BankShot Caching Slow Storage In Fast NVM

Size: px
Start display at page:

Download "BankShot Caching Slow Storage In Fast NVM"

Transcription

1 BankShot Caching Slow Storage In Fast NVM Meenakshi Sundaram Bhaskaran, Jian Xu, Steven Swanson Non-volatile Systems Laboratory Department of Computer Science and Engineering University of California, San Diego 1

2 Overview Motivation System Overview Design Options Evaluation 2

3 Technology Trend Memristor PCM STT- RAM DRAM Flash HDD Density (F2) < /3 Read Time (ns) < , x10 6 Write (ns) ~ , x10 6 Endurance > Source: Yang, J Joshua, Dmitri B Strukov, and Duncan R Stewart. "Memristive Devices for Computing." Nature nanotechnology 8, no. 1 (2013): doi: /nnano , 3

4 Big Data World s Server processed 9 Zettabytes of data in 2008 hmi.ucsd.edu Over half a petabyte of new data arrives in the warehouse every 24 hour - Facebook Google processes over 20 petabyte of data per day arstechnica.com 82 per cent of traffic was focused on just 8 per cent of photos - Facebook Emerging NVM are most suitable as a persistent cache for larger conventional storage 4

5 Cache Hierarchy System Design A cache manager in kernel lookup, Allocation eviction OS provides Set protection Mediate sharing file Application file file Application reads/writes files using POSIX calls Userspace OS File System Cache Layer Maintains disk to cache mapping Block Layer Queues to access Disk and cache NVM Disk 5

6 SW & OS Overhead 4KB Cache hit Kernel + FS: 10.7us The Cache layer + Meta data persist: 21.2us PCM: 8us Software overhead obscures performance benefits of using Emerging NVM as Cache file Application file Application reads/writes files using POSIX calls Userspace OS File System Cache Layer Maintains disk to cache mapping Block Layer Queues to access Disk and cache NVM file Disk 6

7 Overview Motivation Bankshot System Overview Design Options Evaluation 7

8 Bankshot Caching System for Emerging NVM No OS overhead on cache hits Cache hits serviced by user-space Write back caching Specialized hardware to recover from crash File System Awareness File extents and not disk blocks. Efficient write back Asynchronous Write back optimized for backing store Data Usage Tracking Hardware support for tracking cache usage 8

9 Bankshot System Stack Application file file Cache Library Cache Hit Userspace Kernel File System system reads/writes Cache Miss Cache Manager Device Driver Fig 4: Bankshot System stack Disk NVM 9

10 Bankshot NVM NVM Virtualized interface & permission check Provides Safe User space access Controller & LRU Unit Cache Specific logic Request Queues & DMA Efficient data path 10

11 Cache Manager Exposes a write back cache Service miss Queries file system for File extents File permissions File System Performs cache evictions Writes back dirty data Application Cache Library Cache Manager Disk NVM 11

12 Cache Library Transparently intercept FS calls POSIX compatibility Translate file offsets to cache locations Issue and complete hardware requests File System Application Cache Library Cache Manager Disk NVM 12

13 Cache Miss - Write Write (fd, 100) Application file file Cache Library Logical - map Miss File System Cache Manager Miss Physical - map Device Driver Disk NVM Write Data, Add Permission 13

14 Cache Hit Write (fd, 100) Application file file Cache Library Logical - map Hit File System Cache Manager Physical - map Device Driver Data Write Disk NVM 14

15 Overview Motivation System Overview Design Options Recovery Dirty Data Tracking Replacement Policy Evaluation 15

16 Cache Recovery Persist cache map for durability Software: Requires extra IO Hardware: Latency (us) Latency breakdown - 4KB cache miss HW stores map atomically 0 SW Meta data IO OS/FS SW-Metadata HW Meta data User Lookup/Insert Persist-Metadata 16

17 Dirty Data Tracking - Cache Organization Fully associative File A File B Divided into 4KB blocks 2048 Blocks = 1 Chunk 0 q*2048 n*2048 chunks map to file Allows Sharing Units of protection 2047 Chunk 0 Chunk q Fig 5: Cache organization Chunk n 17

18 Dirty Data Tracking Software Per chunk tracking Set on write to a block in chunk Hardware Per 4KB block tracking Set on application write Queried by cache manager Hybrid Combines hardware & software dirty Software Dirty Cache Manager Chunk 0 Chunk q Chunk n Hardware Dirty q*2048 n*2048 Chunk 0 Chunk q Chunk n 18

19 Dirty Data Tracking HW Dirty 8us to read dirty bit for a chunk Hybrid scheme IO to NVM only for dirty chunks Disk IO to write back takes several ms Latency (us) Latency breakdown to query chunk dirty bit HW Meta Data + SW Dirty Hardware Dirty Check HW Meta Data + HW Dirty SW 19

20 Replacement Policies FIFO Simple software only scheme Chunks evicted in order of allocation LRU Hardware tracks recency of access to chunks Cache manager queries HW for LRU chunk Improves hit ratio IO takes only 5us 20

21 Overview Motivation System Overview Design Options Evaluation 21

22 Bankshot Prototype BEE3 FPGA platform PCIe 1.1 x8, 2GB/s full duplex 64GB of emulated PCM Intel x86-64 Linux kernel Adrian M. Caulfield, Arup De, Joel Coburn, Todor I. Mollow, Rajesh K. Gupta, and Steven Swanson Moneta: A High- Performance Storage Array Architecture for Next-Generation, Non-volatile Memories. In Proceedings of the rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '43). IEEE Computer Society, Washington, DC, USA, Adrian M. Caulfield, Todor I. Mollov, Louis Alex Eisner, Arup De, Joel Coburn, and Steven Swanson Providing safe, user space access to fast, solid state disks. In Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS XVII). ACM, New York, NY, USA,

