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Transcription:

Chapter 4 Memory Management 4.1 Basic memory management 4.2 Swapping 4.3 Virtual memory 4.4 Page replacement algorithms 4.5 Modeling page replacement algorithms 4.6 Design issues for paging systems 4.7 Implementation issues 4.8 Segmentation 170 Memory Management Want memory that is large fast non volatile Memory hierarchy small amount of fast, expensive memory cache some medium-speed, medium price main memory gigabytes of slow, cheap disk storage Memory manager handles the memory hierarchy 171 1

Basic Memory Management Monoprogramming without Swapping or Paging Three simple ways of organizing memory - an operating system with one user process 172 Multiprogramming with Fixed Partitions Fixed memory partitions separate input queues for each partition single input queue 173 2

Modeling Multiprogramming Degree of multiprogramming CPU utilization as a function of number of processes in memory 174 Analysis of Multiprogramming System Performance Arrival and work requirements of 4 jobs CPU utilization for 1 4 jobs with 80% I/O wait Sequence of events as jobs arrive and finish note numbers show amout of CPU time jobs get in each interval 175 3

Relocation and Protection Cannot be sure where program will be loaded in memory address locations of variables, code routines cannot be absolute must keep a program out of other processes partitions Use base and limit values address locations added to base value to map to physical addr address locations larger than limit value is an error 176 Swapping (1) Memory allocation changes as processes come into memory leave memory Shaded regions are unused memory 177 4

Swapping (2) Allocating space for growing data segment Allocating space for growing stack & data segment 178 Memory Management with Bit Maps Part of memory with 5 processes, 3 holes tick marks show allocation units shaded regions are free Corresponding bit map Same information as a list 179 5

Memory Management with Linked Lists Four neighbor combinations for the terminating process X 180 Swapping: Free space Key operation: search for a hole (and merge) First Fit, Next Fit (worse) Best Fit, Worst Fit (largest hole) Quick Fit Info maintained on Bitmaps, Linked Lists 181 6

virtual ( ) 2. Existing in the mind, especially as a product of the imagination. (American Heritage) 1. Being actually such in almost every respect; "the once elegant temple lay in virtual ruin"; 2. Being such in essence or effect though not in actual fact; "a virtual dependence on charity"; "a virtual revolution"; "virtual reality." (ultralingua.net) 182 Virtual Memory virtual addresses, space - logical/pages real addresses, space - physical/frames Memory Management Unit (MMU) translates logical to physical addresses paging: assign a page (chunk of contiguous logical addresses) to a frame supported by page table variants, costs 183 7

Virtual Memory Paging (1) The position and function of the MMU 184 Paging (2) The relation between virtual addresses and physical memory addresses given by page table 185 8

Page Tables (1) Internal operation of MMU with 16 4 KB pages 186 Page Tables (2) Second-level page tables Top-level page table 32 bit address with 2 page table fields Two-level page tables 187 9

Page Tables (3) Typical page table entry 188 TLBs Translation Lookaside Buffers A TLB to speed up paging 189 10

Inverted Page Tables Comparison of a traditional page table with an inverted page table 190 Page Replacement Algorithms Page fault forces choice which page must be removed make room for incoming page Modified page must first be saved unmodified just overwritten Better not to choose an often used page will probably need to be brought back in soon 191 11

Optimal Page Replacement Algorithm Replace page needed at the farthest point in future Optimal but unrealizable Estimate by logging page use on previous runs of process although this is impractical 192 Not Recently Used Page Replacement Algorithm Each page has Reference bit, Modified bit bits are set when page is referenced, modified Pages are classified 1. not referenced, not modified 2. not referenced, modified 3. referenced, not modified 4. referenced, modified NRU removes page at random from lowest numbered non empty class 193 12

FIFO Page Replacement Algorithm Maintain a linked list of all pages in order they came into memory Page at beginning of list replaced Disadvantage page in memory the longest may be often used 194 Second Chance Page Replacement Algorithm Operation of a second chance pages sorted in FIFO order Page list if fault occurs at time 20, A has R bit set (numbers above pages are loading times) 195 13

The Clock Page Replacement Algorithm 196 Least Recently Used (LRU) Assume pages used recently will used again soon throw out page that has been unused for longest time Must keep a linked list of pages most recently used at front, least at rear update this list every memory reference!! Alternatively keep counter in each page table entry choose page with lowest value counter periodically zero the counter 197 14

Simulating LRU in Software (1) LRU using a matrix pages referenced in order 0,1,2,3,2,1,0,3,2,3 198 Simulating LRU in Software (2) The aging algorithm simulates LRU in software Note 6 pages for 5 clock ticks, (a) (e) 199 15

The Working Set Page Replacement Algorithm (1) The working set is the set of pages used by the k most recent memory references w(k,t) is the size of the working set at time, t 200 The Working Set Page Replacement Algorithm (2) The working set algorithm 201 16

The WSClock Page Replacement Algorithm Operation of the WSClock algorithm 202 Review of Page Replacement Algorithms 203 17

Modeling Page Replacement Algorithms Belady's Anomaly FIFO with 3 page frames FIFO with 4 page frames P's show which page references show page faults 204 Stack Algorithms 7 4 6 5 State of memory array, M, after each item in reference string is processed 205 18

The Distance String Probability density functions for two hypothetical distance strings 206 The Distance String Computation of page fault rate from distance string the C vector the F vector 207 19

