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Overcoming Traditional Problems with OS Huge Page Management
MEGA: Overcoming Traditional Problems with OS Huge Page Management Theodore Michailidis Alex Delis Mema Roussopoulos University of Athens University of Athens University of Athens Athens, Greece Athens, Greece Athens, Greece [email protected] [email protected] [email protected] ABSTRACT KEYWORDS Modern computer systems now feature memory banks whose Huge pages, Address Translation, Memory Compaction aggregate size ranges from tens to hundreds of GBs. In this context, contemporary workloads can and do often consume ACM Reference Format: Theodore Michailidis, Alex Delis, and Mema Roussopoulos. 2019. vast amounts of main memory. This upsurge in memory con- MEGA: Overcoming Traditional Problems with OS Huge Page Man- sumption routinely results in increased virtual-to-physical agement. In The 12th ACM International Systems and Storage Con- address translations, and consequently and more importantly, ference (SYSTOR ’19), June 3–5, 2019, Haifa, Israel. ACM, New York, more translation misses. Both of these aspects collectively NY, USA, 11 pages. https://doi.org/10.1145/3319647.3325839 do hamper the performance of workload execution. A solu- tion aimed at dramatically reducing the number of address translation misses has been to provide hardware support for 1 INTRODUCTION pages with bigger sizes, termed huge pages. In this paper, we Computer memory capacities have been increasing sig- empirically demonstrate the benefits and drawbacks of using nificantly over the past decades, leading to the development such huge pages. In particular, we show that it is essential of memory hungry workloads that consume vast amounts for modern OS to refine their software mechanisms to more of main memory. This upsurge in memory consumption rou- effectively manage huge pages. -
Extracting Compressed Pages from the Windows 10 Virtual Store WHITE PAPER | EXTRACTING COMPRESSED PAGES from the WINDOWS 10 VIRTUAL STORE 2
white paper Extracting Compressed Pages from the Windows 10 Virtual Store WHITE PAPER | EXTRACTING COMPRESSED PAGES FROM THE WINDOWS 10 VIRTUAL STORE 2 Abstract Windows 8.1 introduced memory compression in August 2013. By the end of 2013 Linux 3.11 and OS X Mavericks leveraged compressed memory as well. Disk I/O continues to be orders of magnitude slower than RAM, whereas reading and decompressing data in RAM is fast and highly parallelizable across the system’s CPU cores, yielding a significant performance increase. However, this came at the cost of increased complexity of process memory reconstruction and thus reduced the power of popular tools such as Volatility, Rekall, and Redline. In this document we introduce a method to retrieve compressed pages from the Windows 10 Memory Manager Virtual Store, thus providing forensics and auditing tools with a way to retrieve, examine, and reconstruct memory artifacts regardless of their storage location. Introduction Windows 10 moves pages between physical memory and the hard disk or the Store Manager’s virtual store when memory is constrained. Universal Windows Platform (UWP) applications leverage the Virtual Store any time they are suspended (as is the case when minimized). When a given page is no longer in the process’s working set, the corresponding Page Table Entry (PTE) is used by the OS to specify the storage location as well as additional data that allows it to start the retrieval process. In the case of a page file, the retrieval is straightforward because both the page file index and the location of the page within the page file can be directly retrieved. -
Asynchronous Page Faults Aix Did It Red Hat Author Gleb Natapov August 10, 2010
Asynchronous page faults Aix did it Red Hat Author Gleb Natapov August 10, 2010 Abstract Host memory overcommit may cause guest memory to be swapped. When guest vcpu access memory swapped out by a host its execution is suspended until memory is swapped back. Asynchronous page fault is a way to try and use guest vcpu more efficiently by allowing it to execute other tasks while page is brought back into memory. Part I How KVM Handles Guest Memory and What Inefficiency it Has With Regards to Host Swapping Mapping guest memory into host memory But we do it on demand Page fault happens on first guest access What happens on a page fault? 1 VMEXIT 2 kvm mmu page fault() 3 gfn to pfn() 4 get user pages fast() no previously mapped page and no swap entry found empty page is allocated 5 page is added into shadow/nested page table What happens on a page fault? 1 VMEXIT 2 kvm mmu page fault() 3 gfn to pfn() 4 get user pages fast() no previously mapped page and no swap entry found empty page is allocated 5 page is added into shadow/nested page table What happens on a page fault? 1 VMEXIT 2 kvm mmu page fault() 3 gfn to pfn() 4 get user pages fast() no previously mapped page and no swap entry found empty page is allocated 5 page is added into shadow/nested page table What happens on a page fault? 1 VMEXIT 2 kvm mmu page fault() 3 gfn to pfn() 4 get user pages fast() no previously mapped page and no swap entry found empty page is allocated 5 page is added into shadow/nested page table What happens on a page fault? 1 VMEXIT 2 kvm mmu page fault() 3 gfn to pfn() -
