Pepper:基于Hadoop的云弹性Web服务器群

S. Krishnan, Jean Christophe Counio
{"title":"Pepper:基于Hadoop的云弹性Web服务器群","authors":"S. Krishnan, Jean Christophe Counio","doi":"10.1109/CloudCom.2010.39","DOIUrl":null,"url":null,"abstract":"Web application based processing is traditionally used to handle high throughput traffic. Web applications are hosted on server farms. However, providing application level scalability and isolation on such server farms has been a challenge. Using cloud-serving infrastructures instead could potentially provide advantages such as scalability, centralized deployment and capacity planning. They also possess attractive qualities such as self-healing as well as ease in isolation and monitoring. The problem with this approach lies in the complicated nature and operational overhead of bootstrapping and operating cloud virtualization infrastructure. We present Pepper, a novel, simple, low cost and elastic web serving cloud platform built leveraging Hadoop and Zookeeper. The design of Pepper demonstrates its ability to run in isolation different web applications and scale dynamically on a cluster of machines. Pepper is being successfully used in Yahoo! to run web applications that acquire and pre-process high frequency web feeds such as breaking news and finance quotes. Pepper processes feeds with low latency with the ability to scale to millions of feeds every day that enables us to retain content freshness.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Pepper: An Elastic Web Server Farm for Cloud Based on Hadoop\",\"authors\":\"S. Krishnan, Jean Christophe Counio\",\"doi\":\"10.1109/CloudCom.2010.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web application based processing is traditionally used to handle high throughput traffic. Web applications are hosted on server farms. However, providing application level scalability and isolation on such server farms has been a challenge. Using cloud-serving infrastructures instead could potentially provide advantages such as scalability, centralized deployment and capacity planning. They also possess attractive qualities such as self-healing as well as ease in isolation and monitoring. The problem with this approach lies in the complicated nature and operational overhead of bootstrapping and operating cloud virtualization infrastructure. We present Pepper, a novel, simple, low cost and elastic web serving cloud platform built leveraging Hadoop and Zookeeper. The design of Pepper demonstrates its ability to run in isolation different web applications and scale dynamically on a cluster of machines. Pepper is being successfully used in Yahoo! to run web applications that acquire and pre-process high frequency web feeds such as breaking news and finance quotes. Pepper processes feeds with low latency with the ability to scale to millions of feeds every day that enables us to retain content freshness.\",\"PeriodicalId\":130987,\"journal\":{\"name\":\"2010 IEEE Second International Conference on Cloud Computing Technology and Science\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Second International Conference on Cloud Computing Technology and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudCom.2010.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2010.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

基于Web应用程序的处理传统上用于处理高吞吐量流量。Web应用程序托管在服务器场上。然而,在这样的服务器群上提供应用程序级别的可伸缩性和隔离一直是一个挑战。使用云服务基础设施可以提供诸如可伸缩性、集中部署和容量规划等潜在优势。它们还具有自我修复以及易于隔离和监控等吸引人的品质。这种方法的问题在于启动和操作云虚拟化基础设施的复杂性和操作开销。我们介绍了Pepper,一个利用Hadoop和Zookeeper构建的新颖、简单、低成本和弹性的web服务云平台。Pepper的设计证明了它能够独立运行不同的web应用程序,并在一个机器集群上动态扩展。Pepper在Yahoo!运行获取和预处理高频web feed(如突发新闻和金融报价)的web应用程序。Pepper以低延迟处理feed,每天可以扩展到数百万个feed,这使我们能够保持内容的新鲜度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pepper: An Elastic Web Server Farm for Cloud Based on Hadoop
Web application based processing is traditionally used to handle high throughput traffic. Web applications are hosted on server farms. However, providing application level scalability and isolation on such server farms has been a challenge. Using cloud-serving infrastructures instead could potentially provide advantages such as scalability, centralized deployment and capacity planning. They also possess attractive qualities such as self-healing as well as ease in isolation and monitoring. The problem with this approach lies in the complicated nature and operational overhead of bootstrapping and operating cloud virtualization infrastructure. We present Pepper, a novel, simple, low cost and elastic web serving cloud platform built leveraging Hadoop and Zookeeper. The design of Pepper demonstrates its ability to run in isolation different web applications and scale dynamically on a cluster of machines. Pepper is being successfully used in Yahoo! to run web applications that acquire and pre-process high frequency web feeds such as breaking news and finance quotes. Pepper processes feeds with low latency with the ability to scale to millions of feeds every day that enables us to retain content freshness.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信