Design Issues for Paging Systems Local versus Global Allocation Policies (1) Original configuration Local page replacement Global page replacement 208 Local versus Global Allocation Policies (2) Page fault rate as a function of the number of page frames assigned 209 20

Load Control Despite good designs, system may still thrash When PFF algorithm indicates some processes need more memory but no processes need less Solution : Reduce number of processes competing for memory swap one or more to disk, divide up pages they held reconsider degree of multiprogramming 210 Advantages Page Size (1) Small page size less internal fragmentation better fit for various data structures, code sections less unused program in memory Disadvantages programs need many pages, larger page tables 211 21

Page Size (2) Overhead due to page table and internal fragmentation overhead = s e / p + p / 2 optimal page size - p = 2se s = average process size in bytes p = page size in bytes e = 1 page entry in bytes e.g., s = 1MB, e = 8B, p=4kb internal fragmentation page table space 212 Separate Instruction and Data Spaces One address space Separate I and D spaces 213 22

Shared Pages Two processes sharing same program sharing its page table 214 Shared Pages (2) Easy with separate Instruction / Data spaces Problem: eviction of a process might evict its shared pages - need to know (GC anyone)? Share Data pages? cf. Unix s fork each proc its page table, same pages, readonly when a proc writes: trap. copy on write Anyway, always need free frames 215 23

Cleaning Policy Need for a background process, paging daemon periodically inspects state of memory When too few frames are free selects pages to evict using a replacement algorithm It can use same circular list (clock) as regular page replacement algorithmbut with diff ptr 216 Virtual Memory Interface VM usually transparent (to whom?) Alternative: programmers see memory map specify that processes share memory share memory = high bandwidth (problems?) message passing: map/unmap pages 217 24

Implementation Issues Operating System Involvement with Paging Four times when OS involved with paging 1. Process creation - determine program size - create page table 2. Process execution - MMU reset for new process - TLB flushed 3. Page fault time - determine virtual address causing fault - swap target page out, needed page in 4. Process termination time - release page table, pages 218 Page Fault Handling (1) 1. Hardware traps to kernel Save PC on Stack, possible instruction state in CPU reg 2. General registers saved Assembly routine saves CPU registers, calls OS 3. OS determines which virtual page needed Possibly inspect instruction 4. OS checks validity of address, seeks page frame If invalid, kill process; if no free frame, choose victim 5. If selected frame is dirty, write it to disk Suspend faulting process, run another while I/O completes 219 25

Page Fault Handling (2) 6. OS schedules I/O to bring new page in from disk 7. Page tables updated 8. Faulting instruction backed up to when it began 9. Faulting process scheduled 10. Registers restored; Program continues 220 Other Implementation Issues Instruction rollback (backup) Locking pages in memory (pinning) Backing store (static / dynamic) Memory Manager at User Level Separation of Policy and Mechanism 221 26

Instruction Backup An instruction causing a page fault 222 Locking Pages in Memory Virtual memory and I/O occasionally interact Proc issues call for read from device into buffer while waiting for I/O, another processes starts up has a page fault buffer for the first proc may be chosen to be paged out Need to specify some pages locked exempted from being target pages 223 27

Backing Store (a) Paging to static swap area (b) Backing up pages dynamically 224 Separation of Policy and Mechanism Page fault handling with an external pager 225 28

Segmentation (1) One-dimensional address space with growing tables One table may bump into another 226 Segmentation (2) Allows each table to grow or shrink, independently 227 29

Segmentation (3) Segment: Linear sequence of addresses Each can grow/shrink independently Addresses: (segment #, address within it) All segments start at 0 (simpler to gen.) Distinct protections, shared libraries easier Consider paging versus segmentation issues size, fragmentation, relocation 228 Segmentation (4) Comparison of paging and segmentation 229 30

Implementation of Pure Segmentation (a)-(d) Development of checkerboarding (e) Removal of the checkerboarding by compaction 230 MULTICS segmentation/paging 2^18 segments, each 65536 words long each segment a virtual memory (so paged) paging: uniform page size, ability to keep some of it off main memory segmentation: easier programming, protection, sharing - modularity. each program has a segment table (itself a paged segment!) 231 31

Segmentation with Paging: MULTICS (1) Descriptor segment points to page tables Segment descriptor numbers are field lengths 232 Segmentation with Paging: MULTICS (2) A 34-bit MULTICS virtual address 233 32

MULTICS memory reference 1. segment # points to segment descriptor 2. check if segm page table is in memory, if not a segment fault happens; protection also checked 3. check page table entry for page; if not in memory, page fault. 4. Offset is added, read/store happens 234 Segmentation with Paging: MULTICS (3) Conversion of a 2-part MULTICS address into a main memory address 235 33

Segmentation with Paging: MULTICS (4) Simplified version of the MULTICS TLB Existence of 2 page sizes makes actual TLB more complicated 236 Segmentation with Paging: Pentium (1) A Pentium selector 237 34

Segmentation with Paging: Pentium (2) Pentium code segment descriptor Data segments differ slightly 238 Segmentation with Paging: Pentium (3) Conversion of a (selector, offset) pair to a linear address 239 35

Segmentation with Paging: Pentium (4) Mapping of a linear address onto a physical address 240 Segmentation with Paging: Pentium (5) Level Protection on the Pentium 241 36