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Kernel Boot-Time Tracing
Kernel Boot-time Tracing Linux Plumbers Conference 2019 - Tracing Track Masami Hiramatsu <[email protected]> Linaro, Ltd. Speaker Masami Hiramatsu - Working for Linaro and Linaro members - Tech Lead for a Landing team - Maintainer of Kprobes and related tracing features/tools Why Kernel Boot-time Tracing? Debug and analyze boot time errors and performance issues - Measure performance statistics of kernel boot - Analyze driver init failure - Debug boot up process - Continuously tracing from boot time etc. What We Have There are already many ftrace options on kernel command line ● Setup options (trace_options=) ● Output to printk (tp_printk) ● Enable events (trace_events=) ● Enable tracers (ftrace=) ● Filtering (ftrace_filter=,ftrace_notrace=,ftrace_graph_filter=,ftrace_graph_notrace=) ● Add kprobe events (kprobe_events=) ● And other options (alloc_snapshot, traceoff_on_warning, ...) See Documentation/admin-guide/kernel-parameters.txt Example of Kernel Cmdline Parameters In grub.conf linux /boot/vmlinuz-5.1 root=UUID=5a026bbb-6a58-4c23-9814-5b1c99b82338 ro quiet splash tp_printk trace_options=”sym-addr” trace_clock=global ftrace_dump_on_oops trace_buf_size=1M trace_event=”initcall:*,irq:*,exceptions:*” kprobe_event=”p:kprobes/myevent foofunction $arg1 $arg2;p:kprobes/myevent2 barfunction %ax” What Issues? Size limitation ● kernel cmdline size is small (< 256bytes) ● A half of the cmdline is used for normal boot Only partial features supported ● ftrace has too complex features for single command line ● per-event filters/actions, instances, histograms. Solutions? 1. Use initramfs - Too late for kernel boot time tracing 2. Expand kernel cmdline - It is not easy to write down complex tracing options on bootloader (Single line options is too simple) 3. Reuse structured boot time data (Devicetree) - Well documented, structured data -> V1 & V2 series based on this. Boot-time Trace: V1 and V2 series V1 and V2 series posted at June. -
Linux Kernal II 9.1 Architecture
Page 1 of 7 Linux Kernal II 9.1 Architecture: The Linux kernel is a Unix-like operating system kernel used by a variety of operating systems based on it, which are usually in the form of Linux distributions. The Linux kernel is a prominent example of free and open source software. Programming language The Linux kernel is written in the version of the C programming language supported by GCC (which has introduced a number of extensions and changes to standard C), together with a number of short sections of code written in the assembly language (in GCC's "AT&T-style" syntax) of the target architecture. Because of the extensions to C it supports, GCC was for a long time the only compiler capable of correctly building the Linux kernel. Compiler compatibility GCC is the default compiler for the Linux kernel source. In 2004, Intel claimed to have modified the kernel so that its C compiler also was capable of compiling it. There was another such reported success in 2009 with a modified 2.6.22 version of the kernel. Since 2010, effort has been underway to build the Linux kernel with Clang, an alternative compiler for the C language; as of 12 April 2014, the official kernel could almost be compiled by Clang. The project dedicated to this effort is named LLVMLinxu after the LLVM compiler infrastructure upon which Clang is built. LLVMLinux does not aim to fork either the Linux kernel or the LLVM, therefore it is a meta-project composed of patches that are eventually submitted to the upstream projects. -
Hiding Process Memory Via Anti-Forensic Techniques
DIGITAL FORENSIC RESEARCH CONFERENCE Hiding Process Memory via Anti-Forensic Techniques By: Frank Block (Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) and ERNW Research GmbH) and Ralph Palutke (Friedrich-Alexander Universität Erlangen-Nürnberg) From the proceedings of The Digital Forensic Research Conference DFRWS USA 2020 July 20 - 24, 2020 DFRWS is dedicated to the sharing of knowledge and ideas about digital forensics research. Ever since it organized the first open workshop devoted to digital forensics in 2001, DFRWS continues to bring academics and practitioners together in an informal environment. As a non-profit, volunteer organization, DFRWS sponsors technical working groups, annual conferences and challenges to help drive the direction of research and development. https://dfrws.org Forensic Science International: Digital Investigation 33 (2020) 301012 Contents lists available at ScienceDirect Forensic Science International: Digital Investigation journal homepage: