CacheCOW: QoS for storage system caches
Pawan Goyal, Divyesh Jadav, Dharmendra S. Modha, Renu Tewari · 2003
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.