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【大数据架构与系统】VMware主管工程师堵俊平分享了大数据5点趋势:Hadoop 2.0和YARN在大数据生态系统中扮演资源管理的核心角色;MR不够好,Tez,Spark可能是替代者;HDFS努力支持更多的业务场景;更多的基于Hadoop的SQL引擎,如Drill、 Impala、Stinger;企业级服务,安全、HA、QoS等。
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Big Data in Cloud
堵俊平
Apache Hadoop Committer
Staff Engineer, VMware
Bio 堵俊平 (Junping Du)
- Join VMware in 2008 for cloud product
first
- Initiate earliest effort on big data within
VMware since 2010
- Automate Hadoop deployment on
vSphere which becomes Open Source
project – Serengeti later
- Start contributing to Apache Hadoop
community since 2012
- Become Apache Hadoop committer
recently only 1 in +8 timezone today
Agenda
- Virtualization, SDDC and Cloud
- Trends from my observation in Big
Data
- YARN: resource hub for Big Data
Applications
- YARN in the Cloud
What is Virtualization?
- @see VMware’s vSphere
Monitor Emulates Physical
Devices: CPU, Memory, I/O
VMkernel
Guest
Physical
Hardware
Monitor
Guest
Memory
Manager
NIC Drivers
Virtual Switch
I/O Drivers
File System
Monitor
Scheduler
Virtual NIC Virtual SCSI
TCP/IP
File
System
CPU is controlled by scheduler
and virtualized by monitor
Memory is allocated by the
VMkernel and virtualized by
the monitor
Network and I/O devices are
emulated and proxied though
native device drivers
Server Virtualization Adoption on
Path to 80% Over Next 5 Years
0%
40%
80%
2010
2011
2012
2013
2014
2015
2016
2017
2018
% Virtualized of x86 Workloads
IDC
2012 to 2016
Change = +12 pts
Source(s): IDC: Annual Virtualization Forecast, Feb-13; Gartner: x86 Server Virtualization, Worldwide, 3Q12 Update; Gartner: Forecast x86 Server Virtualization, Worldwide, 2008-2018, Jul-11; VMware estimates,
Note: Server workloads only
1
Installed Base totals assume 5-year refresh
Gartner
2012 to 2016
Change = +22 pts
Total x86 Workloads
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-
20
40
60
80
100
120
140
160
180
200
2009
2010
2011
2012
2013
2014
2015
2016
百万
x86 % Physical
Servers
Unvirtualized
IDC+ VMW
Estimate:
Workloads
1
2012 to 2016
CAGR = 21%
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资源评论
- riyueguanghua_20082014-07-20讲到了一些技术细节,值得一看
- fjqdxq2014-05-28对了解大数据发展有一定的帮助!
makuiyu
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