www.elsevier.com/locate/fsidi DFRWS 2020 USA d Proceedings of the Twentieth Annual DFRWS USA Hiding Process Memory Via Anti-Forensic Techniques Ralph Palutke a, **, 1, Frank Block a, b, *, 1, Patrick Reichenberger a, Dominik Stripeika a a Friedrich-Alexander Universitat€ Erlangen-Nürnberg (FAU), Germany b ERNW Research GmbH, Heidelberg, Germany article info abstract Article history: Nowadays, security practitioners typically use memory acquisition or live forensics to detect and analyze sophisticated malware samples. Subsequently, malware authors began to incorporate anti-forensic techniques that subvert the analysis process by hiding malicious memory areas. Those techniques Keywords: typically modify characteristics, such as access permissions, or place malicious data near legitimate one, Memory subversion in order to prevent the memory from being identified by analysis tools while still remaining accessible. -
Improving the Performance of Hybrid Main Memory Through System Aware Management of Heterogeneous Resources
IMPROVING THE PERFORMANCE OF HYBRID MAIN MEMORY THROUGH SYSTEM AWARE MANAGEMENT OF HETEROGENEOUS RESOURCES by Juyoung Jung B.S. in Information Engineering, Korea University, 2000 Master in Computer Science, University of Pittsburgh, 2013 Submitted to the Graduate Faculty of the Kenneth P. Dietrich School of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH KENNETH P. DIETRICH SCHOOL OF ARTS AND SCIENCES This dissertation was presented by Juyoung Jung It was defended on December 7, 2016 and approved by Rami Melhem, Ph.D., Professor at Department of Computer Science Bruce Childers, Ph.D., Professor at Department of Computer Science Daniel Mosse, Ph.D., Professor at Department of Computer Science Jun Yang, Ph.D., Associate Professor at Electrical and Computer Engineering Dissertation Director: Rami Melhem, Ph.D., Professor at Department of Computer Science ii IMPROVING THE PERFORMANCE OF HYBRID MAIN MEMORY THROUGH SYSTEM AWARE MANAGEMENT OF HETEROGENEOUS RESOURCES Juyoung Jung, PhD University of Pittsburgh, 2016 Modern computer systems feature memory hierarchies which typically include DRAM as the main memory and HDD as the secondary storage. DRAM and HDD have been extensively used for the past several decades because of their high performance and low cost per bit at their level of hierarchy. Unfortunately, DRAM is facing serious scaling and power consumption problems, while HDD has suffered from stagnant performance improvement and poor energy efficiency. After all, computer system architects have an implicit consensus that there is no hope to improve future system’s performance and power consumption unless something fundamentally changes. -
A Hybrid Swapping Scheme Based on Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018)
Received August 19, 2018, accepted September 14, 2018, date of publication October 1, 2018, date of current version October 25, 2018. Digital Object Identifier 10.1109/ACCESS.2018.2872794 A Hybrid Swapping Scheme Based On Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018) JUNYEONG HAN 1, SUNGEUN KIM1, SUNGYOUNG LEE1, JAEHWAN LEE2, AND SUNG JO KIM2 1LG Electronics, Seoul 07336, South Korea 2School of Software, Chung-Ang University, Seoul 06974, South Korea Corresponding author: Sung Jo Kim ([email protected]) This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A1B03931004 and in part by the Chung-Ang University Research Scholarship Grants in 2015. ABSTRACT As a way to increase the actual main memory capacity of Android smartphones, most of them make use of zRAM swapping, but it has limitation in increasing its capacity since it utilizes main memory. Unfortunately, they cannot use secondary storage as a swap space due to the long response time and wear-out problem. In this paper, we propose a hybrid swapping scheme based on per-process reclaim that supports both secondary-storage swapping and zRAM swapping. It attempts to swap out all the pages in the working set of a process to a zRAM swap space rather than killing the process selected by a low-memory killer, and to swap out the least recently used pages into a secondary storage swap space. The main reason being is that frequently swap- in/out pages use the zRAM swap space while less frequently swap-in/out pages use the secondary storage swap space, in order to reduce the page operation cost. -
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. -
Review Der Linux Kernel Sourcen Von 4.9 Auf 4.10
