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Understanding Operating Systems Sixth Edition


Although most evolved over time to operate multiple systems, ... Drive A requires approximately 35 ms for each access: 35 + 25 + 35 = 105 ms (Figure 12.2) ... Chapter ... – PowerPoint PPT presentation

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Title: Understanding Operating Systems Sixth Edition

Understanding Operating Systems Sixth Edition
  • Chapter 12
  • System Management

Learning Objectives
  • After completing this chapter, you should be
    able to describe
  • The tradeoffs to be considered when attempting to
    improve overall system performance
  • The roles of system measurement tools such as
    positive and negative feedback loops
  • Two system monitoring techniques
  • The fundamentals of patch management
  • The importance of sound accounting practices by
    system administrators

System ManagementEvaluating an Operating System
  • Most OSs were designed to work with a certain
    piece of hardware, a category of processors, or
    specific groups of users.
  • Although most evolved over time to operate
    multiple systems, most still favor some users and
    some computing environments over others.
  • To evaluate an OS, you need to know
  • Its design goals and history
  • How it communicates with its users
  • How its resources are managed
  • What tradeoffs were made to achieve its goals.

System ManagementEvaluating an Operating System
  • An Operating systems strengths and weaknesses
    need to be weighed in relation to
  • Who will be using the operating system
  • On what hardware
  • For what purpose.

System ManagementCooperation Among Components
  • The performance of any one resource depends on
    the performance of the other resources in the
  • Memory management is intrinsically linked with
    device management when memory is used to buffer
    data between a very fast processor and slower
    secondary storage devices.

System ManagementCooperation Among Components
  • If you managed an organizations computer system
    and were allocated money to upgrade it, where
    would you put the investment to best use?
  • A faster CPU
  • Additional processors
  • More disk drives
  • A RAID system
  • New file management software
  • Or, if you bought a new system, what
    characteristics would you look for that would
    make it more efficient than the old one?

System ManagementCooperation Among Components
  • Any system improvement can be made only after
    extensive analysis of
  • The needs of the systems resources
  • Requirements
  • Managers
  • Users.
  • Whenever changes are made to a system, often
    youre trading one set of problems for another.
  • The key is to consider the performance of the
    entire system and not just the individual

System ManagementRole of Memory Management
  • Memory management schemes were discussed in
    Chapters 2 and 3.
  • If you increase memory or change to another
    memory allocation scheme, you must consider the
    actual operating environment in which the system
    will reside.
  • Theres a trade-off between memory use and CPU
  • As the memory algorithms grow more complex, the
    CPU overhead increases and overall performance
    can suffer.
  • However, some OS perform remarkably better with
    additional memory.

System ManagementRole of Processor Management
  • Processor management was covered in Chapters
    4,5, and 6.
  • If you decide to implement a multiprogramming
    system to increase your processors utilization
  • Youd have to remember that multiprogramming
    requires a great deal of synchronization between
  • The Memory Manager
  • The Processor Manager
  • The I/O devices.

System ManagementRole of Processor Management
  • The tradeoff
  • Better use of the CPU versus increased overhead
  • Slower response time
  • Decreased throughput.
  • Problems to watch for
  • A system could reach a saturation point if the
    CPU is fully utilized but is allowed to accept
    additional jobs.
  • This would result in higher overhead and less
    time to run programs.

System ManagementRole of Processor Management
  • Problems to watch for
  • Under heavy loads, the CPU time required to
    manage I/O queues (which under normal
    circumstances dont require a great deal of time)
    could dramatically increase the time required to
    run jobs.
  • With long queues forming at the channels, control
    units, and I/O devices, the CPU could be idle
    waiting for processes to finish their I/O.
  • Likewise, increasing the number of processors
    necessarily increases the overhead required to
    manage multiple jobs among multiple processors.
  • The payoff can be faster turnaround time.

System ManagementRole of Device Management
  • Device management, covered in Chapter 7, contains
    several ways to improve I/O device utilization
  • Blocking, buffering, and rescheduling I/O
    requests to optimize access time.
  • Tradeoffs
  • Each of these options also increases CPU overhead
    and uses additional memory space.
  • Blocking
  • Reduces the number of physical I/O requests
  • But its the CPUs responsibility to block and
    later. deblock the records, and thats overhead

System ManagementRole of Device Management
  • Buffering
  • Helps the CPU match slower I/O device speeds and
    vice versa, but it requires memory space for the
    buffers, either dedicated space or a temporarily
    allocated section of main memory
  • This reduces the level of processing that can
    take place.
  • Tradeoff
  • Reduced multiprogramming versus better use of I/O

System ManagementRole of Device Management
  • Rescheduling requests
  • A technique that can help optimize I/O times
  • Its a queue reordering technique.
  • Its also an overhead function so the speed of
    both the CPU and the I/O device must be weighed
    against the time it would take to execute the
    reordering algorithm.

