Glossary for Computer Forensics Version 2 Digital/Latent Evidence Section Effective Date: 10/31/2013 Issued by Digital/Latent Forensic Scientist Manager
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Active@ Boot Disk User Guide Copyright © 2008, LSOFT TECHNOLOGIES INC
Active@ Boot Disk User Guide Copyright © 2008, LSOFT TECHNOLOGIES INC. All rights reserved. No part of this documentation may be reproduced in any form or by any means or used to make any derivative work (such as translation, transformation, or adaptation) without written permission from LSOFT TECHNOLOGIES INC. LSOFT TECHNOLOGIES INC. reserves the right to revise this documentation and to make changes in content from time to time without obligation on the part of LSOFT TECHNOLOGIES INC. to provide notification of such revision or change. LSOFT TECHNOLOGIES INC. provides this documentation without warranty of any kind, either implied or expressed, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. LSOFT may make improvements or changes in the product(s) and/or the program(s) described in this documentation at any time. All technical data and computer software is commercial in nature and developed solely at private expense. As the User, or Installer/Administrator of this software, you agree not to remove or deface any portion of any legend provided on any licensed program or documentation contained in, or delivered to you in conjunction with, this User Guide. LSOFT.NET logo is a trademark of LSOFT TECHNOLOGIES INC. Other brand and product names may be registered trademarks or trademarks of their respective holders. 2 Active@ Boot Disk User Guide Contents 1.0 Product Overview .......................................................................................................... -
Active@ UNDELETE Documentation
Active @ UNDELETE Users Guide | Contents | 2 Contents Legal Statement.........................................................................................................5 Active@ UNDELETE Overview............................................................................. 6 Getting Started with Active@ UNDELETE.......................................................... 7 Active@ UNDELETE Views And Windows...................................................................................................... 7 Recovery Explorer View.......................................................................................................................... 8 Logical Drive Scan Result View..............................................................................................................9 Physical Device Scan View......................................................................................................................9 Search Results View...............................................................................................................................11 File Organizer view................................................................................................................................ 12 Application Log...................................................................................................................................... 13 Welcome View........................................................................................................................................14 Using -
A Large-Scale Study of File-System Contents
A Large-Scale Study of File-System Contents John R. Douceur and William J. Bolosky Microsoft Research Redmond, WA 98052 {johndo, bolosky}@microsoft.com ABSTRACT sizes are fairly consistent across file systems, but file lifetimes and file-name extensions vary with the job function of the user. We We collect and analyze a snapshot of data from 10,568 file also found that file-name extension is a good predictor of file size systems of 4801 Windows personal computers in a commercial but a poor predictor of file age or lifetime, that most large files are environment. The file systems contain 140 million files totaling composed of records sized in powers of two, and that file systems 10.5 TB of data. We develop analytical approximations for are only half full on average. distributions of file size, file age, file functional lifetime, directory File-system designers require usage data to test hypotheses [8, size, and directory depth, and we compare them to previously 10], to drive simulations [6, 15, 17, 29], to validate benchmarks derived distributions. We find that file and directory sizes are [33], and to stimulate insights that inspire new features [22]. File- fairly consistent across file systems, but file lifetimes vary widely system access requirements have been quantified by a number of and are significantly affected by the job function of the user. empirical studies of dynamic trace data [e.g. 1, 3, 7, 8, 10, 14, 23, Larger files tend to be composed of blocks sized in powers of two, 24, 26]. However, the details of applications’ and users’ storage which noticeably affects their size distribution. -
Chapter 3. Booting Operating Systems
