Critical Components to Build a Data Center

A number of components are required to build a fully operational data center. In this paper we address these components as being integral to the core infrastructure, shared services, and application layers that make up the initial data center. The critical feature of extensibility is built in to ensure future incremental growth to ensure the most efficient development at the lowest possible cost.

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A Service-Based Approach for Intelligent-Agent Frameworks

This paper describes a service-based Intelligent Agent (IA) approach for machine learning and data mining of distributed heterogeneous data streams.  We focus on an open architecture framework that enables the programmer/analyst to build an IA suite for mining, examining and evaluating heterogeneous data for semantic representations, while iteratively building the probabilistic model in real-time to improve predictability.  The Framework facilitates model development and evaluation while delivering the capability to tune machine learning algorithms and models to deliver increasingly favorable scores prior to production deployment.  The IA Framework focuses on open standard interoperability, simplifying integration into existing environments.

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Avum Presents A Service-Based Approach For Intelligent Agent Frameworks

Avum presented their service-based Intelligent Agent (IA) approach for machine learning and data mining of distributed heterogeneous data streams at the 2011 International Telemetering Conference. The open architecture framework enables the programmer/analyst to build an IA suite for mining, examining and evaluating heterogeneous data for semantic representations, while iteratively building the probabilistic model in real-time to improve predictability.

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