lecture 11: i/o management and disk scheduling. categories of i/o devices human readable –used to...
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Lecture 11: I/O Management and Disk Scheduling
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Categories of I/O Devices
• Human readable– Used to communicate with the user– Printers– Video display terminals
• Display
• Keyboard
• Mouse
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Categories of I/O Devices
• Machine readable– Used to communicate with electronic
equipment– Disk and tap drives– Sensors– Controllers– Actuators
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Categories of I/O Devices
• Communication– Used to communicate with remote devices– Digital line drivers– Modems
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Differences in I/O Devices
• Data rate– May be differences of several orders of
magnitude between the data transfer rates
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Differences in I/O Devices
• Application– Disk used to store files requires file-
management software– Disk used to store virtual memory pages
needs special hardware and software to support it
– Terminal used by system administrator may have a higher priority
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Differences in I/O Devices
• Complexity of control
• Unit of transfer– Data may be transferred as a stream of bytes
for a terminal or in larger blocks for a disk
• Data representation– Encoding schemes
• Error conditions– Devices respond to errors differently
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Differences in I/O Devices
• Programmed I/O– Process is busy-waiting for the operation to
complete
• Interrupt-driven I/O– I/O command is issued– Processor continues executing instructions– I/O module sends an interrupt when done
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Techniques for Performing I/O
• Direct Memory Access (DMA)– DMA module controls exchange of data
between main memory and the I/O device– Processor interrupted only after entire block
has been transferred
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Evolution of the I/O Function
• Processor directly controls a peripheral device
• Controller or I/O module is added– Processor uses programmed I/O without
interrupts– Processor does not need to handle details of
external devices
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Evolution of the I/O Function
• Controller or I/O module with interrupts– Processor does not spend time waiting for
an I/O operation to be performed
• Direct Memory Access– Blocks of data are moved into memory
without involving the processor– Processor involved at beginning and end
only
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Evolution of the I/O Function
• I/O module is a separate processor
• I/O processor– I/O module has its own local memory– Its a computer in its own right
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Direct Memory Access
• Takes control of the system form the CPU to transfer data to and from memory over the system bus
• Cycle stealing is used to transfer data on the system bus
• The instruction cycle is suspended so data can be transferred
• The CPU pauses one bus cycle• No interrupts occur
– No need to save context
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DMA
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DMA
• Cycle stealing causes the CPU to execute more slowly
• Number of required busy cycles can be cut by integrating the DMA and I/O functions
• Path between DMA module and I/O module that does not include the system bus
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DMA
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DMA
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DMA
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Operating System Design Issues
• Efficiency– Most I/O devices extremely slow compared
to main memory– Use of multiprogramming allows for some
processes to be waiting on I/O while another process executes
– I/O cannot keep up with processor speed– Swapping is used to bring in additional
ready processes, which is an I/O operation
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Operating System Design Issues
• Generality– Desirable to handle all I/O devices in a
uniform manner– Hide most of the details of device I/O in
lower-level routines so that processes and upper levels see devices in general terms such as read, write, open, close, lock, unlock
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I/O Buffering
• Reasons for buffering– Processes must wait for I/O to complete
before proceeding– Certain pages must remain in main memory
during I/O
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I/O Buffering
• Block-oriented– Information is stored in fixed sized blocks– Transfers are made a block at a time– Used for disks and tapes
• Stream-oriented– Transfer information as a stream of bytes– Used for terminals, printers, communication
ports, mouse, and most other devices that are not secondary storage
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Single Buffer
• Operating system assigns a buffer in main memory for an I/O request
• Block-oriented– Input transfers made to buffer– Block moved to user space when needed– Another block is moved into the buffer
• Read ahead
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I/O Buffering
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Single Buffer
• Block-oriented– User process can process one block of data
while next block is read in– Swapping can occur since input is taking
place in system memory, not user memory– Operating system keeps track of assignment
of system buffers to user processes
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Single Buffer
• Stream-oriented– Used a line at time– User input from a terminal is one line at a