Chapter 3. Booting Operating Systems Abstract: Chapter 3 provides a complete coverage on operating systems booting. It explains the booting principle and the booting sequence of various kinds of bootable devices. These include booting from floppy disk, hard disk, CDROM and USB drives. Instead of writing a customized booter to boot up only MTX, it shows how to develop booter programs to boot up real operating systems, such as Linux, from a variety of bootable devices. In particular, it shows how to boot up generic Linux bzImage kernels with initial ramdisk support. It is shown that the hard disk and CDROM booters developed in this book are comparable to GRUB and isolinux in performance. In addition, it demonstrates the booter programs by sample systems. 3.1. Booting Booting, which is short for bootstrap, refers to the process of loading an operating system image into computer memory and starting up the operating system. As such, it is the first step to run an operating system. Despite its importance and widespread interests among computer users, the subject of booting is rarely discussed in operating system books. Information on booting are usually scattered and, in most cases, incomplete. A systematic treatment of the booting process has been lacking. The purpose of this chapter is to try to fill this void. In this chapter, we shall discuss the booting principle and show how to write booter programs to boot up real operating systems. As one might expect, the booting process is highly machine dependent. To be more specific, we shall only consider the booting process of Intel x86 based PCs. -
Latency-Aware, Inline Data Deduplication for Primary Storage
iDedup: Latency-aware, inline data deduplication for primary storage Kiran Srinivasan, Tim Bisson, Garth Goodson, Kaladhar Voruganti NetApp, Inc. fskiran, tbisson, goodson, [email protected] Abstract systems exist that deduplicate inline with client requests for latency sensitive primary workloads. All prior dedu- Deduplication technologies are increasingly being de- plication work focuses on either: i) throughput sensitive ployed to reduce cost and increase space-efficiency in archival and backup systems [8, 9, 15, 21, 26, 39, 41]; corporate data centers. However, prior research has not or ii) latency sensitive primary systems that deduplicate applied deduplication techniques inline to the request data offline during idle time [1, 11, 16]; or iii) file sys- path for latency sensitive, primary workloads. This is tems with inline deduplication, but agnostic to perfor- primarily due to the extra latency these techniques intro- mance [3, 36]. This paper introduces two novel insights duce. Inherently, deduplicating data on disk causes frag- that enable latency-aware, inline, primary deduplication. mentation that increases seeks for subsequent sequential Many primary storage workloads (e.g., email, user di- reads of the same data, thus, increasing latency. In addi- rectories, databases) are currently unable to leverage the tion, deduplicating data requires extra disk IOs to access benefits of deduplication, due to the associated latency on-disk deduplication metadata. In this paper, we pro- costs. Since offline deduplication systems impact la- -
On the Performance Variation in Modern Storage Stacks
On the Performance Variation in Modern Storage Stacks Zhen Cao1, Vasily Tarasov2, Hari Prasath Raman1, Dean Hildebrand2, and Erez Zadok1 1Stony Brook University and 2IBM Research—Almaden Appears in the proceedings of the 15th USENIX Conference on File and Storage Technologies (FAST’17) Abstract tions on different machines have to compete for heavily shared resources, such as network switches [9]. Ensuring stable performance for storage stacks is im- In this paper we focus on characterizing and analyz- portant, especially with the growth in popularity of ing performance variations arising from benchmarking hosted services where customers expect QoS guaran- a typical modern storage stack that consists of a file tees. The same requirement arises from benchmarking system, a block layer, and storage hardware. Storage settings as well. One would expect that repeated, care- stacks have been proven to be a critical contributor to fully controlled experiments might yield nearly identi- performance variation [18, 33, 40]. Furthermore, among cal performance results—but we found otherwise. We all system components, the storage stack is the corner- therefore undertook a study to characterize the amount stone of data-intensive applications, which become in- of variability in benchmarking modern storage stacks. In creasingly more important in the big data era [8, 21]. this paper we report on the techniques used and the re- Although our main focus here is reporting and analyz- sults of this study. We conducted many experiments us- ing the variations in benchmarking processes, we believe ing several popular workloads, file systems, and storage that our observations pave the way for understanding sta- devices—and varied many parameters across the entire bility issues in production systems. -
