Cloud Server Benchmark Suite for Evaluating New Hardware Architectures

被引:1
作者
Wu, Hao [1 ]
Liu, Fangfei [1 ]
Lee, Ruby B. [1 ]
机构
[1] Princeton Univ, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
Cloud Computing; benchmarks; behavior characterization; performance evaluation; gem5; simulation;
D O I
10.1109/LCA.2016.2597818
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Adding new hardware features to a cloud computing server requires testing both the functionality and the performance of the new hardware mechanisms. However, commonly used cloud computing server workloads are not well-represented by the SPEC integer and floating-point benchmark and Parsec suites typically used by the computer architecture community. Existing cloud benchmark suites for scale-out or scale-up computing are not representative of the most common cloud usage, and are very difficult to run on a cycle-accurate simulator that can accurately model new hardware, like gem5. In this paper, we present PALMScloud, a suite of cloud computing benchmarks for performance evaluation of cloud servers, that is ready to run on the gem5 cycle-accurate simulator. We conduct a behavior characterization and analysis of the benchmarks. We hope that these cloud benchmarks, ready to run on a dual-machine gem5 simulator or on real machines, can be useful to other researchers interested in improving hardware micro-architecture and cloud server performance.
引用
收藏
页码:14 / 17
页数:4
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