Abstract
This paper describes a new framework for Grid-enabled advanced DVE (Distributed Virtual Environment) which provides a dynamic execution environment by supporting discovery and configuration of resources, mechanism of security, efficient data management and distribution. While the previous DVEs have provided static execution environment only considering communication functions and efficient application performance, the proposed framework adds resource, security management, extended data management to static execution environment using Grid services, and then brings dynamic execution environment which result in QoS (Quality of Service) enhanced environment better performance.The framework consists of two components: Grid-dependent component and Communication-dependent component. Grid-dependent component includes RM (Resource Manager), SDM (Static Data Manager), DDM (Dynamic Data Manager), SYM (Security Manager). Communication-dependent component is composed of SNM (Session Manager) and OM (Object Manager). The components enhance performance and scalability through the DVEs reconfiguration considering resources, and provides mutual authentication mechanism of both servers and clients for protection of resources, application and user data. Moreover, effective data management reduces overhead and network latency by data transmission and replication.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Editors | T.G. Kim |
| Pages | 188-197 |
| Number of pages | 10 |
| Volume | 3397 |
| Publication status | Published - 2005 |
| Event | 13th International Conference on AIS 2004 - Jeju Island, Korea, Republic of Duration: 2004 Oct 4 → 2004 Oct 6 |
Other
| Other | 13th International Conference on AIS 2004 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 04/10/4 → 04/10/6 |
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ASJC Scopus subject areas
- Hardware and Architecture
Cite this
An extensible framework for advanced distributed virtual environment on Grid. / Yoo, Seung H.; Lee, Tae Dong; Jeong, Chang-Sung.
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ed. / T.G. Kim. Vol. 3397 2005. p. 188-197.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An extensible framework for advanced distributed virtual environment on Grid
AU - Yoo, Seung H.
AU - Lee, Tae Dong
AU - Jeong, Chang-Sung
PY - 2005
Y1 - 2005
N2 - This paper describes a new framework for Grid-enabled advanced DVE (Distributed Virtual Environment) which provides a dynamic execution environment by supporting discovery and configuration of resources, mechanism of security, efficient data management and distribution. While the previous DVEs have provided static execution environment only considering communication functions and efficient application performance, the proposed framework adds resource, security management, extended data management to static execution environment using Grid services, and then brings dynamic execution environment which result in QoS (Quality of Service) enhanced environment better performance.The framework consists of two components: Grid-dependent component and Communication-dependent component. Grid-dependent component includes RM (Resource Manager), SDM (Static Data Manager), DDM (Dynamic Data Manager), SYM (Security Manager). Communication-dependent component is composed of SNM (Session Manager) and OM (Object Manager). The components enhance performance and scalability through the DVEs reconfiguration considering resources, and provides mutual authentication mechanism of both servers and clients for protection of resources, application and user data. Moreover, effective data management reduces overhead and network latency by data transmission and replication.
AB - This paper describes a new framework for Grid-enabled advanced DVE (Distributed Virtual Environment) which provides a dynamic execution environment by supporting discovery and configuration of resources, mechanism of security, efficient data management and distribution. While the previous DVEs have provided static execution environment only considering communication functions and efficient application performance, the proposed framework adds resource, security management, extended data management to static execution environment using Grid services, and then brings dynamic execution environment which result in QoS (Quality of Service) enhanced environment better performance.The framework consists of two components: Grid-dependent component and Communication-dependent component. Grid-dependent component includes RM (Resource Manager), SDM (Static Data Manager), DDM (Dynamic Data Manager), SYM (Security Manager). Communication-dependent component is composed of SNM (Session Manager) and OM (Object Manager). The components enhance performance and scalability through the DVEs reconfiguration considering resources, and provides mutual authentication mechanism of both servers and clients for protection of resources, application and user data. Moreover, effective data management reduces overhead and network latency by data transmission and replication.
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M3 - Conference contribution
AN - SCOPUS:26844572648
VL - 3397
SP - 188
EP - 197
BT - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
A2 - Kim, T.G.
ER -