Chapter 9: Peripheral Devices—Overview D a 2/E
C S Chapter 9: Peripheral Devices—Overview D A 2/e Magnetic disk drives: ubiquitous and complex Other moving media devices: tape and CD ROM Display devices Video monitors: analog characteristics Video terminals Memory mapped video displays Flat panel displays Printers: dot matrix, laser, inkjet Manual input: keyboards and mice A to D and D to A converters: the analog world Computer Systems Design and Architecture Second Edition © 2004 Prentice Hall C S Tbl 9.1 Some Common Peripheral Interface D Standards A 2/e Bus Standard Data Rate Bus Width Centronics ~50KB/s 8-bit parallel EIA RS232/422 30-20K B/s bit-serial SCSI 10-500 MB/s 16-bit parallel Ethernet 10-1000 Mb/s bit-serial USB 1.5-12 Mb/s bit-serial USB-2 480 Mb/s bit-serial FireWire† 100-400 Mb/s bit-serial FireWire-800† 800 Mb/s bit-serial †Also known as Sony iLink, or IEEE1394 and 1394b, respectively Computer Systems Design and Architecture Second Edition © 2004 Prentice Hall C S Disk Drives—Moving Media Magnetic D Recording A 2/e High density and non-volatile Densities approaching semiconductor RAM on an inexpensive medium No power required to retain stored information Motion of medium supplies power for sensing More random access than tape: direct access Different platters selected electronically Track on platter selected by head movement Cyclic sequential access to data on a track Structured address of data on disk Drive: Platter: Track: Sector: Byte Computer Systems Design and Architecture Second Edition © 2004 Prentice Hall C S Fig 9.3 Cutaway View of a Multi-Platter -
Filesystems HOWTO Filesystems HOWTO Table of Contents Filesystems HOWTO
Filesystems HOWTO Filesystems HOWTO Table of Contents Filesystems HOWTO..........................................................................................................................................1 Martin Hinner < [email protected]>, http://martin.hinner.info............................................................1 1. Introduction..........................................................................................................................................1 2. Volumes...............................................................................................................................................1 3. DOS FAT 12/16/32, VFAT.................................................................................................................2 4. High Performance FileSystem (HPFS)................................................................................................2 5. New Technology FileSystem (NTFS).................................................................................................2 6. Extended filesystems (Ext, Ext2, Ext3)...............................................................................................2 7. Macintosh Hierarchical Filesystem − HFS..........................................................................................3 8. ISO 9660 − CD−ROM filesystem.......................................................................................................3 9. Other filesystems.................................................................................................................................3 -
CD ROM Drives and Their Handling Under RISC OS Explained
28th April 1995 Support Group Application Note Number: 273 Issue: 0.4 **DRAFT** Author: DW CD ROM Drives and their Handling under RISC OS Explained This Application Note details the interfacing of, and protocols underlying, CD ROM drives and their handling under RISC OS. Applicable Related Hardware : Application All Acorn computers running Notes: 266: Developing CD ROM RISC OS 3.1 or greater products for Acorn machines 269: File transfer between Acorn and foreign platforms Every effort has been made to ensure that the information in this leaflet is true and correct at the time of printing. However, the products described in this leaflet are subject to continuous development and Support Group improvements and Acorn Computers Limited reserves the right to change its specifications at any time. Acorn Computers Limited Acorn Computers Limited cannot accept liability for any loss or damage arising from the use of any information or particulars in this leaflet. Acorn, the Acorn Logo, Acorn Risc PC, ECONET, AUN, Pocket Acorn House Book and ARCHIMEDES are trademarks of Acorn Computers Limited. Vision Park ARM is a trademark of Advance RISC Machines Limited. Histon, Cambridge All other trademarks acknowledged. ©1995 Acorn Computers Limited. All rights reserved. CB4 4AE Support Group Application Note No. 273, Issue 0.4 **DRAFT** 28th April 1995 Table of Contents Introduction 3 Interfacing CD ROM Drives 3 Features of CD ROM Drives 4 CD ROM Formatting Standards ("Coloured Books") 5 CD ROM Data Storage Standards 7 CDFS and CD ROM Drivers 8 Accessing Data on CD ROMs Produced for Non-Acorn Platforms 11 Troubleshooting 12 Appendix A: Useful Contacts 13 Appendix B: PhotoCD Mastering Bureaux 14 Appendix C: References 14 Support Group Application Note No. -
