NILFS2: Review and Challenges
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Oracle's Zero Data Loss Recovery Appliance
GmbH Enterprise Servers, Storage and Business Continuity White Paper Oracle’s Zero Data Loss Recovery Appliance – and Comparison with EMC Data Domain Josh Krischer December 2015 _____________________________________________________________________________ 2015 © Josh Krischer & Associates GmbH. All rights reserved. Reproduction of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Josh Krischer & Associates GmbH disclaims all warranties as to the accuracy, completeness or adequacy of such information. Josh Krischer & Associates GmbH shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. All product names used and mentioned d herein are the trademarks of their respective owners. GmbH Enterprise Servers, Storage and Business Continuity Contents Executive Summary ...................................................................................................................... 3 Oracle’s Zero Data Loss Recovery Appliance ............................................................................... 4 Oracle’s Zero Data Loss Recovery Appliance – Principles of Operation ....................................... 5 Oracle’s Maximum Availability Architecture (MAA) ...................................................................... -
CERIAS Tech Report 2017-5 Deceptive Memory Systems by Christopher N
CERIAS Tech Report 2017-5 Deceptive Memory Systems by Christopher N. Gutierrez Center for Education and Research Information Assurance and Security Purdue University, West Lafayette, IN 47907-2086 DECEPTIVE MEMORY SYSTEMS ADissertation Submitted to the Faculty of Purdue University by Christopher N. Gutierrez In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2017 Purdue University West Lafayette, Indiana ii THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL Dr. Eugene H. Spa↵ord, Co-Chair Department of Computer Science Dr. Saurabh Bagchi, Co-Chair Department of Computer Science Dr. Dongyan Xu Department of Computer Science Dr. Mathias Payer Department of Computer Science Approved by: Dr. Voicu Popescu by Dr. William J. Gorman Head of the Graduate Program iii This work is dedicated to my wife, Gina. Thank you for all of your love and support. The moon awaits us. iv ACKNOWLEDGMENTS Iwould liketothank ProfessorsEugeneSpa↵ord and SaurabhBagchi for their guidance, support, and advice throughout my time at Purdue. Both have been instru mental in my development as a computer scientist, and I am forever grateful. I would also like to thank the Center for Education and Research in Information Assurance and Security (CERIAS) for fostering a multidisciplinary security culture in which I had the privilege to be part of. Special thanks to Adam Hammer and Ronald Cas tongia for their technical support and Thomas Yurek for his programming assistance for the experimental evaluation. I am grateful for the valuable feedback provided by the members of my thesis committee, Professor Dongyen Xu, and Professor Math ias Payer. -
Ext4 File System and Crash Consistency
1 Ext4 file system and crash consistency Changwoo Min 2 Summary of last lectures • Tools: building, exploring, and debugging Linux kernel • Core kernel infrastructure • Process management & scheduling • Interrupt & interrupt handler • Kernel synchronization • Memory management • Virtual file system • Page cache and page fault 3 Today: ext4 file system and crash consistency • File system in Linux kernel • Design considerations of a file system • History of file system • On-disk structure of Ext4 • File operations • Crash consistency 4 File system in Linux kernel User space application (ex: cp) User-space Syscalls: open, read, write, etc. Kernel-space VFS: Virtual File System Filesystems ext4 FAT32 JFFS2 Block layer Hardware Embedded Hard disk USB drive flash 5 What is a file system fundamentally? int main(int argc, char *argv[]) { int fd; char buffer[4096]; struct stat_buf; DIR *dir; struct dirent *entry; /* 1. Path name -> inode mapping */ fd = open("/home/lkp/hello.c" , O_RDONLY); /* 