis ◽  
Mutual Information ◽  
Data Processing ◽  
Screening Methods ◽  
Automatic Data ◽  
Chronic Calcifying Pancreatitis ◽  
Number Of Patients ◽  
Calcifying Pancreatitis ◽  
Pancreatic Pathology ◽  
Data Screening

The practice of systematic examinations in hospitals and the increasing development of automatic data processing permits the storing of a great deal of information about a large number of patients belonging to different diagnosis groups.To predict or to characterize these diagnosis groups some descriptors are particularly useful, others carry no information. Data screening based on the properties of mutual information and on the log cross products ratios in contingency tables is developed. The most useful descriptors are selected. For each one the characterized groups are specified.This approach has been performed on a set of binary (presence—absence) radiological variables. Four diagnoses groups are concerned: cancer of pancreas, chronic calcifying pancreatitis, non-calcifying pancreatitis and probable pancreatitis. Only twenty of the three hundred and forty initial radiological variables are selected. The presence of each corresponding sign is associated with one or more diagnosis groups.

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