Chapter 7: Dynamic Systems Initiative and the System Definition Model

Overview

In this chapter, we will show how the Distributed System Designers in Visual Studio Team Edition for Software Architects are the first deliverable of the Dynamic Systems Initiative that are aimed at improving the design and validation of distributed systems. We will also describe the System Definition Model architecture and how it can be used to capture distributed system knowledge. We will conclude this chapter by creating a Windows Mobile Device component, described in SDM, that can be plugged into and extend the Application Design surface.

Industries worldwide are investing in simulation technology. Chip, automobile, and aerospace manufacturers, government agencies, and financial firms are increasingly relying on models to simulate real-world behaviors of their products and services. The payoff is to cheaply predict or uncover design flaws or operational errors in the product or service before they're laboriously produced, tested , and deployed into the real world.

With the industry aimed toward simulating increasingly complex systems, advances in hardware are being pursued at a breakneck pace. Today's supercomputers exercise models at teraflop speeds to simulate rapid crash tests of fenders. In five years , the computing industry hopes to build a supercomputer running at petaflop speeds capable of simulating the impact of the entire car system.

Advances in software tools give users enhanced capability to capture models of complex systems and exercise them within virtual computer environments. For instance, specialized software tools help to create clinical models that enable medical students to virtually visualize and even feel patient procedures.

Yet, for all this virtual computerization, businesses are ill prepared to effectively preempt problems within their own increasingly complex and costly information technology (IT) infrastructure. They are unable to use software to readily understand the often significant effects a change in one part of their system can have on their overall environment.

The rate and intricacies of new business application requirements are swelling. The interdependencies between heterogeneous software and hardware are rising ; and as these interdependencies increase, so does the complexity that spans the entire IT life cycle from designing, developing, and deploying to managing and operating these distributed systems.

While developing these new distributed systems is requiring increasing amounts of effort, time-to-market pressures have never been higher. Increased system complexity drives cross-team coordination to new limits. Deploying new systems often requires buying new hardware, and demands numerous development iterations to optimize the system. Once out the door, the manual nature of operations means that some customers spend as much as 75 percent of their IT budget on system maintenance.

In such an environment, the ability to predict failure is daunting — and failure to predict is costly.

So that's the problem we face — but how to solve it? Well, modeling helps, but modeling by itself is insufficient.

The modeling challenge for IT today is not simply to represent the structure and architecture of each system in a distributed environment or to additionally describe the behavior and processes of these systems. Nor is it to bring more computing power to bear on the models and processes already in place. The challenge is to provide a holistic modeling experience that can persist beyond design, where models share a common definition of IT knowledge and behavior so that they can communicate among themselves , especially within heterogeneous IT environments.

This kind of modeling support is unlikely to come from modeling tools that have little capability to model knowledge and communicate with a system in generic ways. Nor is it likely to come from tools that provide generalized solutions to designing but treat the deployment and operation of these complex distributed systems as an afterthought.

Rather, a new systemic approach is needed, a technology able to shift operational intelligence into the design of the application itself. The Dynamic Systems Initiative, and in particular Systems Definition Modeling, provides that direction. The Dynamic Systems Initiative (DSI) is an effort by Microsoft to deliver, over time, a coordinated set of solutions that dramatically simplify and automate how businesses design, deploy, and operate these distributed systems. At the heart of the DSI is a modeling language called the Systems Definition Model (SDM). SDM is used to create models of distributed systems, which it does by defining system building blocks capable of accurately capturing descriptions and behaviors pertinent to the system's development, deployment, and operation. With SDM, administrators, system integrators, and vendors can create a living blueprint of an entire system, which can be dynamically maintained at any point in the system's life cycle.

This chapter introduces you to the Systems Definition Model (SDM) architecture and describes the runtime environment that allows for modest simulation scenarios, such as validating at design time whether an application can be deployed to a target environment. We then investigate the SDM object model and schema used to author a systems structure and behavior. Lastly, this chapter provides a nontrivial example of Team Architect extensibility using the SDM SDK.

This chapter is developer focused and will not focus on DSI areas such as driving toward more operationally aware Windows platform with virtualization, management technologies and tools, automated deployment, configuration, and monitoring.

It is assumed that the reader has a basic understanding of the XML Schema Definition ( .xsd ) format.