{"title":"monBench: A Database Performance Benchmark for Cloud Monitoring System","authors":"Xinkui Zhao, Jianwei Yin, Chen Zhi, Pengxiang Lin, Shichun Feng, Hao Wu, Zuoning Chen","doi":"10.1109/CLUSTER.2015.94","DOIUrl":null,"url":null,"abstract":"Monitoring system provides a clear insight into the state and performance of service components in cloud computing platforms. It collects metrics from dispersed sensors and stores them in databases for show and future query. To choose the most suitable database for a monitoring system is complex, since the performance requirement on cloud monitoring system in different data centers differs widely. In this paper, we propose a benchmark named monBench to evaluate the performance of databases in cloud monitoring systems. Monbench extracts structural data from real-world monitoring logs to construct the benchmarking workload. Several performance metrics, such as throughput and query time, are evaluated by monBench.","PeriodicalId":187042,"journal":{"name":"2015 IEEE International Conference on Cluster Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTER.2015.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Monitoring system provides a clear insight into the state and performance of service components in cloud computing platforms. It collects metrics from dispersed sensors and stores them in databases for show and future query. To choose the most suitable database for a monitoring system is complex, since the performance requirement on cloud monitoring system in different data centers differs widely. In this paper, we propose a benchmark named monBench to evaluate the performance of databases in cloud monitoring systems. Monbench extracts structural data from real-world monitoring logs to construct the benchmarking workload. Several performance metrics, such as throughput and query time, are evaluated by monBench.