23 Evaluation 4KB Cache hit latency Bankshot improves Write latency by 4x Read latency by 1.5x 23

24 Application Performance Speedup Application Speedup with 2GB cache Hash Btree FlashCache SW Dirty + FIFO Replacement SW Dirty +LRU replacement HW Dirty +LRU replacement Hybrid Dirty +LRU replacement 24

25 Conclusion Eliminate OS/FS interactions Reduces SW Overhead for hits to ~1us Intelligent hardware ability to track dirty bit Store mapping information durably Virtualized interface 25

26 Thank You 26

Providing Safe, User Space Access to Fast, Solid State Disks. Adrian Caulfield, Todor Mollov, Louis Eisner, Arup De, Joel Coburn, Steven Swanson

Providing Safe, User Space Access to Fast, Solid State Disks. Adrian Caulfield, Todor Mollov, Louis Eisner, Arup De, Joel Coburn, Steven Swanson Moneta-Direct: Providing Safe, User Space Access to Fast, Solid State Disks Adrian Caulfield, Todor Mollov, Louis Eisner, Arup De, Joel Coburn, Steven Swanson Non-volatile Systems Laboratory Department

More information

A Study of Application Performance with Non-Volatile Main Memory

A Study of Application Performance with Non-Volatile Main Memory A Study of Application Performance with Non-Volatile Main Memory Yiying Zhang, Steven Swanson 2 Memory Storage Fast Slow Volatile In bytes Persistent In blocks Next-Generation Non-Volatile Memory (NVM)

More information

UNIVERSITY OF CALIFORNIA, SAN DIEGO. Moneta: A Storage System for Fast Non-Volatile Memories

UNIVERSITY OF CALIFORNIA, SAN DIEGO. Moneta: A Storage System for Fast Non-Volatile Memories UNIVERSITY OF CALIFORNIA, SAN DIEGO Moneta: A Storage System for Fast Non-Volatile Memories A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in

More information

NV-Heaps: Making Persistent Objects Fast and Safe with Next-Generation, Non-Volatile Memories Joel Coburn

NV-Heaps: Making Persistent Objects Fast and Safe with Next-Generation, Non-Volatile Memories Joel Coburn NV-Heaps: Making Persistent Objects Fast and Safe with Next-Generation, Non-Volatile Memories Joel Coburn Work done at UCSD with Adrian M. Caulfield, Ameen Akel, Laura M. Grupp, Rajesh K. Gupta, Ranjit

More information

Implementation of Buffer Cache Simulator for Hybrid Main Memory and Flash Memory Storages

Implementation of Buffer Cache Simulator for Hybrid Main Memory and Flash Memory Storages Implementation of Buffer Cache Simulator for Hybrid Main Memory and Flash Memory Storages Soohyun Yang and Yeonseung Ryu Department of Computer Engineering, Myongji University Yongin, Gyeonggi-do, Korea

More information

Solid State Storage in Massive Data Environments Erik Eyberg

Solid State Storage in Massive Data Environments Erik Eyberg Solid State Storage in Massive Data Environments Erik Eyberg Senior Analyst Texas Memory Systems, Inc. Agenda Taxonomy Performance Considerations Reliability Considerations Q&A Solid State Storage Taxonomy

More information

FAST 11. Yongseok Oh <ysoh@uos.ac.kr> University of Seoul. Mobile Embedded System Laboratory

FAST 11. Yongseok Oh <ysoh@uos.ac.kr> University of Seoul. Mobile Embedded System Laboratory CAFTL: A Content-Aware Flash Translation Layer Enhancing the Lifespan of flash Memory based Solid State Drives FAST 11 Yongseok Oh University of Seoul Mobile Embedded System Laboratory

More information

The Classical Architecture. Storage 1 / 36

The Classical Architecture. Storage 1 / 36 1 / 36 The Problem Application Data? Filesystem Logical Drive Physical Drive 2 / 36 Requirements There are different classes of requirements: Data Independence application is shielded from physical storage

More information

Datacenter Operating Systems

Datacenter Operating Systems Datacenter Operating Systems CSE451 Simon Peter With thanks to Timothy Roscoe (ETH Zurich) Autumn 2015 This Lecture What s a datacenter Why datacenters Types of datacenters Hyperscale datacenters Major

More information

Storage Class Memory Support in the Windows Operating System Neal Christiansen Principal Development Lead Microsoft nealch@microsoft.

