Grid computing is the engine that drives the real-time functionality of the Allegro ETRM solution, enabling organizations to execute critical business processes in real-time instead of traditional “batch” or “end-of-day” processes.  Grid computing links together many computers in a networked grid and distributes process-intensive applications among them to greatly enhance processing power and speed.  As a result, companies are able to quickly make informed decisions and accelerate their business.  Profit and loss data, counterparty exposure, and market exposure can be instantly displayed for risk managers, schedulers and traders, enabling complete transparency of every impact to their portfolios.  Additionally, grid computing offers flexibility to an enterprise by allowing them to infinitely scale the size of the grid to meet their specific needs.

• As data points change, such as physical quantity, price or volatility, new calculations occur automatically and that information is instantly distributed and displayed across the enterprise.  This allows for P&L, VaR, MtM, exposure and other metrics to be continuously updated, enabling complete, real-time transparency into business operations.
• With the ability to infinitely scale their system’s processing power, companies can achieve automated real-time processing, replace batch processing and more efficiently utilize computing resources.  As a result, companies benefit from affordable scalability without sacrificing reliability.
• A robust set of grid management capabilities monitor and manage processing across the grid.  Grid logs and queues allow administrators to monitor and gather detailed information on the status of the grid.  Additional grid management features include criteria for specifying and managing incremental runs such as the assembly class and priority of the run.  Allegro’s comprehensive grid management functionality ensures that processes are properly scheduled, monitored and delivered, instantaneously.