An Overview of the Squashfs Filesystem Phillip Lougher
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Study of File System Evolution
Study of File System Evolution Swaminathan Sundararaman, Sriram Subramanian Department of Computer Science University of Wisconsin {swami, srirams} @cs.wisc.edu Abstract File systems have traditionally been a major area of file systems are typically developed and maintained by research and development. This is evident from the several programmer across the globe. At any point in existence of over 50 file systems of varying popularity time, for a file system, there are three to six active in the current version of the Linux kernel. They developers, ten to fifteen patch contributors but a single represent a complex subsystem of the kernel, with each maintainer. These people communicate through file system employing different strategies for tackling individual file system mailing lists [14, 16, 18] various issues. Although there are many file systems in submitting proposals for new features, enhancements, Linux, there has been no prior work (to the best of our reporting bugs, submitting and reviewing patches for knowledge) on understanding how file systems evolve. known bugs. The problems with the open source We believe that such information would be useful to the development approach is that all communication is file system community allowing developers to learn buried in the mailing list archives and aren’t easily from previous experiences. accessible to others. As a result when new file systems are developed they do not leverage past experience and This paper looks at six file systems (Ext2, Ext3, Ext4, could end up re-inventing the wheel. To make things JFS, ReiserFS, and XFS) from a historical perspective worse, people could typically end up doing the same (between kernel versions 1.0 to 2.6) to get an insight on mistakes as done in other file systems. -
ECE 598 – Advanced Operating Systems Lecture 19
ECE 598 { Advanced Operating Systems Lecture 19 Vince Weaver http://web.eece.maine.edu/~vweaver [email protected] 7 April 2016 Announcements • Homework #7 was due • Homework #8 will be posted 1 Why use FAT over ext2? • FAT simpler, easy to code • FAT supported on all major OSes • ext2 faster, more robust filename and permissions 2 btrfs • B-tree fs (similar to a binary tree, but with pages full of leaves) • overwrite filesystem (overwite on modify) vs CoW • Copy on write. When write to a file, old data not overwritten. Since old data not over-written, crash recovery better Eventually old data garbage collected • Data in extents 3 • Copy-on-write • Forest of trees: { sub-volumes { extent-allocation { checksum tree { chunk device { reloc • On-line defragmentation • On-line volume growth 4 • Built-in RAID • Transparent compression • Snapshots • Checksums on data and meta-data • De-duplication • Cloning { can make an exact snapshot of file, copy-on- write different than link, different inodles but same blocks 5 Embedded • Designed to be small, simple, read-only? • romfs { 32 byte header (magic, size, checksum,name) { Repeating files (pointer to next [0 if none]), info, size, checksum, file name, file data • cramfs 6 ZFS Advanced OS from Sun/Oracle. Similar in idea to btrfs indirect still, not extent based? 7 ReFS Resilient FS, Microsoft's answer to brtfs and zfs 8 Networked File Systems • Allow a centralized file server to export a filesystem to multiple clients. • Provide file level access, not just raw blocks (NBD) • Clustered filesystems also exist, where multiple servers work in conjunction. -
Open Source Licensing Information for Cisco IP Phone 8800 Series
Open Source Used In Cisco IP Phone 8800 Series 12.1(1) Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-163803748 Open Source Used In Cisco IP Phone 8800 Series 12.1(1) 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-163803748 Contents 1.1 bluez 4.101 :MxC-1.1C R4.0 1.1.1 Available under license 1.2 BOOST C++ Library 1.63.0 1.2.1 Available under license 1.3 busybox 1.21.0 1.3.1 Available under license 1.4 Busybox 1.23.1 1.4.1 Available under license 1.5 cjose 0.4.1 1.5.1 Available under license 1.6 cppformat 2.0.0 1.6.1 Available under license 1.7 curl 7.26.0 1.7.1 Available under license 1.8 dbus 1.4.1 :MxC-1.1C R4.0 1.8.1 Available under license 1.9 DirectFB library and utilities 1.4.5 1.9.1 Available under license 1.10 dnsmasq 2.46 1.10.1 Available under license 1.11 flite 2.0.0 1.11.1 Available under license 1.12 glibc 2.13 1.12.1 Available under license 1.13 hostapd 2.0 :MxC-1.1C R4.0 1.13.1 Available under license Open Source Used -
De-Anonymizing Live Cds Through Physical Memory Analysis