2. File offset -> disk block address mapping */ pread(fd, buffer, sizeof(buffer), 0); /* 3. File meta data operation */ fstat(fd, &stat_buf); printf("file size = %d\n", stat_buf.st_size); /* 4. Directory operation */ dir = opendir("/home"); entry = readdir(dir); printf("dir = %s\n", entry->d_name); return 0; } 6 Why do we care EXT4 file system? • Most widely-deployed file system • Default file system of major Linux distributions • File system used in Google data center • Default file system of Android kernel • Follows the traditional file system design 7 History of file system design 8 UFS (Unix File System) • The original UNIX file system • Design by Dennis Ritche and Ken Thompson (1974) • The first Linux file system (ext) and Minix FS has a similar layout 9 UFS (Unix File System) • Performance problem of UFS (and the first Linux file system) • Especially, long seek time between an inode and data block 10 FFS (Fast File System) • The file system of BSD UNIX • Designed by Marshall Kirk McKusick, et al. -
CS 152: Computer Systems Architecture Storage Technologies
CS 152: Computer Systems Architecture Storage Technologies Sang-Woo Jun Winter 2019 Storage Used To be a Secondary Concern Typically, storage was not a first order citizen of a computer system o As alluded to by its name “secondary storage” o Its job was to load programs and data to memory, and disappear o Most applications only worked with CPU and system memory (DRAM) o Extreme applications like DBMSs were the exception Because conventional secondary storage was very slow o Things are changing! Some (Pre)History Magnetic core memory Rope memory (ROM) 1960’s Drum memory 1950~1970s 72 KiB per cubic foot! 100s of KiB (1024 bits in photo) Hand-woven to program the 1950’s Apollo guidance computer Photos from Wikipedia Some (More Recent) History Floppy disk drives 1970’s~2000’s 100 KiBs to 1.44 MiB Hard disk drives 1950’s to present MBs to TBs Photos from Wikipedia Some (Current) History Solid State Drives Non-Volatile Memory 2000’s to present 2010’s to present GB to TBs GBs Hard Disk Drives Dominant storage medium for the longest time o Still the largest capacity share Data organized into multiple magnetic platters o Mechanical head needs to move to where data is, to read it o Good sequential access, terrible random access • 100s of MB/s sequential, maybe 1 MB/s 4 KB random o Time for the head to move to the right location (“seek time”) may be ms long • 1000,000s of cycles! Typically “ATA” (Including IDE and EIDE), and later “SATA” interfaces o Connected via “South bridge” chipset Ding Yuan, “Operating Systems ECE344 Lecture 11: File -
Legality and Ethics of Web Scraping
Murray State's Digital Commons Faculty & Staff Research and Creative Activity 12-15-2020 Tutorial: Legality and Ethics of Web Scraping Vlad Krotov Leigh Johnson Murray State University Leiser Silva University of Houston Follow this and additional works at: https://digitalcommons.murraystate.edu/faculty Recommended Citation Krotov, V., Johnson, L., & Silva, L. (2020). Tutorial: Legality and Ethics of Web Scraping. Communications of the Association for Information Systems, 47, pp-pp. https://doi.org/10.17705/1CAIS.04724 This Peer Reviewed/Refereed Publication is brought to you for free and open access by Murray State's Digital Commons. It has been accepted for inclusion in Faculty & Staff Research and Creative Activity by an authorized administrator of Murray State's Digital Commons. For more information, please contact [email protected]. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/343555462 Legality and Ethics of Web Scraping, Communications of the Association for Information Systems (forthcoming) Article in Communications of the Association for Information Systems · August 2020 CITATIONS READS 0 388 3 authors, including: Vlad Krotov Murray State University 42 PUBLICATIONS 374 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Addressing barriers to big data View project Web Scraping Framework: An Integrated Approach to Retrieving Big Qualitative Data from the Web View project All content following this -
Next Generation Disaster Data Infrastructure