Review der Linux Kernel Sourcen von 4.9 auf 4.10 Reviewed by: Tested by: stecan stecan Period of Review: Period of Test: From: Thursday, 11 January 2018 07:26:18 o'clock +01: From: Thursday, 11 January 2018 07:26:18 o'clock +01: To: Thursday, 11 January 2018 07:44:27 o'clock +01: To: Thursday, 11 January 2018 07:44:27 o'clock +01: Report automatically generated with: LxrDifferenceTable, V0.9.2.548 Provided by: Certified by: Approved by: Account: stecan Name / Department: Date: Friday, 4 May 2018 13:43:07 o'clock CEST Signature: Review_4.10_0_to_1000.pdf Page 1 of 793 May 04, 2018 Review der Linux Kernel Sourcen von 4.9 auf 4.10 Line Link NR. Descriptions 1 .mailmap#0140 Repo: 9ebf73b275f0 Stephen Tue Jan 10 16:57:57 2017 -0800 Description: mailmap: add codeaurora.org names for nameless email commits ----------- Some codeaurora.org emails have crept in but the names don't exist for them. Add the names for the emails so git can match everyone up. Link: http://lkml.kernel.org/r/[email protected] 2 .mailmap#0154 3 .mailmap#0160 4 CREDITS#2481 Repo: 0c59d28121b9 Arnaldo Mon Feb 13 14:15:44 2017 -0300 Description: MAINTAINERS: Remove old e-mail address ----------- The ghostprotocols.net domain is not working, remove it from CREDITS and MAINTAINERS, and change the status to "Odd fixes", and since I haven't been maintaining those, remove my address from there. CREDITS: Remove outdated address information ----------- This address hasn't been accurate for several years now. -
Thread Scheduling in Multi-Core Operating Systems Redha Gouicem
Thread Scheduling in Multi-core Operating Systems Redha Gouicem To cite this version: Redha Gouicem. Thread Scheduling in Multi-core Operating Systems. Computer Science [cs]. Sor- bonne Université, 2020. English. tel-02977242 HAL Id: tel-02977242 https://hal.archives-ouvertes.fr/tel-02977242 Submitted on 24 Oct 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Ph.D thesis in Computer Science Thread Scheduling in Multi-core Operating Systems How to Understand, Improve and Fix your Scheduler Redha GOUICEM Sorbonne Université Laboratoire d’Informatique de Paris 6 Inria Whisper Team PH.D.DEFENSE: 23 October 2020, Paris, France JURYMEMBERS: Mr. Pascal Felber, Full Professor, Université de Neuchâtel Reviewer Mr. Vivien Quéma, Full Professor, Grenoble INP (ENSIMAG) Reviewer Mr. Rachid Guerraoui, Full Professor, École Polytechnique Fédérale de Lausanne Examiner Ms. Karine Heydemann, Associate Professor, Sorbonne Université Examiner Mr. Etienne Rivière, Full Professor, University of Louvain Examiner Mr. Gilles Muller, Senior Research Scientist, Inria Advisor Mr. Julien Sopena, Associate Professor, Sorbonne Université Advisor ABSTRACT In this thesis, we address the problem of schedulers for multi-core architectures from several perspectives: design (simplicity and correct- ness), performance improvement and the development of application- specific schedulers. -
Embedded Linux Conference Europe 2019
Embedded Linux Conference Europe 2019 Linux kernel debugging: going beyond printk messages Embedded Labworks By Sergio Prado. São Paulo, October 2019 ® Copyright Embedded Labworks 2004-2019. All rights reserved. Embedded Labworks ABOUT THIS DOCUMENT ✗ This document is available under Creative Commons BY- SA 4.0. https://creativecommons.org/licenses/by-sa/4.0/ ✗ The source code of this document is available at: https://e-labworks.com/talks/elce2019 Embedded Labworks $ WHOAMI ✗ Embedded software developer for more than 20 years. ✗ Principal Engineer of Embedded Labworks, a company specialized in the development of software projects and BSPs for embedded systems. https://e-labworks.com/en/ ✗ Active in the embedded systems community in Brazil, creator of the website Embarcados and blogger (Portuguese language). https://sergioprado.org ✗ Contributor of several open source projects, including Buildroot, Yocto Project and the Linux kernel. Embedded Labworks THIS TALK IS NOT ABOUT... ✗ printk and all related functions and features (pr_ and dev_ family of functions, dynamic debug, etc). ✗ Static analysis tools and fuzzing (sparse, smatch, coccinelle, coverity, trinity, syzkaller, syzbot, etc). ✗ User space debugging. ✗ This is also not a tutorial! We will talk about a lot of tools and techniches and have fun with some demos! Embedded Labworks DEBUGGING STEP-BY-STEP 1. Understand the problem. 2. Reproduce the problem. 3. Identify the source of the problem. 4. Fix the problem. 5. Fixed? If so, celebrate! If not, go back to step 1. Embedded Labworks TYPES OF PROBLEMS ✗ We can consider as the top 5 types of problems in software: ✗ Crash. ✗ Lockup. ✗ Logic/implementation error. ✗ Resource leak. ✗ Performance. -
Walking the Linux Kernel
