Effect of self-similar traffic on the performance and buffer requirements of ATM ABR edge devices
- Mitre Corp., McLean, VA (United States)
- Sandia National Labs., Livermore, CA (United States)
Previous studies demonstrated that Ethemet local area network traffic is statistically self-similar and that the commonly used Poisson models are not able to capture the fractal characteristics of Ethemet traffic. This contribution uses simulated self-similar traffic traces from the MITRE Corporation and Sandia`s simulation software to evaluate the ABR performance of an ATM backbone. The ATM backbone interconnects Ethemet LANs via edge devices such as routers and bridges. We evaluate the overall network performance in terms of throughput, response time, fairness, and buffer requirements. Because typical edge devices perform simple forwarding functions, their usual mechanism for signaling network congestion is packet dropping. Therefore, we believe that the proper provisioning of buffer resources in ATM edge devices is crucial to the overall network performance.
- Research Organization:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 219242
- Report Number(s):
- SAND-96-8534C; CONF-960278-1; ON: DE96006485
- Resource Relation:
- Conference: ATM forum on traffic management subworking group, Los Angeles, CA (United States), 5 Feb 1996; Other Information: PBD: 5 Feb 1996
- Country of Publication:
- United States
- Language:
- English
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