Adaptive Android Kernel Live Patching
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Red Hat Enterprise Linux 7 7.1 Release Notes
Red Hat Enterprise Linux 7 7.1 Release Notes Release Notes for Red Hat Enterprise Linux 7 Red Hat Customer Content Services Red Hat Enterprise Linux 7 7.1 Release Notes Release Notes for Red Hat Enterprise Linux 7 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. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. Node.js ® is an official trademark of Joyent. Red Hat Software Collections is not formally related to or endorsed by the official Joyent Node.js open source or commercial project. -
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure Xiantao Zhang Xiao Zheng Zhi Wang Alibaba Group Alibaba Group Florida State University [email protected] [email protected] [email protected] Qi Li Junkang Fu Yang Zhang Tsinghua University Alibaba Group Alibaba Group [email protected] [email protected] [email protected] Yibin Shen Alibaba Group [email protected] Abstract hand over passthrough devices to the new KVM instance High availability is the most important and challenging prob- without losing any ongoing (DMA) operations. Our evalua- lem for cloud providers. However, virtual machine mon- tion shows that Orthus can reduce the total migration time itor (VMM), a crucial component of the cloud infrastruc- and downtime by more than 99% and 90%, respectively. We ture, has to be frequently updated and restarted to add secu- have deployed Orthus in one of the largest cloud infrastruc- rity patches and new features, undermining high availabil- tures for a long time. It has become the most effective and ity. There are two existing live update methods to improve indispensable tool in our daily maintenance of hundreds of the cloud availability: kernel live patching and Virtual Ma- thousands of servers and millions of VMs. chine (VM) live migration. However, they both have serious CCS Concepts • Security and privacy → Virtualization drawbacks that impair their usefulness in the large cloud and security; • Computer systems organization → Avail- infrastructure: kernel live patching cannot handle complex ability. changes (e.g., changes to persistent data structures); and VM live migration may incur unacceptably long delays when Keywords virtualization; live upgrade; cloud infrastructure migrating millions of VMs in the whole cloud, for example, ACM Reference Format: to deploy urgent security patches. -
Demarinis Kent Williams-King Di Jin Rodrigo Fonseca Vasileios P
sysfilter: Automated System Call Filtering for Commodity Software Nicholas DeMarinis Kent Williams-King Di Jin Rodrigo Fonseca Vasileios P. Kemerlis Department of Computer Science Brown University Abstract This constant stream of additional functionality integrated Modern OSes provide a rich set of services to applications, into modern applications, i.e., feature creep, not only has primarily accessible via the system call API, to support the dire effects in terms of security and protection [1, 71], but ever growing functionality of contemporary software. How- also necessitates a rich set of OS services: applications need ever, despite the fact that applications require access to part of to interact with the OS kernel—and, primarily, they do so the system call API (to function properly), OS kernels allow via the system call (syscall) API [52]—in order to perform full and unrestricted use of the entire system call set. This not useful tasks, such as acquiring or releasing memory, spawning only violates the principle of least privilege, but also enables and terminating additional processes and execution threads, attackers to utilize extra OS services, after seizing control communicating with other programs on the same or remote of vulnerable applications, or escalate privileges further via hosts, interacting with the filesystem, and performing I/O and exploiting vulnerabilities in less-stressed kernel interfaces. process introspection. To tackle this problem, we present sysfilter: a binary Indicatively, at the time of writing, the Linux -
Live Kernel Patching Using Kgraft
