๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Content-based network resource allocation for real time remote laboratory applications

โœ Scribed by Ankush Mittal; Amit Pande; Praveen Kumar

Book ID
107499106
Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
713 KB
Volume
4
Category
Article
ISSN
1863-1703

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Hopfield neural-network-based dynamic re
Hopfield neural-network-based dynamic resource allocation scheme for non-real-time traffic in wireless networks
โœ Josรฉ F. Monserrat; Daniel Calabuig; Lorenzo Rubio; Narcรญs Cardona ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 647 KB

## Abstract Dynamic resource allocation (DRA) plays a fundamental role in current and future wireless networks, including 3G systems. In this paper, a scheduling DRA scheme for nonโ€realโ€time (NRT) packet services in wireless system is proposed based on the use of Hopfield neural networks (HNN). The

Adaptive resource negotiation based cont
Adaptive resource negotiation based control for real time applications
โœ T.-Y Tan; T.-H Cheng; S.K Bose; T.-Y Chai ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 269 KB

In this paper, we focus on providing quality-of-service (QoS) control in terms of packet loss and delay for interactive real-time applications. We propose a new scheme to ยฎnd the optimal values of token bucket parameters, token generation rate r and token bucket size b, from the observed real-time t