Active network vision and reality: lessions from a capsule-based system
Proceedings of the seventeenth ACM symposium on Operating systems principles
A mobile agent-based active network architecture for intelligent network control
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Application Level Error Recovery Using Active Network Nodes
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Configurable active multicast congestion control
Computer Networks: The International Journal of Computer and Telecommunications Networking
On attack causality in internet-connected cellular networks
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Active congestion control using available bandwidth-based congestion detection
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Toward in vivo nanoscale communication networks: utilizing an active network architecture
Frontiers of Computer Science in China
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Active networking is the placement of user-controllable computing functionality in the switching nodes of a network. The end-to-end argument states that functions should be placed "in" the network only if they can be cost-effectively implemented there. We argue that active networking is a natural consequence of the end-to-end argument, because certain functions can be most effectively implemented with information that is only available inside the network. We propose a performance model for quantifying the benefit of implementing a particular functionality solely in the end system versus implementing it through a combination of end system and network support. We show how the model applies to specific services, including congestion control and reliable multicast.