Solaris ZFS Administration Guide Provides Information About Setting up and Managing Solaristm ZFS file Systems
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An Analysis of Data Corruption in the Storage Stack
An Analysis of Data Corruption in the Storage Stack Lakshmi N. Bairavasundaram∗, Garth R. Goodson†, Bianca Schroeder‡ Andrea C. Arpaci-Dusseau∗, Remzi H. Arpaci-Dusseau∗ ∗University of Wisconsin-Madison †Network Appliance, Inc. ‡University of Toronto {laksh, dusseau, remzi}@cs.wisc.edu, [email protected], [email protected] Abstract latent sector errors, within disk drives [18]. Latent sector errors are detected by a drive’s internal error-correcting An important threat to reliable storage of data is silent codes (ECC) and are reported to the storage system. data corruption. In order to develop suitable protection Less well-known, however, is that current hard drives mechanisms against data corruption, it is essential to un- and controllers consist of hundreds-of-thousandsof lines derstand its characteristics. In this paper, we present the of low-level firmware code. This firmware code, along first large-scale study of data corruption. We analyze cor- with higher-level system software, has the potential for ruption instances recorded in production storage systems harboring bugs that can cause a more insidious type of containing a total of 1.53 million disk drives, over a pe- disk error – silent data corruption, where the data is riod of 41 months. We study three classes of corruption: silently corrupted with no indication from the drive that checksum mismatches, identity discrepancies, and par- an error has occurred. ity inconsistencies. We focus on checksum mismatches since they occur the most. Silent data corruptionscould lead to data loss more of- We find more than 400,000 instances of checksum ten than latent sector errors, since, unlike latent sector er- mismatches over the 41-month period. -
Oracle Solaris 11 Overview and Design Guide
Oracle Solaris 11 Overview and Design Guide December 2016 (Edition 1.0) Fujitsu Limited Copyright 2012-2016 FUJITSU LIMITED Preface 1/2 Purpose - This document provides an overview of Oracle Solaris 11 and introduces the new functions. Audience - People who want to study Oracle Solaris 11 - People who already understand an overview of Oracle Solaris Notes - The contents of this document are based on Oracle Solaris 11.3. For the latest information on Oracle Solaris 11, see the manuals from Oracle. - Fujitsu M10 is sold as SPARC M10 Systems by Fujitsu in Japan. Fujitsu M10 and SPARC M10 Systems are identical products. Positioning of documents ⁃ Oracle Solaris 11 http://www.fujitsu.com/global/products/computing/servers/unix/sparc/downloads/documents/ Design Install Operate Oracle Solaris 11 Oracle Solaris 11 Implementation and Operations Guide Overview and Design Guide Oracle Solaris 11 Implementation and Operations Procedure Guide 1 Copyright 2012-2016 FUJITSU LIMITED Preface 2/2 Descriptions in this document - The section numbers of commands are omitted. Example: ⁃ ls(1) => ls command ⁃ shutdown(1M) => shutdown command - The following table lists terms that may be abbreviated. Abbreviation Formal Name Solaris Oracle Solaris Solaris zone Oracle Solaris zone Oracle VM Oracle VM Server for SPARC 2 Copyright 2012-2016 FUJITSU LIMITED Contents 1. Overview of Oracle Solaris 11 2. Installation of Oracle Solaris 11 3. Image Packaging System (IPS) - Oracle Solaris Package Management - 4. ZFS - Oracle Solaris File System - 5. Boot Environment (BE) - Oracle Solaris Boot Environment - 6. Virtualization of Oracle Solaris - Oracle Solaris Zones - 7. Security Appendix 3 Copyright 2012-2016 FUJITSU LIMITED 1. -
Solaris 10 System Administration Bootcamp
"Charting the Course ... ... to Your Success!" Solaris 10 System Administration Bootcamp Course Summary Description This course teaches intermediate and advanced topics in Solaris system administration by combining both the Solaris 10 System Administration Part 1 and Part 2 courses. The operating system will be Solaris 10 (SunOS 5.10 version 9/10). The course is taught on Sun SPARC servers and x86-based systems. This course prepares the student for the Oracle Certified Professional, Oracle Solaris 10 System Administrator Certification Exams (CX- 310-200, CX-310-202 & CX-310-203) Objectives At the end of this course, students will be able to: Perform system boot and shutdown Manage storage volumes (SVM) procedures on SPARC and x86-based Control access and configure system systems messaging Administer the Service Management Facility Configure role-based access control (RBAC) (SMF) Set up name services Manage Solaris file systems Introduction to LDAP Install the Solaris 10 Operating environment Perform advanced installation procedures on SPARC and x86-based systems (Flash archive, JumpStart and WAN boot) Create and administer user accounts Install the OS on a mirrored ZFS root pool Understand security issues and perform Perform a Solaris Live Upgrade security administration Perform a Solaris Flash installation Manage system processes Understand differences between SPARC Perform system backups and restorations and x86-based Solaris Operating Describe network basics environments. Configure the network interface and network -
