Supporting Mobile Multimedia Services with Intermittently Available Grid Resources

Advances in high quality digital wireless networks and differentiated services have enabled the development of mobile multimedia applications that can execute in global infrastructures. In this paper, we introduce a novel approach to supporting mobile multimedia services by effectively exploiting the intermittently available idle computing, storage and communication resources in a Grid infrastructure. Specifically, we develop efficient resource discovery policies that can ensure continuous access to information sources and maintain application Quality-of-Service (QoS) requirements, e.g. required network transmission bandwidth on the mobile clients. Our performance studies indicate that mobility patterns obtained via tracking or user-supplied itineraries assist in optimizing resource allocation. The proposed policies are also resilient to dynamic changes in the availability of grid resources.

[1]  Anupam Joshi,et al.  On proxy agents, mobility, and web access , 2000, Mob. Networks Appl..

[2]  Prashant Shenoy,et al.  Proxy-Assisted Power-Friendly Streaming to Mobile Devices , 2003, IS&T/SPIE Electronic Imaging.

[3]  Klara Nahrstedt,et al.  Multimedia service configuration and reservation in heterogeneous environments , 2000, Proceedings 20th IEEE International Conference on Distributed Computing Systems.

[4]  David Abramson,et al.  High performance parametric modeling with Nimrod/G: killer application for the global grid? , 2000, Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000.

[5]  Francine Berman,et al.  The AppLeS Project: A Status Report , 1997 .

[6]  Srinivasan Seshan,et al.  Providing Connection-Oriented Network Services to Mobile Hosts , 1993, Symposium on Mobile and Location-Independent Computing.

[7]  Nalini Venkatasubramanian,et al.  QoS-based resource discovery in intermittently available environments , 2002, Proceedings 11th IEEE International Symposium on High Performance Distributed Computing.

[8]  Roy H. Campbell,et al.  Design and performance of MPEG video streaming to palmtop computers , 1999, Electronic Imaging.

[9]  Warren Smith,et al.  Software infrastructure for the I-WAY high-performance distributed computing experiment , 1996, Proceedings of 5th IEEE International Symposium on High Performance Distributed Computing.

[10]  Asit Dan,et al.  An online video placement policy based on bandwidth to space ratio (BSR) , 1995, SIGMOD '95.

[11]  Mohan Kumar,et al.  A cooperative cache architecture in support of caching multimedia objects in MANETs , 2002, WOWMOM '02.

[12]  Songqing Chen,et al.  Adaptive and lazy segmentation based proxy caching for streaming media delivery , 2003, NOSSDAV '03.

[13]  Francine Berman,et al.  The GrADS Project: Software Support for High-Level Grid Application Development , 2001, Int. J. High Perform. Comput. Appl..

[14]  John F. Karpovich,et al.  Resource management in Legion , 1999, Future Gener. Comput. Syst..

[15]  Zygmunt J. Haas,et al.  A new routing protocol for the reconfigurable wireless networks , 1997, Proceedings of ICUPC 97 - 6th International Conference on Universal Personal Communications.

[16]  Asit Dan,et al.  A dynamic policy of segment replication for load-balancing in video-on-demand servers , 2005, Multimedia Systems.

[17]  Randy H. Katz,et al.  Adaptation and mobility in wireless information systems , 2002, IEEE Communications Magazine.

[18]  Krishna M. Sivalingam,et al.  Battery power sensitive video processing in wireless networks , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).