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Cloud Computing Application Cloud Computing Application in HK & Chinain HK & China
Francis NgFrancis NgCluster Technology LimitedCluster Technology Limited
AGENDA
Some History Why AMZN provides Public Cloud Service? Biz model used by IBM and AMZN Cluster Technology Limited
Background Client Descriptions Business Case: Bank of China
AGENDA
Some History
Problem with Grid Computing / Parallel Computing High admin cost
Difficult to use from lay users perspective
Users still have to be aware of the physical hardware layer - # of nodes, etc.
Cloud Computing Users are transparent to the physical hardware through
hardware virtualization
It scale-in / scale-out based on pre-defined usage criteria. Administration cost is decreased.
IT resources are better utilized.
Cloud Computing Structure
Virtualization
Physical Hardware
Workloads
Cloud services - Request Driven Provisioning
InnovationEnablement
SoftwareDevelopment
Web 2.0 DataIntensive
Processing
ScalableTransactionProcessing
VirtualStorage
Virtual Application
Server
Virtual Application
Server
Virtual Application
Server
VirtualNetworks
VirtualServers
MonitoringSLA
Capacity PlanningDynamic
Scheduling
SSrc: IBM Cloud Computingrc: IBM Cloud Computing 發中心發中心
Cost Structure of Public Cloud Service
• 2 Points to Note: Initial fixed cost is switched from users to service providersAs users become increasingly rely on server access, it is cheaper
for users to implement their own IT infrastructure
Cost Structure of Public Cloud andTraditional IT Expense
0
500
1000
1500
2000
2500
1 2 3 4 5 6 7 8 9 10 11No. of Users
IT E
xpen
se (
$)
Traditional Cloud
Fix
ed C
ost
Why AMZN provides Public Cloud Services?
From service providers’ viewpoints, it has high initial fixed cost, so why are they still doing it?
The players are: Google, Amazon, IBM They have already built a hugh IT infrastructure to handle their
peak load.
Internally, AMZN want to utilize their IT resources to save their IT expenditure
Cloud Service solves their own problem. And they could take advantage of their existing IT infrastructure by make business use of it
=> Public Cloud Services is born
Business Model on Cloud Services 1/2
Public Cloud Software as a Service (SaaS) – charge by app. usage/no. of
accounts Google App for Enterprises Saleforce.com
Platform as a Service (PaaS) – charge by partnership with system integrators, app. developed on the platform
Google App Engine Windows Azure Platform (include SQL services, sharePoint services,
Dynamics CRM) Amazon SimpleDB
Infrastructure as a Service (IaaS) – charge by usage (eg. Bandwidth, amount of data accessed/month)
Amazon S3, Amazon EC2
Business Model on Cloud Services 2/2
Private Cloud Offer solutions of hardware setup, software installation,
consultation for corporates, data-centers
Turnover rate is fast
All major cloud service providers are entering and offering solutions in this area
Reasons include better data privacy, backup policy could be controlled by corporations
Future: Public Cloud + Private Cloud => Hybrid Cloud
About ClusterTech
CLUSTERTECH was founded in 2000. CLUSTERTECH headquarters in the Hong Kong Science Park
CLUSTERTECH has 70 professional staffs with advanced degrees (16 Ph.D.s) in science and engineering and reputable clients in financial and government sectors. CLUSTERTECH is a one-stop provider offering high performance computing and business intelligence solutions, through in-house developed CPE, CGE, and CHESS platforms.
Client Lists
HSBC
Different artificial intelligence modelling techniques were developed to forecast capital flows and market directions in foreign exchange.
Hong Kong Observatory
Provided consulting and software implementation on its numerical weather forecast platforms
Ping An Insurance
Provided data cleansing and mining solution to Ping An Insurance on their insurance customer database
Business Case: Bank of China
Problem and Requirements: Fast access on market data
High computational job, lots of batch processing
Required system stability and high availability
Scale-up and scale-out with minimal admin cost
A customized solution with Clouds Architecture: Take advantage of our expertise in parallel computing
Users do not see the physical hardware layers, only “the cloud”
Empowers client with scalable software (SaaS) and infrastructure (IaaS)
Overall Cloud Applications
Application I: Low Latency Market Data Service
e.g. Reuters, Bloomberg, HKEX…
Application II: Computational Service
Application III: Parallel Monte Carlo Sim.
Application IV: Middle Office Data Backup
Business Case Summary
A customized solution with clouds architecture: Software
Low latency market data access An excel module to assign job for parallel monte carlo simulation on the
cloud for fair pricing
Infrastructure Users could assign computational intensive jobs to the cloud Users could take advantage of database stored in the cloud for safe
storage
END OF PRESENTATION
Email: phng@clustertech.comTel: (852) 2655 6158
Units 211-213, Lakeside 1, No 8 Science Park West Avenue,
Hong Kong Science Park, Shatin, NT, Hong Kong.
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