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Scheduling Algorithmic Research

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Title: Scheduling Algorithmic Research


1
Scheduling Algorithmic Research
  • Rami Abielmona
  • 94.571 (ELG 6171)
  • Monday March 27, 2000
  • Prof. T. W. Pearce

2
Scheduling Algorithms Introduction
  • Problem definition
  • One CPU with a number of processes. Only one
    process can use the CPU at a time and each
    process is specialized in one, and one task.
    Whats the best way to organize the processes
    (schedule them) ? 1
  • How will the CPU time be divided among the
    processes and threads competing to use it ? 2

3
Scheduling AlgorithmsEmbedded OS Architecture
  • Kernel
  • The executor
  • Executive
  • The manager
  • Application Programs
  • The programmer tasks
  • Real World Interfacing
  • S/W handling the H/W

4
Scheduling AlgorithmsBasic Assumptions
  • A pool of runnable processes are contending for
    one CPU
  • The processes are independent and compete for
    resources
  • The job of the scheduler is to distribute the
    scarce resource of the CPU to the different
    processes fairly and in an optimal way
  • The job of the dispatcher is to provide the
    mechanism for running the processes
  • The OS is a multitasking, but not a
    multiprocessor, one
  • Only CPU scheduling is considered (the lowest
    level of scheduling).

5
Scheduling AlgorithmsEvaluation Characteristics
6
Scheduling AlgorithmsProcesses and Resources
  • Resources
  • Preemptible
  • Take resource away, use it for something else,
    then give it back. (e.g. processor or I/O
    channel)
  • Non-preemptible
  • Once give, it cant be reused until process gives
    it back. (e.g. file space or terminal)
  • Processes
  • IO bound
  • Perform lots of IO operations.
  • IO burst ---- short CPU burst to process IO ---
    IO burst
  • CPU bound
  • Perform lots of computation and do little IO
  • CPU burst ----------- Small IO burst -----------
    CPU burst

7
Scheduling AlgorithmsProcess State Transitions
  • The states of a process, at any given time, is
    comprised of the following minimal set
  • Running
  • The CPU is currently executing the code belonging
    to the process.
  • Ready
  • The process could be running, but another process
    has the CPU.
  • Waiting
  • Before the process can run, some external event
    must occur.

8
Scheduling AlgorithmsTypes of Schedulers
  • Long-term scheduler
  • admits new processes to the system
  • required because each process needs a portion of
    the available memory for its code and data.
  • Medium-term scheduler
  • is not found in all systems
  • required to control the temporary removal from
    memory of a process when the latter is
    extractable.
  • Short-term scheduler
  • determines the assignment of the CPU to ready
    processes
  • required because of IO requests and completions.

9
Scheduling AlgorithmsThe Contestants (1)
  • First-Come First-Serve (FCFS)
  • One ready queue
  • OS runs the process at head of the queue
  • New processes come in at the end of the queue
  • Running process does not give up the CPU until it
    terminates or it performs IO.
  • Round Robin
  • Process runs for one time slice, then moved to
    back of the queue
  • Each process gets equal share of the CPU.

10
Scheduling AlgorithmsThe Contestants (2)
  • Shortest Time to Completion (STCF)
  • Process with shortest computation time left is
    picked
  • Varianted by preemption
  • Requires knowledge of the future.
  • Exponential Queue (Multi-level Feedback)
  • Gives newly runnable processes a high priority
    and a very short time slice
  • If process uses up the time slice without
    blocking then decrease priority by one and double
    time slice for next time
  • Solves both efficiency and response time problems.

11
Scheduling AlgorithmsThe Contestants (3) -
Priorities
  • Priority Systems
  • The highest priority ready process is selected
  • In case of a tie, FCFS can be used
  • Priorities could be assigned
  • Externally (e.g. by a system manager)
  • Internally (e.g. by some algorithm)
  • Combination of external and internal
  • Preemptive schemes
  • Once a process starts executing, allow it to
    continue until it voluntarily yields the CPU
  • Non-preemptive schemes
  • A running process may be forced to yield the CPU
    by an external event rather than by its own
    action