Next Generation Disaster Data Infrastructure A study report of the CODATA Task Group on Linked Open Data for Global Disaster Risk Research Supported by Study Panel Lead Authors in alphabetical order Bapon Fakhruddin, Tonkin & Taylor International, New Zealand Edward Chu, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Guoqing Li, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Contributing Authors in alphabetical order Amit Paul, BNA Technology Consulting LTD., India David Wyllie, Tonkin & Taylor International, New Zealand Durga Ragupathy, Tonkin & Taylor International, New Zealand Jibo Xie, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Kun-Lin Lu, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Kunal Sharma, National Disaster Management Authority, India I-Ching Chen, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Nuha Eltinay, Arab Urban Development Institute, Kingdom of Saudi Arabia Saurabh Dalal, National Disaster Management Authority, India Raj Prasanna, Joint Centre for Disaster Research, Massey University Richard Reinen-Hamill, Tonkin & Taylor International, New Zealand Tengfei Yang, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Vimikthi Jayawardene, The University of Queensland, Australia Acknowledgments This work is supported by the Committee on Data for Science and Technology (CODATA) of International Science Council (ISC), Integrated Research on Disaster Risk (IRDR); National Key R&D Program of China (2016YFE0122600) and Tonkin & Taylor International Ltd, New Zealand. LODGD (2019), Next Generation Disaster Data Infrastructure -White Paper. CODATA Task Group, Linked Open Data for Global Disaster Risk Research (LODGD). -
Filesystem Considerations for Embedded Devices ELC2015 03/25/15
Filesystem considerations for embedded devices ELC2015 03/25/15 Tristan Lelong Senior embedded software engineer Filesystem considerations ABSTRACT The goal of this presentation is to answer a question asked by several customers: which filesystem should you use within your embedded design’s eMMC/SDCard? These storage devices use a standard block interface, compatible with traditional filesystems, but constraints are not those of desktop PC environments. EXT2/3/4, BTRFS, F2FS are the first of many solutions which come to mind, but how do they all compare? Typical queries include performance, longevity, tools availability, support, and power loss robustness. This presentation will not dive into implementation details but will instead summarize provided answers with the help of various figures and meaningful test results. 2 TABLE OF CONTENTS 1. Introduction 2. Block devices 3. Available filesystems 4. Performances 5. Tools 6. Reliability 7. Conclusion Filesystem considerations ABOUT THE AUTHOR • Tristan Lelong • Embedded software engineer @ Adeneo Embedded • French, living in the Pacific northwest • Embedded software, free software, and Linux kernel enthusiast. 4 Introduction Filesystem considerations Introduction INTRODUCTION More and more embedded designs rely on smart memory chips rather than bare NAND or NOR. This presentation will start by describing: • Some context to help understand the differences between NAND and MMC • Some typical requirements found in embedded devices designs • Potential filesystems to use on MMC devices 6 Filesystem considerations Introduction INTRODUCTION Focus will then move to block filesystems. How they are supported, what feature do they advertise. To help understand how they compare, we will present some benchmarks and comparisons regarding: • Tools • Reliability • Performances 7 Block devices Filesystem considerations Block devices MMC, EMMC, SD CARD Vocabulary: • MMC: MultiMediaCard is a memory card unveiled in 1997 by SanDisk and Siemens based on NAND flash memory. -
PROTECTING DATA from RANSOMWARE and OTHER DATA LOSS EVENTS a Guide for Managed Service Providers to Conduct, Maintain and Test Backup Files
