{"title":"云分布式企业信息系统中并发工作负载处理的建模与仿真","authors":"Alexandru-Florian Antonescu, T. Braun","doi":"10.1145/2627566.2627575","DOIUrl":null,"url":null,"abstract":"Cloud Computing enables provisioning and distribution of highly scalable services in a reliable, on-demand and sustainable manner. Distributed Enterprise Information Systems (dEIS) are a class of applications with important economic value and with strong requirements in terms of performance and reliability. In order to validate dEIS architectures, stability, scaling and SLA compliance, large testing deployments are necessary, adding complexity to the design and testing of such systems. To fill this gap, we present and validate a methodology for modeling and simulating such complex distributed systems using the CloudSim cloud computing simulator, based on measurement data from an actual distributed system. We present an approach for creating a performance-based model of a distributed cloud application using recorded service performance traces. We then show how to integrate the created model into CloudSim. We validate the CloudSim simulation model by comparing performance traces gathered during distributed concurrent experiments with simulation results using different VM configurations. We demonstrate the usefulness of using a cloud simulator for modeling properties of real cloud-distributed applications.","PeriodicalId":91161,"journal":{"name":"Proceedings. Data Compression Conference","volume":"2003 1","pages":"11-16"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Modeling and simulation of concurrent workload processing in cloud-distributed enterprise information systems\",\"authors\":\"Alexandru-Florian Antonescu, T. Braun\",\"doi\":\"10.1145/2627566.2627575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud Computing enables provisioning and distribution of highly scalable services in a reliable, on-demand and sustainable manner. Distributed Enterprise Information Systems (dEIS) are a class of applications with important economic value and with strong requirements in terms of performance and reliability. In order to validate dEIS architectures, stability, scaling and SLA compliance, large testing deployments are necessary, adding complexity to the design and testing of such systems. To fill this gap, we present and validate a methodology for modeling and simulating such complex distributed systems using the CloudSim cloud computing simulator, based on measurement data from an actual distributed system. We present an approach for creating a performance-based model of a distributed cloud application using recorded service performance traces. We then show how to integrate the created model into CloudSim. We validate the CloudSim simulation model by comparing performance traces gathered during distributed concurrent experiments with simulation results using different VM configurations. We demonstrate the usefulness of using a cloud simulator for modeling properties of real cloud-distributed applications.\",\"PeriodicalId\":91161,\"journal\":{\"name\":\"Proceedings. Data Compression Conference\",\"volume\":\"2003 1\",\"pages\":\"11-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2627566.2627575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2627566.2627575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and simulation of concurrent workload processing in cloud-distributed enterprise information systems
Cloud Computing enables provisioning and distribution of highly scalable services in a reliable, on-demand and sustainable manner. Distributed Enterprise Information Systems (dEIS) are a class of applications with important economic value and with strong requirements in terms of performance and reliability. In order to validate dEIS architectures, stability, scaling and SLA compliance, large testing deployments are necessary, adding complexity to the design and testing of such systems. To fill this gap, we present and validate a methodology for modeling and simulating such complex distributed systems using the CloudSim cloud computing simulator, based on measurement data from an actual distributed system. We present an approach for creating a performance-based model of a distributed cloud application using recorded service performance traces. We then show how to integrate the created model into CloudSim. We validate the CloudSim simulation model by comparing performance traces gathered during distributed concurrent experiments with simulation results using different VM configurations. We demonstrate the usefulness of using a cloud simulator for modeling properties of real cloud-distributed applications.