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Processing overhead studies in resource reservation protocols

Authors: Henning Schulzrinne; Ping Pan;

Processing overhead studies in resource reservation protocols

Abstract

We study the signaling cost factors from two aspects: reservation retry process (or how to recover from reservation blocking), and one-pass signaling. Through simulation, we discover that the reservation retry mechanism used in RSVP is not only process intensive, but also the reservations are slow to converge. We thus explore several design options that can speed up reservation setup and quickly recover from partial reservations. To gain a better understanding of reservation overhead, we have implemented a lightweight one-pass reservation protocol, YESSIR. We show that with careful implementation and by using some of basic hashing techniques to manage flow states, we can achieve good performance with low processing cost. Our YESSIR implementation can support up to 10,000 flow setups per second (or about 300,000 active flows) on a commodity 700 MHz Pentium PC.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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