scholarly journals Multi-state grid resource availability characterization

2007 ◽  
Author(s):  
Brent Rood ◽  
Michael J. Lewis
Keyword(s):  
Resource Availability ◽  
Grid Resource

ACQUIRING KNOWLEDGE IN A GRID SYSTEM VIA A RESOURCE DISCOVERY SCHEME

2011 ◽  
Vol 02 (01) ◽  
pp. 1-28 ◽  
Author(s):  
KONSTANTINOS I. KARAOGLANOGLOU ◽  
HELEN D. KARATZA
Keyword(s):  
Resource Availability ◽  
Resource Discovery ◽  
Virtual Organizations ◽  
Grid System ◽  
Grid Resource ◽  
Grid Systems ◽  
Limited Knowledge ◽  
Adequate Knowledge ◽  
Well Function ◽  
Grid Resources

This paper studies a resource discovery scheme for a Grid system comprised of virtual organizations (VOs). The proposed scheme suggests that routers and resources comprise VOs within a Grid system, where a router controls locally a number of resources. The router also maintains the connections of each VO with other VOs in the system. Each VO acquires only partial/limited knowledge of the availability of resources controlled by other VOs in the system. When a request for a specific resource is created in a VO of the system, the goal is to discover an appropriate resource for its satisfaction, and subsequently to effectively direct this request. The proposed resource discovery scheme takes into consideration the fact that VOs only acquire a limited knowledge of the system and manages to extend this knowledge without affecting negatively the satisfaction of requests. During the satisfaction of requests, the proposed resource discovery scheme supports and enhances the VOs of the system in order to gain better knowledge of the Grid resource availability. As the creation and satisfaction of requests progress, the VOs manage to acquire an adequate knowledge of the Grid resources, enhancing the overall system's well-function. Finally, this paper presents the performance evaluation of the resource discovery scheme by providing a number of simulation tests in Grid systems of different sizes.

scholarly journals Ensuring GRID resource availability with the SAM framework in LHCb

2008 ◽  
Vol 119 (6) ◽  
pp. 062025
Author(s):  
J Closier ◽  
S Paterson ◽  
R Santinelli
Keyword(s):  
Resource Availability ◽  
Grid Resource

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

Social development of modern Russia: trends, risks, prospects

2018 ◽  
pp. 76-89
Author(s):  
E. M. Avraamova ◽  
V. N. Titov
Keyword(s):  
Middle Class ◽  
Social Development ◽  
Social Structure ◽  
Structure Formation ◽  
Resource Availability ◽  
Social Dynamics ◽  
Quantitative Estimation ◽  
Resource Potential ◽  
Institutional Conditions ◽  
Resource Characteristics

The analysis of present-time directions in the study of social development has allowed to identify the resource approach as the most productive one which enables to assess social dynamics through the range of resource characteristics of different population groups and abilities of the relevant groups to apply development resources in the current economic and institutional conditions. Basing on the sociological survey conducted by ISAP RANEPA, the quantitative estimation of material and social recourses of the population has been made; integral values of the resource potential have been calculated as well. The issues of social structure formation are analyzed through the aspect of resource availability; the barriers of Russian middle-class enlargement are defined.

Analysis on Vehicle Energy Demand and Key Mineral Resource Availability for Vehicle Production in China

2018 ◽  
Vol 20 (1) ◽  
pp. 127
Author(s):  
Tianduo Peng ◽  
Zhiyi Yuan ◽  
Jiehui Yuan ◽  
Xufeng Zhu ◽  
Xunmin Ou
Keyword(s):  
Mineral Resource ◽  
Resource Availability ◽  
Energy Demand ◽  
Vehicle Production

Modeling the co-evolution of economic institutions and the economy of resource producing regions

2020 ◽  
Vol 18 (4) ◽  
pp. 122-131
Author(s):  
Vadim F. Islamutdinov ◽  
Sergey P. Semenov
Keyword(s):  
Economic Growth ◽  
Resource Availability ◽  
Regional Economy ◽  
Cumulative Effect ◽  
Volterra Equations ◽  
Economic Institutions ◽  
Predator Prey Model ◽  
Resource Endowment ◽  
Disincentive Effect ◽  
Good Institution

The purpose of the study is to develop a model for the co-evolution of the regional economy and economic institutions. The research methods used: abstract-logical for the study of theoretical aspects and the experience of modeling co-evolution; and economic-mathematical for the development of own model of coevolution. The results of the study: approaches to modeling the evolution of economic institutions, as well as the co-evolution of the regional economy and economic institutions are considered, strengths and weaknesses of existing approaches to modeling co-evolution are identified, on the basis of the logistic model and Lotka-Volterra equations, an own co-evolution model has been developed, which includes three entities: regional economy, “good” institution and “bad” institution. Three versions of the model have been developed: the co-evolution of the regional economy and the “good” institution, the co-evolution of the regional economy and the “bad institution,” and a variant of the co-evolution of all three entities simultaneously, in which the “good” and “bad” institutions interact according to the “predator-prey” model, and their the cumulative effect determines the development of the regional economy. Numerical experiments have been carried out in the MathLab, which have shown the capabilities of the model to reflect the results of the co-evolution of the economy of a resource-producing region and economic institutions. In the first variant, a “good” institution promotes economic growth in excess of the level determined by resource availability. In the second variant, the “bad” institution has a disincentive effect on the GRP, as a result of which the GRP falls below the level determined by the resource endowment. In the third variant, the interaction of “good” and “bad” institutions still contributes to economic growth above the level determined by resource availability, but causes cyclical fluctuations in the GRP.

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