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Extended Remote Copy or XRC is an IBM zSeries and System z9 mainframe computer technology for data replication. It combines supported hardware and z/OS software to provide asynchronous replication over long distances. It is complementary to IBM's Peer to Peer Remote Copy (PPRC) service, which is designed to operate either synchronously or asynchronously over shorter distances. XRC as a z/OS copy services solution can be compared to Global Mirror for ESS, which is a controller-based solution for

Extended Remote Copy or XRC is an IBM zSeries and System z9 mainframe computer technology for data replication. It combines supported hardware and z/OS software to provide asynchronous replication over long distances. It is complementary to IBM's Peer to Peer Remote Copy (PPRC) service, which is designed to operate either synchronously or asynchronously over shorter distances.

XRC as a z/OS copy services solution can be compared to Global Mirror for ESS, which is a controller-based solution for either the open systems or z/Series environments. Both Global Mirror for ESS (Asynchronous PPRC) and XRC (Global Mirror for z/Series) are asynchronous replication technologies, although their implementations are somewhat different.

Extended Remote Copy or XRC is now known as Global Mirror for z/Series (XRC).

XRC is a z/Series asynchronous disk mirroring technique which is effective over any distance. It keeps the data time consistent across multiple ESS (Enterprise Storage Server) or HDS (Hitachi Data Systems) disk subsystems at the recovery site.

XRC functions as a combination of disk (IBM ESS or HDS licensed) Microcode and application code running on a z/Series host and provides a recovery point that is time consistent across multiple disk subsystems.

The host component of the software is called the System Data Mover or SDM. The SDM ensures that no dependent writes are made out of sequence and data residing on the secondary volumes will always provide a time consistent copy of the primary volumes being mirrored.

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雅馬哈 雅马哈
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楊立昆 杨立昆
Yann LeCun (* 8. Juli 1960[1] in Soisy-sous-Montmorency) ist ein französischer Informatiker. Er ist Träger des Turing Awards 2018.

杨立昆(法语:Yann André Le Cun,1960年7月8日—),本名扬·安德烈·勒丘恩,是一名法国计算机科学家,2018年图灵奖得主,他在机器学习计算机视觉移动机器人计算神经科学等领域都有很多贡献。他最著名的工作是在光学字符识别计算机视觉上使用卷积神经网络,他也被称为卷积网络之父。[1][2]他同莱昂·伯托和帕特里克·哈夫纳(Patrick Haffner)等人创建了DjVu图像压缩技术。他同莱昂·伯托开发了Lush语言。2019年他同约书亚·本希奥以及杰弗里·辛顿共同获得计算机学界最高奖项图灵奖

Yann LeCun (* 8. Juli 1960[1] in Soisy-sous-Montmorency) ist ein französischer Informatiker. Er ist Träger des Turing Awards 2018.

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姚期智
姚期智(英语:Andrew Chi-Chih Yao;1946年12月24日—),男,汉族,湖北孝感人,生于上海,中国计算机科学家,2000年图灵奖得主,是目前唯一一位获得此奖项的华人。现任北京清华大学交叉信息研究院院长、北京清华大学理论计算机科学研究中心主任兼教授、香港中文大学博文讲座教授、新竹国立清华大学荣誉讲座,以及国立台湾大学特聘研究讲座教授,香港中文大学(深圳)杰出大学教授。

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姚期智(英语:Andrew Chi-Chih Yao;1946年12月24日—),男,汉族湖北孝感人,生于上海中国计算机科学家,2000年图灵奖得主,是目前唯一一位获得此奖项的华人。现任北京清华大学交叉信息研究院院长、北京清华大学理论计算机科学研究中心主任兼教授[2]香港中文大学博文讲座教授[3]、新竹国立清华大学荣誉讲座[4],以及国立台湾大学特聘研究讲座[5]教授,香港中文大学(深圳)杰出大学教授[6]

Andrew Chi-Chih Yao (chinesisch 姚期智, Pinyin Yáo Qīzhì; * 24. Dezember 1946 in ShanghaiRepublik China) ist ein chinesischer Informatiker an der Tsinghua-UniversitätChina. Für seine Forschungsergebnisse im Bereich der theoretischen Informatik, insbesondere der Komplexitätstheorie erhielt er im Jahr 2000 den Turing Award.

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