Walking the Linux Kernel Stanislav Kozina Associate Manager April 2016 AGENDA Linux Kernel in general Debugging kernel issues without crash Prepare the system for crashing Crash it with systemtap See what we can get from the crash dump 2 Linux Kernel in general – boring ● Just software… ● Written in C & asm ● List of expected features ● Boot and initialization process ● Memory and process management ● Hardware abstraction ● Files, directories, sockets, … ● Resources abstraction ● CPU, memory, … ● POSIX 3 Linux Kernel in general – BUT! ● Quite big (20mil LOC) ● No libc (many other standards functions instead) ● Special environment ● Preemptive, shared memory space ● Early boot code is tricky ● No dynamic allocator, AP, scheduler, even locks! ● Special security requirements ● Kernel should not just die and/or leak anything 4 Linux Kernel in general – development system ● Open source ● List of maintainers in MAINTAINERS ● Patches posted via email ● Documentation/SubmittingPatches ● LKML ● Usually companies care about support of their stuff ● Hardware vendors… ● “We don't break userland” 5 DIGGING IN Observing kernel is not trivial ● Hard to get a consistent picture ● If we stop it, how we observe it? ● Using Vms? ● printk() ● Statistics, /proc, perf, strace, ftrace, ... 7 8 Debugging kernel issues ● Oops messages ● Message buffer, registers, stack/backtrace ● Oops leaves the system running, but unstable! ● Current task is killed ● Printk() ● Systemtap, ftrace ● crash ● Sysrq triggers 9 Kernel oops [[ 32.580355]32.580355] SysRqSysRq :: TriggerTrigger aa crashcrash [[ 32.581331]32.581331] BUG:BUG: unableunable toto handlehandle kernelkernel NULLNULL pointerpointer dereferencedereference atat [[ 32.582703]32.582703] IP:IP: [<ffffffff813b9716>][<ffffffff813b9716>] sysrq_handle_crash+0x16/0x20sysrq_handle_crash+0x16/0x20 [[ 32.583781]32.583781] PGDPGD 3b5030673b503067 PUDPUD 3b5020673b502067 PMDPMD 00 [[ 32.584609]32.584609] Oops:Oops: 00020002 [#1][#1] SMPSMP [[ 32.585210]32.585210] ModulesModules linkedlinked in:in: ip6t_rpfilterip6t_rpfilter (...(.. -
Red Hat Enterprise Linux for Real Time 7 Tuning Guide
Red Hat Enterprise Linux for Real Time 7 Tuning Guide Advanced tuning procedures for Red Hat Enterprise Linux for Real Time Radek Bíba David Ryan Cheryn Tan Lana Brindley Alison Young Red Hat Enterprise Linux for Real Time 7 Tuning Guide Advanced tuning procedures for Red Hat Enterprise Linux for Real Time Radek Bíba Red Hat Customer Content Services [email protected] David Ryan Red Hat Customer Content Services [email protected] Cheryn Tan Red Hat Customer Content Services Lana Brindley Red Hat Customer Content Services Alison Young Red Hat Customer Content Services Legal Notice Copyright © 2015 Red Hat, Inc. This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, JBoss, MetaMatrix, Fedora, the Infinity Logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. -
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation Youngmoon Lee∗, Hasan Al Maruf∗, Mosharaf Chowdhury∗, Asaf Cidonx, Kang G. Shin∗ University of Michigan∗ Columbia Universityx ABSTRACT State-of-the-art solutions take three primary approaches: (i) local We present the design and implementation of a low-latency, low- disk backup [36, 66], (ii) remote in-memory replication [31, 50], and overhead, and highly available resilient disaggregated cluster mem- (iii) remote in-memory erasure coding [61, 64, 70, 73] and compres- ory. Our proposed framework can access erasure-coded remote sion [45]. Unfortunately, they suffer from some combinations of memory within a single-digit `s read/write latency, significantly the following problems. improving the performance-efficiency tradeoff over the state-of- High latency: The first approach has no additional memory the-art – it performs similar to in-memory replication with 1.6× overhead, but the access latency is intolerably high in the presence lower memory overhead. We also propose a novel coding group of any of the aforementioned failure scenarios. The systems that placement algorithm for erasure-coded data, that provides load bal- take the third approach do not meet the single-digit `s latency ancing while reducing the probability of data loss under correlated requirement of disaggregated cluster memory even when paired failures by an order of magnitude. with RDMA (Figure 1). High cost: While the second approach has low latency, it dou- bles memory consumption as well as network bandwidth require- ments. The first and second approaches represent the two extreme 1 INTRODUCTION points in the performance-vs-efficiency tradeoff space for resilient To address the increasing memory pressure in datacenters, two cluster memory (Figure 1).