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System Integration Management (SIM)

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Presentation on theme: "System Integration Management (SIM)"— Presentation transcript:

1 System Integration Management (SIM)
Introduction Site Architectures Sample SIM Charts (Source: Pressman, R. Software Engineering: A Practitioner’s Approach. McGraw-Hill, 2005)

2 Introduction

3 What is SIM? Stands for System Integration Management
Directed by the System Integrated Management Office (SIMO) in an organization Focus Implementation/Placement of new computer systems Upgrade of current computer systems Replacement of current computer systems Removal of current computer systems Goals Identify, document, and manage changes to the site architecture Plan a timely, cost-effective, and operationally focused implementation/upgrade/change/removal of computer systems Execute the transition from the baseline architecture to the objective architecture Communicate results of analysis, transition status, issues, resolution plans, and recommendations to senior management

4 Site Architectures Baseline Architecture Objective Architecture
Depicts the computer hardware, software, and network connections currently installed and in use in an organization Objective Architecture Depicts the computer hardware, software, and network connections at a set point of time in the future after specific computer systems have been installed, changed, or removed in an organization

5 System Integration Management Review (SIMR)

6 System Integration Management Review (SIMR)
Conducted monthly by the integration contractor and overseen by the SIMO Attended by upper management, project action officers, users, operators, maintainers, and developers Presents information on status of system integration plans for operations over the next 1, 2, and 5 years

7 Site Architecture

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10 System Integration Chart

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12 Stoplight Chart

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14 Stoplight Chart

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16 Fishbone Chart

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19 Radar Chart (Spiderweb Chart)

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22 Task Network (PERT Chart version)

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25 Timeline Chart

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27 Schedule of Work

28 Quad Chart

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32 ARCHITECTURE DRIVEN CONSTRUCTION AND MONITORING
Professor David C. Luckham Stanford University CONOPS Animation Complex Event Detection Event Constraint Checker Load Analysis Event Detection Network Analysis Tools C I Systems 4 Non-DoD Systems NEW IDEAS Event pattern language expressing both event causality and event timing, for rapidly configuring event filters, aggregators and constraints. Complex event processing based on event patterns, for enhancing the capabilities of existing distributed systems. Java extensions to express architecture concepts with an event-based semantics. Complex event processing and architecture conformance checking, hosted on commercial middleware. SCHEDULE Event-Based Middleware Alpha Beta Final Annotated Java for event generation Instrumented CORBA ORB Instrumented TIBCO Information BUS E-Java Instumented ORB IMPACT Instumented Bus Rapide Complex Event Processing A new highly flexible technology, hosted on all commercial middleware, for improving at runtime, the capabilities and information provided by large scale distributed systems. A new technology for scalable automated checking of conformance of distributed object systems to constraint-based industry and DOD reference architecture standards, including security standards. Design Experimented Final Event pattern language Event aggregation Event pattern constraint checker Pattern Language Event Aggregation Constraint Checker Technology Transition Alpha Beta Final Complex Event Processing hosted on Middleware. Event aggregation & constraint checking of middleware-based applications. Architecture conformance checking. Event Processing Monitoring Diagnostics Arch Conformance AO #D879 1

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34 Quad Chart  NEW IDEAS IMPACT SCHEDULE •
Internal Failures External Threats Situation Fault Awareness High-Level NEW IDEAS Diagnosis Reactive Control Intelligent control methods for mode switching Fault Real-Time Distributed Mode Tolerance Selection Reconfigurable Architecture and fault tolerance in UAVs Reconfigurable Mode Interchangeable control modules that allow for Real Time Sensor Control Switching Processing changing the mission and modes quickly Open, distributed, plug-and-play software architecture for interoperability among heterogeneous components IMPACT SCHEDULE (2-year project) Improved mission effectiveness for UAVs 3 6 9 12 15 18 21 24 Months: (smoother operation, improved Mid-level Coordination maneuverability and robust to failures) Fault-tolerant/Mode switching/ Reconfigurable control algorithms developed. Control algorithms integrated into software architecture. Generic control components transferred to toolkits. Rapid response to mission or operational changes through reconfigurable software architecture for UAVs Increased interoperability among Control Integration and Simulated Demonstration heterogeneous components Multi-level controllers Run-time infrastructure and and sensor processing Hardware-in-the-loop Reduced development costs due to reuse of software architecture developed. modules integrated. simulation demonstrated. generic control algorithms and integration Intelligent VTOL UAV Demonstration patterns Infrastructure developed. Flight Test support developed. test.


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