For Linux on IBM System Z a Cluster File System with High-Performance, High Availability and Parallel File Access
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Elastic Storage for Linux on System Z IBM Research & Development Germany
Peter Münch T/L Test and Development – Elastic Storage for Linux on System z IBM Research & Development Germany Elastic Storage for Linux on IBM System z © Copyright IBM Corporation 2014 9.0 Elastic Storage for Linux on System z Session objectives • This presentation introduces the Elastic Storage, based on General Parallel File System technology that will be available for Linux on IBM System z. Understand the concepts of Elastic Storage and which functions will be available for Linux on System z. Learn how you can integrate and benefit from the Elastic Storage in a Linux on System z environment. Finally, get your first impression in a live demo of Elastic Storage. 2 © Copyright IBM Corporation 2014 Elastic Storage for Linux on System z Trademarks The following are trademarks of the International Business Machines Corporation in the United States and/or other countries. AIX* FlashSystem Storwize* Tivoli* DB2* IBM* System p* WebSphere* DS8000* IBM (logo)* System x* XIV* ECKD MQSeries* System z* z/VM* * Registered trademarks of IBM Corporation The following are trademarks or registered trademarks of other companies. Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. -
BESIII Physical Analysis on Hadoop Platform
20th International Conference on Computing in High Energy and Nuclear Physics (CHEP2013) IOP Publishing Journal of Physics: Conference Series 513 (2014) 032044 doi:10.1088/1742-6596/513/3/032044 BESIII Physical Analysis on Hadoop Platform Jing HUO12, Dongsong ZANG12, Xiaofeng LEI12, Qiang LI12, Gongxing SUN1 1Institute of High Energy Physics, Beijing, China 2University of Chinese Academy of Sciences, Beijing, China E-mail: [email protected] Abstract. In the past 20 years, computing cluster has been widely used for High Energy Physics data processing. The jobs running on the traditional cluster with a Data-to-Computing structure, have to read large volumes of data via the network to the computing nodes for analysis, thereby making the I/O latency become a bottleneck of the whole system. The new distributed computing technology based on the MapReduce programming model has many advantages, such as high concurrency, high scalability and high fault tolerance, and it can benefit us in dealing with Big Data. This paper brings the idea of using MapReduce model to do BESIII physical analysis, and presents a new data analysis system structure based on Hadoop platform, which not only greatly improve the efficiency of data analysis, but also reduces the cost of system building. Moreover, this paper establishes an event pre-selection system based on the event level metadata(TAGs) database to optimize the data analyzing procedure. 1. Introduction 1.1 The current BESIII computing architecture High Energy Physics experiment is a typical data-intensive application. The BESIII computing system now consist of 3PB+ data, 6500 CPU cores, and it is estimated that there will be more than 10PB data produced in the future 5 years. -
Membrane: Operating System Support for Restartable File Systems Swaminathan Sundararaman, Sriram Subramanian, Abhishek Rajimwale, Andrea C
Membrane: Operating System Support for Restartable File Systems Swaminathan Sundararaman, Sriram Subramanian, Abhishek Rajimwale, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Michael M. Swift Computer Sciences Department, University of Wisconsin, Madison Abstract and most complex code bases in the kernel. Further, We introduce Membrane, a set of changes to the oper- file systems are still under active development, and new ating system to support restartable file systems. Mem- ones are introduced quite frequently. For example, Linux brane allows an operating system to tolerate a broad has many established file systems, including ext2 [34], class of file system failures and does so while remain- ext3 [35], reiserfs [27], and still there is great interest in ing transparent to running applications; upon failure, the next-generation file systems such as Linux ext4 and btrfs. file system restarts, its state is restored, and pending ap- Thus, file systems are large, complex, and under develop- plication requests are serviced as if no failure had oc- ment, the perfect storm for numerous bugs to arise. curred. Membrane provides transparent recovery through Because of the likely presence of flaws in their imple- a lightweight logging and checkpoint infrastructure, and mentation, it is critical to consider how to recover from includes novel techniques to improve performance and file system crashes as well. Unfortunately, we cannot di- correctness of its fault-anticipation and recovery machin- rectly apply previous work from the device-driver litera- ery. We tested Membrane with ext2, ext3, and VFAT. ture to improving file-system fault recovery. File systems, Through experimentation, we show that Membrane in- unlike device drivers, are extremely stateful, as they man- duces little performance overhead and can tolerate a wide age vast amounts of both in-memory and persistent data; range of file system crashes. -