time with carriage return signaling the end of the line
– Output to the terminal is one line at a time
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Double Buffer
• Use two system buffers instead of one
• A process can transfer data to or from one buffer while the operating system empties or fills the other buffer
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Circular Buffer
• More than two buffers are used
• Each individual buffer is one unit in a circular buffer
• Used when I/O operation must keep up with process
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I/O Buffering
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I/O Driver
• OS module that controls an I/O device• hides the device specifics from the above layers in the OS/kernel • translates logical I/O into device I/O (logical disk blocks into {track, head, sector})• performs data buffering and scheduling of I/O operations• structure: several synchronous entry points (device initialization, queue I/O requests, state control, read/write) and an asynchronous entry point (to handle interrupts)
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Typical Driver Structuredriver_strategy(request)
{
if (empty(request-queue))
driver_start(request)
else
add(request, request-queue)
block_current_process; reschedule()
}
driver_start(request) {
current_request= request;
start_dma(request);
}
driver_ioctl(request) {
}
driver_init() {
}
driver_interrupt(state) /* asynchronous part */
{
if (state==ERROR) && (retries++<MAX) {
driver_start(current_request);
return;
}
add_current_process_to_active_queue
if (! (empty(request_queue))
driver_start(get_next(request_queue))
}
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User to Driver Control Flow
user
kernel
read, write, ioctl
special file ordinary file
File System
Buffer Cache
blockdevice
characterdevice
Character queue
driver_read/write driver-strategy
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I/O Buffering
• before an I/O request is placed, the source/destination of the I/O transfer must be locked in memory
• I/O buffering: data is copied from user space to kernel buffers, which are pinned to memory
• buffer cache: a buffer in main memory for disk sectors
• character queue: follows the producer/consumer model (characters in the queue are read once)
• unbuffered I/O to/from disk (block device): VM paging
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Buffer Cache
• when an I/O request is made for a sector, the buffer cache is checked first• if it is missing from the cache, it is read into the buffer cache from the disk• exploits locality of reference as any other cache• usually, replacements are done in chunks (a whole track can be written back at once to minimize seek time)• replacement policies are global and controlled by the kernel
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Replacement Policies
• buffer cache organized like a stack: replace from the bottom
• LRU: replace the block that has been in the cache longest with no reference to it (on reference a block is moved to the top of the stack)
• LFU: replace the block with the fewest references (counters that are incremented on reference; blocks move accordingly)
• frequency-based replacement: define a new section on the top of the stack, counter is unchanged while the block is in the new section
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Least Recently Used
• The block that has been in the cache the longest with no reference to it is replaced
• The cache consists of a stack of blocks• Most recently referenced block is on the top of the
stack• When a block is referenced or brought into the cache,
it is placed on the top of the stack
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Least Frequently Used
• The block that has experienced the fewest references is replaced
• A counter is associated with each block• Counter is incremented each time the block is
accessed• Block with smallest count is selected for replacement• Some blocks may be referenced many times in a short
period of time and then not needed any more
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Application-Controlled File Caching• two-level block replacement: responsibility is split between kernel and user level• the global allocation policy performed by the kernel, which decides which process will free a block• the block replacement policy decided by the user:
kernel provides the candidate block as a hint to the process
the process can overrule the kernel’s choice by suggesting an alternative block
the suggested block is replaced by the kernel examples of alternative replacement policy:
most-recently used (MRU)
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Sound Kernel-User Cooperation• oblivious processes should do no worse than under LRU• foolish processes should not hurt other processes• smart processes should perform better than LRU whenever possible and they should never perform worse
if kernel selects block A and user chooses B instead, the kernel swaps the position of A and B in the LRU list and places B in a “placeholder” that points to A (kernel’s choice)
if the user process misses on B (i.e. he made a bad choice), and B is found in the placeholder, then the block pointed to by the placeholder is chosen (prevents hurting other processes)
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Disk Performance Parameters
• To read or write, the disk head must be positioned at the desired track and at the beginning of the desired sector
• Seek time– time it takes to position the head at the
desired track
• Rotational delay or rotational latency– time its takes for the beginning of the
sector to reach the head
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Disk Performance Parameters
• Access time– Sum of seek time and rotational delay– The time it takes to get in position to read
or write