EMC Host Connectivity Guide for Oracle Solaris
Dell EMC Host Connectivity Guide for Oracle Solaris P/N 300-000-607 REV 56 MAY 2020 Copyright © 2007 – 2020 Dell Inc. or its subsidiaries. All rights reserved. Dell believes the information in this publication is accurate as of its publication date. The information is subject to change without notice. THE INFORMATION IN THIS PUBLICATION IS PROVIDED “AS-IS.” DELL MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND WITH RESPECT TO THE INFORMATION IN THIS PUBLICATION, AND SPECIFICALLY DISCLAIMS IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. USE, COPYING, AND DISTRIBUTION OF ANY DELL SOFTWARE DESCRIBED IN THIS PUBLICATION REQUIRES AN APPLICABLE SOFTWARE LICENSE. Dell Technologies, Dell, EMC, Dell EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be the propertyof their respective owners. Published in the USA. Dell EMC Hopkinton, Massachusetts 01748-9103 1-508-435-1000 In North America 1-866-464-7381 www.DellEMC.com 2 Dell EMC Host Connectivity Guide for Oracle Solaris CONTENTS Preface ....................................................................................................................................... 13 Part 1 Connecting Solaris to Dell EMC Storage Chapter 1 Solaris Operating System Solaris operating system overview........................................................................ 20 Multipathing software ........................................................................................... 21 MPxIO/STMS ............................................................................................... -
Sbadmin for Solaris System Recovery Guide Is a Supplement to the Sbadmin User Guide, Providing Details on Reinstalling a Solaris System from a Sbadmin System Backup
Solaris System Recovery Guide Version 8.2 Trademarks and Copyrights © Copyright Storix, Inc. 1999-2020 USA Storix is a registered trademark of Storix, Inc. in the USA SBAdmin is a trademark of Storix, Inc in the USA and other countries Intel, Pentium, IA32, Itanium, Celeron and IA64 are registered trademarks of Intel Corporation. AMD, Opteron, and Athlon are registered trademarks of Advanced Micro Devices. Sun Microsystems and the Solaris™ operating system is a trademark of Sun Microsystems, Inc. SPARC is a trademark of SPARC International, Inc. All other company/product names and service marks may be trademarks or registered trademarks of their respective companies. Publicly Available Software This product either includes or is developed using source code that is publicly available: AESCrypt* Rijndael and Cipher Block Feedback mode Copyright 1999, 2000 Enhanced Software (CFB-128) encryption/decryption algorithms Technologies Inc. http://aescrypt.sourceforge.net/ Tcl Open source scripting language Copyright Regents of the University of California, Sun Microsystems, Inc. http://tcl.sourceforge.net Tk Tk graphics toolkit Copyright Regents of the University of California, Sun Microsystems, Inc. http://tcl.sourceforge.net DropBear A Smallish SSH 2 Server and Client Copyright 2002, 2003 Matt Johnston http://www.matt.ucc.asn.au/dropbear/dropbear.html lighttpd Secure, fast, compliant and flexible web-server Copyright 2004 Jan Kneschkle, incremental http://www.lighttpd.net OpenSSL Toolkit implementing Secure Socket Layer Copyright 1998-2008 The OpenSSL Project Copyright 1995-1998 Eric A. Young, Tim J. Hudson http://www.openssl.org bpgetfile RPC boot params client *Encryption Software SBAdmin System Backup Administrator Backup Data Encryption Feature has a cryptographic component, using Advanced Encryption Standard (AES) "Rijndael" encryption algorithm in Cipher Block Feedback (stream) mode (CFB-128), supporting 128, 192 and 256-bit keys. -
Active Storage Activeraid ES Data Sheet
RAID Storage Evolved Welcome to RAID Storage Evolved Key Features Introducing the ActiveRAID ES — the affordable high performance RAID storage solution Optimized RAID performance in Apple Mac for Apple® users. The ActiveRAID ES was designed using the same principles of the OS X® Applications original ActiveRAID, but represents a previously unobtainable level of value by providing the capabilities of the ActiveRAID in a lower cost configuration that does not sacrifice Modern Linux RAID kernel and RAID the performance, reliability or ease of management of the original ActiveRAID. The controller design ActiveRAID ES was carefully designed for use in business critical applications where Proprietary self-optimizing architecture organizations require a high level of data integrity with ease of installation and management, but not the 24/7 365 day duty cycles of a large enterprise or Post-Production or Broadcast facility. Native Mac OS X Storage management suite The ActiveRAID ES provides redundant power, redundant cooling and redundant Fibre Dashboard Widget monitoring Channel connections, and the same powerful, yet easy to use management suite of the original ActiveRAID. The ES differs from the original ActiveRAID in that it has a single high Enterprise performance and reliability performance RAID controller and uses business class hard drives with a smaller cache size. without Enterprise complexity This results in a very robust RAID solution ideal for business class applications. Performance No long Quick Start guides to memorize of the ActiveRAID ES is impressive at up to 774 MB/s*† throughput and will easily handle Performance profiling and statistical most Mac OS X Server applications. The ActiveRAID ES is the ideal storage for business planning tools class applications such as File serving, database services, web hosting, calendar, Wiki, Mail, iChat and much more. -
