Abstract
As complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as well as the resources states, and the large number of resources involved, the importance of problem solving environments has been more emphasized. As a PSE for metacomputing environment, Adaptive Distributed Computing Environment (ADViCE) has been developed before the emergence of Grid computing services. Current runtime systems for computing mainly focus on executing applications with static resource configuration and do not adequately change the configuration of application execution environments dynamically to optimize the application performance. In this paper, we present an architectural overview of ADViCE and discuss how it is evolving to incorporate Grid computing services to extend its range of services and decrease the cost of development, deployment, execution and maintenance for an application. We provide that ADViCE optimize the application execution at runtime adaptively optimize based on application requirements in both non-Grid and Grid environment with optimal execution options. We have implemented the ADViCE prototype and currently evaluating the prototype and its adaptive services for a larger set of Grid applications.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 119-128 |
| Number of pages | 10 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3165 |
| State | Published - 2004 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
A grid-enabled adaptive problem solving environment. / Kim, Yoonhee; Ra, Ilkyun; Hariri, Salim A; Kim, Yangwoo.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3165, 2004, p. 119-128.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A grid-enabled adaptive problem solving environment
AU - Kim, Yoonhee
AU - Ra, Ilkyun
AU - Hariri, Salim A
AU - Kim, Yangwoo
PY - 2004
Y1 - 2004
N2 - As complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as well as the resources states, and the large number of resources involved, the importance of problem solving environments has been more emphasized. As a PSE for metacomputing environment, Adaptive Distributed Computing Environment (ADViCE) has been developed before the emergence of Grid computing services. Current runtime systems for computing mainly focus on executing applications with static resource configuration and do not adequately change the configuration of application execution environments dynamically to optimize the application performance. In this paper, we present an architectural overview of ADViCE and discuss how it is evolving to incorporate Grid computing services to extend its range of services and decrease the cost of development, deployment, execution and maintenance for an application. We provide that ADViCE optimize the application execution at runtime adaptively optimize based on application requirements in both non-Grid and Grid environment with optimal execution options. We have implemented the ADViCE prototype and currently evaluating the prototype and its adaptive services for a larger set of Grid applications.
AB - As complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as well as the resources states, and the large number of resources involved, the importance of problem solving environments has been more emphasized. As a PSE for metacomputing environment, Adaptive Distributed Computing Environment (ADViCE) has been developed before the emergence of Grid computing services. Current runtime systems for computing mainly focus on executing applications with static resource configuration and do not adequately change the configuration of application execution environments dynamically to optimize the application performance. In this paper, we present an architectural overview of ADViCE and discuss how it is evolving to incorporate Grid computing services to extend its range of services and decrease the cost of development, deployment, execution and maintenance for an application. We provide that ADViCE optimize the application execution at runtime adaptively optimize based on application requirements in both non-Grid and Grid environment with optimal execution options. We have implemented the ADViCE prototype and currently evaluating the prototype and its adaptive services for a larger set of Grid applications.
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M3 - Article
AN - SCOPUS:35048820941
VL - 3165
SP - 119
EP - 128
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
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