SUSE Linux Enterprise Server 12 SP4 Live Kernel Patching Using kGraft SUSE Linux Enterprise Server 12 SP4 This document describes the basic principles of the kGraft live patching technology and provides usage guidelines for the SLE Live Patching service. kGraft is a live patching technology for runtime patching of the Linux kernel, without stopping the kernel. This maximizes system uptime, and thus system availability, which is important for mission-critical systems. By allowing dynamic patching of the kernel, the technology also encourages users to install critical security updates without deferring them to a scheduled downtime. A kGraft patch is a kernel module, intended for replacing whole functions in the kernel. kGraft primarily oers in-kernel infrastructure for integration of the patched code with base kernel code at runtime. SLE Live Patching is a service provided on top of regular SUSE Linux Enterprise Server maintenance. kGraft patches distributed through SLE Live Patching supplement regular SLES maintenance updates. Common update stack and procedures can be used for SLE Live Patching deployment. Publication Date: 09/24/2021 Contents 1 Advantages of kGraft 3 2 Low-level Function of kGraft 3 1 Live Kernel Patching Using kGraft 3 Installing kGraft Patches 4 4 Patch Lifecycle 6 5 Removing a kGraft Patch 6 6 Stuck Kernel Execution Threads 6 7 The kgr Tool 7 8 Scope of kGraft Technology 7 9 Scope of SLE Live Patching 8 10 Interaction with the Support Processes 8 11 GNU Free Documentation License 8 2 Live Kernel Patching Using kGraft 1 Advantages of kGraft Live kernel patching using kGraft is especially useful for quick response in emergencies (when serious vulnerabilities are known and should be xed when possible or there are serious system stability issues with a known x). -
Thread Evolution Kit for Optimizing Thread Operations on CE/Iot Devices
Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices Geunsik Lim , Student Member, IEEE, Donghyun Kang , and Young Ik Eom Abstract—Most modern operating systems have adopted the the threads running on CE/IoT devices often unintentionally one-to-one thread model to support fast execution of threads spend a significant amount of time in taking the CPU resource in both multi-core and single-core systems. This thread model, and the frequency of context switch rapidly increases due to which maps the kernel-space and user-space threads in a one- to-one manner, supports quick thread creation and termination the limited system resources, degrading the performance of in high-performance server environments. However, the perfor- the system significantly. In addition, since CE/IoT devices mance of time-critical threads is degraded when multiple threads usually have limited memory space, they may suffer from the are being run in low-end CE devices with limited system re- segmentation fault [16] problem incurred by memory shortages sources. When a CE device runs many threads to support diverse as the number of threads increases and they remain running application functionalities, low-level hardware specifications often lead to significant resource contention among the threads trying for a long time. to obtain system resources. As a result, the operating system Some engineers have attempted to address the challenges encounters challenges, such as excessive thread context switching of IoT environments such as smart homes by using better overhead, execution delay of time-critical threads, and a lack of hardware specifications for CE/IoT devices [3], [17]–[21]. -
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. -
SUSE Linux Enterprise Server 12 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 12 SP4
SUSE Linux Enterprise Server 12 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 12 SP4 An administrator's guide for problem detection, resolution and optimization. Find how to inspect and optimize your system by means of monitoring tools and how to eciently manage resources. Also contains an overview of common problems and solutions and of additional help and documentation resources. Publication Date: September 24, 2021 SUSE LLC 1800 South Novell Place Provo, UT 84606 USA https://documentation.suse.com Copyright © 2006– 2021 SUSE LLC and contributors. All rights reserved. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or (at your option) version 1.3; with the Invariant Section being this copyright notice and license. A copy of the license version 1.2 is included in the section entitled “GNU Free Documentation License”. For SUSE trademarks, see https://www.suse.com/company/legal/ . All other third-party trademarks are the property of their respective owners. Trademark symbols (®, ™ etc.) denote trademarks of SUSE and its aliates. Asterisks (*) denote third-party trademarks. All information found in this book has been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. Neither SUSE LLC, its aliates, the authors nor the translators shall be held liable for possible errors or the consequences thereof. Contents About This Guide xii 1 Available Documentation xiii -
Think ALL Distros Offer the Best Linux Devsecops Environment?