Algorithms for Data Cleaning in Knowledge Bases
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by VFAST - Virtual Foundation for Advancement of Science and Technology (Pakistan) VFAST Transactions on Software Engineering http://vfast.org/journals/index.php/VTSE@ 2018, ISSN(e): 2309-6519; ISSN(p): 2411-6327 Volume 15, Number 2, May-August, 2018 pp. 78-83 ALGORITHMS FOR DATA CLEANING IN KNOWLEDGE BASES 1 1 1 ADEEL ASHRAF , SARAH ILYAS , KHAWAJA UBAID UR REHMAN AND SHAKEEL AHMAD2 ` 1Department of Computer Science, University of Management and Technology, Punjab, Pakistan 2Department of Computer Sciences, Faculty of Computing and Information Technology in rabigh, King Abdulaziz University Jeddah Email: [email protected] ABSTRACT. Data cleaning is an action which includes a process of correcting and identifying the inconsistencies and errors in data warehouse. Different terms are uses in these papers like data cleaning also called data scrubbing. Using data scrubbing to get high quality data and this is one the data ETL (extraction transformation and loading tools). Now a day there is a need of authentic information for better decision-making. So we conduct a review paper in which six papers are reviewed related to data cleaning. Relating papers discussed different algorithms, methods, problems, their solutions and approaches etc. Each paper has their own methods to solve a problem in efficient way, but all the paper have common problem of data cleaning and inconsistencies. In these papers data inconsistencies, identification of the errors, conflicting, duplicates records etc problems are discussed in detail and also provided the solutions. These algorithms increase the quality of data. -
A Study Over Importance of Data Cleansing in Data Warehouse Shivangi Rana Er
Volume 6, Issue 4, April 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Study over Importance of Data Cleansing in Data Warehouse Shivangi Rana Er. Gagan Prakesh Negi Kapil Kapoor Research Scholar Assistant Professor Associate Professor CSE Department CSE Department ECE Department Abhilashi Group of Institutions Abhilashi Group of Institutions Abhilashi Group of Institutions (School of Engg.) (School of Engg.) (School of Engg.) Chail Chowk, Mandi, India Chail Chowk, Mandi, India Chail Chowk Mandi, India Abstract: Cleansing data from impurities is an integral part of data processing and maintenance. This has lead to the development of a broad range of methods intending to enhance the accuracy and thereby the usability of existing data. In these days, many organizations tend to use a Data Warehouse to meet the requirements to develop decision-making processes and achieve their goals better and satisfy their customers. It enables Executives to access the information they need in a timely manner for making the right decision for any work. Decision Support System (DSS) is one of the means that applied in data mining. Its robust and better decision depends on an important and conclusive factor called Data Quality (DQ), to obtain a high data quality using Data Scrubbing (DS) which is one of data Extraction Transformation and Loading (ETL) tools. Data Scrubbing is very important and necessary in the Data Warehouse (DW). This paper presents a survey of sources of error in data, data quality challenges and approaches, data cleaning types and techniques and an overview of ETL Process. -
Design Tradeoffs for SSD Reliability Bryan S
Design Tradeoffs for SSD Reliability Bryan S. Kim, Seoul National University; Jongmoo Choi, Dankook University; Sang Lyul Min, Seoul National University https://www.usenix.org/conference/fast19/presentation/kim-bryan This paper is included in the Proceedings of the 17th USENIX Conference on File and Storage Technologies (FAST ’19). February 25–28, 2019 • Boston, MA, USA 978-1-939133-09-0 Open access to the Proceedings of the 17th USENIX Conference on File and Storage Technologies (FAST ’19) is sponsored by Design Tradeoffs for SSD Reliability Bryan S. Kim Jongmoo Choi Sang Lyul Min Seoul National University Dankook University Seoul National University Abstract SSD Redun- Data dancy mgmt. Flash memory-based SSDs are popular across a wide range scheme of data storage markets, while the underlying storage medium—flash memory—is becoming increasingly unreli- SSD reliability Flash Data Data Host enhancement able. As a result, modern SSDs employ a number of in- memory re-read scrubbing system techniques device reliability enhancement techniques, but none of them RBER of UBER offers a one size fits all solution when considering the multi- Thres. Error underlying requirement for voltage correction dimensional requirements for SSDs: performance, reliabil- memories: SSDs: tuning code ity, and lifetime. 