An Asynchronous Replica Consistency Model in Data Grid

2005 ◽  
pp. 475-484 ◽  
Author(s):  
Jiafu Hu ◽  
Nong Xiao ◽  
Yingjie Zhao ◽  
Wei Fu
Keyword(s):  
Data Grid ◽  
Consistency Model ◽  
Replica Consistency

scholarly journals Access Weight Replica Consistency Protocol for Large Scale Data Grid

2008 ◽  
Vol 4 (2) ◽  
pp. 103-110
Author(s):  
Mohammed Radi ◽  
Ali Mamat ◽  
M. Mat Deris ◽  
Hamidah Ibrahim ◽  
Subramaniam Shamala
Keyword(s):  
Large Scale ◽  
Data Grid ◽  
Large Scale Data ◽  
Consistency Protocol ◽  
Replica Consistency ◽  
Scale Data

Replica consistency in a Data Grid

2004 ◽  
Vol 534 (1-2) ◽  
pp. 24-28 ◽  
Author(s):  
Andrea Domenici ◽  
Flavia Donno ◽  
Gianni Pucciani ◽  
Heinz Stockinger ◽  
Kurt Stockinger
Keyword(s):  
Data Grid ◽  
Replica Consistency

Strategies for replica consistency in data grid - a comprehensive survey

2016 ◽  
Vol 29 (4) ◽  
pp. e3907 ◽  
Author(s):  
Priyanka Vashisht ◽  
Anju Sharma ◽  
Rajesh Kumar
Keyword(s):  
Data Grid ◽  
Comprehensive Survey ◽  
Replica Consistency

A Longitudinal Study of Mental Health in Emerging Adults

2014 ◽  
Vol 73 (3) ◽  
pp. 135-141 ◽  
Author(s):  
Monica S. Bachmann ◽  
Hansjörg Znoj ◽  
Katja Haemmerli
Keyword(s):  
Mental Health ◽  
Longitudinal Study ◽  
Emerging Adults ◽  
Poor Mental Health ◽  
Need Satisfaction ◽  
Computer Assisted ◽  
Consistency Model ◽  
Negative Effect ◽  
The Cross ◽  
Health Model

Emerging adulthood is a time of instability. This longitudinal study investigated the relationship between mental health and need satisfaction among emerging adults over a period of five years and focused on gender-specific differences. Two possible causal models were examined: (1) the mental health model, which predicts that incongruence is due to the presence of impaired mental health at an earlier point in time; (2) the consistency model, which predicts that impaired mental health is due to a higher level of incongruence reported at an earlier point in time. Emerging adults (N = 1,017) aged 18–24 completed computer-assisted telephone interviews in 2003 (T1), 2005 (T2), and 2008 (T3). The results indicate that better mental health at T1 predicts a lower level of incongruence two years later (T2), when prior level of incongruence is controlled for. The same cross-lagged effect is shown for T3. However, the cross-lagged paths from incongruence to mental health are marginally associated when prior mental health is controlled for. No gender differences were found in the cross-lagged model. The results support the mental health model and show that incongruence does not have a long-lasting negative effect on mental health. The results highlight the importance of identifying emerging adults with poor mental health early to provide support regarding need satisfaction.

“Analytical Techniques for Development Planning” (A Review Of Tims' Multisector Model For Pakistan'S Third Plan (1965-70))

1968 ◽  
Vol 8 (2) ◽  
pp. 240-263
Author(s):  
Azizur Rahman Khan
Keyword(s):  
Analytical Techniques ◽  
Development Planning ◽  
General Idea ◽  
Relative Prices ◽  
Scarce Resources ◽  
Sectoral Output ◽  
Consistency Model ◽  
Present Decade ◽  
Optimizing Model ◽  
Multisector Model

In the present decade there has been a great proliferation of multisectoral models for planning. Part of the incentive has certainly been the potentiality of their application in formulating the actual plans. By now there have been so many different types of multisectoral models that it is useful to attempt some kind of classification according as whether or not they embody certain well-known features. The advantage of such a classification is that one gets a general idea about the structure of the model simply by knowing where it belongs in the list of classification. One broad principle of classification is based on whether the model simply provides a consistent plan or whether it also satisfies some criteria of optimality. A multisectoral consistency model provides an allocation of the scarce resources (e.g., investment and foreign exchange) in such a way that the sectoral output levels are consistent with some given consumption or income target, consistency in this context meaning that the supply of each sector's output is matched by demand generated by intersectoral and final use at base-year relative prices. To the extent that the targets are flexible, there may be many such feasible plans. An optimizing model finds the "best" possible allocation of resources among sectors, the "best" being understood in the sense of maximiz¬ing > a given preference function subject to the constraints that ensure that the plan is also feasible.

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