Storage Class Memory Support in the Windows Operating System Neal Christiansen Principal Development Lead Microsoft nealch@microsoft. Storage Class Memory Support in the Windows Operating System Neal Christiansen Principal Development Lead Microsoft nealch@microsoft.com What is Storage Class Memory? Paradigm Shift: A non-volatile storage

More information

Taking Linux File and Storage Systems into the Future. Ric Wheeler Director Kernel File and Storage Team Red Hat, Incorporated

Taking Linux File and Storage Systems into the Future. Ric Wheeler Director Kernel File and Storage Team Red Hat, Incorporated Taking Linux File and Storage Systems into the Future Ric Wheeler Director Kernel File and Storage Team Red Hat, Incorporated 1 Overview Going Bigger Going Faster Support for New Hardware Current Areas

More information

An Overview of Flash Storage for Databases

An Overview of Flash Storage for Databases An Overview of Flash Storage for Databases Vadim Tkachenko Morgan Tocker http://percona.com MySQL CE Apr 2010 -2- Introduction Vadim Tkachenko Percona Inc, CTO and Lead of Development Morgan Tocker Percona

More information

Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software

Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software WHITEPAPER Accelerating Enterprise Applications and Reducing TCO with SanDisk ZetaScale Software SanDisk ZetaScale software unlocks the full benefits of flash for In-Memory Compute and NoSQL applications

More information

An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator

An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator Pavan Konanki Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment

More information

Accelerating I/O- Intensive Applications in IT Infrastructure with Innodisk FlexiArray Flash Appliance. Alex Ho, Product Manager Innodisk Corporation

Accelerating I/O- Intensive Applications in IT Infrastructure with Innodisk FlexiArray Flash Appliance. Alex Ho, Product Manager Innodisk Corporation Accelerating I/O- Intensive Applications in IT Infrastructure with Innodisk FlexiArray Flash Appliance Alex Ho, Product Manager Innodisk Corporation Outline Innodisk Introduction Industry Trend & Challenge

More information

Databases Acceleration with Non Volatile Memory File System (NVMFS) PRESENTATION TITLE GOES HERE Saeed Raja SanDisk Inc.

Databases Acceleration with Non Volatile Memory File System (NVMFS) PRESENTATION TITLE GOES HERE Saeed Raja SanDisk Inc. bases Acceleration with Non Volatile Memory File System (NVMFS) PRESENTATION TITLE GOES HERE Saeed Raja SanDisk Inc. MySQL? Widely used Open Source Relational base Management System (RDBMS) Popular choice

More information

FlashTier: a Lightweight, Consistent and Durable Storage Cache

FlashTier: a Lightweight, Consistent and Durable Storage Cache FlashTier: a Lightweight, Consistent and Durable Storage Cache Mohit Saxena, Michael M. Swift and Yiying Zhang University of Wisconsin-Madison {msaxena,swift,yyzhang}@cs.wisc.edu Abstract The availability

More information

Scaling from Datacenter to Client

Scaling from Datacenter to Client Scaling from Datacenter to Client KeunSoo Jo Sr. Manager Memory Product Planning Samsung Semiconductor Audio-Visual Sponsor Outline SSD Market Overview & Trends - Enterprise What brought us to NVMe Technology

More information

Flash for Databases. September 22, 2015 Peter Zaitsev Percona

Flash for Databases. September 22, 2015 Peter Zaitsev Percona Flash for Databases September 22, 2015 Peter Zaitsev Percona In this Presentation Flash technology overview Review some of the available technology What does this mean for databases? Specific opportunities

More information

A PRAM and NAND Flash Hybrid Architecture for High-Performance Embedded Storage Subsystems

A PRAM and NAND Flash Hybrid Architecture for High-Performance Embedded Storage Subsystems 1 A PRAM and NAND Flash Hybrid Architecture for High-Performance Embedded Storage Subsystems Chul Lee Software Laboratory Samsung Advanced Institute of Technology Samsung Electronics Outline 2 Background

More information

RAMCloud and the Low- Latency Datacenter. John Ousterhout Stanford University

RAMCloud and the Low- Latency Datacenter. John Ousterhout Stanford University RAMCloud and the Low- Latency Datacenter John Ousterhout Stanford University Most important driver for innovation in computer systems: Rise of the datacenter Phase 1: large scale Phase 2: low latency Introduction

More information

IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME?

IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME? IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME? EMC and Intel work with multiple in-memory solutions to make your databases fly Thanks to cheaper random access memory (RAM) and improved technology,

More information

Non Volatile Memory Invades the Memory Bus: Performance and Versatility is the Result

Non Volatile Memory Invades the Memory Bus: Performance and Versatility is the Result Non Volatile Memory Invades the Memory Bus: Performance and Versatility is the Result A discussion on why and how Non Volatile Memory is moving onto the DDR bus and what it means for the industry, as well

More information

File System Management

File System Management Lecture 7: Storage Management File System Management Contents Non volatile memory Tape, HDD, SSD Files & File System Interface Directories & their Organization File System Implementation Disk Space Allocation

More information

A Close Look at PCI Express SSDs. Shirish Jamthe Director of System Engineering Virident Systems, Inc. August 2011

A Close Look at PCI Express SSDs. Shirish Jamthe Director of System Engineering Virident Systems, Inc. August 2011 A Close Look at PCI Express SSDs Shirish Jamthe Director of System Engineering Virident Systems, Inc. August 2011 Macro Datacenter Trends Key driver: Information Processing Data Footprint (PB) CAGR: 100%

More information

Promise of Low-Latency Stable Storage for Enterprise Solutions

Promise of Low-Latency Stable Storage for Enterprise Solutions Promise of Low-Latency Stable Storage for Enterprise Solutions Janet Wu Principal Software Engineer Oracle janet.wu@oracle.com Santa Clara, CA 1 Latency Sensitive Applications Sample Real-Time Use Cases

More information

Direct NFS - Design considerations for next-gen NAS appliances optimized for database workloads Akshay Shah Gurmeet Goindi Oracle

Direct NFS - Design considerations for next-gen NAS appliances optimized for database workloads Akshay Shah Gurmeet Goindi Oracle Direct NFS - Design considerations for next-gen NAS appliances optimized for database workloads Akshay Shah Gurmeet Goindi Oracle Agenda Introduction Database Architecture Direct NFS Client NFS Server

More information

COS 318: Operating Systems. Virtual Memory and Address Translation

COS 318: Operating Systems. Virtual Memory and Address Translation COS 318: Operating Systems Virtual Memory and Address Translation Today s Topics Midterm Results Virtual Memory Virtualization Protection Address Translation Base and bound Segmentation Paging Translation

More information

Why are state-of-the-art flash-based multi-tiered storage systems performing poorly for HTTP video streaming?

