More Multiprogramming Issues - PowerPoint PPT Presentation

Loading...

PPT – More Multiprogramming Issues PowerPoint presentation | free to download - id: 46c24e-YjMzO



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

More Multiprogramming Issues

Description:

More Multiprogramming Issues ECEN5043 Software Engineering of Multi-program Systems University of Colorado, Boulder Quote-of-the-week award Memory is an important ... – PowerPoint PPT presentation

Number of Views:81
Avg rating:3.0/5.0
Slides: 43
Provided by: RuthDa1
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: More Multiprogramming Issues


1
More Multiprogramming Issues
  • ECEN5043 Software Engineering of Multi-program
    Systems
  • University of Colorado, Boulder

2
Quote-of-the-week award
  • Memory is an important resource that must be
    carefully managed.
  • A. S. Tanenbaum
  • -))

3
Overview -- Resource Management
  • Memory management
  • If certain techniques are not relevant now, they
    may be in the future as they were once before --
    historical cycles
  • Input/Output
  • Understand impact of choices
  • Device independence process independence
  • Shared resources
  • Spooling
  • File Systems
  • Multimedia (high demand, real time) file issues

4
Growing pains
  • In a given environment, programs get bigger
    faster than memories
  • In other words, software expands to max out
    available hardware resources -- memory is one of
    those

5
Memory Management Concerns
  • Which parts of a memory are in use
  • Allocate memory to processes when needed
  • De-allocate memory when processes do not need it
  • Manage swapping between hierarchies of memory as
    needed
  • onboard cache
  • separate cache (possibly multi-layer)
  • main memory
  • disk

6
Simple is as simple does ...
  • There are simple schemes and complicated ones.
    Depending on the programs environment,
  • the simpler ones are in use or obsolete
  • the more complicated ones are
  • in use
  • not thought of yet
  • or not possible to apply ... yet
  • What environments for which?
  • Why?

7
Monoprogramming
  • Run one program at a time
  • Share memory between the program and the
    operating system (may be primitive)
  • First used on mainframes, then minis, then PCs,
    then palmtops and simple embedded systems ...
  • What conditions make it appropriate?

User program Op. Sys. in RAM
Op. Sys. in ROM User program
Device drivers in ROM User program Op. Sys. in
RAM
8
Multiprogramming
  • Multiple processes ready to run simultaneously
    means
  • When one process is blocked waiting for I/O to
    finish, another one can use the CPU
  • Increased CPU utilization
  • Expectations of this capability are increasing
  • Network servers -- expected to run (serve)
    multiple processes
  • Client machines also have this ability

9
Some ways to achieve multiprogramming
  • Easiest divide memory into n partitions, not
    necessarily equal
  • Each process has a queue
  • Put a new process into input queue for smallest
    partition large enough to hold it (problem?
    remedy?)
  • One queue fits all
  • Scan jobs in an order-of-arrival queue select
    first fit for available partition (problem?
    remedy?)
  • Scan all select best fit (problem? remedy?)

10
Modeling Multiprogramming
  • Probabilistic viewpoint
  • Process spends fraction p of its time waiting for
    I/O to complete
  • n processes in memory at once -- probability that
    all n processes are waiting for I/O is pn
  • Prob. that CPU is being used CPU utilization 1
    - pn
  • Interactive systems, batch systems with disk I/O,
    (others?) can have 80 wait time
  • Assumptions dont quite fit -- makes this an
    approximation, not an accurate calculation

11
Analysis of Multiprogramming System Performance
  • Analysis examples are in the online handout in
    4.1.4, p. 194
  • You have a homework problem, too.
  • If you designed a system of programs and those
    programs will be the only ones running in a
    certain environment ...
  • What information do you need to know to be able
    to do an analysis of performance?
  • How can you get that information?

12
Multiprogramming Introduces 2 Problems
  • Protection -- the other problem
  • A malicious program can construct a new
    instruction and jump to it
  • If programs use absolute addresses rather than
    relative addresses, difficult to stop it
  • Protection-code solution
  • Base/limit approach solved both the relocation
    and protection problems
  • base has address of partition start limit has
    length
  • disadvantage?

13
When is simple not enough?
  • Simplest memory management to implement
  • fixed partitions
  • process/job loaded into partition when it gets to
    the head of the queue
  • stays in memory until done
  • What questions do you want to know the answers to
    re user-threads or user-spawned copies of
    processes?
  • Why do anything different?

