Information Services and Process Innovation Lab

Storage QoS management is about enabling multiple applications to share storage, while receiving individually desired levels of service. This allows users to consolidate applications with differing requirements, such as transactional and batch workloads, onto a common storage platform without over-provisioning resources. We are developing several techniques for storage QoS management, including adaptive resource control, dynamic workload throttling, and admission control.

Selected Publications:

• Adaptive Control of Virtualized Resources in Utility Computing Environments, Pradeep Padala, Xiaoyun Zhu, Mustafa Uysal, Zhikui Wang, Sharad Singhal, Arif Merchant, Kenneth Salem, and Kang Shin, To appear in EuroSys 2007, March 2007, Lisbon, Portugal.

• Performance Virtualization for Distributed Storage Systems via Proportional Sharing, Yin Wang and Arif Merchant, To appear in 5th USENIX Conference on File and Storage Technology (FAST'07), February 2007, San Jose, CA.

• Triage: performance differentiation for storage systems using adaptive control (PDF, 431KB), Magnus Karlsson, Christos Karamanolis and Xiaoyun Zhu, ACM Transactions on Storage, Vol 1, No 4, pp. 458-480, November 2005.

• Façade: Virtual storage devices with performance guarantees (PDF, 697KB), Christopher Lumb, Arif Merchant and Guillermo Alvarez, Proc. of Conf. on File and Storage Technology (FAST'03), pp. 131-144, March/April 2003, San Francisco, CA.

» Download the latest Adobe Acrobat Reader