TY - GEN
T1 - A grid-based mobile agent collaborative virtual environment
AU - Neo, Hoon Kang
AU - Lin, QingPing
AU - Liew, Kim Meow
PY - 2005
Y1 - 2005
N2 - This paper describes a large-scale collaborative virtual environment architecture that has the capability of scaling across multiple geographically dispersed resources. The architecture consists of distributed mobile agents working cooperatively in supporting and managing the virtual environments. The mobile agents' tasks include managing persistency and consistency of the virtual worlds, maintaining reliability and efficiency of user interactions, ensuring security and integrity of data and systems, and so on. The mobile agents are autonomous and has the ability of migrating among hosts to maximize resource utilizations. Grid technologies and concepts are introduced into the architecture. These improvements allow the mobile agents to execute and communicate securely in multiple administrative domains. Grid-based scheduling components and polices are integrated to provide intelligent resource optimizations. Furthermore, a better load-balancing can be achieved by utilizing additional or more accurate information like data-user proximity and hosts' workload invariance etc. The result will be a more scalable and robust mobile agent architecture. © 2005 IEEE.
AB - This paper describes a large-scale collaborative virtual environment architecture that has the capability of scaling across multiple geographically dispersed resources. The architecture consists of distributed mobile agents working cooperatively in supporting and managing the virtual environments. The mobile agents' tasks include managing persistency and consistency of the virtual worlds, maintaining reliability and efficiency of user interactions, ensuring security and integrity of data and systems, and so on. The mobile agents are autonomous and has the ability of migrating among hosts to maximize resource utilizations. Grid technologies and concepts are introduced into the architecture. These improvements allow the mobile agents to execute and communicate securely in multiple administrative domains. Grid-based scheduling components and polices are integrated to provide intelligent resource optimizations. Furthermore, a better load-balancing can be achieved by utilizing additional or more accurate information like data-user proximity and hosts' workload invariance etc. The result will be a more scalable and robust mobile agent architecture. © 2005 IEEE.
UR - https://www.scopus.com/pages/publications/33745122491
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33745122491&origin=recordpage
U2 - 10.1109/CW.2005.6
DO - 10.1109/CW.2005.6
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769523781
SN - 9780769523781
VL - 2005
SP - 335
EP - 339
BT - Proceedings - 2005 International Conference on Cyberworlds, CW 2005
T2 - 2005 International Conference on Cyberworlds, CW 2005
Y2 - 23 November 2005 through 25 November 2005
ER -