14
Whenever you open a can of worms, it always
requires a bigger can to put them back.
  • from Murphys Law and Other Reasons Why Things Go
    Wrong

wrong
15
Pandoras box syndrome ...
  • Swapping
  • Bring in a process in its entirety, run it, put
    back on disk if it has changed
  • Fixed partitions -- simplest
  • variable partitions -- much more complicated (see
    next slide)
  • Virtual memory
  • Bring in a portion of the process that includes
    what is needed
  • Once it is understood that only a portion needs
    to be in main memory, multiple portions can be
    present without being contiguous

16
Swap Meet -- Variable Partitions
In (g), As addresses must be relocated by
software when it is swapped in or, more likely,
by hardware during execution.
17
  • Swapping with variable partitions
  • Number, location, and size of partitions vary
    dynamically
  • Improved memory utilization because not tied to
    fixed partitions that waste space or are too
    small
  • Complicates allocating and deallocating memory -
    why?
  • Complicates keeping track of available space -
    why?

18
Managing a Growing Process
  • IF processes have fixed sizes, allocate what is
    needed.
  • IF data segment can grow
  • Process can grow into adjacent hole, if any
  • Process can be swapped to new location large
    enough
  • One or more other processes can be swapped out to
    create a large enough hole
  • Process can wait
  • Process can be killed

19
How much is enough?
  • If most processes will grow while running, design
    o.s. so that it
  • Allocates space in main memory a little more than
    is apparently needed
  • When swapping out, swap only memory actually in
    use
  • OR
  • If supported, allow stack and heap to grow toward
    each other where the available memory in between
    is used by whichever needs it.

20
Dynamic memory assignment
  • Managed by the operating system if there is one
  • You may be designing the technique if your
    companys product is a very small computer (palm)
    or embedded system with no o.s. or a limited one.
  • Bitmap
  • Linked list -- first, next, best, worst, quick fit

21
Linked Lists ... Tables
  • Linked list of allocated and free memory segments
    containing either processes or holes
  • First fit -- take first hole big enough, even if
    tooooo big
  • allocate the part that is needed leaving new
    smaller hole
  • Next fit -- Keeps track of location when it finds
    a suitable hole -- searches from that point next
    time.
  • Best fit -- Searches all of list takes the
    closest that is larger
  • Worst fit -- leaves the biggest hole possible
  • Quick fit -- separate lists of commonly requested
    sizes -- fast to find -- slow to merge remaining
    holes

22
Overlays
  • Split the program into pieces called overlays
    scheme for how this was done was designed by the
    programmer
  • When one overlay done, it called another (or
    other schemes)
  • Overlays kept on disk, swapped in and out of
    memory as needed
  • Eventually, operating systems took over the whole
    job with a technique called virtual memory
  • In the absence of an operating system, it is
    still a viable concept in specialized
    environments

23
Virtual Memory
  • O.S. (or equivalent) keeps
  • parts of the program currently in use in main
    memory, not necessarily contiguously
  • parts of the program not currently in use (or
    blocked) may be on disk if the space is needed
  • may do this simultaneously for several programs
  • Paging, segmentation, paged-segmentation, etc.

24
Simple Paging
virtual address
page
page offset
page table pointer
present
frame n
modified
page table
...
page table index
page frame number
physical address
frame 2
frame 1
main memory
25
Managing Page Tables
  • Page tables usually kept in memory -- theyre big
  • Execution speed is usually limited by the rate
    the CPU can get instructions and data out of
    memory
  • For each memory address reference, there is
    (theoretically) a page table memory reference
    plus the resulting memory reference
  • Locality of reference -- a small number of page
    table entries are heavily used others rarely
  • Translation Lookaside Buffer is inside MMU with
    the frequently referenced page table entries
    information

26
Software TLB Manager
  • RISC machines (Reduced Instruction Set Computer)
  • Small number of simple instructions
  • Programs are longer in number of lines but
    usually execute faster on simpler architectures
  • Burden is on the programmer (compiler or assembly
    language writer) to express the thought with a
    more restricted set of instructions
  • Tend to handle the TLB faults in the o.s.
    (software) instead of the MMU (hardware)

27
Inverted Page Tables
  • When the virtual address space is too huge, the
    page table is too huge -- one entry for each
    page.
  • Instead, use a table with an entry for each
    physical frame
  • Keeps track of which process and virtual page is
    located in the page frame
  • Plus save lots of space when the virtual
    address space is much larger than the physical
    address space
  • Minus Virtual-to-physical translation becomes
    much harder
  • Use TLB for the inverted page table

