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B2B Integration : A Practical Guide to Collaborative E-commerce

B2B Integration : A Practical Guide to Collaborative E-commerce

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480 <strong>B2B</strong> <strong>Integration</strong> — A <strong>Practical</strong> <strong>Guide</strong> <strong>to</strong> <strong>Collaborative</strong> E-<strong>commerce</strong><br />

addition, with the use of a network of computers, businesses can<br />

logically distribute large computational jobs across several computers<br />

and the results can be shared directly among participating peers.<br />

Through the use of computing resources untapped in the past, which<br />

reduce the load on main servers and allow them <strong>to</strong> perform specialized<br />

services, organizations can dramatically lower the processing costs and<br />

speed up the process completion times.<br />

DATASYNAPSE SPREADING THE COMPUTING POWER<br />

DataSynapse helps cus<strong>to</strong>mers harness idle and underused computing<br />

power in their network. They provide a product called WebProc*,<br />

which is a peer-<strong>to</strong>-peer platform for distributing compute-intensive<br />

application processes <strong>to</strong> idle and underutilized resources. The solution<br />

does not discriminate, based on whether the resources are in rackmounted<br />

servers or high-performance desk<strong>to</strong>p PCs. As long as they're<br />

on the enterprise network, WebProc will use them <strong>to</strong> perform<br />

demanding processing tasks.<br />

The solution integrates easily with the corporation's existing<br />

network environment. Employees never notice that WebProc is<br />

working, because it only takes control of a desk<strong>to</strong>p PC when that<br />

PC is idle. Should a worker return <strong>to</strong> his desk during a computation,<br />

WebProc immediately interrupts the processing task and reroutes it <strong>to</strong><br />

another idle system.<br />

The results of the DataSynapse WebProc solution are impressive.<br />

In one installation at a retail banking corporation, where crunching<br />

complex derivatives contracts requires a lot of power, performance<br />

improved by a fac<strong>to</strong>r of 80. Baseline time <strong>to</strong> process 200 trades on an<br />

existing server was 44 minutes. By distributing those computations<br />

across 100 Intel®-based PCs, the job finished in 33 seconds.<br />

Completing such jobs faster is invaluable <strong>to</strong> a financial services<br />

company. It can boost the productivity of traders, allow a bank <strong>to</strong><br />

react more swiftly <strong>to</strong> abrupt economic changes and generally increase<br />

the number of trades a company can conduct. What's more, scaling<br />

Continue on page 481

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