De-Anonymizing Live CDs through Physical Memory Analysis Andrew Case [email protected] Digital Forensics Solutions Abstract Traditional digital forensics encompasses the examination of data from an offline or “dead” source such as a disk image. Since the filesystem is intact on these images, a number of forensics techniques are available for analysis such as file and metadata examination, timelining, deleted file recovery, indexing, and searching. Live CDs present a serious problem for this investigative model, however, since the OS and applications execute in a RAM-only environment and do not save data on non-volatile storage devices such as the local disk. In order to solve this problem, we present a number of techniques that support complete recovery of a live CD’s in-memory filesystem and partial recovery of its deleted contents. We also present memory analysis of the popular Tor application, since it is used by a number of live CDs in an attempt to keep network communications encrypted and anonymous. 1 Introduction Traditional digital forensics encompasses the examination of data from an offline or “dead” source such as a disk image. Under normal circumstances, evidence is obtained by first creating an exact, bit-for-bit copy of the target disk, followed by hashing of both the target disk and the new copy. If these hashes match then it is known that an exact copy has been made, and the hash is recorded to later prove that evidence was not modified during the investigation. Besides satisfying legal requirements, obtaining a bit-for-bit copy of data provides investigators with a wealth of information to examine and makes available a number of forensics techniques. -
Hardware-Driven Evolution in Storage Software by Zev Weiss A
Hardware-Driven Evolution in Storage Software by Zev Weiss A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Sciences) at the UNIVERSITY OF WISCONSIN–MADISON 2018 Date of final oral examination: June 8, 2018 ii The dissertation is approved by the following members of the Final Oral Committee: Andrea C. Arpaci-Dusseau, Professor, Computer Sciences Remzi H. Arpaci-Dusseau, Professor, Computer Sciences Michael M. Swift, Professor, Computer Sciences Karthikeyan Sankaralingam, Professor, Computer Sciences Johannes Wallmann, Associate Professor, Mead Witter School of Music i © Copyright by Zev Weiss 2018 All Rights Reserved ii To my parents, for their endless support, and my cousin Charlie, one of the kindest people I’ve ever known. iii Acknowledgments I have taken what might be politely called a “scenic route” of sorts through grad school. While Ph.D. students more focused on a rapid graduation turnaround time might find this regrettable, I am glad to have done so, in part because it has afforded me the opportunities to meet and work with so many excellent people along the way. I owe debts of gratitude to a large cast of characters: To my advisors, Andrea and Remzi Arpaci-Dusseau. It is one of the most common pieces of wisdom imparted on incoming grad students that one’s relationship with one’s advisor (or advisors) is perhaps the single most important factor in whether these years of your life will be pleasant or unpleasant, and I feel exceptionally fortunate to have ended up iv with the advisors that I’ve had. -
Elinos Product Overview
SYSGO Product Overview ELinOS 7 Industrial Grade Linux ELinOS is a SYSGO Linux distribution to help developers save time and effort by focusing on their application. Our Industrial Grade Linux with user-friendly IDE goes along with the best selection of software packages to meet our cog linux Qt LOCK customers needs, and with the comfort of world-class technical support. ELinOS now includes Docker support Feature LTS Qt Open SSH Configurator Kernel embedded Open VPN in order to isolate applications running on the same system. laptop Q Bug Shield-Virus Docker Eclipse-based QEMU-based Application Integrated Docker IDE HW Emulators Debugging Firewall Support ELINOS FEATURES MANAGING EMBEDDED LINUX VERSATILITY • Industrial Grade Creating an Embedded Linux based system is like solving a puzzle and putting • Eclipse-based IDE for embedded the right pieces together. This requires a deep knowledge of Linux’s versatility Systems (CODEO) and takes time for the selection of components, development of Board Support • Multiple Linux kernel versions Packages and drivers, and testing of the whole system – not only for newcomers. incl. Kernel 4.19 LTS with real-time enhancements With ELinOS, SYSGO offers an ‘out-of-the-box’ experience which allows to focus • Quick and easy target on the development of competitive applications itself. ELinOS incorporates the system configuration appropriate tools, such as a feature configurator to help you build the system and • Hardware Emulation (QEMU) boost your project success, including a graphical configuration front-end with a • Extensive file system support built-in integrity validation. • Application debugging • Target analysis APPLICATION & CONFIGURATION ENVIRONMENT • Runs out-of-the-box on PikeOS • Validated and tested for In addition to standard tools, remote debugging, target system monitoring and PowerPC, x86, ARM timing behaviour analyses are essential for application development. -
Enterprise Filesystems
