{"title":"Optimizing JMS Performance for Cloud-Based Application Servers","authors":"Zhenyun Zhuang, Yao-Min Chen","doi":"10.1109/CLOUD.2012.136","DOIUrl":null,"url":null,"abstract":"Many business-oriented services will be gradually offered in the Cloud. Java Message Service (JMS) is a critical messaging technology in Java-based business applications, particularly to those that are based on the Java Enterprise Edition (Java EE) open standard. Maintaining high performance in the horizontally scaled, and elastic, cloud environment is critical to the success of the business applications. In this paper, we present practical considerations in optimizing JMS performance for the cloud deployment, where some of the findings may also serve to improve the design of JMS container so it adapts well to cloud computing. Our work also includes performance evaluation on the proposed strategies.","PeriodicalId":214084,"journal":{"name":"2012 IEEE Fifth International Conference on Cloud Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLOUD.2012.136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Many business-oriented services will be gradually offered in the Cloud. Java Message Service (JMS) is a critical messaging technology in Java-based business applications, particularly to those that are based on the Java Enterprise Edition (Java EE) open standard. Maintaining high performance in the horizontally scaled, and elastic, cloud environment is critical to the success of the business applications. In this paper, we present practical considerations in optimizing JMS performance for the cloud deployment, where some of the findings may also serve to improve the design of JMS container so it adapts well to cloud computing. Our work also includes performance evaluation on the proposed strategies.