OS Chapter 8
2015-11-01 17:18:43 0 举报
AI智能生成
操作系统的第八章主要探讨了进程管理。这包括进程的创建、调度和终止,以及进程间的同步与通信。进程是计算机中进行计算的基本单位,它们可以并行执行以提高系统的效率。进程管理的目标是确保系统中的所有进程都能有效地共享处理器和其他资源。为了实现这一目标,操作系统需要对进程进行调度,决定哪个进程何时使用处理器。此外,进程间可能需要进行同步或通信,例如一个进程可能需要等待另一个进程完成其工作。在这一章中,我们还会讨论一些常见的进程调度算法,如先来先服务、短作业优先和优先级调度等。
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Background
Main memory and registers are only storage CPU can access directly
Register access in one CPU clock (or less)
Main memory can take many cycles
Cache sits between main memory and CPU registers
Protection of memory required to ensure correct operation
Address binding of instructions and data to memory addresses can happen at three different stages
Compile time: If memory location known a priori, absolute code can be generated; must recompile code if starting location changes
Load time: Must generate relocatable code if memory location is not known at compile time
Execution time: Binding delayed until run time if the process can be moved during its execution from one memory segment to another
Logical vs. Physical Address Space
Logical address
Logical address – generated by the CPU; also referred to as virtual address
Logical address space is the set of all logical addresses generated by a program
Physical address
Physical address – address seen by the memory unit
Physical address space is the set of all physical addresses generated by a program
Logical and physical addresses are
the same in compile-time and load-time address-binding schemes;
differ in execution-time address-binding scheme
Memory-Management Unit (MMU)
Hardware device that at run time maps virtual to physical address
To start, consider simple scheme where the value in the relocation register is added to every address generated by a user process at the time it is sent to memory
Base register now called relocation register
The user program deals with logical addresses; it never sees the real physical addresses
Dynamic Loading
Routine is not loaded until it is called
Better memory-space utilization; unused routine is never loaded
All routines kept on disk in relocatable load format
Useful when large amounts of code are needed to handle infrequently occurring cases
No special support from the operating system is required
Implemented through program design
OS can help by providing libraries to implement dynamic loading
Dynamic Linking
Dynamic linking –linking postponed until execution time
Small piece of code, stub, used to locate the appropriate memory-resident library routine
Stub replaces itself with the address of the routine, and executes the routine
Operating system checks if routine is in processes’ memory address
If not in address space, add to address space
Dynamic linking is particularly useful for libraries
System also known as shared libraries
Swapping
concept
A process can be swapped temporarily out of memory to a backing store, and then brought back into memory for continued execution
Total physical memory space of processpokemon920528es can exceed physical memory
Major part of swap time is transfer time; total transfer time is directly proportional to the amount of memory swapped
Does the swapped out process need to swap back in to same physical addresses?
Depends on address binding method
Backing store
fast disk large enough to accommodate copies of all memory images for all users; must provide direct access to these memory images
Roll out, roll in
swapping variant used for priority-based scheduling algorithms; lower-priority process is swapped out so higher-priority process can be loaded and executed
Context Switch Time including Swapping
If next processes to be put on CPU is not in memory, need to swap out a process and swap in target process
Context switch time can then be very high
100MB process swapping to hard disk with transfer rate of 50MB/sec
Plus disk latency of 8 ms
Swap out time of 2008 ms (2000ms+ 8ms)
Plus swap in of same sized process
Total context switch swapping component time of 4016ms (> 4 seconds)
Can reduce if reduce size of memory swapped – by knowing how much memory really being used
System calls to inform OS of memory use via request memory and release memory
Contiguous Memory Allocation
Main memory usually into two partitions
Resident operating system, usually held in low memory with interrupt vector
User processes then held in high memory
Each process contained in single contiguous section of memory
memory mapping and protection
Relocation registers used to protect user processes from each other, and from changing operating-system code and data
Base register contains value of smallest physical address
Limit register contains range of logical addresses – each logical address must be less than the limit register
MMU maps logical address dynamically
Can then allow actions such as kernel code being transient and kernel changing size
Multiple-partition allocation
Hole – block of available memory; holes of various size are scattered throughout memory
When a process arrives, it is allocated memory from a hole large enough to accommodate it
Process exiting frees its partition, adjacent free partitions combined
Operating system maintains information about: a) allocated partitions b) free partitions (hole)
How to satisfy a request of size n from a list of free holes?