Diskgenius User Guide (PDF)
www.diskgenius.com DiskGenius® User Guide The information in this document is subject to change without notice. This document is not warranted to be error free. Copyright © 2010-2021 Eassos Ltd. All Rights Reserved 1 / 236 www.diskgenius.com CONTENTS Introduction ................................................................................................................................. 6 Partition Management ............................................................................................................. 6 Create New Partition ........................................................................................................ 6 Active Partition (Mark Partition as Active) .............................................................. 10 Delete Partition ................................................................................................................ 12 Format Partition ............................................................................................................... 14 Hide Partition .................................................................................................................... 15 Modify Partition Parameters ........................................................................................ 17 Resize Partition ................................................................................................................. 20 Split Partition ..................................................................................................................... 23 Extend -
Porting FUSE to L4re
Großer Beleg Porting FUSE to L4Re Florian Pester 23. Mai 2013 Technische Universit¨at Dresden Fakult¨at Informatik Institut fur¨ Systemarchitektur Professur Betriebssysteme Betreuender Hochschullehrer: Prof. Dr. rer. nat. Hermann H¨artig Betreuender Mitarbeiter: Dipl.-Inf. Carsten Weinhold Erkl¨arung Hiermit erkl¨are ich, dass ich diese Arbeit selbstst¨andig erstellt und keine anderen als die angegebenen Hilfsmittel benutzt habe. Declaration I hereby declare that this thesis is a work of my own, and that only cited sources have been used. Dresden, den 23. Mai 2013 Florian Pester Contents 1. Introduction 1 2. State of the Art 3 2.1. FUSE on Linux . .3 2.1.1. FUSE Internal Communication . .4 2.2. The L4Re Virtual File System . .5 2.3. Libfs . .5 2.4. Communication and Access Control in L4Re . .6 2.5. Related Work . .6 2.5.1. FUSE . .7 2.5.2. Pass-to-Userspace Framework Filesystem . .7 3. Design 9 3.1. FUSE Server parts . 11 4. Implementation 13 4.1. Example Request handling . 13 4.2. FUSE Server . 14 4.2.1. LibfsServer . 14 4.2.2. Translator . 14 4.2.3. Requests . 15 4.2.4. RequestProvider . 15 4.2.5. Node Caching . 15 4.3. Changes to the FUSE library . 16 4.4. Libfs . 16 4.5. Block Device Server . 17 4.6. File systems . 17 5. Evaluation 19 6. Conclusion and Further Work 25 A. FUSE operations 27 B. FUSE library changes 35 C. Glossary 37 V List of Figures 2.1. The architecture of FUSE on Linux . .3 2.2. The architecture of libfs . -
Paratrac: a Fine-Grained Profiler for Data-Intensive Workflows
ParaTrac: A Fine-Grained Profiler for Data-Intensive Workflows Nan Dun Kenjiro Taura Akinori Yonezawa Department of Computer Department of Information and Department of Computer Science Communication Engineering Science The University of Tokyo The University of Tokyo The University of Tokyo 7-3-1 Hongo, Bunkyo-Ku 7-3-1 Hongo, Bunkyo-Ku 7-3-1 Hongo, Bunkyo-Ku Tokyo, 113-5686 Japan Tokyo, 113-5686 Japan Tokyo, 113-5686 Japan [email protected] [email protected] [email protected] tokyo.ac.jp tokyo.ac.jp tokyo.ac.jp ABSTRACT 1. INTRODUCTION The realistic characteristics of data-intensive workflows are With the advance of high performance distributed com- critical to optimal workflow orchestration and profiling is puting, users are able to execute various data-intensive an effective approach to investigate the behaviors of such applications by harnessing massive computing resources [1]. complex applications. ParaTrac is a fine-grained profiler Though workflow management systems have been developed for data-intensive workflows by using user-level file system to alleviate the difficulties of planning, scheduling, and exe- and process tracing techniques. First, ParaTrac enables cuting complex workflows in distributed environments [2{5], users to quickly understand the I/O characteristics of from optimal workflow management still remains a challenge entire application to specific processes or files by examining because of the complexity of applications. Therefore, one low-level I/O profiles. Second, ParaTrac automatically of important and practical demands is to understand and exploits fine-grained data-processes interactions in workflow characterize the data-intensive applications to help workflow to help users intuitively and quantitatively investigate management systems (WMS) refine their orchestration for realistic execution of data-intensive workflows.