10-4 ~ 10-2 10-17 ~ 10-15 In this paper, we examine the design tradeoffs of exist- Figure 1: SSD reliability enhancement techniques. ing reliability enhancement techniques such as data re-read, intra-SSD redundancy, and data scrubbing. We observe that an uncoordinated use of these techniques adversely affects ory [10]. The high error rates in today’s flash memory are the performance of the SSD, and careful management of the caused by various reasons, from wear-and-tear [11,19,27], to techniques is necessary for a graceful performance degrada- gradual charge leakage [11,14,51] and data disturbance [13, tion while maintaining a high reliability standard. -
First Draft of UNIX Course Outline
Contact Us: (616) 875-4060 Oracle Solaris 10 Advanced System Administration Course Summary Length: 5 Days Prerequisite: Oracle Solaris 10 System Administration 1 Recommendation Statement: To succeed fully in this course, students should already know how to: Manage files and directories ∙ Control the user work environment∙ Archive files ∙ Use remote commands ∙ Manage ZFS file systems ∙ Administer Zones ∙ Install software ∙ Manage software packages and repositories using IPS tools ∙ Perform system boot procedures ∙ Understand user and security administration ∙ Manage system processes ∙ Perform system backups and recovery ∙ Configure Network Connectivity ∙ Understand system startup procedures and the Service Management Facility. Course Description: This course teaches advanced topics in Solaris 10 system administration. The operating system will be Oracle Solaris 10 1/13 update 11. The course is taught on both Sun SPARC and x86-based servers and students will have access to both server architectures for their labs. This course will teach students how to administer a Solaris 10 server. This course prepares the student for the Oracle Certified Solaris 10 System Administrator Examination Part 2 Upon completion of this course, you should be able to: • Describe network basics • Describe remote administration with the Solaris Management Console software • Manage virtual file systems and core dumps • Manage storage volumes (SVM) • Control access and configure system messaging • Configure role-based access control (RBAC) • Set up name services • Perform advanced installation procedures (Flash archive, JumpStart and WAN boot) • Install the OS on a mirrored ZFS root pool • Perform a Solaris Live Upgrade • Perform a Solaris Flash installation • Understand differences between SPARC and x86-based Solaris Operating environments. -
What Is Data Preparation?
Analytics Canvas Tutorial: What is Data Preparation? nModal Solutions Inc. All Rights Reserved Analytics Canvas Tutorial: Course Introduction What is Data Preparation? Myth: Data preparation is a time-consuming manual process that is heavily prone to errors. Fact: Data preparation, when done with the right tools, empowers users to maintain control, while accelerating the process and providing a better foundation for decision-making. Better decision- making starts with better data. To an extent, data preparation is synonymous with, or related to: data pre-processing, data scrubbing, business intelligence, data cleansing/cleaning, and ETL (“Extract, Transform, and Load”). In this course, we are going to take a broad view of data preparation. Here is the definition we will work with: data preparation is a step in the data analysis process, in which data from one or more sources is cleaned, and transformed and enriched to improve its quality prior to its use. Data- driven decisions Knowledge discovery Data Science Descriptive analytics and reporting Data preparation Data Sources Figure 1: Data Preparation in the Data Analysis Process The figure above illustrates the position of the data preparation in the data analysis process. It is easy to see the importance of data preparation - as the foundation of business decisions. nModal Solutions Inc. All Rights Reserved Analytics Canvas Tutorial: Course Introduction Conclusion Thank you for reading this tutorial. We invite you to continue with the tutorial training to learn more about using Analytics Canvas. nModal Solutions Inc. All Rights Reserved . -
System Administration Guide Devices and File Systems
System Administration Guide: Devices and File Systems Part No: 817–5093–24 January 2012 Copyright © 2004, 2012, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT RIGHTS. Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are "commercial computer software" or "commercial technical data" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, the use, duplication, disclosure, modification, and adaptation shall be subject to the restrictions and license terms setforth in the applicable Government contract, and, to the extent applicable by the terms of the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software License (December 2007). Oracle America, Inc., 500 Oracle Parkway, Redwood City, CA 94065.