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Software development for real-time engineering systems

Software development for real-time engineering systems. Acknowledgements. These lecture slides were adopted from the slides of Andy Wellings. Book. RTSJ Version 1.0.1. Prerequisites. You should already: be a competent programmer in an imperative programming language like C, C++, C# etc

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Software development for real-time engineering systems

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  1. Software development for real-time engineering systems

  2. Acknowledgements • These lecture slides were adopted from the slides of Andy Wellings

  3. Book RTSJ Version 1.0.1

  4. Prerequisites • You should already: • be a competent programmer in an imperative programming language like C, C++, C# etc • be able to program in sequential Java • have a good understanding of Operating System Principles, in particular the mechanisms needed to support concurrency, e.g. processes, semaphores, etc

  5. Overall technical aims of the course • To understand the basic requirements of concurrent and real-time systems • To be able to create concurrent programs • To be able to create advanced concurrent real-time systems

  6. Concurrent programming • The name given to programming notation and techniques for expressing potential parallelism and solving the resulting synchronization and communication problems • Implementation of parallelism is a topic in computer systems (hardware and software) that is essentially independent of concurrent programming • Concurrent programming is important because it provides an abstract setting in which to study parallelism without getting bogged down in the implementation details

  7. memory processor human floppy tape CD -1 -2 -9 -3 -4 -8 -5 -6 -7 1 2 0 10 10 10 10 10 10 10 10 10 10 10 10 Why we need it • To fully utilise the processor Response time in seconds

  8. CPU I/O Device Initiate I/O Operation Process I/O Request Signal Completion Interrupt I/O Routine I/O Finished Continue with Outstanding Requests Parallelism Between CPU and I/O Devices

  9. Why we need it (cont’d) • To allow the expression of potential parallelism so that more than one computer can be used to solve the problem • Consider trying to find the way through a maze

  10. Sequential Maze Search

  11. Concurrent Maze Search

  12. Why we need it (cont’d) • To model the parallelism in the real world • Virtually all real-time systems are inherently concurrent — devices operate in parallel in the real world • This is, perhaps, the main reason to use concurrency

  13. Air Traffic Control

  14. Why we need it • Alternative: use sequential programming techniques • The programmer must construct the system as the cyclic execution of a program sequence to handle the various concurrent activities • This complicates the programmer's task and involves considerations of structures which are irrelevant to the control of the activities in hand • The resulting programs will be more obscure and inelegant • Decomposition of the problem is more complex • Parallel execution of the program on more than one processor is more difficult to achieve • The placement of code to deal with faults is more problematic

  15. Terminology • A concurrent program is a collection of autonomous sequential processes, executing (logically) in parallel • Each process has a single thread of control • The actual implementation (i.e. execution) of a collection of processes usually takes one of three forms. Multiprogramming • processes multiplex their executions on a single processor Multiprocessing • processes multiplex their executions on a multiprocessor system where there is access to shared memory Distributed Processing • processes multiplex their executions on several processors which do not share memory

  16. What is a real-time system? • A real-time system is any information processing system which has to respond to externally generated input stimuli within a finite and specified period • the correctness depends not only on the logical result but also the time it was delivered • failure to respond is as bad as the wrong response! • The computer is a component in a larger engineering system => EMBEDDED COMPUTER SYSTEM • 99% of all processors are for the embedded systems market

  17. Terminology • Hard real-time — systems where it is absolutely imperative that responses occur within the required deadline. E.g. Flight control systems. • Soft real-time — systems where deadlines are important but which will still function correctly if deadlines are occasionally missed. E.g. Data acquisition system. • Firm real-time — systems which are soft real-time but in which there is no benefit from late delivery of service. • A system may have all hard, soft and firm real-time subsystems. Many systems may have a cost function associated with missing each deadline

  18. A simple fluid control system Interface Pipe Input flow reading Flow meter Processing Valve Output valve angle Time Computer

  19. A Grain-Roasting Plant Bin Furnace Fuel Tank grain Pipe fuel

  20. A Process Control System Process Control Computer Temperature Transducer Finished Products Valve Stirrer Chemicals and Materials PLANT

  21. A Production Control System Production Control System Finished Products Parts Machine Tools Manipulators Conveyor Belt

  22. A Command and Control System Command Post Command and Control Computer Temperature, Pressure, Power and so on Terminals Sensors/Actuators

  23. A Typical Embedded System Real-Time Clock Algorithms for Digital Control Engineering System Interface Remote Monitoring System Data Logging Database Data Retrieval and Display Display Devices Operator’s Console Operator Interface Real-Time Computer

  24. Characteristics of a RTS • Large and complex — vary from a few hundred lines of assembler or C to 20 million lines of Ada estimated for the Space Station • Concurrent control of separate system components — devices operate in parallel in the real-world; better to model this parallelism by concurrent entities in the program • Facilities to interact with special purpose hardware — need to be able to program devices in a reliable and abstract way

  25. Characteristics of a RTS • Extreme reliability and safe — embedded systems typically control the environment in which they operate; failure to control can result in loss of life, damage to environment or economic loss • Guaranteed response times — we need to be able to predict with confidence the worst case response times for systems; efficiency is important but predictability is essential

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