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With object storage systems being increasingly recognized as a preferred way to expose one's storage infrastructure to the web, the past few years have witnessed an explosion in the acceptance of these systems. Unfortunately, the proliferation of available solutions and the complexity of each individual one, coupled with a lack of dedicated workload, makes it very challenging for one to evaluate and tune the performance of different systems. To help address this problem, we present the Cloud Object Storage Benchmark (COSBench). It is a benchmark tool that we have developed at Intel with the goal of facilitating both performance comparison and system optimization of these systems. In this paper, we describe the design and implementation of this tool, focusing on its extensibility and scalability. In addition, we discuss how people can use this tool to perform system characterization and how the latter can facilitate system comparison and optimization. To demonstrate the value of our tool, we report the results of our experiments conducted on two Swift setups we built in our lab. We also share some of our experiences in turning our setups to achieve higher performance.

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Server consolidation, by running multiple virtual machines on top of a single platform with virtualization, provides an efficient solu-tion to parallelism and utilization of modern multi-core processors system. However, the performance and scalability of server con-solidation solution on modern massive advanced server is not well addressed. In this paper, we conduct a comprehensive study of Xen per-formance and scalability characterization running SPECvirt_sc2010, and identify that large memory and cache footprint, due to the unnecessary high frequent context switch, introduce additional challenges to the system performance and scalability. We propose two optimizations (dynamically-allocable tasklets and context-switch rate controller) to improve the performance. The results show the improved memory and cache efficiency with a reduction of the overall CPI, resulting in an improvement of server consolidation capability by 15% in SPECvirt_sc2010. In the meantime, our optimization achieves an up to 50% acceleration of service response, which greatly improves the QoS of Xen virtualization solution.