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CPS 110/EE 153 Course Intro

Discover the crucial role of operating systems in providing a virtual machine interface for user applications to interact with hardware. Learn about OS services, resource sharing, protection, security, and more.

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CPS 110/EE 153 Course Intro

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  1. CPS 110/EE 153 Course Intro

  2. User Applications virtual machine interface Operating System Architecture Operating Systems: The Big Picture • The operating system (OS) is the interface between user applications and the hardware. • An OS implements a sort of virtual machine that is easier to program than the raw hardware. physical machine interface [McKinley]

  3. The OS and the Hardware • The OS is the “permanent” software with the power to: • control/abstract/mediate access to the hardware • CPUs and memory • I/O devices • so user code can be: • simpler • device-independent • portable • even “transportable” interrupts Processor Cache Memory Bus I/O Bridge I/O Bus Main Memory Network Interface Disk Controller Graphics Controller Graphics Disk Disk Network

  4. The OS and User Applications • The OS defines a framework for users and their programs to coexist, cooperate, and work together safely, supporting: • concurrent execution/interaction of multiple user programs • shared implementations of commonly needed facilities • “The system is all the code you didn’t write.” • mechanisms to share and combine software components • Extensibility: add new components on-the-fly as they are developed. • policies for safe and fair sharing of resources • physical resources (e.g., CPU time and storage space) • logical resources (e.g., data files, programs, mailboxes)

  5. Overview of OS Services • Storage: primitives for files, virtual memory, etc. • control devices and provide for the “care and feeding” of the memory system hardware and peripherals • Protection and security • set boundaries that limit damage from faults and errors • establish user identities, priorities, and accountability • access control for logical and physical resources • Execution: primitives to create/execute programs • support an environment for developing and running applications • Communication: “glue” for programs to interact

  6. The Four Faces of Your Operating System • service provider • The OS exports commonly needed facilities with standard interfaces, so that programs can be simple and portable. • executive/bureaucrat/juggler • The OS controls access to hardware, and allocates physical resources (memory, disk, CPU time) for the greatest good. • caretaker • The OS monitors the hardware and intervenes to resolve exceptional conditions that interrupt smooth operation. • cop/security guard • The OS mediates access to resources and grants/denies requests.

  7. Other Useful Metaphors • 1. Phone systems • Defines an infrastructure for users to call each other and talk. • - doesn’t dictate who you call; doesn’t dictate what you say • - supports services not imagined by creators, e.g., 900 numbers • 2. Government • Sets rules and balances demands from a diverse community. • Users/subjects want high levels of service with low taxes. • 3. Transportation • Wide range of choices for a wide range of user goals and needs. • - race car: simple interface to powerful technology…goes fast…crashes hard. • - cadillac: makes choices automatically…comfortable…no fun to drive. • - SUV: runs on any terrain…rolls over bumps…burns gas…but gas is cheap.

  8. Studying Operating Systems • This course deals with “classical” operating systems issues: • the services and facilities that operating systems provide; • OS implementation on modern hardware; • (and architectural support for modern operating systems) • how hardware and software evolve together; • the techniques used to implement software systems that are: • large and complex, • long-lived and evolving, • concurrent, • performance-critical.

  9. The World Today desktop clients Servers database file web ... Internet mobile devices Internet appliances Server farms (clusters) LAN/SAN Network

  10. The Big Questions • 1. How to divide function/state/trust across components? • reason about flow of data and computation through the system • 2. What abstractions/interfaces are sufficiently: • powerful to meet a wide range of needs? • efficient to implement and simple to use? • versatile to enable construction of large/complex systems? • 3. How can we build: • reliable systems from unreliable components? • trusted systems from untrusted components? • unified systems from diverse components? • coherent systems from distributed components?

  11. Classical View: The Questions • The basic issues/questions in this course are how to: • allocate memory and storage to multiple programs? • share the CPU among concurrently executing programs? • suspend and resume programs? • share data safely among concurrent activities? • protect one executing program’s storage from another? • protect the code that implements the protection, and mediates access to resources? • prevent rogue programs from taking over the machine? • allow programs to interact safely?

  12. Memory and the CPU 0 OS code CPU OS data Program A data Data R0 x Program B Rn Data x PC registers code library 2n main memory

  13. A First Look at Some Key Concepts • kernel • The software component that controls the hardware directly, and implements the core privileged OS functions. • Modern hardware has features that allow the OS kernel to protect itself from untrusted user code. • thread • An executing stream of instructions and its CPU register context. • virtual address space • An execution context for thread(s) that provides an independent name space for addressing some or all of physical memory. • process • An execution of a program, consisting of a virtual address space, one or more threads, and some OS kernel state.