What Is an Operating System III 2.1 Compnents II an Operating System
Page 1 of 6 What is an Operating System III 2.1 Compnents II An operating system (OS) is software that manages computer hardware and software resources and provides common services for computer programs. The operating system is an essential component of the system software in a computer system. Application programs usually require an operating system to function. Memory management Among other things, a multiprogramming operating system kernel must be responsible for managing all system memory which is currently in use by programs. This ensures that a program does not interfere with memory already in use by another program. Since programs time share, each program must have independent access to memory. Cooperative memory management, used by many early operating systems, assumes that all programs make voluntary use of the kernel's memory manager, and do not exceed their allocated memory. This system of memory management is almost never seen any more, since programs often contain bugs which can cause them to exceed their allocated memory. If a program fails, it may cause memory used by one or more other programs to be affected or overwritten. Malicious programs or viruses may purposefully alter another program's memory, or may affect the operation of the operating system itself. With cooperative memory management, it takes only one misbehaved program to crash the system. Memory protection enables the kernel to limit a process' access to the computer's memory. Various methods of memory protection exist, including memory segmentation and paging. All methods require some level of hardware support (such as the 80286 MMU), which doesn't exist in all computers. -
Measuring Software Performance on Linux Technical Report
Measuring Software Performance on Linux Technical Report November 21, 2018 Martin Becker Samarjit Chakraborty Chair of Real-Time Computer Systems Chair of Real-Time Computer Systems Technical University of Munich Technical University of Munich Munich, Germany Munich, Germany [email protected] [email protected] OS program program CPU .text .bss + + .data +/- + instructions cache branch + coherency scheduler misprediction core + pollution + migrations data + + interrupt L1i$ miss access + + + + + + context mode + + (TLB flush) TLB + switch data switch miss L1d$ +/- + (KPTI TLB flush) miss prefetch +/- + + + higher-level readahead + page cache miss walk + + multicore + + (TLB shootdown) TLB coherency page DRAM + page fault + cache miss + + + disk + major minor I/O Figure 1. Event interaction map for a program running on an Intel Core processor on Linux. Each event itself may cause processor cycles, and inhibit (−), enable (+), or modulate (⊗) others. Abstract that our measurement setup has a large impact on the results. Measuring and analyzing the performance of software has More surprisingly, however, they also suggest that the setup reached a high complexity, caused by more advanced pro- can be negligible for certain analysis methods. Furthermore, cessor designs and the intricate interaction between user we found that our setup maintains significantly better per- formance under background load conditions, which means arXiv:1811.01412v2 [cs.PF] 20 Nov 2018 programs, the operating system, and the processor’s microar- chitecture. In this report, we summarize our experience on it can be used to improve high-performance applications. how performance characteristics of software should be mea- CCS Concepts • Software and its engineering → Soft- sured when running on a Linux operating system and a ware performance; modern processor. -
Guide to Openvms Performance Management
Guide to OpenVMS Performance Management Order Number: AA–PV5XA–TE May 1993 This manual is a conceptual and tutorial guide for experienced users responsible for optimizing performance on OpenVMS systems. Revision/Update Information: This manual supersedes the Guide to VMS Performance Management, Version 5.2. Software Version: OpenVMS VAX Version 6.0 Digital Equipment Corporation Maynard, Massachusetts May 1993 Digital Equipment Corporation makes no representations that the use of its products in the manner described in this publication will not infringe on existing or future patent rights, nor do the descriptions contained in this publication imply the granting of licenses to make, use, or sell equipment or software in accordance with the description. Possession, use, or copying of the software described in this publication is authorized only pursuant to a valid written license from Digital or an authorized sublicensor. © Digital Equipment Corporation 1993. All rights reserved. The postpaid Reader’s Comments forms at the end of this document request your critical evaluation to assist in preparing future documentation. The following are trademarks of Digital Equipment Corporation: ACMS, ALL–IN–1, Bookreader, CI, DBMS, DECnet, DECwindows, Digital, MicroVAX, OpenVMS, PDP–11, VAX, VAXcluster, VAX DOCUMENT, VMS, and the DIGITAL logo. All other trademarks and registered trademarks are the property of their respective holders. ZK4521 This document was prepared using VAX DOCUMENT Version 2.1. Contents Preface ............................................................ ix 1 Introduction to Performance Management 1.1 Knowing Your Workload ....................................... 1–2 1.1.1 Workload Management .................................... 1–3 1.1.2 Workload Distribution ..................................... 1–4 1.1.3 Code Sharing ............................................ 1–4 1.2 Evaluating User Complaints . -