PROTECTING DATA FROM RANSOMWARE AND OTHER DATA LOSS EVENTS A Guide for Managed Service Providers to Conduct, Maintain and Test Backup Files OVERVIEW The National Cybersecurity Center of Excellence (NCCoE) at the National Institute of Standards and Technology (NIST) developed this publication to help managed service providers (MSPs) improve their cybersecurity and the cybersecurity of their customers. MSPs have become an attractive target for cyber criminals. When an MSP is vulnerable its customers are vulnerable as well. Often, attacks take the form of ransomware. Data loss incidents—whether a ransomware attack, hardware failure, or accidental or intentional data destruction—can have catastrophic effects on MSPs and their customers. This document provides recommend- ations to help MSPs conduct, maintain, and test backup files in order to reduce the impact of these data loss incidents. A backup file is a copy of files and programs made to facilitate recovery. The recommendations support practical, effective, and efficient back-up plans that address the NIST Cybersecurity Framework Subcategory PR.IP-4: Backups of information are conducted, maintained, and tested. An organization does not need to adopt all of the recommendations, only those applicable to its unique needs. This document provides a broad set of recommendations to help an MSP determine: • items to consider when planning backups and buying a backup service/product • issues to consider to maximize the chance that the backup files are useful and available when needed • issues to consider regarding business disaster recovery CHALLENGE APPROACH Backup systems implemented and not tested or NIST Interagency Report 7621 Rev. 1, Small Business planned increase operational risk for MSPs. -
Ways to Avoid a Data-Storage Disaster
TOOLBOX WAYS TO AVOID A DATA-STORAGE DISASTER Hard-drive failures are inevitable, but data loss doesn’t have to be. ILLUSTRATION BY THE PROJECT TWINS THE PROJECT BY ILLUSTRATION BY JEFFREY M. PERKEL was to “clean up the data and get organized”, advantages, and scientists must discover what she says. Instead, she deleted her entire pro- works best for them on the basis of the nature racy Teal was a graduate student when ject. And unlike the safety net offered by the and volume of their data, storage-resource she executed what should have been a Windows and Macintosh operating-system availability and concerns about data privacy. routine command in her Unix termi- trash cans, there’s no way of recovering from In Teal’s case, automation saved the day. Tnal: rm −rf *. That command instructs the executing rm. Unless you have a backup. The server on which she was working was computer to delete everything in the current In the digital world, backing up data is regularly backed up to tape, and the “very directory recursively, including all subdirec- essential, whether those data are smart- friendly and helpful IT folks” on her depart- tories. There was just one problem — she was phone selfies or massive genome-sequencing ment’s life-sciences computing helpdesk were in the wrong directory. data sets. Storage media are fragile, and they able to recover her files. But the situation was At the time, Teal was studying computa- inevitably fail — or are lost, stolen or damaged. particularly embarrassing, she says, because tional linguistics as part of a master’s degree Backup options range from USB memory Teal — who is now executive director at The in biology at the University of California, sticks and cloud-based data-storage services Carpentries, a non-profit organization in San Los Angeles. -
State-Of-The-Art Garbage Collection Policies for NILFS2
State-of-the-art Garbage Collection Policies for NILFS2 DIPLOMARBEIT zur Erlangung des akademischen Grades Diplom-Ingenieur im Rahmen des Studiums Software Engineering/Internet Computing eingereicht von Andreas Rohner, Bsc Matrikelnummer 0502196 an der Fakultät für Informatik der Technischen Universität Wien Betreuung: Ao.Univ.Prof. Dipl.-Ing. Dr.techn. M. Anton Ertl Wien, 23. Jänner 2018 Andreas Rohner M. Anton Ertl Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at State-of-the-art Garbage Collection Policies for NILFS2 DIPLOMA THESIS submitted in partial fulfillment of the requirements for the degree of Diplom-Ingenieur in Software Engineering/Internet Computing by Andreas Rohner, Bsc Registration Number 0502196 to the Faculty of Informatics at the TU Wien Advisor: Ao.Univ.Prof. Dipl.