世界排名第一的CRM规模挑战

{"title":"世界排名第一的CRM规模挑战","authors":"","doi":"10.1109/nas51552.2021.9605424","DOIUrl":null,"url":null,"abstract":"In this talk, we will first describe scale challenges of the world's #1 CRM (Customer Relationship Management) platform that operates from the Cloud, executes billions of business tractions daily for hundreds of thousands of customer companies around the world. We will then describe how Salesforce researchers and engineers utilize computer science principles such as Amdahl's Law, temporal and spatial locality, plus big data and machine learning, to make software execute fast and efficiently on various types of compute, network, and storage architectures to meet the ever growing scale challenges.","PeriodicalId":135930,"journal":{"name":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"World's #1 CRM Scale Challenges\",\"authors\":\"\",\"doi\":\"10.1109/nas51552.2021.9605424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this talk, we will first describe scale challenges of the world's #1 CRM (Customer Relationship Management) platform that operates from the Cloud, executes billions of business tractions daily for hundreds of thousands of customer companies around the world. We will then describe how Salesforce researchers and engineers utilize computer science principles such as Amdahl's Law, temporal and spatial locality, plus big data and machine learning, to make software execute fast and efficiently on various types of compute, network, and storage architectures to meet the ever growing scale challenges.\",\"PeriodicalId\":135930,\"journal\":{\"name\":\"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/nas51552.2021.9605424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/nas51552.2021.9605424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本次演讲中,我们将首先描述全球排名第一的CRM(客户关系管理)平台的规模挑战,该平台从云运行,每天为全球数十万家客户公司执行数十亿笔业务。然后,我们将描述Salesforce的研究人员和工程师如何利用计算机科学原理,如阿姆达尔定律,时间和空间局部性,以及大数据和机器学习,使软件在各种类型的计算,网络和存储架构上快速有效地执行,以满足不断增长的规模挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
World's #1 CRM Scale Challenges
In this talk, we will first describe scale challenges of the world's #1 CRM (Customer Relationship Management) platform that operates from the Cloud, executes billions of business tractions daily for hundreds of thousands of customer companies around the world. We will then describe how Salesforce researchers and engineers utilize computer science principles such as Amdahl's Law, temporal and spatial locality, plus big data and machine learning, to make software execute fast and efficiently on various types of compute, network, and storage architectures to meet the ever growing scale challenges.
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