MBA^TM
Model Based Architecture^TM
Model-Based Architecture^TM(MBA) is a patented, overarching framework and methodology for systems modeling and design. MBA^TM applies to workflow, modeling processes, component-based system design, iterative modeling and testing during the entire systems' lifecycle.

MBA^TM optimizes systems design with an overarching, disciplined, scientific framework and methodology.

Model-Based Architecture^TM optimizes the dynamic business system in terms of throughput, response time and cost from development through deployment.

Modeling Methodology

• Specific top-down, layered approach
• Considers total system from the business processes perspective.

Development Methodology

• Specifically integrates mathematical modeling into the entire systems lifecycle.

MBA^TM Methodology

• Identifies base case early in the development cycle.
• Detects and contains errors early in the development cycle.
• Serves as a "toll gate" for projects to proceed.
• Benchmarks performance of development system under projected loads (stress).
• Serves as a valuable governance framework.

Results

• Ensures project success
• Avoids cost inflation
• Avoids late-phase rework/redesign
• Provides predictable business outcomes
• Specific top-down, layered approach
• Considers total system from the business processes perspective

Gate^TM Mathematical Engine
Engaging Mathematics
The GATE^TM mathematical engine is the heart of our modeling technology. The layered algorithms used in GATE^TM are capable of representing an incredibly large number of variables each of which have a defined effect and relationship with some or all of the other variables. This enables unsurpassed predictive capability regardless of the complexity of the underlying system.

Along with the model management tools in X-Act^TM and Cascade services, the GATE^TM engine is capable of showing the feasible life of a system under different business growth scenarios or system configuration scenarios. Predict mean time before failure or "hitting the wall."

The GATE^TM Mathematical Engine

• Performs algorithmic modeling calculations

To facilitate the modeling process and ensure accuracy of X-Act^TM services, there are numerous pre-built transformers, for various platforms, that import system attributes and measurements into the process.

Important Measurement and Configuration Attributes:

• CPU usage reports
• Disk I/O reports
• Disk configuration reports
• Application structure and attributes
• Database structures and SQL statements

Once the model is created, it is benchmarked against the performance of the actual system. Modeled performance is usually considered representative if it is within 2% of the reference system under varying load and usage scenarios.

At this point the value of the tool begins to manifest itself. Scenarios can be run using various business and applications drivers, e.g. new accounts double or transaction peak is 3 times previous high etc.

The model accurately predicts system behavior based on business states that do not exist.

The ability to "push" the virtual system to its limits reveals behavior that cannot be uncovered any other way. Immediately reports are available that, with very little analysis, identify constrains and bottlenecks (both logical and technical.) Subjective review will uncover unusual or non-linear response to system dynamics over a given series of states.

Potential solutions can be tested and the merits of each weighed based on the reference model before corrective action is taken. This leads to an unprecedented level of success in improving systems in terms of "getting it right the first time."