System ManagementRole of Device Management
System ManagementRole of Device Management
  • Lets assume that a system consisting of CPU1 and
    Disk Drive A has to access Track 1, Track 9,
    Track 1, and then Track 9 and the arm is already
    located at Track 1.
  • Without reordering, Drive A requires
    approximately 35 ms for each access35 25
    35 105 ms (Figure 12.2)

System ManagementRole of Device Management
  • Example without reordering
  • CPU 1 and disk drive A
  • Access track 1, track 9, track 1, track 9
  • Arm already located at track 1

System ManagementRole of Device Management
  • After reordering (which requires 30 ms), the arm
    can perform both accesses on Track 1 before
    traveling, in 35 ms, to Track 9 for the other two
    accesses, resulting in a speed nearly twice as
    fast 30 35 65 ms (Figure 12.3)

System ManagementRole of Device Management
  • Example after reordering
  • Arm performs both accesses on Track 1 before
    traveling Track 9 (35 ms)

System ManagementRole of Device Management
  • However, when the same situation is faced by CPU
    1 and the much faster Disk Drive C, we find the
    disk will again begin at Track 1 and make all
    four accesses in 15 ms (5 5 5), but when it
    stops to reorder these accesses (which requires
    30 ms), it takes 35 ms (30 5) to complete the
  • Therefore, reordering requests not always

System ManagementRole of Device Management
  • Remember that when the system is configured, the
    reordering algorithm is either always on or
    always off.
  • It cant be changed by the systems operator
    without reconfiguration, so the initial setting,
    on or off, must be determined by evaluating the
    system based on average system performance.

System ManagementRole of File Management
  • The discussion of file management in Chapter 8
    looked at how secondary storage allocation
    schemes help the user organize and access the
    files on the system.
  • Almost every factor discussed in that chapter can
    affect overall system performance.
  • File organization is an important consideration.
  • If a file is stored noncontiguously and has
    several sections residing in widely separated
    cylinders of a disk pack, sequentially accessing
    all of its records could be a time-consuming task.

System ManagementRole of File Management
  • Such a case would suggest that the files should
    be compacted (defragmented) so each section of
    the file resides near the others.
  • Recompaction, however, takes CPU time and makes
    the files unavailable to users while its being
  • Another file management issue that could affect
    retrieval time is the location of a volumes
  • Some systems read the directory into main memory
    and hold it there until the user terminates the

System ManagementRole of File Management
  • Looking at Figure 12.1
  • The first retrieval would take 35 ms when the
    system retrieves the directory for Drive A and
    loads it into memory.
  • Every subsequent access would be performed at the
    CPUs much faster speed without the need to
    access the disk.
  • This poses a problem if the system crashes before
    any modifications have been recorded permanently
    in secondary storage.
  • The I/O time that was saved by not having to
    access secondary storage every time the user
    requested to see the directory would be negated
    by not having current information in the users

System ManagementRole of File Management
  • Similarly, the location of a volumes directory
    on the disk might make a significant difference
    in the time it takes to access it.
  • If the directories are stored on the outermost
    track, then the disk drive arm has to travel
    farther to access each file than it would if the
    directories were kept in the center tracks.
  • File management is closely related to the device
    on which the files are stored.
  • Designers must consider both issues at the same
    time when evaluating or modifying computer

System ManagementRole of File Management
  • Different schemes offer different flexibility,
    but the trade-off for increased file flexibility
    is increased CPU overhead.

System ManagementRole of File Management
  • File management related to device where files

System ManagementRole of Network Management
  • The discussion if network management in Chapters
    9 and 10 examined the impact of adding networking
    capability to the OS and the overall effect on
    the system performance.
  • The Network Manager
  • Routinely synchronizes the load among remote
  • Determines message priorities
  • Tries to select the most efficient communication
    paths over multiple data communication lines.

