Best Available Technologies: External Storage Overview of Opportunities and Impacts November 18, 2015.

Slides:



Advertisements
Similar presentations
Data Storage Solutions Module 1.2. Data Storage Solutions Upon completion of this module, you will be able to: List the common storage media and solutions.
Advertisements

CSCE430/830 Computer Architecture
REDUNDANT ARRAY OF INEXPENSIVE DISCS RAID. What is RAID ? RAID is an acronym for Redundant Array of Independent Drives (or Disks), also known as Redundant.
Copyright 2009 FUJITSU TECHNOLOGY SOLUTIONS PRIMERGY Servers and Windows Server® 2008 R2 Benefit from an efficient, high performance and flexible platform.
Information Means The World.. Enhanced Data Recovery Agenda EDR defined Backup to Disk (DDT) Tape Emulation (Tape Virtualization) Point-in-time Copy Replication.
Chapter 1 and 2 Computer System and Operating System Overview
Implementing ISA Server Caching. Caching Overview ISA Server supports caching as a way to improve the speed of retrieving information from the Internet.
Virtual Memory BY JEMINI ISLAM. What is Virtual Memory Virtual memory is a memory management system that gives a computer the appearance of having more.
DNS Arrow Virtualisation and the business opportunity it presents. Steve Pearce Managing Director.
© 2008 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice HP StorageWorks LeftHand update Marcus.
Barracuda Networks Confidential1 Barracuda Backup Service Integrated Local & Offsite Data Backup.
Exchange 2010 Project Presentation/Discussion August 12, 2015 Project Team: Mark Dougherty – Design John Ditto – Project Manager Joel Eussen – Project.
Secondary Storage Unit 013: Systems Architecture Workbook: Secondary Storage 1G.
Internet Business Strategies A strategic view of the various options and connectivity levels available to business through the Internet. Copyright 2011.
Microsoft ® Application Virtualization 4.6 Infrastructure Planning and Design Published: September 2008 Updated: February 2010.
70-293: MCSE Guide to Planning a Microsoft Windows Server 2003 Network, Enhanced Chapter 14: Problem Recovery.
Usage Centric Green Metrics for Storage Doron Chen, Ealan Henis, Ronen Kat and Dmitry Sotnikov IBM Haifa Research Lab Most of the metrics defined today.
Virtual Memory Tuning   You can improve a server’s performance by optimizing the way the paging file is used   You may want to size the paging file.
Data Deduplication in Virtualized Environments Marc Crespi, ExaGrid Systems
November 2009 Network Disaster Recovery October 2014.
Chapter 1 SUPPLY CHAIN MANAGEMENT: An Overview. ©2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a.
Storage Allocation in Prefetching Techniques of Web Caches D. Zeng, F. Wang, S. Ram Appeared in proceedings of ACM conference in Electronic commerce (EC’03)
Computing Hardware Starter.
Lecture 9 of Advanced Databases Storage and File Structure (Part II) Instructor: Mr.Ahmed Al Astal.
PARAID: The Gear-Shifting Power-Aware RAID Charles Weddle, Mathew Oldham, An-I Andy Wang – Florida State University Peter Reiher – University of California,
Exploiting Flash for Energy Efficient Disk Arrays Shimin Chen (Intel Labs) Panos K. Chrysanthis (University of Pittsburgh) Alexandros Labrinidis (University.
Virtualization. Virtualization  In computing, virtualization is a broad term that refers to the abstraction of computer resources  It is "a technique.
