Abstract | ||
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The growing popularity of hosted storage services and shared storage infrastructure in data centers is driving the recent interest in performance isolation and QoS in storage systems. Due to the bursty nature of storage workloads, meeting the traditional response-time Service Level Agreements requires significant over provisioning of the server capacity. We present a graduated, distribution-based QoS specification for storage servers that provides cost benefits over traditional QoS models. Our method RTT partitions the workload to minimize the capacity required to meet response time requirements of any specified fraction of the requests. |
Year | DOI | Venue |
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2008 | 10.1145/1462802.1462806 | MW4SOC |
Keywords | Field | DocType |
server capacity,storage server,shared storage infrastructure,storage workloads,service level agreements,storage system,workload decomposition,traditional qos model,traditional response-time,storage service,distribution-based qos specification,data center,qos,response time | Mobile QoS,Service level,Converged storage,Workload,Computer science,Temporal isolation among virtual machines,Server,Computer network,Quality of service,Provisioning | Conference |
Citations | PageRank | References |
3 | 0.41 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lanyue Lu | 1 | 101 | 5.67 |
Kshitij Doshi | 2 | 89 | 10.76 |
Peter J. Varman | 3 | 700 | 83.23 |