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CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications |
Chunjie LUO1, Jianfeng ZHAN1( ), Zhen JIA1, Lei WANG1, Gang LU1, Lixin ZHANG1, Cheng-Zhong XU2,3, Ninghui SUN1 |
| 1. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100019, China; 2. Department of Electrical and Computer Engineering,Wayne State University, Detroit, MI 48202, USA; 3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China |
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Abstract With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing systems that are shared for running big data applications.We analyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics: data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, diversity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experiments, we demonstrate the advantages of our proposed metrics. In several case studies, we evaluate two small-scale deployments of cloud computing systems using CloudRank-D.
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| Keywords
data center systems
clouds
big data applications
benchmarks
evaluation metrics
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Corresponding Author(s):
ZHAN Jianfeng,Email:zhanjianfeng@ict.ac.cn
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Issue Date: 01 August 2012
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