System ManagementRole of Network Management
  • When an application program requires data from a
    disk drive at a different location, the Network
    Manager attempts to provide this service
  • When networked devices (printers, plotters, disk
    drives) are required, the Network Manager has the
    responsibility of allocating and deallocating the
    required resources correctly.
  • In addition, the Network Manager allows a network
    administrator to monitor the use of individual
    computers and shared hardware, and ensure
    compliance with software license agreements.

System ManagementRole of Network Management
  • The Network Manager also simplifies the process
    of updating data files and programs on networked
    computers by coordinating changes through a
    communications server instead of making the
    changes on each individual computer.

System ManagementMeasuring System Performance
  • Total system performance can be defined as the
    efficiency with which a computer system meets its
    goals how well it serves its users.
  • System efficiency is affected by three major
  • User programs
  • Operating system programs
  • Hardware
  • In addition, system performance can be very
    subjective and difficult to quantify.
  • How can anyone objectively gauge ease of use.

Measuring System PerformanceMeasurement Tools
  • Throughput
  • A composite measure that indicates the
    productivity of the system as a whole.
  • Usually measured under steady-state conditions
    and reflects quantities such as
  • The number of jobs processed per day
  • The number of online transactions handled per
  • Can also be a measure of the volume of work
    handled by one unit of the computer system.
  • An isolation thats useful when analysts are
    looking for bottlenecks in the system.

Measuring System PerformanceMeasurement Tools
  • Capacity
  • Bottlenecks tend to develop when resources reach
    their capacity (maximum throughput level).
  • Thrashing is a result of a saturated disk.
  • Bottlenecks also occur when main memory has been
    overcommitted and the level of multiprogramming
    has reached a peak point.
  • The working sets for the active jobs cant be
    kept in main memory, so the Memory Manager is
    continuously swapping pages between main memory
    and secondary storage.

Measuring System PerformanceMeasurement Tools
  • Capacity
  • Throughput and capacity can be monitored by
    either hardware or software.
  • Bottlenecks can be detected by monitoring the
    queues forming at each resource.
  • When a queue starts to grow rapidly, this is an
    indication that the arrival rate is greater than,
    or close to, the service rate and the resource is
  • Feedback Loop.
  • Once a bottleneck is detected, the appropriate
    action can be taken to resolve the problem.

Measuring System PerformanceMeasurement Tools
  • Response time (Online Interactive Users)
  • An important measure of system performance.
  • The interval required to process a users
  • From when the user presses the key to send the
    message until the system indicates receipt of the
  • Turnaround time (Batch Jobs)
  • The time from the submission of a job until its
    output is returned to the user.
  • Whether in an online or batch context, this
    measure depends on both the workload being
    handled by the system at the time of the request
    and the type of job or request being submitted.

Measuring System PerformanceMeasurement Tools
  • Resource utilization
  • A measure of how much each unit is contributing
    to the overall operation.
  • Usually given as a percentage of time that a
    resource is actually in use.
  • CPU busy 60 percent of the time
  • The line printer busy 90 percent of the time
  • Terminal usage?
  • Seek mechanism on a disk?
  • This data helps determine whether there is
    balance among the units of a system or whether a
    system is I/O-bound or CPU-bound.

Measuring System PerformanceMeasurement Tools
  • Availability
  • Indicates the likelihood that a resource will be
    ready when a user needs it.
  • For online Users, it may mean the probability
    that a port is free or a terminal is available
    when they attempt to log on.
  • for those already on the system, it may mean the
    probability that one or several specific
    resources will be ready when their programs make
  • A unit will be operational and not out of service
    when a user needs it.

Measuring System PerformanceMeasurement Tools
  • Availability
  • Is Influenced by two factors
  • Mean time between failures (MTBF)
  • The average time that a unit is operational
    before it breaks down.
  • Mean time to repair (MTTR)
  • The average time needed to fix a failed unit and
    put it back in service.

Measuring System PerformanceMeasurement Tools
  • If you buy a terminal with an MTBF of 4,000 hours
    (Number given by the manufacturer), and you plan
    to use it for 4 hours a day for 20 days a month
    (or 80 hours per month), then you would expect it
    to fail every 50 months (4,000/80).
  • Assuming the MTTR is 2 hours
  • Availability (A) Availability
    4000 0.9995
  • 4000 2

Measuring System PerformanceMeasurement Tools
  • On average, this unit would be available 9,995
    out of every 10,000 hours.
  • Five failures out of 10,000 uses.