28
Page Replacement - a kind of prioritization
  • Other techniques for dealing with large virtual
    memories pdf excerpt from book gives references
  • Page replacement algorithms
  • When a page fault occurs, which page should be
    removed to make room for the needed one?
  • NRU -- not recently used FIFO clock page LRU
  • LRU is a good approximation to the optimal
    algorithm
  • Hard to implement in software
  • NFU -- not frequently used -- is a software way
    to simulate LRU

29
Deja Vu all over again
  • Working set
  • notion regarding pages in interacting but
    distinct programs
  • If you can influence this -- improve performance?
  • Prefer an operating system that keeps track of
    which pages are in the working set.
  • When page fault occurs, evict a page not in the
    working set

30
Design Issues for Paging Systems
  • Well come back to this slide in the week that we
    look at Performance patterns and anti-patterns.
  • Reminder
  • Fast path god class
  • First Things First Excessive dynamic alloc
  • Coupling Circuitous Treasure Hunt
  • Batching One-Lane Bridge
  • Alternate Routes Traffic Jam
  • Flex Time
  • Slender Cyclic Functions

31
pdf handout from Tanenbaum Chapter 5 -
Input/Output
32
Principles of I/O Software
  • Device independence
  • ... should be possible to write programs that
    can access any I/O device without having to
    specify the device in advance
  • A program that reads a file as input should be
    able to read a file on a floppy disk, on a hard
    disk, or on a CD-ROM, without having to modify
    the program for each different device.
  • sort ltinput gtoutput should work with input
    coming from various types of disks or the
    keyboard and the output going to any disk or the
    screen

33
Whats that got to do with multi-program systems?
  • It is up to the o.s. to take care of the problems
    caused by the fact that these devices really are
    different and require different command sequences
    to read or write.
  • You may be responsible for that in the absence of
    an o.s. or with an inadequate one for the
    embedded system
  • But
  • In multi-program communication, the data flow can
    be between programs and many of the same
    techniques can be used.

34
Fill in for device I/O managed by CPU - 5.2
buffered synchronous vs. asynchronous dedicated vs. shared devices other
Program-med I/O
Interrupt-driven I/O
I/O using DMA
35
Fill in analogous concept for inter-program
communication
buffered synchronous vs. asynchronous dedicated vs. shared devices other
Program-med I/O ?
Interrupt-driven I/O ?
I/O using DMA ?
36
I/O Software System Layers
User-level I/O software Device-independent
operating system software Device
drivers Interrupt handlers
Hardware
37
How might a program communicate with another?
  • Driver starting an I/O operation blocks until the
    I/O has completed and the interrupt occurs.
  • driver blocks itself by setting a semaphore, a
    wait on a condition variable, a receive on a
    message or something similar
  • When the interrupt happens, the procedure
  • does whatever it has to do in order to handle the
    interrupt
  • then unblocks the driver (reset the semaphore,
    execute an interrupt return to the previous
    process)

38
Role for device driver
  • An exercise in layered software architecture
  • Standard interface procedures that the rest of
    the o.s. can call
  • Functions
  • accept abstract read and write requests from the
    device-independent software and see that they are
    carried out
  • initialize the device
  • manage power requirements and log events
  • check input parameters to see if valid (Meyer
    Filter-methods in Design by Contract programming)
  • may need to translate parameters from abstract to
    concrete terms
  • check if device is currently in use if so, queue
    the request
  • list continued on next slide ...

39
continued
  • timing check if request can be handled now or
    if something else must be done like start the
    device
  • control the device -- issue sequence of commands,
    may need to interact sequentially
  • driver blocks itself until interrupt indicates
    completion or it doesnt need to
  • check for errors
  • may pass data
  • returns some status information for error
    reporting
  • Select and start another request or blocks,
    waiting for next request
  • must be reentrant
  • cannot make system calls may need to make
    certain kernel calls

40
Think of the device driver as a shared resource ..
  • Look in Modern Operating Systems, Chapter 2 on
    Processes and Threads, Section 2.3 on
    Interprocess Communication
  • Which of these forms of communication does a
    program typically use with a device driver?
  • Why are some techniques in Section 2.3
    appropriate for program-program communication but
    not appropriate (or not necessary) for
    program-device-driver communication?
  • Analyze the interprocess comm techniques with
    respect to their suitability to accomplish
    device driver functions in program-program
    communication.

41
User Space I/O Software -- (parallels to
inter-program communication?)
  • Library procedures
  • Spooling
  • A way of dealing with dedicated I/O devices in a
    multiprogramming system
  • special process, daemon
  • special directory, spooling directory
  • process generates entire file to be output
  • process puts it in the spooling directory
  • the daemon extracts files from that directory and
    uses them as data

42
Can spooling be useful in multi-program
interactions?
About PowerShow.com