Large Asian Bank Getting Ready for the Cloud:"Empowering Traders and Risk Managers using GigaSpaces XAP, .NET and Excel"

Large Asian Bank: Pain Points

Before :

Sales and traders ran numerous spreadsheet models on their individual desktops

Calculation was not fast enough and PCs are not as reliable as servers

Retrieve market data, deal data, and account data from Sybase---long roundtrip time

May not be using the latest version of the models developed by quants

Data has no semantics, mixing transaction data and pricing parameters in the Excel spreadsheet models

Large Asian Bank: Value Proposition

Now :

Move computational tasks to the cloud. Spreadsheets are merely GUIs for parameter inputs and data viewing

Calculation speeds up by 5 times. Using the same number of cores, MC simulation went from 30 seconds to 5 seconds. More servers, faster computation

If a PC crashes, simply restart, no loss of data or computation time

Retrieve market data, deal data, and account data from the cloud in milliseconds

With Sharepoint server and the cloud, 10 sales and 3 traders always use the latest version of models

ARCHITECTURE MERGING GS & HPC SERVER

HPC Server2008

HPC Server 2008:Prioritize jobs, suppress resources for PUs of lower priority jobs if necessary

LOW LATENCY MARKET DATA SERVICE

e.g. Reuters, Bloomberg, HKEX…

COMPUTATION SERVICE

HPC Server 2008

PARALLEL MODE

HPC Server2008

MIDDLE OFFICE SI AND DATA BACKUP

EVENT TRIGGER ANALYTICS COMPUTATION

HPC Server2008

Large Asian Bank: Summary

Recap Benefits to the Customer

Move computational tasks to the cloud.

More servers, faster computation

No loss of data or computation time if PC crashes

Retrieve data in milliseconds

Versioning and access control