• Data transfer occurs as the sector moves under the head
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Disk I/O Performance• disks are at least four orders of magnitude slower than the main memory• the performance of disk I/O is vital for the performance of the computer system as a whole• disk performance parameters
seek time (to position the head at the track): 20 ms
rotational delay (to reach the sector): 8.3 ms transfer time: 1-2 MB/sec
access time (seek time+ rotational delay) >> transfer time for a sector
the order in which sectors are read matters a lot
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Disk Scheduling Policies
• Seek time is the reason for differences in performance
• For a single disk, there will be a number of I/O requests
• If requests are selected randomly, we will get the worst possible performance
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Disk Scheduling Policies
• First-in, first-out (FIFO)– Process request sequentially– Fair to all processes– Approaches random scheduling in
performance if there are many processes
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Disk Scheduling Policies
• Priority– Goal is not to optimize disk use but to meet
other objectives– Short batch jobs may have higher priority– Provide good interactive response time
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Disk Scheduling Policies
• Last-in, first-out– Good for transaction processing systems
• The device is given to the most recent user in order to have little arm movement
– Possibility of starvation since a job may never regain the head of the line
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Disk Scheduling Policies
• Shortest Service Time First– Select the disk I/O request that requires the
least movement of the disk arm from its current position
– Always choose the minimum seek time
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Disk Scheduling Policies
• SCAN– Arm moves in one direction only, satisfying
all outstanding requests until it reaches the last track in that direction
– Direction is reversed
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Disk Scheduling Policies
• C-SCAN– Restricts scanning to one direction only– When the last track has been visited in one
direction, the arm is returned to the opposite end of the disk and the scan begins again
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Disk Scheduling Policies
• N-step-SCAN– Segments the disk request queue into
subqueues of length N– Subqueues are process one at a time, using
SCAN– New requests added to other queue when
queue is processed
• FSCAN– Two queues– One queue is empty for new request
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Disk Scheduling Policies• usually based on the position of the requested sector rather than according to the process priority• shortest-service-time-first (SSTF): pick the request that requires the least movement of the head• SCAN (back and forth over disk): good distribution• C-SCAN(one way with fast return):lower service variability but head may not be moved for a considerable period of time• N-step SCAN: scan of N records at a time by breaking the request queue in segments of size at most N• FSCAN: uses two subqueues, during a scan one queue is consumed while the other one is produced
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RAID• Redundant Array of Independent Disks (RAID)• idea: replace large-capacity disks with multiple smaller-capacity drives to improve the I/O performance• RAID is a set of physical disk drives viewed by the OS as a single logical drive• data are distributed across physical drives in a way that enables simultaneous access to data from multiple drives• redundant disk capacity is used to compensate the increase in the probability of failure due to multiple drives• size RAID levels (design architectures)
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RAID Level 0• does not include redundancy• data is stripped across the available disks
disk is divided into strips strips are mapped round-robin to consecutive disks a set of consecutive strips that map exactly one strip
to each array member is called stripe
strip 0 strip 3strip 2strip 1
strip 7strip 6strip 5strip 4
...
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RAID Level 1• redundancy achieved by duplicating all the data• each logical disk is mapped to two separate physical disks so that every disk has a mirror disk that contains the
same data
a read can be serviced by either of the two disks that contains the requested data (improved performance over RAID 0 if reads dominate)
a write request must be done on both disks but can be done in parallel
recovery is simple but cost is high
strip 0 strip 1strip 0strip 1
strip 3strip 2strip 3strip 2
...
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RAID Levels 2 and 3
...
• parallel access: all disks participate in every I/O request• small strips (byte or word size)• RAID 2: error correcting code (Hamming) is calculated across corresponding bits on each data disk and stored on log(data) parity disks; necessary only if error rate is high• RAID 3: a single redundant disk which keeps the parity bit
P(i) = X2(i) + X1(i) + X0(i)• in the event of failure, data can be reconstructed but only one request at the time can be satisfied
b0 b1 b2 P(b) X2(i) = P(i) + X1(i) + X0(i)
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RAID Levels 4 and 5
strip 0 P(0-2)strip 2strip 1
P(3-5)strip 5strip 4strip 3
• independent access: each disk operates independently, multiple I/O request can be satisfied in parallel• large strips• RAID 4: for small writes: 2 reads + 2 writes
example: if write performed only on strip 0:P’(i) = X2(i) + X1(i) + X0’1(i) =
X2(i) + X1(i) + X0’(i) + X0(i) + X0(i) =
P(i) + X0’(i) + X0(i)
• RAID 5: parity strips are distributed across all disks
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UNIX SVR4 I/O