A simulation study of IP switching
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
IEEE/ACM Transactions on Networking (TON)
Adaptive resource management for flow-based IP/ATM hybrid switching systems
IEEE/ACM Transactions on Networking (TON)
Performance benchmarking of signaling in ATM networks
IEEE Communications Magazine
Internetworking connectionless and connection oriented networks
IEEE Communications Magazine
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In this paper, we develop a framework for the flow classification (FC) design and performance analysis of multi-protocol over ATM (MPOA) network. We propose an FC algorithm, which substantially reduces the implementation complexity while achieving the same level of performance as compared to the default FC algorithm proposed by MPOA standard. We further design an adaptive, self-learning system to achieve a near-optimal flow cache table management in terms of performance gain. The self-learning system is then used for the performance analysis of MPOA. The simulation study based on the real Internet/Intranet traces shows that MPOA can offer significant performance gain in an inter-ELAN environment.