Marc Staimer, Dragon Slayor Consulting WHITE PAPER Think All Distros Offer the Best Linux DevSecOps What You’re Not Being Told About Environment? Database as a Service (DBaaS) Think Again! WHITE PAPER • Think Again! Think All Distros Provide the Best Linux DevSecOps Environment? Think Again! Introduction DevOps is changing. Developing code with after the fact bolt-on security is dangerously flawed. When that bolt-on fails to correct exploitable code vulnerabilities, it puts the entire organization at risk. Security has been generally an afterthought for many doing DevOps. It was often assumed the IT organization’s systemic multiple layers of security measures and appliances would protect any new code from malware or breaches. And besides, developing code with security built in, adds tasks and steps to development and testing time. More tasks and steps delay time-to-market. Multi-tenant clouds have radically changed the market. Any vulnerability in a world with increasing cyber-attacks, can put millions of user’s data at risk. Those legacy DevOps attitudes are unsound. They are potentially quite costly in the current environment. Consider that nearly every developed and most developing countries have enacted laws and regulation protecting personally identifiable information or PII1. PII is incredibly valuable to cybercriminals. Stealing PII enables them to commit many cybercrimes including the cybertheft of identities, finances, intellectual property, admin privileges, and much more. PII can also be sold on the web. Those PII laws and regulations are meant to force IT organizations to protect PII. Non-compliance of these laws and regulations often carry punitive financial penalties. -
Greg Kroah-Hartman [email protected] Github.Com/Gregkh/Presentation-Kdbus
kdbus IPC for the modern world Greg Kroah-Hartman [email protected] github.com/gregkh/presentation-kdbus Interprocess Communication ● signal ● synchronization ● communication standard signals realtime The Linux Programming Interface, Michael Kerrisk, page 878 POSIX semaphore futex synchronization named eventfd unnamed semaphore System V semaphore “record” lock file lock file lock mutex threads condition variables barrier read/write lock The Linux Programming Interface, Michael Kerrisk, page 878 data transfer pipe communication FIFO stream socket pseudoterminal POSIX message queue message System V message queue memory mapping System V shared memory POSIX shared memory shared memory memory mapping Anonymous mapping mapped file The Linux Programming Interface, Michael Kerrisk, page 878 Android ● ashmem ● pmem ● binder ashmem ● POSIX shared memory for the lazy ● Uses virtual memory ● Can discard segments under pressure ● Unknown future pmem ● shares memory between kernel and user ● uses physically contigous memory ● GPUs ● Unknown future binder ● IPC bus for Android system ● Like D-Bus, but “different” ● Came from system without SysV types ● Works on object / message level ● Needs large userspace library ● NEVER use outside an Android system binder ● File descriptor passing ● Used for Intents and application separation ● Good for small messages ● Not for streams of data ● NEVER use outside an Android system QNX message passing ● Tight coupling to microkernel ● Send message and control, to another process ● Used to build complex messages -
Fast and Live Hypervisor Replacement
