Dung Nguyen, André Luckow, Edward B. Duffy, Ken E. Kennedy, A. Apon
{"title":"高可用性云流系统的性能和价格评估","authors":"Dung Nguyen, André Luckow, Edward B. Duffy, Ken E. Kennedy, A. Apon","doi":"10.1109/CCGRID.2018.00056","DOIUrl":null,"url":null,"abstract":"This paper presents a systematic evaluation of Amazon Kinesis and Apache Kafka for meeting highly demanding application requirements. Results show that Kinesis and Kafka can provide high reliability, performance and scalability. Cost and performance trade-offs of Kinesis and Kafka are presented for a variety of application data rates, resource utilization, and resource configurations.","PeriodicalId":321027,"journal":{"name":"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Evaluation of Highly Available Cloud Streaming Systems for Performance and Price\",\"authors\":\"Dung Nguyen, André Luckow, Edward B. Duffy, Ken E. Kennedy, A. Apon\",\"doi\":\"10.1109/CCGRID.2018.00056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a systematic evaluation of Amazon Kinesis and Apache Kafka for meeting highly demanding application requirements. Results show that Kinesis and Kafka can provide high reliability, performance and scalability. Cost and performance trade-offs of Kinesis and Kafka are presented for a variety of application data rates, resource utilization, and resource configurations.\",\"PeriodicalId\":321027,\"journal\":{\"name\":\"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2018.00056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2018.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Highly Available Cloud Streaming Systems for Performance and Price
This paper presents a systematic evaluation of Amazon Kinesis and Apache Kafka for meeting highly demanding application requirements. Results show that Kinesis and Kafka can provide high reliability, performance and scalability. Cost and performance trade-offs of Kinesis and Kafka are presented for a variety of application data rates, resource utilization, and resource configurations.