Enterprise Filesystems Eric Sandeen Principal Software Engineer, Red Hat Feb 21, 2013 1 ERIC SANDEEN What We'll Cover ● Local “Enterprise-ready” Linux filesystems ● Ext3 ● Ext4 ● XFS ● BTRFS ● Use cases, features, pros & cons of each ● Recent & future work ● Features ● Scalability ● Benchmarks 2 ERIC SANDEEN Local Filesystems in RHEL6 ● We ship what customers need and can rely on ● We ship what we test and support ● Major on-disk local filesystems ● Ext3, Ext4, XFS, BTRFS* ● Others are available for special purposes ● fat, vfat, msdos, udf, cramfs, squashfs... ● We'll cover the “big four” today 3 ERIC SANDEEN The Ext3 filesystem ● Ext3 is was the most common file system in Linux ● Most distributions historically used it as their default ● Applications tuned to its specific behaviors (fsync...) ● Familiar to most system administrators ● Ext3 challenges ● File system repair (fsck) time can be extremely long ● Limited scalability - maximum file system size of 16TB ● Can be significantly slower than other local file systems ● direct/indirect, bitmaps, no delalloc ... 4 ERIC SANDEEN The Ext4 filesystem ● Ext4 has many compelling new features ● Extent based allocation ● Faster fsck time (up to 10x over ext3) ● Delayed allocation, preallocation ● Higher bandwidth ● Should be relatively familiar for existing ext3 users ● Ext4 challenges ● Large device support not polished in its user space tools ● Limits supported maximum file system size to 16TB* ● Has different behavior over system failure 5 ERIC SANDEEN The XFS filesystem ● XFS is very robust -
Unionfs: User- and Community-Oriented Development of a Unification File System
Unionfs: User- and Community-Oriented Development of a Unification File System David Quigley, Josef Sipek, Charles P. Wright, and Erez Zadok Stony Brook University {dquigley,jsipek,cwright,ezk}@cs.sunysb.edu Abstract If a file exists in multiple branches, the user sees only the copy in the higher-priority branch. Unionfs allows some branches to be read-only, Unionfs is a stackable file system that virtually but as long as the highest-priority branch is merges a set of directories (called branches) read-write, Unionfs uses copy-on-write seman- into a single logical view. Each branch is as- tics to provide an illusion that all branches are signed a priority and may be either read-only writable. This feature allows Live-CD develop- or read-write. When the highest priority branch ers to give their users a writable system based is writable, Unionfs provides copy-on-write se- on read-only media. mantics for read-only branches. These copy- on-write semantics have lead to widespread There are many uses for namespace unifica- use of Unionfs by LiveCD projects including tion. The two most common uses are Live- Knoppix and SLAX. In this paper we describe CDs and diskless/NFS-root clients. On Live- our experiences distributing and maintaining CDs, by definition, the data is stored on a read- an out-of-kernel module since November 2004. only medium. However, it is very convenient As of March 2006 Unionfs has been down- for users to be able to modify the data. Uni- loaded by over 6,700 unique users and is used fying the read-only CD with a writable RAM by over two dozen other projects. -
CIS Ubuntu Linux 18.04 LTS Benchmark
CIS Ubuntu Linux 18.04 LTS Benchmark v1.0.0 - 08-13-2018 Terms of Use Please see the below link for our current terms of use: https://www.cisecurity.org/cis-securesuite/cis-securesuite-membership-terms-of-use/ 1 | P a g e Table of Contents Terms of Use ........................................................................................................................................................... 1 Overview ............................................................................................................................................................... 12 Intended Audience ........................................................................................................................................ 12 Consensus Guidance ..................................................................................................................................... 13 Typographical Conventions ...................................................................................................................... 14 Scoring Information ..................................................................................................................................... 14 Profile Definitions ......................................................................................................................................... 15 Acknowledgements ...................................................................................................................................... 17 Recommendations ............................................................................................................................................ -
Scibian 9 HPC Installation Guide
