MARIO Mashup Automation for Realtime Invocation & Orchestration

1. MARIO Mashup Automation for Realtime Invocation & Orchestration Energy Trading Case

2. Illustrative Example: Fear and Opportunity in the Gulf • News Flash: • Hurricane Dean Upgraded to Category 5 • Path Projected through Gulf • Oil Stocks Uniformly Down • If you saw it coming, because you watched for more primal data… • Like hurricane path predictions from NOAA • Or even weather satellite and/or sensor data • Real-time equities trade data • If you’ve been accumulating intelligence on the location (and value) of company assets that could be in the path… • If you could apply such analysis before the news cycle… • You could take advantage – in both directions… Same story, viewed 2 hours later. The story’s the same, but… …the live tickers tell a different story Oil company stocks down, based on early fears. Properties with significant assets in path are still down More affected companies have been identified(a bit late, no?) Others are up, showing recovery even beforethe storm hits

3. Recommendations Based on Hurricane Forecast Capture market data (high volume) Compute portfolio market indicators (low latency) Correlate combined risk and trade VWAP to determine buy/sell recommendations Make recommendations and notify DHTML Result rendering Capture weather sensor data, analyses hurricane predicted path Dynamically updated risk assessment for assets in projected path Estimate impact on portfolios Real-time projections of hurricane path Web Zero platform System S platform