Fast and Live Hypervisor Replacement Spoorti Doddamani Piush Sinha Hui Lu Binghamton University Binghamton University Binghamton University New York, USA New York, USA New York, USA [email protected] [email protected] [email protected] Tsu-Hsiang K. Cheng Hardik H. Bagdi Kartik Gopalan Binghamton University Binghamton University Binghamton University New York, USA New York, USA New York, USA [email protected] [email protected] [email protected] Abstract International Conference on Virtual Execution Environments (VEE Hypervisors are increasingly complex and must be often ’19), April 14, 2019, Providence, RI, USA. ACM, New York, NY, USA, updated for applying security patches, bug fixes, and feature 14 pages. https://doi.org/10.1145/3313808.3313821 upgrades. However, in a virtualized cloud infrastructure, up- 1 Introduction dates to an operational hypervisor can be highly disruptive. Before being updated, virtual machines (VMs) running on Virtualization-based server consolidation is a common prac- a hypervisor must be either migrated away or shut down, tice in today’s cloud data centers [2, 24, 43]. Hypervisors host resulting in downtime, performance loss, and network over- multiple virtual machines (VMs), or guests, on a single phys- head. We present a new technique, called HyperFresh, to ical host to improve resource utilization and achieve agility transparently replace a hypervisor with a new updated in- in resource provisioning for cloud applications [3, 5–7, 50]. stance without disrupting any running VMs. A thin shim Hypervisors must be often updated or replaced for various layer, called the hyperplexor, performs live hypervisor re- purposes, such as for applying security/bug fixes [23, 41] placement by remapping guest memory to a new updated adding new features [15, 25], or simply for software reju- hypervisor on the same machine. -
(12) United States Patent (10) Patent No.: US 8,124,082 B2 Fong Et Al
USOO8124082B2 (12) United States Patent (10) Patent No.: US 8,124,082 B2 Fong et al. (45) Date of Patent: Feb. 28, 2012 (54) HUMANIZED ANTI-BETA7 ANTAGONISTS 3.68 A 13 3. SEetC ren al. et al.1 AND USES THEREFOR 5,624,821 A 4/1997 Winter et al. 5,648,260 A 7, 1997 Winter et al. (75) Inventors: Sherman Fong, Alameda, CA (US); 5,658,727 A 8, 1997 Barbas et al. Mark S. Dennis, San Carlos, CA (US) 5,693,762 A 12/1997 Queen et al. 5,712.374. A 1/1998 Kuntsmann et al. 5,714,586 A 2, 1998 Kunstmann et al. (73) Assignee: Genentech, Inc., South San Francisco, 5,731, 168 A 3, 1998 Carter et al. CA (US) 5,733,743 A 3/1998 Johnson et al. 5,739,116 A 4, 1998 Hamann et al. (*) Notice: Subject to any disclaimer, the term of this 5,750,373 A 5/1998 Garrard et al. patent is extended or adjusted under 35 5,767.285 A 6/1998 Hamann et al. U.S.C. 154(b) by 119 days 5,770,701 A 6/1998 McGahren et al. M YW- y yS. 5,770,710 A 6/1998 McGahren et al. 5,773,001 A 6/1998 Hamann et al. (21) Appl. No.: 12/390,730 5,837.242 A 1 1/1998 Holliger et al. 5,877,296 A 3, 1999 Hamann et al. (22) Filed: Feb. 23, 2009 5,969,108 A 10/1999 McCafferty et al. 9 6,172,197 B1 1/2001 McCafferty et al. -
Instant OS Updates Via Userspace Checkpoint-And
Instant OS Updates via Userspace Checkpoint-and-Restart Sanidhya Kashyap, Changwoo Min, Byoungyoung Lee, and Taesoo Kim, Georgia Institute of Technology; Pavel Emelyanov, CRIU and Odin, Inc. https://www.usenix.org/conference/atc16/technical-sessions/presentation/kashyap 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. Instant OS Updates via Userspace Checkpoint-and-Restart Sanidhya Kashyap Changwoo Min Byoungyoung Lee Taesoo Kim Pavel Emelyanov† Georgia Institute of Technology †CRIU & Odin, Inc. # errors # lines Abstract 50 1000K 40 100K In recent years, operating systems have become increas- 10K 30 1K 20 ingly complex and thus more prone to security and per- 100 formance issues. Accordingly, system updates to address 10 10 these issues have become more frequently available and 0 1 increasingly important. To complete such updates, users 3.13.0-x 3.16.0-x 3.19.0-x May 2014 must reboot their systems, resulting in unavoidable down- build/diff errors #layout errors Jun 2015 time and further loss of the states of running applications. #static local errors #num lines++ We present KUP, a practical OS update mechanism that Figure 1: Limitation of dynamic kernel hot-patching using employs a userspace checkpoint-and-restart mechanism, kpatch. Only two successful updates (3.13.0.32 34 and → which uses an optimized data structure for checkpoint- 3.19.0.20 21) out of 23 Ubuntu kernel package releases.