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2002

The potential costs and benefits of long-term prefetching for content distribution

10 years 4 months ago
The potential costs and benefits of long-term prefetching for content distribution
This paper examines the costs and potential benefits of long-term prefetching for content distribution. In traditional short-term prefetching, caches use recent access history to predict and prefetch objects likely to be referenced in the near future. In contrast, long-term prefetching uses long-term steady-state object access rates and update frequencies to identify objects to replicate to content distribution locations. Compared to demand caching, long-term prefetching increases network bandwidth and disk space costs but may benefit a system by improving hit rates. Using analytic models and trace-based simulations, we examine algorithms for selecting objects for long-term prefetching. We find that although the Zipf-like popularity distribution of web objects makes it challenging to prefetch enough objects to significantly improve hit rates, systems can achieve significant benefits at modest costs by focusing on long-lived objects.
Arun Venkataramani, Praveen Yalagandula, Ravi Kokk
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where COMCOM
Authors Arun Venkataramani, Praveen Yalagandula, Ravi Kokku, Sadia Sharif, Michael Dahlin
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