Project Specific Breakout Sessions
Approach: We have proposed to adapt reservations for aggregate real-time traffic based on a "Gaussian predictor", which uses on-line measurements of traffic statistics. The effectiveness of such approach is heavily dependent on the choice of measurement window. Our simulation study based on actual audio traces shows that dynamic reservations using one-minute Gaussian predictor can achieve average packet loss rate of less than 1% while incurring only 7% resource over-provisioning.
Recent Progress: We extended the analysis to multiple domain case using a hierarcical Clearing House architecture to facilitate end-to-end aggregate reservations. In our model, we assume the network is composed of various network domains which can be aggregated to form a hierarchy of logical domains. A distributed CH architecture is associated with each logical domain to coordinate intra-domain reservations and perform admission control. We explore, with simulations, the efficiency of the CH architecture in terms of throughput, call blocking rate and reservation setup time.
Next Steps: We plan to quantify the sensitivity of Gaussian predictor to both the measurement window and the time-scale of traffic changes, by experimenting with a vareity of workloads, including video and Internet traffic. We will evaluate different approaches to perform admission control, and explore how the Clearing House can leverage a network monitoring service.
Recent Publication:
A paper on highly concurrent b-trees (ps)
Approach: We plan to use the following two cases to explore using congestion pricing for admission control and load balancing. The first case is when lots of users want to use an Internet-to-PSTN gateway to make and receive telephone calls from their computers. The second case is when lots of users need to use an access router to send and receive IP packets. For these two cases, we plan to perform simulations and deploy actual systems.
Recent Progress: During the fall of 1999, we had 12 CS graduate students using an Internet-to-PSTN gateway service to make and receive phone calls. During the spring of 2000, we had 50 students in the EECS department using our service.
Next Steps: We plan to deploy our Internet-to-PSTN gateway service in the fall to 200 students in the UC Berkeley dorms. In the fall, we also plan to replace our research group's access router with a Nortel programmable router that uses prices to decide whose packets to drop during congestion.
Last update: July 24, 2000
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