Measuring System PerformanceMeasurement Tools
  • Reliability
  • Similar to availability.
  • Measures the probability that a unit will not
    fail during a given time period (t)
  • Its a function of MTBF
  • If you absolutely need to use the terminal for
    the 10 minutes before your upcoming deadline.
  • With time expressed in hours, the units
    reliability is

Measuring System PerformanceMeasurement Tools
  • Performance measures cant be taken in isolation
    from the workload being handled by the system
    unless youre simply fine-tuning a specific
    portion of the system.
  • Overall system performance varies from time to
    time, so its important to define the actual
    working environment before making

Measuring System PerformanceFeedback Loops
  • To prevent the processor from spending more time
    doing overhead than executing jobs, the OS must
    continuously monitor the system and feed this
    information to the Job Scheduler.
  • The Scheduler can either allow more jobs to enter
    the system or prevent new jobs from entering
    until some of the congestion has been relieved.
  • A Feedback Loop
  • It can be either negative or positive.

Measuring System PerformanceFeedback Loops
  • Negative feedback loop
  • Monitors the system and, when it becomes too
    congested, signals the Job Scheduler to slow down
    the arrival rate of the processes (Figure 12.4).
  • A negative feedback loop monitoring I/O devices
    would inform the Device Manager that Printer 1
    has too many jobs in its queue, causing the
    Device Manager to direct all newly arriving jobs
    to Printer 2, which isnt as busy.
  • The negative feedback helps stabilize the system
    and keeps queue lengths close to expected mean

Measuring System PerformanceFeedback Loops
Measuring System PerformanceFeedback Loops
  • Positive feedback loop
  • Monitors the system, and when the system becomes
    underutilized, causes the arrival rate to
    increase.(Figure 12.5).
  • Used in paged virtual memory systems
  • Must be used cautiously because theyre more
    difficult to implement than negative loops.

Measuring System PerformanceFeedback Loops
Measuring System PerformanceFeedback Loops
  • Positive feedback loop
  • How it works
  • The positive feedback loop informs the Job
    Scheduler that the CPU is underutilized.
  • The Scheduler allows more jobs to enter the
    system to give more work to the CPU.
  • As more jobs enter, the amount of main memory
    allocated to each job decreases.
  • If too many jobs are allowed to enter the system,
    the result can be an increase in page faults
  • This may cause the CPU to deteriorate.
  • The monitoring mechanisms for positive feedback
    loops must be designed with great care.

Measuring System PerformanceFeedback Loops
  • Positive feedback loop
  • An algorithm for a positive feedback loop should
    monitor the effect of new arrivals in two places
  • The Processor Managers control of the CPU
  • The Device Managers read and write operations.
  • Both areas experience the most dynamic changes,
    which can lead to unstable conditions.
  • Such an algorithm should check to see whether the
    arrival produces the anticipated result and
    whether system performance is actually improved.

Measuring System PerformanceFeedback Loops
  • Positive feedback loop
  • If the arrival causes performance to deteriorate,
    then the monitoring algorithm could cause the OS
    to adjust its allocation strategies until a
    stable mode of operation has been reached again.

Measuring System PerformancePatch Management
  • The systematic updating of the operating system
    and other system software.
  • A patch is a piece of programming code that
    replaces or changes code that make up the

Measuring System PerformancePatch Management
  • There are three primary reasons for the emphasis
    on software patches for sound system
  • The need for vigilant security precautions
    against constantly changing system threats
  • The need to assure system compliance with
    government regulations regarding privacy and
    financial accountability
  • The need to keep systems running at peak

Measuring System PerformancePatch Management
  • The task of keeping computing systems patched
    correctly has become a challenge because of the
    complexity of the entire system
  • (The OS, network, various platforms, remote
  • The speed with which software vulnerabilities are
    exploited by worms, viruses, and other system
  • Overall responsibility lies with the CIO, the
    CSO, the network administrator or individual
  • It is only through rigorous patching that the
    systems resources can reach top performance, and
    its information can be best protected.

Measuring System PerformancePatch Management
  • Manual and automatic patch technologies
  • Among top eight used by organizations

Patch ManagementPatching Fundamentals
  • While the installation of the patch is the most
    public event, there are several essential steps
    that take place before that happens
  • Identify the required patch
  • Verify the patchs source and integrity
  • Test the patch in a safe environment
  • Deploy the patch throughout the system
  • Audit the system to gauge the success of the
    patch deployment.