Virtual Memory §5.4 Virt Virtual Memory U Al Memo Use Main Memory As a “Cache” For
Chapter 5 Large and Fast: Exppgloiting Memory Hierarchy Part II Virtual Memory §5.4 Virt Virtual Memory u al Memo Use main memory as a “cache” for secondary (disk) storage r y Managed jointly by CPU hardware and the operating system (OS) Programs share main memory Each gets a private virtual address space holdinggqy its frequently used code and data Protected from other programs CPU and OS translate virtual addresses to physical addresses VM “block” is called a page VM translation “miss” is called a page fault Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 2 Address Translation Fixed-size pages (e.g., 4K) Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 3 Page Fault Penalty On page fault, the page must be fetched from disk Takes millions of clock cycles Handled by OS code Try to minimize page fault rate Fully associative placement Smart replacement algorithms Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 4 Page Tables Stores placement information Array of page table entries, indexed by virtual page number Page table register in CPU points to page table in physical memory If page is present in memory PTE stores the physical page number Plus other status bits (referenced, dirty, …) If page is not present PTE can refer to location in swap space on dis k Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 5 Translation Using a Page Table Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 6 Mapping Pages to Storage Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 7 Replacement and Writes -
Demand Paging from the OS Perspective
HW 3 due 11/10 LLeecctuturree 1122:: DDeemmaanndd PPaaggiinngg CSE 120: Principles of Operating Systems Alex C. Snoeren MMeemmoorryy MMaannaaggeemmeenntt Last lecture on memory management: Goals of memory management ◆ To provide a convenient abstraction for programming ◆ To allocate scarce memory resources among competing processes to maximize performance with minimal overhead Mechanisms ◆ Physical and virtual addressing (1) ◆ Techniques: Partitioning, paging, segmentation (1) ◆ Page table management, TLBs, VM tricks (2) Policies ◆ Page replacement algorithms (3) 2 CSE 120 – Lecture 12 LLeecctuturree OOvveerrvviieeww Review paging and page replacement Survey page replacement algorithms Discuss local vs. global replacement Discuss thrashing 3 CSE 120 – Lecture 12 LLooccaalliityty All paging schemes depend on locality ◆ Processes reference pages in localized patterns Temporal locality ◆ Locations referenced recently likely to be referenced again Spatial locality ◆ Locations near recently referenced locations are likely to be referenced soon Although the cost of paging is high, if it is infrequent enough it is acceptable ◆ Processes usually exhibit both kinds of locality during their execution, making paging practical 4 CSE 120 – Lecture 12 DDeemmaanndd PPaaggiinngg ((OOSS)) Recall demand paging from the OS perspective: ◆ Pages are evicted to disk when memory is full ◆ Pages loaded from disk when referenced again ◆ References to evicted pages cause a TLB miss » PTE was invalid, causes fault ◆ OS allocates a page frame, reads -
Virtual Memorymemory
ChapterChapter 9:9: VirtualVirtual MemoryMemory ChapterChapter 9:9: VirtualVirtual MemoryMemory ■ Background ■ Demand Paging ■ Process Creation ■ Page Replacement ■ Allocation of Frames ■ Thrashing ■ Demand Segmentation ■ Operating System Examples Operating System Concepts 9.2 Silberschatz, Galvin and Gagne ©2009 BackgroundBackground ■ Virtual memory – separation of user logical memory from physical memory. ● Only part of a program needs to be in memory for execution (can really execute only one instruction at a time) Only have to load code that is needed Less I/O, so potential performance gain More programs in memory, so better resource allocation and throughput ● Logical address space can therefore be much larger than physical address space. Programs can be larger than memory Less management required by programmers ● Need to allow pages to be swapped in and out ■ Virtual memory can be implemented via: ● Demand paging (for both paging and swapping) ● Demand segmentation Operating System Concepts 9.3 Silberschatz, Galvin and Gagne ©2009 VirtualVirtual MemoryMemory ThatThat isis LargerLarger ThanThan PhysicalPhysical MemoryMemory Operating System Concepts 9.4 Silberschatz, Galvin and Gagne ©2009 AA Process’sProcess’s Virtual-addressVirtual-address SpaceSpace Operating System Concepts 9.5 Silberschatz, Galvin and Gagne ©2009 VirtualVirtual MemoryMemory hashas ManyMany UsesUses ■ In addition to separating logical from physical memory, virtual memory can enable processes to share memory ■ Provides following benefits: ● Can share system -