Why are state-of-the-art flash-based multi-tiered storage systems performing poorly for HTTP video streaming? Why are state-of-the-art flash-based multi-tiered storage systems performing poorly for HTTP video streaming? Moonkyung Ryu Hyojun Kim Umakishore Ramachandran Georgia Institute of Technology Contents Background

More information

Computer Engineering and Systems Group Electrical and Computer Engineering SCMFS: A File System for Storage Class Memory

Computer Engineering and Systems Group Electrical and Computer Engineering SCMFS: A File System for Storage Class Memory SCMFS: A File System for Storage Class Memory Xiaojian Wu, Narasimha Reddy Texas A&M University What is SCM? Storage Class Memory Byte-addressable, like DRAM Non-volatile, persistent storage Example: Phase

More information

Eloquence Training What s new in Eloquence B.08.00

Eloquence Training What s new in Eloquence B.08.00 Eloquence Training What s new in Eloquence B.08.00 2010 Marxmeier Software AG Rev:100727 Overview Released December 2008 Supported until November 2013 Supports 32-bit and 64-bit platforms HP-UX Itanium

More information

Intel DPDK Boosts Server Appliance Performance White Paper

Intel DPDK Boosts Server Appliance Performance White Paper Intel DPDK Boosts Server Appliance Performance Intel DPDK Boosts Server Appliance Performance Introduction As network speeds increase to 40G and above, both in the enterprise and data center, the bottlenecks

More information

Indexing on Solid State Drives based on Flash Memory

Indexing on Solid State Drives based on Flash Memory Indexing on Solid State Drives based on Flash Memory Florian Keusch MASTER S THESIS Systems Group Department of Computer Science ETH Zurich http://www.systems.ethz.ch/ September 2008 - March 2009 Supervised

More information

Network Virtualization Technologies and their Effect on Performance

Network Virtualization Technologies and their Effect on Performance Network Virtualization Technologies and their Effect on Performance Dror Goldenberg VP Software Architecture TCE NFV Winter School 2015 Cloud Computing and NFV Cloud - scalable computing resources (CPU,

More information

Speeding Up Cloud/Server Applications Using Flash Memory

Speeding Up Cloud/Server Applications Using Flash Memory Speeding Up Cloud/Server Applications Using Flash Memory Sudipta Sengupta Microsoft Research, Redmond, WA, USA Contains work that is joint with B. Debnath (Univ. of Minnesota) and J. Li (Microsoft Research,

More information

Sistemas Operativos: Input/Output Disks

Sistemas Operativos: Input/Output Disks Sistemas Operativos: Input/Output Disks Pedro F. Souto (pfs@fe.up.pt) April 28, 2012 Topics Magnetic Disks RAID Solid State Disks Topics Magnetic Disks RAID Solid State Disks Magnetic Disk Construction

More information

Board Notes on Virtual Memory

Board Notes on Virtual Memory Board Notes on Virtual Memory Part A: Why Virtual Memory? - Letʼs user program size exceed the size of the physical address space - Supports protection o Donʼt know which program might share memory at

More information

DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION

DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION A DIABLO WHITE PAPER AUGUST 2014 Ricky Trigalo Director of Business Development Virtualization, Diablo Technologies

More information

Why Hybrid Storage Strategies Give the Best Bang for the Buck

Why Hybrid Storage Strategies Give the Best Bang for the Buck JANUARY 28, 2014, SAN JOSE, CA Tom Coughlin, Coughlin Associates & Jim Handy, Objective Analysis PRESENTATION TITLE GOES HERE Why Hybrid Storage Strategies Give the Best Bang for the Buck 1 Outline Different

More information

Chapter 11 I/O Management and Disk Scheduling

Chapter 11 I/O Management and Disk Scheduling Operating Systems: Internals and Design Principles, 6/E William Stallings Chapter 11 I/O Management and Disk Scheduling Dave Bremer Otago Polytechnic, NZ 2008, Prentice Hall I/O Devices Roadmap Organization

More information

NV-DIMM: Fastest Tier in Your Storage Strategy

NV-DIMM: Fastest Tier in Your Storage Strategy NV-DIMM: Fastest Tier in Your Storage Strategy Introducing ArxCis-NV, a Non-Volatile DIMM Author: Adrian Proctor, Viking Technology [email: adrian.proctor@vikingtechnology.com] This paper reviews how Non-Volatile

More information

Minerva: Accelerating Data Analysis in Next-Generation SSDs

Minerva: Accelerating Data Analysis in Next-Generation SSDs Minerva: Accelerating Data Analysis in Next-Generation SSDs Arup De Maya Gokhale Rajesh Gupta Steven Swanson Department of Computer Science and Engineering University of California, San Diego {arde,rgupta,swanson@eng.ucsd.edu

More information

A Novel Way of Deduplication Approach for Cloud Backup Services Using Block Index Caching Technique