Patch ManagementPatching Fundamentals
  • All changes to the OS or other critical system
    must be undertaken in an environment that makes
    regular system backups, and tests restoration
    from backups.

Patch ManagementPatching Fundamentals
  • Patch availability
  • Identify the criticality of the patch.
  • If the patch is critical it should be applied
  • If the patch is not critical, you might choose to
    delay installation until a regular patch cycle
  • Patch integrity
  • Authentic patches will have a digital signature
    or patch validation tool.
  • Before applying a patch, validate the digital
    signature used by the vendor to send the new

Patch ManagementPatching Fundamentals
  • Patch testing
  • Before installation on a live system, test the
    new patch on a sample system or an isolated
    machine (development system) to verify its worth.
  • Tests
  • Test to see if the system restarts after the
    patch is installed.
  • Check to see if the patched software performs its
    assigned tasks.
  • The tested system should resemble the complexity
    of the target system as closely as possible.
  • Test the contingency plans to uninstall the patch
    and recover the old software if it becomes
    necessary to do so.

Patch ManagementPatching Fundamentals
  • Patch deployment
  • Single-user computer
  • Install the software and reboot the computer.
  • Multiplatform system (many users)
  • Exceptionally complicated task
  • Maintain an accurate inventory of all hardware
    and software on those computers that need the
  • On a large network, this information can be
    gleaned from network mapping software that
    surveys the network and takes a detailed
    inventory of the system.
  • Because its impossible to use the system during
    the patching process, schedule the patch
    deployment when system use is low (evenings or

Patch ManagementPatching Fundamentals
  • Audit finished system
  • Confirm that the resulting system meets
  • Verify that all computers are patched correctly
    and perform fundamental tasks as expected.
  • Verify that no users had unexpected or
    unauthorized versions of software that may not
    accept the patch.
  • Verify that no users are left out of the
  • This process should include documentation of the
    changes made to the system and the success or
    failure of each stage of the process.
  • Get feedback from the users to verify the
    deployments success.

Patch ManagementSoftware Options
  • Patches can be installed manually, one at a time,
    or via software thats written to perform the
    task automatically.
  • Deployment software falls into two groups
  • Those programs that require an agent (agent-based
  • Those programs that do not (agentless software).

Patch ManagementSoftware Options
  • If the deployment software uses an agent
    (software that assists in patch installation)
  • The agent software must be installed on every
    target computer system before patches can be
  • On a very large or dynamic system, this can be a
    daunting task.
  • For administrators of large, complex networks,
    agentless software may offer some time-saving

Patch ManagementTiming The Patch Cycle
  • While critical system patches must be applied
    immediately, less-critical patches can be
    scheduled at the convenience of the systems
  • These patch cycles can be based on calendar
    events or vendor events.
  • The advantage of having routine patch cycles is
    that they allow for thorough review of the patch
    and testing cycles before deployment.

Measuring System PerformanceSystem Monitoring
  • Several techniques for measuring the performance
    of a working system have been developed as
    computer systems have evolved, which can be
    implemented using either hardware or software
  • Hardware monitors
  • More expensive but they have the advantage of
    having a minimum impact on the system because
    theyre outside of it and attached
  • Examples Hard-wired counters, clocks,
    comparative elements.

Measuring System PerformanceSystem Monitoring
  • Software monitors
  • Relatively inexpensive.
  • Because they become part of the system, they can
    distort the results of the analysis.
  • The software must use the resources its trying
    to monitor.
  • Software tools must be developed for each
    specific system, so its difficult to move them
    from system to system.
  • In early systems, performance was measured simply
    by timing the processing of specific
  • The system analysis might have calculated the
    number of times an ADD instruction could be done
    in one second.

Measuring System PerformanceSystem Monitoring
  • They might have measured the processing time of a
    typical set of instructions.
  • These measurements monitored only the CPU speed
    because in those days the CPU was the most
    important resource, so the remainder of the
    system was ignored.
  • Today, system measurements must include the other
    hardware units as well as the OS, compilers, and
    other system software.
  • Measurements are made in a variety of ways.
  • Some are made using real programs, usually
    production programs that are used extensively by
    the users of the system, which are run with
    different configurations of CPUs, OS, and other

Measuring System PerformanceSystem Monitoring
  • The results are called benchmarks and are useful
    when comparing systems that have gone through
    extensive changes.
  • Benchmarks are often used by vendors to
    demonstrate to prospective clients the specific
    advantages of a new CPU, OS, compiler, or piece
    of hardware.
  • Benchmark results are highly dependent upon
  • The systems workload
  • The systems design and implementation
  • The specific requirements of the applications
    loaded on system.

