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没有“女色”,看看这三位外籍实力派讲什么

正如之前大家了解的那样,本次CSDN主办的中国云计算技术大会,从头到尾都主打“技术和实践”,注意是前沿技术和生产级实践,并且从每一个讲师,每一个议题都精心打磨,力求完美,相信关注我们的读者应该可以了解一二。

除了国内讲师,值得一提的是,这次大会也力邀到顶级的外籍嘉宾,比如华为印研Hadoop工程团队架构师,Hadoop Committer Naganarasimha Garla;Mirantis 的Senior Technical Director Gregory Elkinbard;Databricks,Spark开源版PM,Spark PMC成员Ram Sriharsha。

本文将单独对他们的议题以及个人做一个详细的介绍,看看他们将在本次大会上的演讲重点。为保证原汁原味,我们没做翻译。

Gregory Elkinbard, Mirantis

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Gregory Elkinbard is Sr. Technical Director at Mirantis, where he is responsible for building on-demand IaaS and PaaS layers for public and private clouds at marquis Fortune 1000 and late stage venture-funded customers, with a focus on the intersection of cloud and distributed data storage strategies.

演讲主题OpenStack and Agile IT

OpenStack is the world leading private and public cloud platform. In this presentation we will discuss OpenStack. Discuss the reasons for its success in the industry and its ability to enable agility across different organizations. Explain Mirantis role in the OpenStack development and community, expand on one of the agility use cases, deployment of Virtual Network Services at Telcos and provide few real OpenStack customer stories across different industries.

Naganarasimha Garla,华为印研

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I am currently working on Apache Hadoop, an open source distributed computing system, with Huawei Technologies. I am an Architect in Hadoop Engineering Team. My primary focus in Hadoop has been for YARN and MapReduce. My major contributions has been in YARN Node Labels and YARN ATS feature and I am also a Apache Hadoop Committer. Prior to Hadoop, I worked in providing a Big Data Analaytics (OLAP) capability to Huawei’s Data Platform over HBase.

演讲主题:Evolution of YARN Scheduler

Scheduling layer of Hadoop have significantly evolved from the MRv1 days. Current Scheduler supports variety of applications and heterogenous hardware. Lot of improvements have been done for Multitenant scenarios too. And lot more is coming up to enable YARN to be the defacto Resource Scheduler of any BigData cluster. In this presentation I would like to present evolution of YARN scheduler to present day scheduler and its road map for the future work and how we in Huawei are contributing to it.

Ram Sriharsha,Databricks

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Ram Sriharsha来自Databricks,现担任Apache Spark PM,曾供职于Hortonworks。除此之外,Ram更是一个资深的Apache Spark PMC成员&Commiter。在本次峰会上,Ram将带来一个技术演讲。而在此之外,Ram还会出席CCTC 2016,为大家带来一个更通用的Apache Spark解析。

附上主会议题和四大峰会议题

中国云计算技术大会丨日程和讲师议题全公布

3位Committer,12场国内外技术实践,2016中国Spark技术峰会议题详解

不去奥斯汀同样收获满满,OpenStack技术峰会议题大揭秘

Container峰会议题公开,顶级技术+生产级实践一网打尽

大数据峰会议题公开,顶级技术+实践经验先睹为快

目前剩票已然不多,欲购从速

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