A Novel Way of Deduplication Approach for Cloud Backup Services Using Block Index Caching Technique A Novel Way of Deduplication Approach for Cloud Backup Services Using Block Index Caching Technique Jyoti Malhotra 1,Priya Ghyare 2 Associate Professor, Dept. of Information Technology, MIT College of

More information

Lecture 17: Virtual Memory II. Goals of virtual memory

Lecture 17: Virtual Memory II. Goals of virtual memory Lecture 17: Virtual Memory II Last Lecture: Introduction to virtual memory Today Review and continue virtual memory discussion Lecture 17 1 Goals of virtual memory Make it appear as if each process has:

More information

The Data Placement Challenge

The Data Placement Challenge The Data Placement Challenge Entire Dataset Applications Active Data Lowest $/IOP Highest throughput Lowest latency 10-20% Right Place Right Cost Right Time 100% 2 2 What s Driving the AST Discussion?

More information

Dualog Connection Suite Hardware and Software Requirements

Dualog Connection Suite Hardware and Software Requirements Dualog Connection Suite Hardware and Software Requirements Author Kristian Olsen Date 29.Mar 2012 Description Revision Number 2.0 Environmental requirements and recommendations running Dualog Connection

More information

Survey of Filesystems for Embedded Linux. Presented by Gene Sally CELF

Survey of Filesystems for Embedded Linux. Presented by Gene Sally CELF Survey of Filesystems for Embedded Linux Presented by Gene Sally CELF Presentation Filesystems In Summary What is a filesystem Kernel and User space filesystems Picking a root filesystem Filesystem Round-up

More information

Introduction Disks RAID Tertiary storage. Mass Storage. CMSC 412, University of Maryland. Guest lecturer: David Hovemeyer.

Introduction Disks RAID Tertiary storage. Mass Storage. CMSC 412, University of Maryland. Guest lecturer: David Hovemeyer. Guest lecturer: David Hovemeyer November 15, 2004 The memory hierarchy Red = Level Access time Capacity Features Registers nanoseconds 100s of bytes fixed Cache nanoseconds 1-2 MB fixed RAM nanoseconds

More information

NV-Hypervisor: Hypervisor-based Persistence for Virtual Machines

NV-Hypervisor: Hypervisor-based Persistence for Virtual Machines NV-Hypervisor: Hypervisor-based Persistence for Virtual Machines Vasily A. Sartakov TU Braunschweig sartakov@ibr.cs.tu-bs.de Rüdiger Kapitza TU Braunschweig rrkapitz@ibr.cs.tu-bs.de Abstract Power outages

More information

Virtual Hosting & Virtual Machines

Virtual Hosting & Virtual Machines & Virtual Machines Coleman Kane Coleman.Kane@ge.com September 2, 2014 Cyber Defense Overview / Machines 1 / 17 Similar to the network partitioning schemes described previously, there exist a menu of options

More information

Recovery Protocols For Flash File Systems

Recovery Protocols For Flash File Systems Recovery Protocols For Flash File Systems Ravi Tandon and Gautam Barua Indian Institute of Technology Guwahati, Department of Computer Science and Engineering, Guwahati - 781039, Assam, India {r.tandon}@alumni.iitg.ernet.in

More information

Data Storage Framework on Flash Memory using Object-based Storage Model

Data Storage Framework on Flash Memory using Object-based Storage Model 2011 International Conference on Computer Science and Information Technology (ICCSIT 2011) IPCSIT vol. 51 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V51. 118 Data Storage Framework

More information

Gigabit Ethernet Design

Gigabit Ethernet Design Gigabit Ethernet Design Laura Jeanne Knapp Network Consultant 1-919-254-8801 laura@lauraknapp.com www.lauraknapp.com Tom Hadley Network Consultant 1-919-301-3052 tmhadley@us.ibm.com HSEdes_ 010 ed and

More information

Secure Cloud Storage and Computing Using Reconfigurable Hardware

Secure Cloud Storage and Computing Using Reconfigurable Hardware Secure Cloud Storage and Computing Using Reconfigurable Hardware Victor Costan, Brandon Cho, Srini Devadas Motivation Computing is more cost-efficient in public clouds but what about security? Cloud Applications

More information

Tempesta FW. Alexander Krizhanovsky NatSys Lab. ak@natsys-lab.com

Tempesta FW. Alexander Krizhanovsky NatSys Lab. ak@natsys-lab.com Tempesta FW Alexander Krizhanovsky NatSys Lab. ak@natsys-lab.com What Tempesta FW Is? FireWall: layer 3 (IP) layer 7 (HTTP) filter FrameWork: high performance and flexible platform to build intelligent

More information

Implications of Storage Class Memories (SCM) on Software Architectures

Implications of Storage Class Memories (SCM) on Software Architectures Implications of Storage Class Memories (SCM) on Software Architectures C. Mohan, IBM Almaden Research Center, San Jose mohan@almaden.ibm.com http://www.almaden.ibm.com/u/mohan Suparna Bhattacharya, IBM

More information

MS EXCHANGE SERVER ACCELERATION IN VMWARE ENVIRONMENTS WITH SANRAD VXL

MS EXCHANGE SERVER ACCELERATION IN VMWARE ENVIRONMENTS WITH SANRAD VXL MS EXCHANGE SERVER ACCELERATION IN VMWARE ENVIRONMENTS WITH SANRAD VXL Dr. Allon Cohen Eli Ben Namer info@sanrad.com 1 EXECUTIVE SUMMARY SANRAD VXL provides enterprise class acceleration for virtualized

