{"title":"为什么差?","authors":"J. Cownie","doi":"10.1109/M-PDT.1994.329786","DOIUrl":null,"url":null,"abstract":"Mainframes are expensive. Workstations are cheap. PCs are cheaper. Conclusion: All computing should be done on PCs (or, at a pinch, workstations). This is, of course, a naive conclusion. Even ignoring the Grand Challenges and other problems that demand high performance, there are many other reasons why this conclusion is questionable, and more particularly why the implicit corollary that all computing is distributed (because that’s where the PCs and workstations are) is also wrong. The most important of these are data security, data visibility, performance, and use.","PeriodicalId":325213,"journal":{"name":"IEEE Parallel & Distributed Technology: Systems & Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Why MPPs?\",\"authors\":\"J. Cownie\",\"doi\":\"10.1109/M-PDT.1994.329786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mainframes are expensive. Workstations are cheap. PCs are cheaper. Conclusion: All computing should be done on PCs (or, at a pinch, workstations). This is, of course, a naive conclusion. Even ignoring the Grand Challenges and other problems that demand high performance, there are many other reasons why this conclusion is questionable, and more particularly why the implicit corollary that all computing is distributed (because that’s where the PCs and workstations are) is also wrong. The most important of these are data security, data visibility, performance, and use.\",\"PeriodicalId\":325213,\"journal\":{\"name\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/M-PDT.1994.329786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Parallel & Distributed Technology: Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/M-PDT.1994.329786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mainframes are expensive. Workstations are cheap. PCs are cheaper. Conclusion: All computing should be done on PCs (or, at a pinch, workstations). This is, of course, a naive conclusion. Even ignoring the Grand Challenges and other problems that demand high performance, there are many other reasons why this conclusion is questionable, and more particularly why the implicit corollary that all computing is distributed (because that’s where the PCs and workstations are) is also wrong. The most important of these are data security, data visibility, performance, and use.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
