{"title":"Web-Based Performance Monitor for Distributed Computing","authors":"Kai Hua, Kai Wu, Yi Ding, W. Tsai","doi":"10.1109/ISADS.2015.64","DOIUrl":null,"url":null,"abstract":"Performance monitoring tools have received significant attention recently. On the one side, it is necessary to support managing increasingly complex hardware and software infrastructures; on the other side, it can provide user system load and application running information in real time so as to guide user's resource request scheme and program optimization. The hot research issues are associated with some important software properties, such as scalability, elasticity, adaptability and timeliness. Based on the ADS principle, to meet large-scale and continuous monitoring of applications online, this paper proposes a Web-based scalable performance monitoring system framework with a flexible configurable network to address the massive amounts performance data obtained in timeliness. An online transport network is constructed in charge of collecting and processing performance data during execution from different node. It can make the global information available at runtime. Several initialized strategies of Tree-based overlay network are discussed in different cases. A tool has been developed and experimented, and it has been to be effective by many statistics.","PeriodicalId":282286,"journal":{"name":"2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISADS.2015.64","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
Performance monitoring tools have received significant attention recently. On the one side, it is necessary to support managing increasingly complex hardware and software infrastructures; on the other side, it can provide user system load and application running information in real time so as to guide user's resource request scheme and program optimization. The hot research issues are associated with some important software properties, such as scalability, elasticity, adaptability and timeliness. Based on the ADS principle, to meet large-scale and continuous monitoring of applications online, this paper proposes a Web-based scalable performance monitoring system framework with a flexible configurable network to address the massive amounts performance data obtained in timeliness. An online transport network is constructed in charge of collecting and processing performance data during execution from different node. It can make the global information available at runtime. Several initialized strategies of Tree-based overlay network are discussed in different cases. A tool has been developed and experimented, and it has been to be effective by many statistics.