CacheCOW: QoS for Storage System Caches (2003)
| Venue: | In International Workshop on Quality of Service (IWQoS |
| Citations: | 18 - 1 self |
BibTeX
@INPROCEEDINGS{Goyal03cachecow:qos,
author = {Pawan Goyal and Divyesh Jadav and Dharmendra Modha and Renu Tewari},
title = {CacheCOW: QoS for Storage System Caches},
booktitle = {In International Workshop on Quality of Service (IWQoS},
year = {2003},
pages = {498--516}
}
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Abstract
Managed hosting and enterprise wide resource consolidation trends are increasingly leading to sharing of storage resources across multiple classes, corresponding to different applications/customers, each with a different Quality of Service (QoS) requirement. To enable a storage system to meet diverse QoS requirements, we present two algorithms for dynamically allocating cache space among multiple _classes of workloads. Our algorithms dynamically adapt the cache space allocated to each class depending upon the observed response time, the temporal locality of reference, and the arrival pattern for each class. Using trace driven simulations collected from large storage system installations, we experimentally demonstrate the following properties of CacheCOW.
Keyphrases
storage system cache cache space storage system multiple class temporal locality storage resource different quality large storage system installation enterprise wide resource consolidation trend multiple _classes diverse qos requirement different application customer observed response time arrival pattern following property