Measuring System PerformanceSystem Monitoring
  • Performance data is usually obtained in a
    rigorously controlled environment so results will
    probably differ in real-life operation.
  • Benchmarks offer valuable comparison data.
  • A place to begin a system evaluation.
  • If its not possible to experiment with the
    system itself, a simulation model can be used to
    measure performance.
  • A simulation model is a computerized abstraction
    of what is represented in reality.
  • The amount of detail built into the model is
    dictated by time and money.

Measuring System PerformanceAccounting
  • The accounting function pays the bills and keeps
    the system financially operable.
  • Most computer system resources are paid for by
    the users.
  • In a single-user environment, its easy to
    calculate the cost of the system.
  • In a multiuser environment, computer costs are
    usually distributed among users based on how much
    each one uses the systems resources.

Measuring System PerformanceAccounting
  • To do this distribution, the OS must be able to
  • Set up user accounts
  • Assign passwords
  • Identify which resources are available to each
  • Define quotas for available resources (disk space
    or maximum CPU time allowed per job).

Measuring System PerformanceAccounting
  • Pricing policies vary from system to system.
    Typical measurements include some or all of the
  • Total amount of time spent between job submission
    and completion. In interactive environments this
    is the time from logon to logoff (connect time).
  • CPU time is the time spent by the processor
    executing the job.
  • Main memory usage is represented in units of
    time, bytes of storage, or bytes of storage
    multiplied by units of time.

Measuring System PerformanceAccounting
  • Pricing policy measurements
  • A job that requires 200K for 4 seconds followed
    by 120K for 2 seconds could be billed for 6
    seconds of main memory usage, or 320K of memory
    usage or a combination of K/second of memory
    usage.(200 4) (120 2) 1040K/second of
    memory usage
  • Secondary storage used during program execution,
    like main memory use, can be given in units of
    time, or space or both.
  • Secondary storage used during billing period is
    usually given in terms of the number of disk
    tracks allocated.

Measuring System PerformanceAccounting
  • Pricing policy measurements
  • Use of system software includes utility packages,
    compilers, and/or databases.
  • Number of I/O operations is usually grouped by
    device class (line printer, terminal, disks).
  • Time spent waiting for I/O completion
  • Number of input records read usually grouped by
    type of input device.
  • Number of output records printed usually grouped
    by type of output device.
  • Number of page faults is reported in paging

Measuring System PerformanceAccounting
  • Pricing policies are sometimes used as a way to
    achieve specific operational goals.
  • By varying the price of system services, users
    can be convinced to distribute their workload to
    the system managers advantage.
  • By offering reduced rates during off-hours, some
    users might be persuaded to run long jobs in
    batch mode inexpensively overnight instead of
    interactively during peak hours.
  • Pricing incentives can also be used to encourage
    users to access more plentiful and cheap
    resources rather than those that are scarce and
  • By putting a high price on printer output, users
    might be encouraged to order a minimum of

Measuring System PerformanceAccounting
  • Should the system give each user billing
    information at the end of each job or at the end
    of each online session?
  • Depends on the environment
  • Some systems only give information on resource
  • Other systems also calculate the price of the
    most costly items (CPU utilization, disk storage
    use, supplies) at the end of each job.
  • This gives the user an up-to-date report of
    expenses and calculates how much is left in the
    users account.

Measuring System PerformanceAccounting
  • The advantage of maintaining billing records
    online is that the status of each user can be
    checked before the users job is allowed to enter
    the READY state.
  • The disadvantage is overhead.
  • When billing records are kept online and an
    accounting program is kept active
  • Memory space is used
  • CPU processing is increased.
  • One compromise is to defer the accounting program
    until off-hours, when the system is lightly

  • The OS is more than the sum of its parts its
    the orchestrated cooperation of every piece of
    hardware and every piece of software.
  • When one part of the system is favored, its
    often at the expense of the others.
  • The systems managers must make sure theyre
    using the appropriate measurement tools and
    techniques to verify the effectiveness of the
    system before and after modification and then
    evaluate the degree of improvement.
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