A high performance multicasting mechanism in Mobile Grid

The grid would see the countless mobile devices becoming the most important users. However, the bottleneck is still at the last mile from the backbone to these mobile terminals where wireless environment places limitations on the rate and amount of communication. Currently, point-to-multipoint (PTM) communication is an effective solution to this limitation. This paper developed a new PTM mechanism to support efficient access to the multicasting information on the mobile grid. Furthermore, we studied the parallel channels content organization and concurrent content retrieval with or without indexing and caching. The presented algorithms with higher performance could deliver information to more users so as to achieve shorter response time and less network latency, both for the content organization side and for the content retrieval side. The performance was validated in many experiments.

[1]  George Xylomenos.  Group Management for the Multimedia Broadcast/Multicast Service , 2005 .

[2]  John S. Baras,et al.  Adaptive Data Broadcast in Hybrid Networks , 1997, VLDB.

[3]  Ali R. Hurson,et al.  Broadcasting a Means to Disseminate Public Data in a Wireless Environment: Issues and Solutions , 2006, Adv. Comput..

[4]  Tomasz Imielinski,et al.  Data on Air: Organization and Access , 1997, IEEE Trans. Knowl. Data Eng..

[5]  Ming-Syan Chen,et al.  Dynamic generation of data broadcasting programs for a broadcast disk array in a mobile computing environment , 2000, CIKM '00.

[6]  Stefan Parkvall,et al.  Evolving 3G mobile systems: broadband and broadcast services in WCDMA , 2006, IEEE Communications Magazine.

[7]  C. Lee Giles,et al.  Self-adaptive user profiles for large-scale data delivery , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

[8]  I. Foster,et al.  The grid: computing without bounds. , 2003, Scientific American.

[9]  Kien A. Hua,et al.  A new broadcasting technique for an adaptive hybrid data delivery in wireless mobile network environment , 2000, Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086).

[10]  Prashant J. Shenoy,et al.  Adaptive push-pull: disseminating dynamic web data , 2001, WWW '01.

[11]  Stanley B. Zdonik,et al.  Dissemination-based data delivery using broadcast disks , 1995, IEEE Wirel. Commun..

[12]  John Hannan,et al.  Object organization on parallel broadcast channels in a global information sharing environment , 2000, Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086).

[13]  Vincenzo Liberatore.  Multicast scheduling for list requests , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[14]  Wang-Chien Lee,et al.  Power conserving and access efficient indexes for wireless computing , 2001 .

[15]  Nitin H. Vaidya,et al.  Scheduling data broadcast in asymmetric communication environments , 1999, Wirel. Networks.

[16]  Yi-Bing Lin,et al.  Mobile computing: When mobility meets computation - Guest editor's introduction , 1997 .

[17]  J. Banerjee,et al.  Clustering a DAG for CAD Databases , 1988, IEEE Trans. Software Eng..

[18]  Mark Weiser,et al.  Some computer science issues in ubiquitous computing , 1993, CACM.