12
Scheduling AlgorithmsFirst-Come First-Serve
  • Non-preemptive FCFS (no priority scheme)
  • Simplest implementation of scheduling algorithms
  • Used on timeshared systems (with timer
    interruption)
  • Non-preemptive FCFS (with priority scheme)
  • Next highest priority process is picked when CPU
    is yielded
  • Once process grabs CPU, former keeps latter until
    completion
  • Rarely used in real-time systems
  • Preemptive FCFS (with priority scheme)
  • Most popular FCFS algorithm

13
Scheduling AlgorithmsRound Robin
  • Used mostly on timeshared systems
  • Allows multiple users slices of the CPU on a
    round robin basis
  • Majority of users have the same priority
  • Not a popular scheme with dynamic priority systems

14
Scheduling AlgorithmsShortest Time to Completion
  • Priorities are assigned in inverse order of time
    needed for completion of the entire job
  • Minimizes average turnaround time
  • Exponential averaging is used to estimate the
    process burst duration
  • A job exceeding the resource estimation is
    aborted
  • A job exceeding the time estimation is preempted
  • Store estimated value in PCB for the current
    burst, and compare with actual value

15
Scheduling AlgorithmsExponential Queues
  • Popular in interactive systems
  • A single queue is maintained for each priority
    level
  • A new process is added at the end of the highest
    priority queue
  • It is alloted a single time quantum when it
    reaches the front
  • If it yields the CPU within the time quantum, it
    is moved to the rear
  • If not, it is placed at the rear of the next
    queue down
  • Dispatcher selects the head of the highest
    priority queue
  • A job that succeeds moves up
  • A job that fails moves down

16
Scheduling AlgorithmsImplementation - Data
Structures
  • A queue of processes is implemented by linking
    PCBs together using a linked list (with first
    and last node pointers)
  • Since this projects queues are known to be
    short, priority is implemented by using priority
    queues, and PriorityInsert() function calls
  • Different queues are used to represent different
    states of processes (Ready, Suspended)
  • Self-release of CPU
  • Internal signal
  • Process completion
  • Forced-release of CPU
  • Time slot expired
  • External signal

Process ID Status Priority Next Process
17
Scheduling AlgorithmsImplementation - Progress
  • Used an OO template in order to easily and
    efficiently implement any necessary queue
  • Used structurally defined functions to simulate
    the scheduler and dispatcher
  • fill_poolQ(), get_tasks(src,dest), sort(queue)
  • Implemented FCFS, RR and STCF
  • RR was implemented to fairly compare schemes
  • Theoretical work still needs to be done
  • comparison and evaluation

18
Scheduling AlgorithmsImplementation - Issues
  • The underlying interrupt system basically readies
    the task for a switch, but does not perform the
    switch
  • Process switches are directly handled by the
    scheduler
  • This causes a delay from the time of readiness to
    the time of the switch, which is not tolerated
    for, lets say, system exceptions
  • The solution is to completely by-pass the
    scheduler (OS) and go directly to an ISR. 1
  • Each process is allocated its own private stack
    and workspace
  • This is done to avoid different processes
    overwriting each others data and code
  • This is based on a strict process model, where
    all heavyweight processes do not share resources
  • Code that can be shared safely is called
    re-entrant code 1

19
Scheduling AlgorithmsImplementation - Analysis
  • Direct analysis
  • Pick a task set and observe results
  • Apply queueing theory to obtain results
  • Multi-level feedback queue scheme
  • Simulations of scheme implementations
  • FCFS, RR, STCF
  • Innovations and projections
  • Lottery scheduling and own algorithm

20
Scheduling AlgorithmsReferences
  • 1) Cooling, J.E. Software Design for Real-Time
    Systems. Chapman Hall, London, UK 1995.
  • 2) Stallings, William. Operating Systems
    Internals and Design Principles. Upper Saddle
    River, NJ Prentice Hall, 1998.
  • 3) http//www.cs.wisc.edu/bart/537/lecturenotes/
    s11.html - viewed on 03/24/2000
  • 4) Savitzky, Stephen. Real-Time Microprocessor
    Systems. Van Nostrand Reinhold Company, N.Y.
    1985.
  • 5) Undergraduate Operating System Course Notes
    (Ottawa University, 1998)
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