First-fit: Allocate the first hole that is big enough
Best-fit: Allocate the smallest hole that is big enough; must search entire list, unless ordered by size
Produces the smallest leftover hole
Worst-fit: Allocate the largest hole; must also search entire list
Produces the largest leftover hole
First-fit and best-fit better than worst-fit in terms of speed and storage utilization
Fragmentation
External Fragmentation
total memory space exists to satisfy a request, but it is not contiguous
Internal Fragmentation
allocated memory may be slightly larger than requested memory; this size difference is memory internal to a partition, but not being used
Reduce external fragmentation by compaction
Shuffle memory contents to place all free memory together in one large block
Compaction is possible only if relocation is dynamic, and is done at execution time
I/O problem
Latch job in memory while it is involved in I/O
Do I/O only into OS buffers
Paging
concept
Its a memory-management scheme that permits the Physical address space of a process can be noncontiguous; process is allocated physical memory whenever the latter is available
Divide physical memory into fixed-sized blocks called frames
Size is power of 2, between 512 bytes and 16 Mbytes
Divide logical memory into blocks of same size called pages
To run a program of size N pages, need to find N free frames and load program
Set up a page table to translate logical to physical addresses
Backing store likewise split into pages
disadvantage : Still have Internal fragmentation
Address Translation Scheme
Page number (p) – used as an index into a page table which contains base address of each page in physical memory
Page offset (d) – combined with base address to define the physical memory address that is sent to the memory unit
Calculating internal fragmentation
Page size = 2,048 bytes
Process size = 72,766 bytes
35 pages + 1,086 bytes
Internal fragmentation of 2,048 - 1,086 = 962 bytes
Worst case fragmentation = 1 frame – 1 byte
On average fragmentation = 1 / 2 frame size
So small frame sizes desirable?
But each page table entry takes memory to track
Page sizes growing over time
Implementation of Page Table
Page table is kept in main memory
Page-table base register (PTBR) points to the page table
Page-table length register (PTLR) indicates size of the page table
In this scheme every data/instruction access requires two memory accesses
One for the page table and one for the data / instruction
The two memory access problem can be solved by the use of a special fast-lookup hardware cache called associative memory or translation look-aside buffers (TLBs)
Some TLBs store address-space identifiers (ASIDs) in each TLB entry – uniquely identifies each process to provide address-space protection for that process
On a TLB miss, value is loaded into the TLB for faster access next time
Replacement policies must be considered
Some entries can be wired down for permanent fast access
Associative Memory
Associative memory – parallel search
Address translation (p, d)
If p is in associative register, get frame # out
Otherwise get frame # from page table in memory
Effective Access Time
Associative Lookup = "e" time unit
Can be < 10% of memory access time
Hit ratio = "a"
Hit ratio – percentage of times that a page number is found in the associative registers; ratio related to number of associative registers
Consider "a" = 80%, "e" = 20ns for TLB search, 100ns for memory access
EAT = 0.80 x (20 + 100) + 0.20 x (20 + 100 + 100) = 140ns
Consider slower memory but better hit ratio -> "a" = 98%, "e" = 20ns for TLB search, 140ns for memory access
EAT = 0.98 x 160 + 0.02 x 300 = 162.8ns
Memory Protection
Memory protection implemented by associating protection bit with each frame to indicate if read-only or read-write access is allowed
Can also add more bits to indicate page execute-only, and so on
Valid-invalid bit attached to each entry in the page table:
“valid” indicates that the associated page is in the process's logical address space, and is thus a legal page
“invalid” indicates that the page is not in the process’ logical address space
Or use PTLR (Page-table length register)
Shared Pages
Shared code
One copy of read-only (reentrant) code shared among processes (i.e., text editors, compilers, window systems)
Similar to multiple threads sharing the same process space
Private code and data
Each process keeps a separate copy of the code and data
The pages for the private code and data can appear anywhere in the logical address space
Structure of the Page Table
concept
Memory structures for paging can get huge using straight-forward methods
Consider a 32-bit logical address space as on modern computers
Page size of 4 KB (212)
Page table would have 1 million entries (232 / 212)
If each entry is 4 bytes -> 4 MB of physical address space / memory for page table alone
Don’t want to allocate that contiguously in main memory
Hierarchical Paging
Break up the logical address space into multiple page tables
A simple technique is a two-level page table
We then page the page table
Two-Level Paging Example
A logical address (on 32-bit machine with 1K page size) is divided into:
a page number consisting of 22 bits
a page offset consisting of 10 bits
Since the page table is paged, the page number is further divided into:
a 12-bit page number
a 10-bit page offset
Thus, a logical address is as follows:where p1 is an index into the outer page table, and p2 is the displacement within the page of the inner page table
Known as forward-mapped page table
Hashed Page Tables
Common in address spaces > 32 bits
The virtual page number is hashed into a page table
This page table contains a chain of elements hashing to the same location
Each element contains
(1) the virtual page number
(2) the value of the mapped page frame
(3) a pointer to the next element
Virtual page numbers are compared in this chain searching for a match
If a match is found, the corresponding physical frame is extracted
Inverted Page Tables
One entry for each real page of memory
Entry consists of the virtual address of the page stored in that real memory location, with information about the process that owns that page
Decreases memory needed to store each page table, but increases time needed to search the table when a page reference occurs
Segmentation
concept
Memory-management scheme that supports user view of memory
Segmentation Architecture
Logical address consists of a two tuple:
Segment table – maps two-dimensional physical addresses; each table entry has:
base – contains the starting physical address where the segments reside in memory
limit – specifies the length of the segment
Segment-table base register (STBR) points to the segment table’s location in memory
Segment-table length register (STLR) indicates number of segments used by a program;
segment number s is legal if s < STLR
Protection With each entry in segment table associate:
validation bit = 0 => illegal segment
read/write/execute privileges
Since segments vary in length, memory allocation is a dynamic storage-allocation problem
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