Ct Cloud Computing v1!0!091004004543 Phpapp01

8/4/2019 Ct Cloud Computing v1!0!091004004543 Phpapp01

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Cloud Computing Application

in HK & China

Francis NgCluster Technology Limited


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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


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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.


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Cloud Computing Structure

Virtualization

Physical Hardware

Workloads

Cloud services - Request Driven Provisioning

Innovation

Enablement

Software

Development

Web 2.0 Data

IntensiveProcessing

Scalable

TransactionProcessing

VirtualStorage

VirtualApplication

Server

VirtualApplication

Server

VirtualApplication

Server

VirtualNetworks

VirtualServers

MonitoringSLA

Capacity PlanningDynamic

Scheduling

Src: IBM Cloud Computing


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Cost Structure of Public Cloud Service

2 Points to Note: Initial fixed cost is switched from users to service providers

As users become increasingly rely on server access, it is cheaperfor 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

Expense($

Traditional Cloud

FixedCos


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Why AMZN provides Public Cloud Services?

From service providers viewpoints, it has high initialfixed 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 businessuse of it

=> Public Cloud Services is born


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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 withsystem 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


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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 offeringsolutions in this area

Reasons include better data privacy, backup policy could becontrolled by corporations

Future: Public Cloud + Private Cloud => Hybrid Cloud


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About ClusterTech

CLUSTERTECHwas founded in 2000.

CLUSTERTECHheadquarters in the Hong Kong Science Park

CLUSTERTECHhas 70 professional staffs with advanced degrees (16

Ph.D.s) in science and engineering and reputable clients in financial andgovernment sectors.

CLUSTERTECHis a one-stop provider offering high performance computingand business intelligence solutions, through in-house developed CPE, CGE,and CHESS platforms.


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Client Lists

HSBC

Different artificial intelligence modelling techniques were developed toforecast 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


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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)


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Overall Cloud Applications


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Application I: Low Latency Market Data Service

e.g. Reuters, Bloomberg, HKEX


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Application II: Computational Service


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Application III: Parallel Monte Carlo Sim.


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Application IV: Middle Office Data Backup


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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 thecloud 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


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END OF

PRESENTATIONEmail: [email protected]: (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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Ct Cloud Computing v1!0!091004004543 Phpapp01