Scibian 9 HPC Installation guide CCN-HPC Version 1.9, 2018-08-20 Table of Contents About this document . 1 Purpose . 2 Structure . 3 Typographic conventions . 4 Build dependencies . 5 License . 6 Authors . 7 Reference architecture. 8 1. Hardware architecture . 9 1.1. Networks . 9 1.2. Infrastructure cluster. 10 1.3. User-space cluster . 12 1.4. Storage system . 12 2. External services . 13 2.1. Base services. 13 2.2. Optional services . 14 3. Software architecture . 15 3.1. Overview . 15 3.2. Base Services . 16 3.3. Additional Services. 19 3.4. High-Availability . 20 4. Conventions . 23 5. Advanced Topics . 24 5.1. Boot sequence . 24 5.2. iPXE Bootmenu Generator. 28 5.3. Debian Installer Preseed Generator. 30 5.4. Frontend nodes: SSH load-balancing and high-availability . 31 5.5. Service nodes: DNS load-balancing and high-availability . 34 5.6. Consul and DNS integration. 35 5.7. Scibian diskless initrd . 37 Installation procedure. 39 6. Overview. 40 7. Requirements . 41 8. Temporary installation node . 44 8.1. Base installation . 44 8.2. Administration environment . 44 9. Internal configuration repository . 46 9.1. Base directories . 46 9.2. Organization settings . 46 9.3. Cluster directories . 48 9.4. Puppet configuration . 48 9.5. Cluster definition. 49 9.6. Service role . 55 9.7. Authentication and encryption keys . 56 10. Generic service nodes . 62 10.1. Temporary installation services . 62 10.2. First Run. 62 10.3. Second Run . 64 10.4. Base system installation. 64 10.5. Ceph deployment . 66 10.6. Consul deployment. -
Proceedings of the Linux Symposium Volume
Proceedings of the Linux Symposium Volume Two July 19th–22nd, 2006 Ottawa, Ontario Canada Contents Evolution in Kernel Debugging using Hardware Virtualization With Xen 1 Nitin A. Kamble Improving Linux Startup Time Using Software Resume (and other techniques) 17 Hiroki Kaminaga Automated Regression Hunting 27 A. Bowen, P. Fox, J. Kenefick, A. Romney, J. Ruesch, J. Wilde, & J. Wilson Hacking the Linux Automounter—Current Limitations and Future Directions 37 Ian Maxwell Kent & Jeff Moyer Why NFS Sucks 51 Olaf Kirch Efficient Use of the Page Cache with 64 KB Pages 65 Dave Kleikamp and Badari Pulavarty Startup Time in the 21st Century: Filesystem Hacks and Assorted Tweaks 71 Benjamin C.R. LaHaise Using Hugetlbfs for Mapping Application Text Regions 75 H.J. Lu, K. Doshi, R. Seth, & J. Tran Towards a Better SCM: Revlog and Mercurial 83 Matt Mackall Roadmap to a GL-based composited desktop for Linux 91 K.E. Martin and K. Packard Probing the Guts of Kprobes 101 A. Mavinakayanahalli, P. Panchamukhi, J. Keniston, A. Keshavamurthy, & M. Hiramatsu Shared Page Tables Redux 117 Dave McCracken Extending RCU for Realtime and Embedded Workloads 123 Paul E. McKenney OSTRA: Experiments With on-the-fly Source Patching 139 Arnaldo Carvalho de Melo Design and Implementation to Support Multiple Key Exchange Protocols for IPsec 143 K. Miyazawa, S. Sakane, K. Kamada, M. Kanda, & A. Fukumoto The State of Linux Power Management 2006 151 Patrick Mochel I/O Workload Fingerprinting in the Genetic-Library 165 Jake Moilanen X86-64 XenLinux: Architecture, Implementation, and Optimizations 173 Jun Nakajima, Asit Mallick GCC—An Architectural Overview, Current Status, and Future Directions 185 Diego Novillo Shared-Subtree Concept, Implementation, and Applications in Linux 201 Al Viro & Ram Pai The Ondemand Governor 215 Venkatesh Pallipadi & Alexey Starikovskiy Linux Bootup Time Reduction for Digital Still Camera 231 Chan-Ju Park A Lockless Pagecache in Linux—Introduction, Progress, Performance 241 Nick Piggin The Ongoing Evolution of Xen 255 I. -
Key-Based Self-Driven Compression in Columnar Binary JSON
Otto von Guericke University of Magdeburg Department of Computer Science Master's Thesis Key-Based Self-Driven Compression in Columnar Binary JSON Author: Oskar Kirmis November 4, 2019 Advisors: Prof. Dr. rer. nat. habil. Gunter Saake M. Sc. Marcus Pinnecke Institute for Technical and Business Information Systems / Database Research Group Kirmis, Oskar: Key-Based Self-Driven Compression in Columnar Binary JSON Master's Thesis, Otto von Guericke University of Magdeburg, 2019 Abstract A large part of the data that is available today in organizations or publicly is provided in semi-structured form. To perform analytical tasks on these { mostly read-only { semi-structured datasets, Carbon archives were developed as a column-oriented storage format. Its main focus is to allow cache-efficient access to fields across records. As many semi-structured datasets mainly consist of string data and the denormalization introduces redundancy, a lot of storage space is required. However, in Carbon archives { besides a deduplication of strings { there is currently no compression implemented. The goal of this thesis is to discuss, implement and evaluate suitable compression tech- niques to reduce the amount of storage required and to speed up analytical queries on Carbon archives. Therefore, a compressor is implemented that can be configured to apply a combination of up to three different compression algorithms to the string data of Carbon archives. This compressor can be applied with a different configuration per column (per JSON object key). To find suitable combinations of compression algo- rithms for each column, one manual and two self-driven approaches are implemented and evaluated. On a set of ten publicly available semi-structured datasets of different kinds and sizes, the string data can be compressed down to about 53% on average, reducing the whole datasets' size by 20%.