IBM Spectrum Scale CSI Driver for Container Persistent Storage
Front cover IBM Spectrum Scale CSI Driver for Container Persistent Storage Abhishek Jain Andrew Beattie Daniel de Souza Casali Deepak Ghuge Harald Seipp Kedar Karmarkar Muthu Muthiah Pravin P. Kudav Sandeep R. Patil Smita Raut Yadavendra Yadav Redpaper IBM Redbooks IBM Spectrum Scale CSI Driver for Container Persistent Storage April 2020 REDP-5589-00 Note: Before using this information and the product it supports, read the information in “Notices” on page ix. First Edition (April 2020) This edition applies to Version 5, Release 0, Modification 4 of IBM Spectrum Scale. © Copyright International Business Machines Corporation 2020. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. iii iv IBM Spectrum Scale CSI Driver for Container Persistent Storage Contents Notices . vii Trademarks . viii Preface . ix Authors. ix Now you can become a published author, too . xi Comments welcome. xii Stay connected to IBM Redbooks . xii Chapter 1. IBM Spectrum Scale and Containers Introduction . 1 1.1 Abstract . 2 1.2 Assumptions . 2 1.3 Key concepts and terminology . 3 1.3.1 IBM Spectrum Scale . 3 1.3.2 Container runtime . 3 1.3.3 Container Orchestration System. 4 1.4 Introduction to persistent storage for containers Flex volumes. 4 1.4.1 Static provisioning. 4 1.4.2 Dynamic provisioning . 4 1.4.3 Container Storage Interface (CSI). 5 1.4.4 Advantages of using IBM Spectrum Scale storage for containers . 5 Chapter 2. Architecture of IBM Spectrum Scale CSI Driver . 7 2.1 CSI Component Overview. 8 2.2 IBM Spectrum Scale CSI driver architecture. -
Developments in GFS2
Developments in GFS2 Andy Price <[email protected]> Software Engineer, GFS2 OSSEU 2018 11 GFS2 recap ● Shared storage cluster filesystem ● High availability clusters ● Uses glocks (“gee-locks”) based on DLM locking ● One journal per node ● Divided into resource groups ● Requires clustered lvm: clvmd/lvmlockd ● Userspace tools: gfs2-utils 22 Not-so-recent developments ● Full SELinux support (linux 4.5) ● Previously no way to tell other nodes that cached labels are invalid ● Workaround was to mount with -o context=<label> ● Relabeling now causes security label invalidation across cluster 33 Not-so-recent developments ● Resource group stripe alignment (gfs2-utils 3.1.11) ● mkfs.gfs2 tries to align resource groups to RAID stripes where possible ● Uses libblkid topology information to find stripe unit and stripe width values ● Tries to spread resource groups evenly across disks 44 Not-so-recent developments ● Resource group LVBs (linux 3.6) ● -o rgrplvb (all nodes) ● LVBs: data attached to DLM lock requests ● Allows resource group metadata to be cached and transferred with glocks ● Decreases resource group-related I/O 55 Not-so-recent developments ● Location-based readdir cookies (linux 4.5) ● -o loccookie (all nodes) ● Uniqueness required by NFS ● Previously 31 bits of filename hash ● Problem: collisions with large directories (100K+ files) ● Cookies now based on the location of the directory entry within the directory 66 Not-so-recent developments ● gfs_controld is gone (linux 3.3) ● dlm now triggers gfs2 journal recovery via callbacks ● -
Globalfs: a Strongly Consistent Multi-Site File System
GlobalFS: A Strongly Consistent Multi-Site File System Leandro Pacheco Raluca Halalai Valerio Schiavoni University of Lugano University of Neuchatelˆ University of Neuchatelˆ Fernando Pedone Etienne Riviere` Pascal Felber University of Lugano University of Neuchatelˆ University of Neuchatelˆ Abstract consistency, availability, and tolerance to partitions. Our goal is to ensure strongly consistent file system operations This paper introduces GlobalFS, a POSIX-compliant despite node failures, at the price of possibly reduced geographically distributed file system. GlobalFS builds availability in the event of a network partition. Weak on two fundamental building blocks, an atomic multicast consistency is suitable for domain-specific applications group communication abstraction and multiple instances of where programmers can anticipate and provide resolution a single-site data store. We define four execution modes and methods for conflicts, or work with last-writer-wins show how all file system operations can be implemented resolution methods. Our