Operating Systems
UC Santa Barbara Operating Systems Christopher Kruegel Department of Computer Science UC Santa Barbara http://www.cs.ucsb.edu/~chris/ Virtual Memory and Paging UC Santa Barbara • What if a program is too big to be loaded in memory • What if a higher degree of multiprogramming is desirable • Physical memory is split in page frames • Virtual memory is split in pages • OS (with help from the hardware) manages the mapping between pages and page frames 2 Mapping Pages to Page Frames UC Santa Barbara • Virtual memory: 64KB • Physical memory: 32KB • Page size: 4KB • Virtual memory pages: 16 • Physical memory pages: 8 3 Memory Management Unit UC Santa Barbara • Automatically performs the mapping from virtual addresses into physical addresses 4 Memory Management Unit UC Santa Barbara • Addresses are split into a page number and an offset • Page numbers are used to look up a table in the MMU with as many entries as the number of virtual pages • Each entry in the table contains a bit that states if the virtual page is actually mapped to a physical one • If it is so, the entry contains the number of physical page used • If not, a page fault is generated and the OS has to deal with it 5 Page Tables UC Santa Barbara • Page tables contain an entry for each virtual table • If virtual memory is big (e.g., 32 bit and 64 bit addresses) the table can become of unmanageable size • Solution: instead of keeping them in the MMU move them to main memory • Problem: page tables are used each time an access to memory is performed. -
An Evolutionary Study of Linux Memory Management for Fun and Profit Jian Huang, Moinuddin K
An Evolutionary Study of Linux Memory Management for Fun and Profit Jian Huang, Moinuddin K. Qureshi, and Karsten Schwan, Georgia Institute of Technology https://www.usenix.org/conference/atc16/technical-sessions/presentation/huang This paper is included in the Proceedings of the 2016 USENIX Annual Technical Conference (USENIX ATC ’16). June 22–24, 2016 • Denver, CO, USA 978-1-931971-30-0 Open access to the Proceedings of the 2016 USENIX Annual Technical Conference (USENIX ATC ’16) is sponsored by USENIX. An Evolutionary Study of inu emory anagement for Fun and rofit Jian Huang, Moinuddin K. ureshi, Karsten Schwan Georgia Institute of Technology Astract the patches committed over the last five years from 2009 to 2015. The study covers 4587 patches across Linux We present a comprehensive and uantitative study on versions from 2.6.32.1 to 4.0-rc4. We manually label the development of the Linux memory manager. The each patch after carefully checking the patch, its descrip- study examines 4587 committed patches over the last tions, and follow-up discussions posted by developers. five years (2009-2015) since Linux version 2.6.32. In- To further understand patch distribution over memory se- sights derived from this study concern the development mantics, we build a tool called MChecker to identify the process of the virtual memory system, including its patch changes to the key functions in mm. MChecker matches distribution and patterns, and techniues for memory op- the patches with the source code to track the hot func- timizations and semantics. Specifically, we find that tions that have been updated intensively. -
Virtual Memory HW
Administrivia • Lab 1 due Friday 12pm (noon) • We give will give short extensions to groups that run into trouble. But email us: - How much is done and left? - How much longer do you need? • Attend section Friday at 12:30pm to learn about lab 2. 1 / 37 Virtual memory • Came out of work in late 1960s by Peter Denning (lower right) - Established working set model - Led directly to virtual memory 2 / 37 Want processes to co-exist 0x9000 OS 0x7000 gcc 0x4000 bochs/pintos 0x3000 emacs 0x0000 • Consider multiprogramming on physical memory - What happens if pintos needs to expand? - If emacs needs more memory than is on the machine? - If pintos has an error and writes to address 0x7100? - When does gcc have to know it will run at 0x4000? - What if emacs isn’t using its memory? 3 / 37 Issues in sharing physical memory • Protection - A bug in one process can corrupt memory in another - Must somehow prevent process A from trashing B’s memory - Also prevent A from even observing B’s memory (ssh-agent) • Transparency - A process shouldn’t require particular physical memory bits - Yes processes often require large amounts of contiguous memory (for stack, large data structures, etc.) • Resource exhaustion - Programmers typically assume machine has “enough” memory - Sum of sizes of all processes often greater than physical memory 4 / 37 Virtual memory goals Is address No: to fault handler kernel legal? . virtual address Yes: phys. 0x30408 addr 0x92408 load MMU memory . • Give each program its own virtual address space - At runtime, Memory-Management Unit relocates each load/store - Application doesn’t see physical memory addresses • Also enforce protection - Prevent one app from messing with another’s memory • And allow programs to see more memory than exists - Somehow relocate some memory accesses to disk 5 / 37 Virtual memory goals Is address No: to fault handler kernel legal? .