Chapter 1 Computer System Overview Dave Bremer Otago Polytechnic, N.Z. ©2008, Prentice Hall Operating Systems: Internals and Design Principles, 6/E William.
Chapter 8 Implementing Disaster Recovery and High Availability Hands-On Virtual Computing.
Meeting the Data Protection Demands of a 24x7 Economy Steve Morihiro VP, Programs & Technology Quantum Storage Solutions Group
NYS Forum IT Greening Workgroup Thin Client Devices DHCR Experience with Virtual Desktops June 12, 2010.
Copyright © 2011 EMC Corporation. All Rights Reserved. MODULE – 6 VIRTUALIZED DATA CENTER – DESKTOP AND APPLICATION 1.
CHAPTER 2: COMPUTER-SYSTEM STRUCTURES Computer system operation Computer system operation I/O structure I/O structure Storage structure Storage structure.
Electronic Records Management: A Checklist for Success Jesse Wilkins April 15, 2009.
Storage Technologies II Lecture 6 Storage Technologies II Md. Mahbubul Alam, PhD PRESENTED BY MD. MAHBUBUL ALAM, PHD 1.
Tag line, tag line Power Management in Storage Systems Kaladhar Voruganti Technical Director CTO Office, Sunnyvale June 12, 2009.
Solid State Disks Members: Rakesh Dudi Tianhao Sun Timothy Wease.
Neil Sanderson 24 October, Early days for virtualisation Virtualization Adoption x86 servers used for virtualization Virtualization adoption.
Introduction to DFS. Distributed File Systems A file system whose clients, servers and storage devices are dispersed among the machines of a distributed.
"1"1 Introduction to Managing Data " Describe problems associated with managing large numbers of disks " List requirements for easily managing large amounts.
Server Virtualization
Data Replication and Power Consumption in Data Grids Susan V. Vrbsky, Ming Lei, Karl Smith and Jeff Byrd Department of Computer Science The University.
© GCSE Computing Computing Hardware Starter. Creating a spreadsheet to demonstrate the size of memory. 1 byte = 1 character or about 1 pixel of information.
 The End to the Means › (According to IBM ) › 03.ibm.com/innovation/us/thesmartercity/in dex_flash.html?cmp=blank&cm=v&csr=chap ter_edu&cr=youtube&ct=usbrv111&cn=agus.
The Green Grid’s Data Center Maturity Model November 18, 2015.
PRESENTATION TITLE GOES HERE SNIA Emerald™ COM benefits – some initial data.
CHAPTER 7 CLUSTERING SERVERS. CLUSTERING TYPES There are 2 types of clustering ; Server clusters Network Load Balancing (NLB) The difference between the.
1 Copyright © 2005, Oracle. All rights reserved. Following a Tuning Methodology.
1 IEEE interim, Orlando, Florida, March, 2008new-nfinn-fast-chains-rings-par5c-0308-v1 Fast Recovery for Chains and Rings Proposal for PAR and 5.
Tackling I/O Issues 1 David Race 16 March 2010.
Solving Today’s Data Protection Challenges with NSB 1.
1EMC CONFIDENTIAL—INTERNAL USE ONLY Recovery Check FAQs Ibrahim Shamel.
1 بسم الله الرحمن الرحيم MEMORY AND I/O. Introduction to 8086 Microprocessor 8086 Pin Configuration Pin Configuration 8086 Architecture & Modes 2.
Open-E Data Storage Software (DSS V6)
Chapter 10: Mass-Storage Systems
Integrating Disk into Backup for Faster Restores
Microsoft® System Center Virtual Machine Manager 2008
Data Center Infrastructure
Green cloud computing 2 Cs 595 Lecture 15.
Introduction To Computers
Introduction to Networks
Storage Virtualization
Direct Attached Storage and Introduction to SCSI
Real IBM C exam questions and answers
RAID RAID Mukesh N Tekwani
UNIT IV RAID.
Specialized Cloud Architectures
RAID RAID Mukesh N Tekwani April 23, 2019
Microsoft Virtual Academy
Presentation transcript:

Best Available Technologies: External Storage Overview of Opportunities and Impacts November 18, 2015

Copyright © 2015, The Green Grid Energy Savings: Background When examining external storage energy savings opportunities it is important to note –Product usage accounts for the vast bulk of energy consumption From 80% - >90%, depending on configuration –Since a storage product is shared by multiple applications and servers, it can be difficult to judge whether there is user demand on the device –Drive and data hygiene functions execute when user demand is low, to avoid performance losses, significantly reducing potential “idle” time Reducing the number of drives (spinning or solid state) directly reduces the energy consumed

Copyright © 2015, The Green Grid The Role of Disk Drives The dominant consumers of energy when a storage system is in use are the HDDs and SSDs HDD power draw is driven by their rotational speed, not their capacity; thus high performance drives draw far more power than very high capacity drives SSDs draw power whenever they read or write, but they draw less power than fast HDDs because less capacity is required to achieve performance than with the fastest HDDs

Copyright © 2015, The Green Grid Best Available Technologies The best (largest) energy savings for storage systems is to use less storage. This may seem contradictory, since more data is being created daily. Several techniques exist that can radically reduce the number of HDDs/SSDs deployed without compromising the needs of the clients These technologies are all relatively early in their adoption cycles, and thus are under-deployed The next several slides discuss the best ways to minimize the number of physical instances of HDDs and SSDs deployed in any storage system

Copyright © 2015, The Green Grid Best Energy Savings for Disks Capacity Optimization Methods (COMs) are software techniques that allow more data to be stored (less media to be used) than would be possible with older techniques. Thin Provisioning: Virtualizes allocation of storage so applications believe they have all they need, while only a fraction is present. Deduplication: Elimination of duplicate files or data chunks from one or more files, while maintaining integrity of all records. Compression: Reduction of data sets (often within files) to reduce the number of bits stored while still presenting the original data RAID5/6, Erasure Encoding: Methods for improving data integrity without using full data copies; savings range from 70%-90% based on technique Delta Snap-shots: Method to allow reconstruction of different versions of a file without multiple full copies.

Copyright © 2015, The Green Grid Auto-Tiering Data used by applications has patterns of use that reflect its immediacy for business purposes. By seamlessly migrating that data to less performant (energy-intensive) media as the pattern of use changes, the need for increasing amounts of high-performance storage can be greatly reduced. Auto-Tiering makes this migration invisible to applications, and is configured to reflect policy decisions appropriate for each application. Auto-Tiering maintains business value while reducing the energy burden of storage for each application. Copyright © 2013, The Green Grid

Copyright © 2015, The Green Grid Why Idle Really Isn’t Two methods of “idling” storage systems are often proposed –Spinning down some or all of the disk drives when not in use –“Sleeping” the controllers that speak to the storage network There are several technical issues that interfere with the purpose and operation of external storage systems, precluding the use of these approaches

Copyright © 2015, The Green Grid Drive Spin-down Storage systems are shared among multiple servers and applications. Storage systems cannot determine if each application or server is still operating, nor when the next I/O request will be made. The drives in each system are rarely dedicated to a single application; if contact is lost with a specific application or server, it is not possible to determine when the next request will occur. The time to return a drive to operating speed is measured in minutes. A new I/O request will consider a drive to be off-line if the data transfer does not occur in a matter of milliseconds, interfering with the application in use. To date, there have not been significant adoption of “spin-slow” drives due to the difficulties in identifying which drives to slow, as well as the limited availability of such drives.

Copyright © 2015, The Green Grid “Sleeping Controllers” The controllers on a storage system consume far less energy than the drives, so the savings from this would be much smaller. As discussed on the last slide, the response times required by applications are very narrow, and the number of applications addressing each storage system can vary. For these reasons, storage systems are not good candidates for “network standby” conditions, which would result in application failures

Copyright © 2015, The Green Grid Technology Adoption & Innovation Storage technology is continuing to innovate new ways to reduce the impact of both the growth of data and storing it. –It is important to avoid regulating in ways that could limit new discoveries As innovations are brought to market, data center operators will need time to vet them for reliability and savings prior to full-scale implementation in the majority of installations. Other innovations in storage systems may be forthcoming in the areas of improvements in connectivity bandwidth. While these may cause some increase in energy use, they will provide the benefit of increased data transfer per watt where the connection has been the limiting factor. Copyright © 2013, The Green Grid