More information

89 Fifth Avenue, 7th Floor. New York, NY 10003. www.theedison.com 212.367.7400. White Paper. HP 3PAR Adaptive Flash Cache: A Competitive Comparison

89 Fifth Avenue, 7th Floor. New York, NY 10003. www.theedison.com 212.367.7400. White Paper. HP 3PAR Adaptive Flash Cache: A Competitive Comparison 89 Fifth Avenue, 7th Floor New York, NY 10003 www.theedison.com 212.367.7400 White Paper HP 3PAR Adaptive Flash Cache: A Competitive Comparison Printed in the United States of America Copyright 2014 Edison

More information

Networking Virtualization Using FPGAs

Networking Virtualization Using FPGAs Networking Virtualization Using FPGAs Russell Tessier, Deepak Unnikrishnan, Dong Yin, and Lixin Gao Reconfigurable Computing Group Department of Electrical and Computer Engineering University of Massachusetts,

More information

Server Forum 2014. Copyright 2014 Micron Technology, Inc

Server Forum 2014. Copyright 2014 Micron Technology, Inc DDR4 NVDIMM Standardization: Now and Future Server Forum 2014 Copyright 2014 Micron Technology, Inc NVDIMM Definition One of several Hybrid DIMM versions RDIMM/LRDIMM-like DRAM module with storage memory

More information

Blurred Persistence in Transactional Persistent Memory

Blurred Persistence in Transactional Persistent Memory Blurred Persistence in Transactional Youyou Lu, Jiwu Shu, Long Sun Department of Computer Science and Technology, Tsinghua University, Beijing, China luyouyou@tsinghua.edu.cn, shujw@tsinghua.edu.cn, sun-l12@mails.tsinghua.edu.cn

More information

Solid State Technology What s New?

Solid State Technology What s New? Solid State Technology What s New? Dennis Martin, President, Demartek www.storagedecisions.com Agenda: Solid State Technology What s New? Demartek About Us Solid-state storage overview Types of NAND flash

More information

Re-Think Application Performance

Re-Think Application Performance Re-Think Application Performance Decouple Storage Performance From Capacity with PernixData FVP Software London 22 nd April 2015 James Smith Systems Engineer jsmith@pernixdata.com or @james55smith PernixData.

More information

Chapter 11: File System Implementation. Operating System Concepts with Java 8 th Edition

Chapter 11: File System Implementation. Operating System Concepts with Java 8 th Edition Chapter 11: File System Implementation 11.1 Silberschatz, Galvin and Gagne 2009 Chapter 11: File System Implementation File-System Structure File-System Implementation Directory Implementation Allocation

More information

Microkernels, virtualization, exokernels. Tutorial 1 CSC469

Microkernels, virtualization, exokernels. Tutorial 1 CSC469 Microkernels, virtualization, exokernels Tutorial 1 CSC469 Monolithic kernel vs Microkernel Monolithic OS kernel Application VFS System call User mode What was the main idea? What were the problems? IPC,

More information

LSI SAS inside 60% of servers. 21 million LSI SAS & MegaRAID solutions shipped over last 3 years. 9 out of 10 top server vendors use MegaRAID

LSI SAS inside 60% of servers. 21 million LSI SAS & MegaRAID solutions shipped over last 3 years. 9 out of 10 top server vendors use MegaRAID The vast majority of the world s servers count on LSI SAS & MegaRAID Trust us, build the LSI credibility in storage, SAS, RAID Server installed base = 36M LSI SAS inside 60% of servers 21 million LSI SAS

More information

Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions

Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions Overview: SGI and FedCentric Technologies LLC are pleased to announce

More information

Memory Channel Storage ( M C S ) Demystified. Jerome McFarland

Memory Channel Storage ( M C S ) Demystified. Jerome McFarland ory nel Storage ( M C S ) Demystified Jerome McFarland Principal Product Marketer AGENDA + INTRO AND ARCHITECTURE + PRODUCT DETAILS + APPLICATIONS THE COMPUTE-STORAGE DISCONNECT + Compute And Data Have

More information

Accelerating Real Time Big Data Applications. PRESENTATION TITLE GOES HERE Bob Hansen

Accelerating Real Time Big Data Applications. PRESENTATION TITLE GOES HERE Bob Hansen Accelerating Real Time Big Data Applications PRESENTATION TITLE GOES HERE Bob Hansen Apeiron Data Systems Apeiron is developing a VERY high performance Flash storage system that alters the economics of

More information

POSIX. RTOSes Part I. POSIX Versions. POSIX Versions (2)

POSIX. RTOSes Part I. POSIX Versions. POSIX Versions (2) RTOSes Part I Christopher Kenna September 24, 2010 POSIX Portable Operating System for UnIX Application portability at source-code level POSIX Family formally known as IEEE 1003 Originally 17 separate

More information

The search engine you can see. Connects people to information and services

The search engine you can see. Connects people to information and services The search engine you can see Connects people to information and services The search engine you cannot see Total data: ~1EB Processing data : ~100PB/day Total web pages: ~1000 Billion Web pages updated:

More information

A1 and FARM scalable graph database on top of a transactional memory layer

A1 and FARM scalable graph database on top of a transactional memory layer A1 and FARM scalable graph database on top of a transactional memory layer Miguel Castro, Aleksandar Dragojević, Dushyanth Narayanan, Ed Nightingale, Alex Shamis Richie Khanna, Matt Renzelmann Chiranjeeb