-Ing. Dr.techn. M. Anton Ertl Vienna, 23rd January, 2018 Andreas Rohner M. Anton Ertl Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Erklärung zur Verfassung der Arbeit Andreas Rohner, Bsc Grundsteingasse 43/22 Hiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die verwen- deten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. Wien, 23. Jänner 2018 Andreas Rohner v Danksagung Ich danke meinem Betreuer Ao.Univ.Prof. Dipl.-Ing. Dr.techn. M. Anton Ertl für seine Geduld und Unterstützung. Außerdem schulde ich Ryusuke Konishi, dem Maintainer des NILFS2-Subsystems im Linux-Kernel, Dank für die Durchsicht meiner Patches und die vielen wertvollen Verbesserungsvorschläge. -
The Ongoing Evolution of Ext4 File System
The Ongoing Evolution of Ext4 file system New features and Performance Enhancements Red Hat Luk´aˇsCzerner October 24, 2011 Copyright © 2011 Luk´aˇsCzerner, Red Hat. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the COPYING file. Part I Statistics Agenda 1 Who works on Ext4? 2 Lines of code Who works on Ext4? Agenda 1 Who works on Ext4? 2 Lines of code Who works on Ext4? Last year of Ext4 development 250 non merge changes from 72 developers 9 developers has at least 10 commits 8512 lines of code inserted 5675 lined of code deleted Who works on Ext4? Comparison with other local file systems File system Number of commits Developers Developers* Ext4 250 72 9 Ext3 95 34 2 Xfs 294 34 4 Btrfs 506 60 11 550 Number of commits 500 Developers 450 400 350 300 250 Duration [s] 200 150 100 50 0 EXT3 EXT4 XFS BTRFS File system Lines of code Agenda 1 Who works on Ext4? 2 Lines of code Lines of code Development of the number of lines 80000 Ext3 Xfs Ext4 70000 Btrfs 60000 50000 40000 Lines of code 30000 20000 10000 01/01/05 01/01/06 01/01/07 01/01/08 01/01/09 01/01/10 01/01/11 01/01/12 Part II What's new in Ext4? Agenda 3 Faster file system creation 4 Discard support 5 Support for file systems beyond 16TB 6 Punch hole support 7 Scalability improvements 8 Clustered allocation Faster file system creation -
NOVA: the Fastest File System for Nvdimms
NOVA: The Fastest File System for NVDIMMs Steven Swanson, UC San Diego XFS F2FS NILFS EXT4 BTRFS © 2017 SNIA Persistent Memory Summit. All Rights Reserved. Disk-based file systems are inadequate for NVMM Disk-based file systems cannot 1-Sector 1-Block N-Block 1-Sector 1-Block N-Block Atomicity overwrit overwrit overwrit append append append exploit NVMM performance e e e Ext4 ✓ ✗ ✗ ✗ ✗ ✗ wb Ext4 ✓ ✓ ✗ ✓ ✗ ✓ Performance optimization Order Ext4 ✓ ✓ ✓ ✓ ✗ ✓ compromises consistency on Dataj system failure [1] Btrfs ✓ ✓ ✓ ✓ ✗ ✓ xfs ✓ ✓ ✗ ✓ ✗ ✓ Reiserfs ✓ ✓ ✗ ✓ ✗ ✓ [1] Pillai et al, All File Systems Are Not Created Equal: On the Complexity of Crafting Crash-Consistent Applications, OSDI '14. © 2017 SNIA Persistent Memory Summit. All Rights Reserved. BPFS SCMFS PMFS Aerie EXT4-DAX XFS-DAX NOVA M1FS © 2017 SNIA Persistent Memory Summit. All Rights Reserved. Previous Prototype NVMM file systems are not strongly consistent DAX does not provide data ATomic Atomicity Metadata Data Snapshot atomicity guarantee Mmap [1] So programming is more BPFS ✓ ✓ [2] ✗ ✗ difficult PMFS ✓ ✗ ✗ ✗ Ext4-DAX ✓ ✗ ✗ ✗ Xfs-DAX ✓ ✗ ✗ ✗ SCMFS ✗ ✗ ✗ ✗ Aerie ✓ ✗ ✗ ✗ © 2017 SNIA Persistent Memory Summit. All Rights Reserved. Ext4-DAX and xfs-DAX shortcomings No data atomicity support Single journal shared by all the transactions (JBD2- based) Poor performance Development teams are (rightly) “disk first”. © 2017 SNIA Persistent Memory Summit. All Rights Reserved. NOVA provides strong atomicity guarantees 1-Sector 1-Sector 1-Block 1-Block N-Block N-Block Atomicity Atomicity Metadata Data Mmap overwrite append overwrite append overwrite append Ext4 ✓ ✗ ✗ ✗ ✗ ✗ BPFS ✓ ✓ ✗ wb Ext4 ✓ ✓ ✗ ✓ ✗ ✓ PMFS ✓ ✗ ✗ Order Ext4 ✓ ✓ ✓ ✓ ✗ ✓ Ext4-DAX ✓ ✗ ✗ Dataj Btrfs ✓ ✓ ✓ ✓ ✗ ✓ Xfs-DAX ✓ ✗ ✗ xfs ✓ ✓ ✗ ✓ ✗ ✓ SCMFS ✗ ✗ ✗ Reiserfs ✓ ✓ ✗ ✓ ✗ ✓ Aerie ✓ ✗ ✗ © 2017 SNIA Persistent Memory Summit. All Rights Reserved.