Addressing Scalability Issues in Large-Scale Collaborative Virtual Environment
The existing Collaborative Virtual Environment (CVE) systems have limited scalability due to the constraints in computer processing power and network bandwidth of participating hosts. In this paper, we propose a new approach for heterogeneous internet based users to construct large-scale CVE (LCVE)...
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| creator | Lin, Qingping Zhang, Liang Neo, Norman Kusuma, Irma |
| description | The existing Collaborative Virtual Environment (CVE) systems have limited scalability due to the constraints in computer processing power and network bandwidth of participating hosts. In this paper, we propose a new approach for heterogeneous internet based users to construct large-scale CVE (LCVE) system: Mobile Agent Based Framework for LCVE (MACVE). In MACVE, the system workloads are decomposed into independent and fine grained tasks. The tasks are modelled as mobile agents which are not bound to any fixed nodes as the traditional CVE architectures do. As the mobile agents can migrate or clone dynamically at any suitable participating host include traditional servers and qualified user hosts, the system workloads can be distributed more pervasively to avoid potential bottleneck. This improves the scalability of LCVE. Experiments results have demonstrated the scalability of our proposed approach. |
| doi_str_mv | 10.1007/11784203_42 |
| format | Conference Proceeding |
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In this paper, we propose a new approach for heterogeneous internet based users to construct large-scale CVE (LCVE) system: Mobile Agent Based Framework for LCVE (MACVE). In MACVE, the system workloads are decomposed into independent and fine grained tasks. The tasks are modelled as mobile agents which are not bound to any fixed nodes as the traditional CVE architectures do. As the mobile agents can migrate or clone dynamically at any suitable participating host include traditional servers and qualified user hosts, the system workloads can be distributed more pervasively to avoid potential bottleneck. This improves the scalability of LCVE. Experiments results have demonstrated the scalability of our proposed approach.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540356387</identifier><identifier>ISBN: 354035638X</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540356394</identifier><identifier>EISBN: 3540356398</identifier><identifier>DOI: 10.1007/11784203_42</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; CVE ; Exact sciences and technology ; mobile agent ; network architecture ; Pattern recognition. Digital image processing. 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In this paper, we propose a new approach for heterogeneous internet based users to construct large-scale CVE (LCVE) system: Mobile Agent Based Framework for LCVE (MACVE). In MACVE, the system workloads are decomposed into independent and fine grained tasks. The tasks are modelled as mobile agents which are not bound to any fixed nodes as the traditional CVE architectures do. As the mobile agents can migrate or clone dynamically at any suitable participating host include traditional servers and qualified user hosts, the system workloads can be distributed more pervasively to avoid potential bottleneck. This improves the scalability of LCVE. Experiments results have demonstrated the scalability of our proposed approach.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>CVE</subject><subject>Exact sciences and technology</subject><subject>mobile agent</subject><subject>network architecture</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>scalability</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540356387</isbn><isbn>354035638X</isbn><isbn>9783540356394</isbn><isbn>3540356398</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpVkLtOAzEQRc1LIgqp-IFtKCgWxh4_1mUU8YgUQcGjteysNzJsvJG9iZS_Z6NQwDRTnKOrmUvINYU7CqDuKVUVZ4CGsxMy0apCwQGFRM1PyYhKSktErs_-sUqdkxEgsFIrjpdkkvMXDINUqEqPyMu0rpPPOcRV8ba0rXWhDf2-mOe89bkIsVjYtPLlgfli1rWD0SXbh50vPkPqt7YtHuIupC6ufeyvyEVj2-wnv3tMPh4f3mfP5eL1aT6bLsoNo7ovReMq7dHpGpjQXksrvVWI0lqhlgpAssbJGrhjXEnP-fB_VXshZe2QQ4NjcnPM3dg8XNYkG5chm00Ka5v2hmoKvNIweLdHLw8ornwyruu-s6FgDp2aP53iD7DuYvQ</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Lin, Qingping</creator><creator>Zhang, Liang</creator><creator>Neo, Norman</creator><creator>Kusuma, Irma</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Addressing Scalability Issues in Large-Scale Collaborative Virtual Environment</title><author>Lin, Qingping ; Zhang, Liang ; Neo, Norman ; Kusuma, Irma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-5fb89e3b9d0259e96a6ea7336aa57c70062fb6d04b2476e440078de566db340f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>CVE</topic><topic>Exact sciences and technology</topic><topic>mobile agent</topic><topic>network architecture</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>scalability</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Qingping</creatorcontrib><creatorcontrib>Zhang, Liang</creatorcontrib><creatorcontrib>Neo, Norman</creatorcontrib><creatorcontrib>Kusuma, Irma</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Qingping</au><au>Zhang, Liang</au><au>Neo, Norman</au><au>Kusuma, Irma</au><au>Peng, Qunsheng</au><au>Nishita, Tomoyuki</au><au>Seidel, Hans-Peter</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Addressing Scalability Issues in Large-Scale Collaborative Virtual Environment</atitle><btitle>Advances in Computer Graphics</btitle><date>2006</date><risdate>2006</risdate><spage>477</spage><epage>485</epage><pages>477-485</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540356387</isbn><isbn>354035638X</isbn><eisbn>9783540356394</eisbn><eisbn>3540356398</eisbn><abstract>The existing Collaborative Virtual Environment (CVE) systems have limited scalability due to the constraints in computer processing power and network bandwidth of participating hosts. In this paper, we propose a new approach for heterogeneous internet based users to construct large-scale CVE (LCVE) system: Mobile Agent Based Framework for LCVE (MACVE). In MACVE, the system workloads are decomposed into independent and fine grained tasks. The tasks are modelled as mobile agents which are not bound to any fixed nodes as the traditional CVE architectures do. As the mobile agents can migrate or clone dynamically at any suitable participating host include traditional servers and qualified user hosts, the system workloads can be distributed more pervasively to avoid potential bottleneck. This improves the scalability of LCVE. Experiments results have demonstrated the scalability of our proposed approach.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11784203_42</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advances in Computer Graphics, 2006, p.477-485 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19104890 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Computer systems and distributed systems. User interface CVE Exact sciences and technology mobile agent network architecture Pattern recognition. Digital image processing. Computational geometry scalability Software |
| title | Addressing Scalability Issues in Large-Scale Collaborative Virtual Environment |
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