More information

File System & Device Drive. Overview of Mass Storage Structure. Moving head Disk Mechanism. HDD Pictures 11/13/2014. CS341: Operating System

File System & Device Drive. Overview of Mass Storage Structure. Moving head Disk Mechanism. HDD Pictures 11/13/2014. CS341: Operating System CS341: Operating System Lect 36: 1 st Nov 2014 Dr. A. Sahu Dept of Comp. Sc. & Engg. Indian Institute of Technology Guwahati File System & Device Drive Mass Storage Disk Structure Disk Arm Scheduling RAID

More information

Database Hardware Selection Guidelines

Database Hardware Selection Guidelines Database Hardware Selection Guidelines BRUCE MOMJIAN Database servers have hardware requirements different from other infrastructure software, specifically unique demands on I/O and memory. This presentation

More information

Rackspace Cloud Databases and Container-based Virtualization

Rackspace Cloud Databases and Container-based Virtualization Rackspace Cloud Databases and Container-based Virtualization August 2012 J.R. Arredondo @jrarredondo Page 1 of 6 INTRODUCTION When Rackspace set out to build the Cloud Databases product, we asked many

More information

Emerging storage and HPC technologies to accelerate big data analytics Jerome Gaysse JG Consulting

Emerging storage and HPC technologies to accelerate big data analytics Jerome Gaysse JG Consulting Emerging storage and HPC technologies to accelerate big data analytics Jerome Gaysse JG Consulting Introduction Big Data Analytics needs: Low latency data access Fast computing Power efficiency Latest

More information

The Evolution of Microsoft SQL Server: The right time for Violin flash Memory Arrays

The Evolution of Microsoft SQL Server: The right time for Violin flash Memory Arrays The Evolution of Microsoft SQL Server: The right time for Violin flash Memory Arrays Executive Summary Microsoft SQL has evolved beyond serving simple workgroups to a platform delivering sophisticated

More information

Price/performance Modern Memory Hierarchy

Price/performance Modern Memory Hierarchy Lecture 21: Storage Administration Take QUIZ 15 over P&H 6.1-4, 6.8-9 before 11:59pm today Project: Cache Simulator, Due April 29, 2010 NEW OFFICE HOUR TIME: Tuesday 1-2, McKinley Last Time Exam discussion

More information

Moneta: A High-performance Storage Array Architecture for Next-generation, Non-volatile Memories

Moneta: A High-performance Storage Array Architecture for Next-generation, Non-volatile Memories Moneta: A High-performance Storage Array Architecture for Next-generation, Non-volatile Memories Adrian M. Caulfield Arup De Joel Coburn Todor I. Mollov Rajesh K. Gupta Steven Swanson Department of Computer

More information

Intel Solid- State Drive Data Center P3700 Series NVMe Hybrid Storage Performance

Intel Solid- State Drive Data Center P3700 Series NVMe Hybrid Storage Performance Intel Solid- State Drive Data Center P3700 Series NVMe Hybrid Storage Performance Hybrid Storage Performance Gains for IOPS and Bandwidth Utilizing Colfax Servers and Enmotus FuzeDrive Software NVMe Hybrid

More information

KVM & Memory Management Updates

KVM & Memory Management Updates KVM & Memory Management Updates KVM Forum 2012 Rik van Riel Red Hat, Inc. KVM & Memory Management Updates EPT Accessed & Dirty Bits 1GB hugepages Balloon vs. Transparent Huge Pages Automatic NUMA Placement

More information

The Evolving NAND Flash Business Model for SSD. Steffen Hellmold VP BD, SandForce

The Evolving NAND Flash Business Model for SSD. Steffen Hellmold VP BD, SandForce The Evolving NAND Flash Business Model for SSD Steffen Hellmold VP BD, SandForce Flash Forward: Flash Flash Memory Memory Storage Storage Solutions Solutions Solid State Storage - Vision Solid State Storage

More information

AHCI and NVMe as Interfaces for SATA Express Devices - Overview

AHCI and NVMe as Interfaces for SATA Express Devices - Overview AHCI and NVMe as Interfaces for SATA Express Devices - Overview By Dave Landsman, SanDisk Page 1 Table of Contents 1 Introduction... 3 2 SATA Express Interface Architecture... 4 3 NVMe And AHCI Comparison...

More information

Hardware RAID vs. Software RAID: Which Implementation is Best for my Application?

Hardware RAID vs. Software RAID: Which Implementation is Best for my Application? STORAGE SOLUTIONS WHITE PAPER Hardware vs. Software : Which Implementation is Best for my Application? Contents Introduction...1 What is?...1 Software...1 Software Implementations...1 Hardware...2 Hardware

More information

High Performance Computing Specialists. ZFS Storage as a Solution for Big Data and Flexibility

High Performance Computing Specialists. ZFS Storage as a Solution for Big Data and Flexibility High Performance Computing Specialists ZFS Storage as a Solution for Big Data and Flexibility Introducing VA Technologies UK Based System Integrator Specialising in High Performance ZFS Storage Partner

More information

COS 318: Operating Systems

COS 318: Operating Systems COS 318: Operating Systems File Performance and Reliability Andy Bavier Computer Science Department Princeton University http://www.cs.princeton.edu/courses/archive/fall10/cos318/ Topics File buffer cache

More information

An Oracle White Paper December 2013. Exadata Smart Flash Cache Features and the Oracle Exadata Database Machine