  14. The Kernel • The kernel program resides in a well-known executable file. • The “machine” automatically loads the kernel into memory (boots) on power-on or reset. • The kernel is (mostly) a library of service procedures shared by all user programs, but thekernel is protected: • User code cannot access internal kernel data structures directly. • User code can invoke the the kernel only at well-defined entry points (system calls). • Kernel code is like user code, but the kernel is privileged: • Kernel has direct access to all hardware functions, and defines the machine entry points for interrupts and exceptions.

  15. A Protected Kernel 0 OS code CPU Mode register bit indicates whether the CPU is running in a user program or in the protected kernel. Some instructions or data accesses are only legal when the CPU is executing in kernel mode. OS data Program A data Data mode R0 x Program B Rn Data x PC registers code library 2n main memory

  16. Threads • A thread is a schedulable stream of control. • defined by CPU register values (PC, SP) • suspend: save register values in memory • resume: restore registers from memory • Multiple threads can execute independently: • They can run in parallel on multiple CPUs... • - physical concurrency • …or arbitrarily interleaved on a single CPU. • - logical concurrency • Each thread must have its own stack.

  17. The Problem of Concurrency

  18. Making It Concrete • It is best to learn the general concepts of systems from a careful study of particulars. • Microsoft Windows and NT (Windows 2000)? • Unix or Sun Microsystem’s Solaris? • MacOS? • Linux or *BSD? • Java? • Nope: we will use “Nachos”.

  19. Course Materials for CPS 110 • Course viewgraphs on the web site • http://www.cs.duke.edu/~chase/cps110 • The Nachos instructional OS • Nachos Project Guide • Nutt: Operating Systems: A Modern Perspective (1998) • Other readings on the course web site • Birrell: An Introduction to Programming with Threads. • etc.?

  20. Nachos Projects • Labs 1-3: concurrency and synchronization • race conditions with processes and threads • implementing/using synchronization for safe concurrent code • Lab 4: protected kernel with multiprogramming • OS kernel with system calls, memory allocation, virtual address translation, protection • Lab 5: I/O and inter-process communication • Labs 6-7: virtual memory • page faults and demand loading • page replacement and page cache management

  21. We’re Not in Kansas Anymore • Be careful out there: CPS 110 is For Mature Audiences Only. • Any OS is a complex beast with lots of moving parts. • Concurrency adds an unfamiliar and difficult element. • Virtual Machines are difficult to think about and debug. • For Nachos you will extend a base of Someone Else’s Code. • Working in teams is a double-edged sword. • These labs by design leave more opportunity for creative interpretation than is common in introductory classes. • The Unix/C++ development environment is a powerful tool offering many opportunities to “shoot yourself in the foot”.

  22. Secrets of the Nachos Labs • We skip the hand holding; you skip the hand wringing over picky details of what you are “supposed to do”. • You are free to resolve ambiguity as you see fit, and you must justify your choices. • It’s the thought that counts. • Think before you design it. • Think before you code it. • Think before you run it. • Think before you debug it. • The time needed to conceive and write the code is moderate, but debugging time is potentially unbounded.

  23. Secrets of CPS 110 • 1. If you work hard, we work hard to help you. • Slackers are persona non grata (you know who you are). • 2. Be ready to work concurrency problems on the exams. • Drill it and use it in the labs. • 3. Pay careful attention to team management for the labs. • New rule this semester: teams may eject slackers by unanimous vote of the remaining members. • 4. Pay attention to the newsgroup, and post if you need help. • cc: chase • 5. Have confidence in the grading.

  24. Overview of Nachos Labs 1-3 • In the thread assignments, you build and test the kernel’s internal primitives for processes and synchronization. • Think of your program as a “real” kernel doing “real basic” things. • boot and initialize • run main(), parse arguments, initialize machine state • run a few tests • create multiple threads to execute some kernel code • shut down • ...runs native, directly on the host machine. • Kernel only; no user programs (until Lab 4)

  25. What To Do Next • 1. Form teams of four. • (2-5) • 2. Look at the course web and the Nachos Project Guide. • On the Web, and I will hand out hard-copy on Tuesday. • 3. Install and build the Nachos release. • Determine where your source code will reside. • Set up ACLs so your team and my TAs can access your code. • Optional: set up version control (e.g., CVS). • Report any problems.

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