Ken Salem – Client-Informed Caching for Storage Servers
Traditional caching policies are known to perform poorly for second-tier caches, such as those in storage servers. I'll describe CLIC, a cache management scheme which can manage second-tier caches much more effectively. To achieve this, CLIC exploits hints that are generated by client applications. CLIC is adaptive: it learns how to interpret the hints and use them to guide replacement in the second tier cache. I'll give some examples to illustrate hints and how they are used, and I'll show the results of a few experiments designed to measure CLIC's effectiveness.
Location: DC 1302
Time: 2:45-3:25pm
David R. Cheriton School of Computer Science
University of Waterloo
Waterloo, Ontario, Canada N2L 3G1
Tel: 519-888-4567 x33293
Fax: 519-885-1208
Contact | Feedback: cs-webmaster@cs.uwaterloo.ca | David R. Cheriton School of Computer Science | Faculty of Mathematics
Last modified: Friday, 11-Sep-2009 20:56:36 EDT