rationale is that for general-purpose with these modes while ensuring strong consistency and services such as a file system, strong consistency is more tolerating failures. We describe the GlobalFS prototype in appropriate as it is both more intuitive for the users and detail and report on an extensive performance assessment. does not require human intervention in case of conflicts. We have deployed GlobalFS across all EC2 regions and Strong consistency requires ordering commands across show that the system scales geographically, providing replicas, which needs coordination among nodes at performance comparable to other state-of-the-art distributed geographically distributed sites (i.e., regions). Designing file systems for local commands and allowing for strongly strongly consistent distributed systems that provide good consistent operations over the whole system. -
Add-Ons for Red Hat Enterprise Linux
DATASHEET ADD-ONS FOR RED HAT ENTERPRISE LINUX WORKLOAD AND MISSION-CRITICAL PLATFORM ENHANCEMENTS In conjunction with Red Hat® Enterprise Linux®, Red Hat offers a portfolio of Add-Ons to extend the features of your Red Hat Enterprise Linux subscription. Add-Ons to Red Hat Enterprise Linux tailor your application environment to suit your particular computing requirements. With increased flexibility and choice, customers can deploy what they need, when they need it. ADD-ON OPTIONS FOR AVAILABILITY MANAGEMENT High Availability Add-On Red Hat’s High Availability Add-On provides on-demand failover services between nodes within a cluster, making applications highly available. The High Availability Add-On supports up to 16 nodes and may be configured for most applications that use customizable agents, as well as for virtual guests. The High Availability Add-On also includes failover support for off-the-shelf applications like Apache, MySQL, and PostgreSQL. When using the High Availability Add-On, a highly available service can fail over from one node to another with no apparent interruption to cluster clients. The High Availability Add-On also ensures data integrity when one cluster node takes over control of a service from another clus- ter node. It achieves this by promptly evicting nodes from the cluster that are deemed to be faulty using a method called “fencing” that prevents data corruption. www.redhat.com DATASHEET ADD-ONS For RED Hat ENterprise LINUX 6 Resilient Storage Add-On Red Hat’s Resilient Storage Add-On enables a shared storage or clustered file system to access the same storage device over a network. -
HP Storageworks Clustered File System Command Line Reference
HP StorageWorks Clustered File System 3.0 Command Line reference guide *392372-001* *392372–001* Part number: 392372–001 First edition: May 2005 Legal and notice information © Copyright 1999-2005 PolyServe, Inc. Portions © 2005 Hewlett-Packard Development Company, L.P. Neither PolyServe, Inc. nor Hewlett-Packard Company makes any warranty of any kind with regard to this material, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Neither PolyServe nor Hewlett-Packard shall be liable for errors contained herein or for incidental or consequential damages in connection with the furnishing, performance, or use of this material. This document contains proprietary information, which is protected by copyright. No part of this document may be photocopied, reproduced, or translated into another language without the prior written consent of Hewlett-Packard. The information is provided “as is” without warranty of any kind and is subject to change without notice. The only warranties for HP products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Neither PolyServe nor HP shall be liable for technical or editorial errors or omissions contained herein. The software this document describes is PolyServe confidential and proprietary. PolyServe and the PolyServe logo are trademarks of PolyServe, Inc. PolyServe Matrix Server contains software covered by the following copyrights and subject to the licenses included in the file thirdpartylicense.pdf, which is included in the PolyServe Matrix Server distribution. Copyright © 1999-2004, The Apache Software Foundation. Copyright © 1992, 1993 Simmule Turner and Rich Salz. -
Veritas Access Administrator's Guide
