Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Economic models for allocating resources in computer systems
Market-based control
Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Intelligent QoS support for an adaptive video service
Proceedings of the 2000 information resources management association international conference on Challenges of information technology management in the 21st century
A survey of programmable networks
ACM SIGCOMM Computer Communication Review
An Agent-Inspired Active Network Resource Trading Model Applied to Congestion Control
MATA '00 Proceedings of the Second International Workshop on Mobile Agents for Telecommunication Applications
Open Resource Allocation for Mobile Code
MA '97 Proceedings of the First International Workshop on Mobile Agents
Multicasting Multimedia Streams with Active Networks
LCN '98 Proceedings of the 23rd Annual IEEE Conference on Local Computer Networks
A Class of End-to-End Congestion Control Algorithms for the Internet
ICNP '98 Proceedings of the Sixth International Conference on Network Protocols
A survey of active network research
IEEE Communications Magazine
ACC: using active networking to enhance feedback congestion control mechanisms
IEEE Network: The Magazine of Global Internetworking
Scalable fair reliable multicast using active services
IEEE Network: The Magazine of Global Internetworking
CDS: a code distribution scheme for active networks
Computer Communications
Hi-index | 0.00 |
We describe an active application in the field of multicast congestion control for real-time traffic. Our Active Layered Multicast Adaptation Protocol is a layered multicast congestion control scheme built on top of an Active Network infrastructure. It benefits from router support in order to obtain information about resources available and to perform the adaptation tasks at the places where shortage of resources occur. It supports heterogeneous receivers through the combination of layered multicast transmission with selective filtering and pruning of layers within the active nodes. Market-based resource management ideas are applied to achieve a resource utilisation level that represents an equilibrium between the user goals and the node operator goals. Our simulation results show that the protocol is feasible and provides adequate reactions to short term and persistent congestion, while keeping the amount of state and processing in the active nodes limited.