2. 企業IT升級雲端趨勢
PC Server Cloud Appliance
Less Space
Higher Elasticity
Higher Availability 2~30 nodes
(near 16~480 VMs,
Higher Performance calc. by 16 VMs/node )
Lower TCO
Physical Virtual
•Fixed Computing Power •Elastic Computing Power
•Isolated Single Machine •Scalable Computing Resource
•Limited Storage Space •Scalable Storage Resource
•Single OS and Local Apps •Multiple OS and Remote Apps
•Single Client Device •Multiple Client Device
2
3. 雲端伺服器(Cloud Appliance)產品
Server/Storage Appliance Application Appliance
annualized order will soon hit 1 Billion USD in 2012
3
16. 特色2.多種客戶機作業系統支援(Guest OS)
OS Category OS Type and Version
Linux RHEL6 64bit
Linux RHEL5 64bit
Linux SLES11 SP1 64bit
Linux Fedora15 64bit
Windows Windows Server 2003 64bit
Windows Windows Server 2003R2 64bit
Windows Windows Server 2008 32bit
Windows Windows Server 2008 64bit
Windows Windows Server 2008R2 64bit
16
27. Scenario 1:
Consolidate Web Application Servers
Online e-commerce test application (http://linux.dell.com/dvdstore), with a
back-end database component, a Web application layer, and driver
programs
• 4 Physical Machines (as is) Duration: 1 hour
DB
Web A Web B Web C PrimeClient
server
SUSE SUSE SUSE SUSE Win2008
• Cloud Appliance (to be)
DBServer WebA WebB WebC PrimeClient
SUSE SUSE SUSE SUSE Win2008
CAKE Compute Client
Center Node Node Machine
Storage
Server
27
28. (cont.):Physical Machine v.s. Virtual Machine
Performance Benchmarking
Orders Per Minute Avg Response Time(ms)
3000 (The lower the better)
2500 180
160
2000 140
120
1500 100
80
1000
60
500 40
20
0 0
Native CAKE Native CAKE
Items WebA WebB WebC
total number of orders processed 142675 157146 142704
orders per minute 2377 2619 2378
maximum rt_tot seen by last 100 users in 137 87 149
milliseconds
average of rt_tot over all orders in milliseconds 140 143 140
total number of logins during run 114111 125971 114323
total number of new customer registrations during 28564 31175 28381
run
total number of browses during run 426729 470731 427773
28
30. Scenario 3:
VM auto-scaling for Large-scale Web-based Application
Load Balancer
Service
OS
8 增加服務
量
User / Developper
1 環境提出
需求申請虛擬叢集 自動擴增 5
Scale out
Service Service Service
6 OS OS OS
管理者審核 VM Alert
7
2 虛擬叢集 (VM scale out 通知)
3 連線使用者增加
佈署 VM
傳送 4
佈署需求
VM Monitoring
(觀察 connection變
化)
30
44. 雲端儲存服務系統備份方案
Windows •Remote Backup
Backup Center RSYNC
Internet
Internet
Mac OS X
Time Machine
Volume Snapshot
Internet
•Customized Cloud Backup •Local USB Backup
44
45. 雲端儲存服務系統 Scale-up 與 Scale-out
>1 K ~10 K users
Scale up to bigger storage
Scale out to multiple boxes
45
46. CAFÉ 在大學院校運用模式
Virtualization、
E-Commerce/Marketing、 Smart Living、IoT、
Scalable Web Application、
ERP、CRM、HR、 . . Big Data 、 . .
Hadoop、 . .
雲端應用服務 雲端學程實習 雲端創新研發
應用雲
桌面雲
儲存雲
主機雲
46