.png){kind=icon}
返回
Performance prediction of parallel computing models to analyze cloud-based big data applications
.png){kind=icon}
PRE
AI
DOI：10.1007/s10586-017-1385-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Performance evaluation of cloud center is a necessary prerequisite to fulfilling contractual quality of service, particularly in big data applications. However, effectively evaluating performance of cloud services is challenging due to the complexity of cloud services and the diversity of big data applications. In this paper, we propose a performance evaluation model for parallel computing models deployed in cloud centers to support big data applications. In this evaluation model, a big data application is divided into lots of parallel tasks and the task arrivals follow a general distribution. In our approach, we also consider factors associated with resource heterogeneity, resource contention among cloud nodes, and data storage strategy, which have an impact on the performance of parallel computing models. Our model also allows us to calculate key performance indicators of cloud center such as mean number of tasks in the system, probability that a task obtains immediate service, and task waiting time. The model can also be used to predict the time of performing applications. We then demonstrate the utility of the model based on simulations and benchmarking using WordCount and TeraSort applications.
Keyword:
Parallel computing model
Big data application
Cloud center
Performance modeling
Embedded Markov chain
Service time
期刊
C
IF:
4.1
论文数:
5.1K
被引数:
7.5K
机构
引用论文
Metal carbonyls—II Carbon monoxide and chloride exchange with some cyclopentadienyl metal carbonyls
PREAI
分享收藏EPSTEIN-BARR-VIRUS-INDUCED LYMPHOPROLIFERATIVE DISORDER CONVERTING TO FATAL BURKITT-LIKE LYMPHOMA IN A BOY WITH INTERFERON- INDUCIBLE CHROMOSOMAL DEFECT.png)
The Lancet
The LancetIF0
PREAI
分享收藏分享收藏Altered expression of genes regulating angiogenesis in experimental androgen‐independent prostate cancerThe Prostate
The ProstateIF0
PREAI
分享收藏X-ray polefigure analyses of texturing and textural hardening observed in mechanical deformation of Bi1.6Pb0.4Sr2Ca2Cu3Oz superconductor HIP cladded on Ag substrateX射线极图分析在Bi1.6Pb0.4Sr2Ca2Cu3Oz超导体于Ag基板上进行机械变形时观察到的织构和织构硬化现象
PREAI
分享收藏
查看更多内容