Aurell, Erik and El-Ansary, Sameh (2005) A Physics-Style Approach to Scalability of Distributed Systems. In: Global Computing. Lecture Notes in Computer Science (3267). Springer, pp. 266-272. ISBN 978-3-540-24101-0
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Is it possible to treat large scale distributed systems as physical systems? The importance of that question stems from the fact that the behavior of many P2P systems is very complex to analyze analytically, and simulation of scales of interest can be prohibitive. In Physics, however, one is accustomed to reasoning about large systems. The limit of very large systems may actually simplify the analysis. As a first example, we here analyze the effect of the density of populated nodes in an identifier space in a P2P system. We show that while the average path length is approximately given by a function of the number of populated nodes, there is a systematic effect which depends on the density. In other words, the dependence is both on the number of address nodes and the number of populated nodes, but only through their ratio. Interestingly, this effect is negative for finite densities, showing that an amount of randomness somewhat shortens average path length. This work is funded by the Swedish funding agency VINNOVA, PPC project and the European PEPITO and EVERGROW projects.
|Item Type:||Book Section|
|Additional Information:||Post-Proceedings of the Global Computing 2004 Workshop (March 2004), Rovereto, Italy|
|Deposited By:||INVALID USER|
|Deposited On:||27 Feb 2008|
|Last Modified:||18 Nov 2009 16:13|
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