Nested QoS: providing flexible performance in shared IO environment
WIOV'11 Proceedings of the 3rd conference on I/O virtualization
A flexible approach to efficient resource sharing in virtualized environments
Proceedings of the 8th ACM International Conference on Computing Frontiers
QBox: guaranteeing I/O performance on black box storage systems
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
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The growing popularity of hosted storage services and shared storage infrastructure in data centers is driving the recent interest in resource management and QoS in storage systems. The bursty nature of storage workloads raises significant performance and provisioning challenges, leading to increased infrastructure, management, and energy costs. We present a novel dynamic workload shaping framework to handle bursty workloads, where the arrival stream is dynamically decomposed to isolate its bursts, and then rescheduled to exploit available slack. We show how decomposition reduces the server capacity requirements dramatically while affecting QoS guarantees minimally. We present an optimal decomposition algorithm RTT and a recombination algorithm Miser, and show the benefits of the approach by performance evaluation using several storage traces.