An Oracle White Paper December 2013. Exadata Smart Flash Cache Features and the Oracle Exadata Database Machine An Oracle White Paper December 2013 Exadata Smart Flash Cache Features and the Oracle Exadata Database Machine Flash Technology and the Exadata Database Machine... 2 Oracle Database 11g: The First Flash

More information

Storage and File Systems. Chester Rebeiro IIT Madras

Storage and File Systems. Chester Rebeiro IIT Madras Storage and File Systems Chester Rebeiro IIT Madras 1 Two views of a file system system calls protection rwx attributes Application View Look & Feel File system Hardware view 2 Magnetic Disks Chester Rebeiro

More information

QuickSAN: A Storage Area Network for Fast, Distributed, Solid State Disks

QuickSAN: A Storage Area Network for Fast, Distributed, Solid State Disks QuickSAN: A Storage Area Network for Fast, Distributed, Solid State Disks Adrian M. Caulfield Steven Swanson Computer Science and Engineering Department University of California, San Diego {acaulfie,swanson}@cs.ucsd.edu

More information

Advantages of Intel SSDs for Data Centres

Advantages of Intel SSDs for Data Centres Advantages of Intel SSDs for Data Centres Executive Summary Most businesses depend on at least one data centre infrastructure to be successful. A highly functioning data centre has several requirements,

More information

Flash Accel, Flash Cache, Flash Pool, Flash Ray Was? Wann? Wie?

Flash Accel, Flash Cache, Flash Pool, Flash Ray Was? Wann? Wie? Flash Accel, Flash Cache, Flash Pool, Flash Ray Was? Wann? Wie? Systems Engineer Sven Willholz Performance Growth Performance Gap Performance Gap Challenge Server Huge gap between CPU and storage Relatively

More information

Oracle Aware Flash: Maximizing Performance and Availability for your Database

Oracle Aware Flash: Maximizing Performance and Availability for your Database Oracle Aware Flash: Maximizing Performance and Availability for your Database Gurmeet Goindi Principal Product Manager Oracle Kirby McCord Database Architect US Cellular Kodi Umamageswaran Vice President,

More information

Providing High Availability in Cloud Storage by decreasing Virtual Machine Reboot Time Shehbaz Jaffer, Mangesh Chitnis, Ameya Usgaonkar NetApp Inc.

Providing High Availability in Cloud Storage by decreasing Virtual Machine Reboot Time Shehbaz Jaffer, Mangesh Chitnis, Ameya Usgaonkar NetApp Inc. Providing High Availability in Cloud Storage by decreasing Virtual Machine Reboot Time Shehbaz Jaffer, Mangesh Chitnis, Ameya Usgaonkar NetApp Inc. Abstract A Virtual Storage Architecture (VSA) is a storage

More information

A Deduplication File System & Course Review

A Deduplication File System & Course Review A Deduplication File System & Course Review Kai Li 12/13/12 Topics A Deduplication File System Review 12/13/12 2 Traditional Data Center Storage Hierarchy Clients Network Server SAN Storage Remote mirror

More information

Xeon+FPGA Platform for the Data Center

Xeon+FPGA Platform for the Data Center Xeon+FPGA Platform for the Data Center ISCA/CARL 2015 PK Gupta, Director of Cloud Platform Technology, DCG/CPG Overview Data Center and Workloads Xeon+FPGA Accelerator Platform Applications and Eco-system

More information

How swift is your Swift? Ning Zhang, OpenStack Engineer at Zmanda Chander Kant, CEO at Zmanda

How swift is your Swift? Ning Zhang, OpenStack Engineer at Zmanda Chander Kant, CEO at Zmanda How swift is your Swift? Ning Zhang, OpenStack Engineer at Zmanda Chander Kant, CEO at Zmanda 1 Outline Build a cost-efficient Swift cluster with expected performance Background & Problem Solution Experiments

More information

Preparing Applications for Persistent Memory Doug Voigt Hewlett Packard (Enterprise)

Preparing Applications for Persistent Memory Doug Voigt Hewlett Packard (Enterprise) Preparing Applications for Persistent Memory Doug Voigt Hewlett Packard (Enterprise) Latency Thresholds Cause Disruption Latency (Log) 2 us 200 ns Min, Max Latencies For Example Technologies Context Switch

More information

FlashSoft Software from SanDisk : Accelerating Virtual Infrastructures

FlashSoft Software from SanDisk : Accelerating Virtual Infrastructures Technology Insight Paper FlashSoft Software from SanDisk : Accelerating Virtual Infrastructures By Leah Schoeb January 16, 2013 FlashSoft Software from SanDisk: Accelerating Virtual Infrastructures 1 FlashSoft

More information

An Oracle White Paper May 2011. Exadata Smart Flash Cache and the Oracle Exadata Database Machine

An Oracle White Paper May 2011. Exadata Smart Flash Cache and the Oracle Exadata Database Machine An Oracle White Paper May 2011 Exadata Smart Flash Cache and the Oracle Exadata Database Machine Exadata Smart Flash Cache... 2 Oracle Database 11g: The First Flash Optimized Database... 2 Exadata Smart

More information

Why Computers Are Getting Slower (and what we can do about it) Rik van Riel Sr. Software Engineer, Red Hat

Why Computers Are Getting Slower (and what we can do about it) Rik van Riel Sr. Software Engineer, Red Hat Why Computers Are Getting Slower (and what we can do about it) Rik van Riel Sr. Software Engineer, Red Hat Why Computers Are Getting Slower The traditional approach better performance Why computers are

More information