massively distributed javascript computing

Since downstream bandwidth is usually larger than upstream, we have designed a system to send down code for calculations and the raw payload. Once the javascript is completed with the calculation, the answer (which is much smaller than the source payload) can be sent back via the smaller upstream channel.
“Massively distributed javascript computing” works best for scenarios where parallelization is possible and optimal to speeding up overall analysis or calculations. Furthermore, it is ideal when the source payload is large, but the result or answer is small. For example in a data compression scenario.
By: Dr. Augustine Fou Thursday, January 21st, 2010 news

Dr. Augustine Fou is Digital Consigliere to marketing executives, advising them on digital strategy and Unified Marketing(tm). Dr Fou has over 17 years of in-the-trenches, hands-on experience, which enables him to provide objective, in-depth assessments of their current marketing programs and recommendations for improving business impact and ROI using digital insights.

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