Veritas Access Administrator's Guide 7.4.2 Linux To be used with the Veritas Access Appliance v7.4.2 (3340) documentation April 2021 Veritas Access Administrator's Guide Last updated: 2021-04-15 Document version: 7.4.2 Rev 5 Legal Notice Copyright © 2018 Veritas Technologies LLC. All rights reserved. Veritas, the Veritas Logo, Veritas InfoScale, and NetBackup are trademarks or registered trademarks of Veritas Technologies LLC or its affiliates in the U.S. and other countries. Other names may be trademarks of their respective owners. This product may contain third-party software for which Veritas is required to provide attribution to the third party (“Third-Party Programs”). Some of the Third-Party Programs are available under open source or free software licenses. The License Agreement accompanying the Software does not alter any rights or obligations you may have under those open source or free software licenses. Refer to the third-party legal notices document accompanying this Veritas product or available at: https://www.veritas.com/licensing/process The product described in this document is distributed under licenses restricting its use, copying, distribution, and decompilation/reverse engineering. No part of this document may be reproduced in any form by any means without prior written authorization of Veritas Technologies LLC and its licensors, if any. THE DOCUMENTATION IS PROVIDED "AS IS" AND ALL EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE DISCLAIMED, EXCEPT TO THE EXTENT THAT SUCH DISCLAIMERS ARE HELD TO BE LEGALLY INVALID. VERITAS TECHNOLOGIES LLC SHALL NOT BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH THE FURNISHING, PERFORMANCE, OR USE OF THIS DOCUMENTATION. -
File Systems and Storage
FILE SYSTEMS AND STORAGE On Making GPFS Truly General DEAN HILDEBRAND AND FRANK SCHMUCK Dean Hildebrand manages the PFS (also called IBM Spectrum Scale) began as a research project Cloud Storage Software team that quickly found its groove supporting high performance comput- at the IBM Almaden Research ing (HPC) applications [1, 2]. Over the last 15 years, GPFS branched Center and is a recognized G expert in the field of distributed out to embrace general file-serving workloads while maintaining its original and parallel file systems. He pioneered pNFS, distributed design. This article gives a brief overview of the origins of numer- demonstrating the feasibility of providing ous features that we and many others at IBM have implemented to make standard and scalable access to any file GPFS a truly general file system. system. He received a BSc degree in computer science from the University of British Columbia Early Days in 1998 and a PhD in computer science from Following its origins as a project focused on high-performance lossless streaming of multi- the University of Michigan in 2007. media video files, GPFS was soon enhanced to support high performance computing (HPC) [email protected] applications, to become the “General Parallel File System.” One of its first large deployments was on ASCI White in 2002—at the time, the fastest supercomputer in the world. This HPC- Frank Schmuck joined IBM focused architecture is described in more detail in a 2002 FAST paper [3], but from the outset Research in 1988 after receiving an important design goal was to support general workloads through a standard POSIX inter- a PhD in computer science face—and live up to the “General” term in the name. -
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 -
A Sense of Time for Node.Js: Timeouts As a Cure for Event Handler Poisoning
A Sense of Time for Node.js: Timeouts as a Cure for Event Handler Poisoning Anonymous Abstract—The software development community has begun to new Denial of Service attack that can be used against EDA- adopt the Event-Driven Architecture (EDA) to provide scalable based services. Our Event Handler Poisoning attack exploits web services. Though the Event-Driven Architecture can offer the most important limited resource in the EDA: the Event better scalability than the One Thread Per Client Architecture, Handlers themselves. its use exposes service providers to a Denial of Service attack that we call Event Handler Poisoning (EHP). The source of the EDA’s scalability is also its Achilles’ heel. Multiplexing unrelated work onto the same thread re- This work is the first to define EHP attacks. After examining EHP vulnerabilities in the popular Node.js EDA framework and duces overhead, but it also moves the burden of time sharing open-source npm modules, we explore various solutions to EHP- out of the thread library or operating system and into the safety. For a practical defense against EHP attacks, we propose application itself. Where OTPCA-based services can rely on Node.cure, which defends a large class of Node.js applications preemptive multitasking to ensure that resources are shared against all known EHP attacks by making timeouts a first-class fairly, using the EDA requires the service to enforce its own member of the JavaScript language and the Node.js framework. cooperative multitasking [89]. An EHP attack identifies a way to defeat the cooperative multitasking used by an EDA-based Our evaluation shows that Node.cure is effective, broadly applicable, and offers strong security guarantees.