{"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":"47 1","pages":"0"},"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\":\"47 1\",\"pages\":\"0\"},\"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}
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.