LOW-LATENCY, HIGH-BANDWIDTH USE CASES FOR NAHANNI / IVSHMEM
|
|
|
- Lionel Butler
- 10 years ago
- Views:
Transcription
1 1 LOW-LATENCY, HIGH-BANDWIDTH USE CASES FOR NAHANNI / IVSHMEM Cam Macdonell, Xiaodi Ke, Adam Wolfe Gordon, Paul Lu University of Alberta [email protected] KVM Forum 2011 August 16, 2011
2 2 Contents 1. For the QEMU/KVM developer Nahanni/ivshmem included as of QEMU , August VMs for Web services Memcached: up to 29% lower inter-vm latencies on workloads 3. VMs for computational science Order-of-magnitude lower latency and higher bandwidth on MPI microbenchmarks Up to 30% faster on MPI application benchmarks (GAMESS, SPEC MPI2007)
3 3 Part 1: What is Nahanni / ivshmem? User-level library for data movement OS bypass: No guest or host OS involvement Memcached, DDI: pointer-based structured data MPI: message passing, stream data Nahanni device looks like a graphics card Guest OS driver (for initialization only) No impact on guests that do not load the driver New Nahanni virtual PCI device in QEMU -device ivshmem,shm=<name>,size=1024! Creates POSIX shared memory on host Cam Macdonell s Ph.D.
4 Host-Guest, Inter-VM Shared Memory 4
5 5 Host-Guest Use Case Copying a file from host into a guest VM Nahanni is faster than Netcat, SCP-HPN, 9P
6 6 Part 2: Web Services in the Cloud Many companies use the cloud for their Web servers Reddit and FourSquare are on Amazon EC2 Memcached is a key-value cache for databases, etc. Used by Facebook, Twitter, others Conclusion: Nahanni reduces look-up latency by 29% on a read-mostly Yahoo Cloud Serving Benchmark (YCSB) workload, for co-located VMs M.Sc. thesis and NetDB 11 paper by Adam Wolfe Gordon
7 7 Nahanni Memcached + YCSB 1 million 1 KB records Each VM ran 12 million operations; 36 million in total Each VM ran 2,000 operations per second
8 8 Nahanni Memcached + YCSB VM 3 can do look-up using pointers and synchronization 1 million 1 KB records Each VM ran 12 million operations; 36 million in total Each VM ran 2,000 operations per second
9 9 Nahanni vs. virtio/bridging (br) vs. virtio/vhost (vh) Average Total Read Latency (ms) No cache (br) memcached (br) Nahanni (br) No cache (vh) memcached (vh) Nahanni (vh) Cache Type CASSANDRA_READ CACHE_READ CACHE_WRITE
10 10 Nahanni vs. virtio/bridging (br) vs. virtio/vhost (vh) Average Total Read Latency (ms) No cache (br) memcached (br) Nahanni (br) No cache (vh) memcached (vh) Nahanni (vh) Cache Type CASSANDRA_READ CACHE_READ CACHE_WRITE Workload: 29% lower latency
11 11 Nahanni vs. virtio/bridging (br) vs. virtio/vhost (vh) Average Total Read Latency (ms) No cache (br) memcached (br) Nahanni (br) No cache (vh) memcached (vh) Nahanni (vh) Cache Type CASSANDRA_READ CACHE_READ CACHE_WRITE Workload: 29% lower latency Read Ops: 73% lower latency
12 12 Part 3: Computational Science in VMs Your HPC application is likely to have an Message- Passing Interface (MPI) version We developed the MPI-Nahanni user-level library Port of MPICH2-Nemesis For co-located VM instances Conclusion: MPI-Nahanni has order-of-magnitude lower latency and higher bandwidth; applications are up to 30% faster. M.Sc. thesis of Xiaodi Ke, Ph.D. thesis of Cam Macdonell
13 13 NetPIPE 2-sided Bandwidth (Nahanni vs. vhost) ($!!! (#!!! *+,-./0/112 *+, *+,-./0/112 *+, (!!!! )!!! &!!! $!!! #!!!!! $ "# #%& #' (&' (#)' *755/879:2;7<=>675? (* )* &$* %(#*
14 14 NetPIPE 2-sided Bandwidth (Nahanni vs. vhost)!"((!((( +,-./ , , )+!"#' $(( %(( #(( "(( (!!"#$ ()(" " %&"'( ()(# # #&"(! ()($ $ '%"#) ()!% *&"#!!% ()&! %'!"'( ()%( &" :;3<8=>?786@ #)'"#!!%'"!+ %#!"$!)"! ")&* "'% #)$(
15 15 NetPIPE 2-sided Bandwidth (full results) D/19G2960C*DH5;<F ($!!! (#!!! (!!!! )!!! &!!! $!!! #!!! *+,-./0/112 *+, *+,-7829:; *+,-54<=;6 *+, >*-*+,-.;?;525.4>*-*+,-54<=;6 *+,-7829:; *+,-54<=;6.4>*-*+,-.;?;525.4>*-*+,-54<=;6!! $ "# #%& #' (&' (#)' *;55/:;@A2B;CDE6;5F (* )* &$* %(#*
16 16 NetPIPE 2-sided Latency (Nahanni vs. vhost) (&! (!! )*+,-./.001 )*+,2/345 )*+,2/345 $&! "&! "!! %&! %!! &!!! " # $" %"# &%" ) :6;<=564> "' #' $"'
17 17 NetPIPE 2-sided Latency (full results) F.5:0;DBG4:;E (&! (!! $&! $!! "&! "!! %&! %!! &! )*+,-./.001 )*+,2/345 )*+,67189: )*+,43;<:5-3=),)*+,-:>:414-3=),)*+,43;<:5 )*+,-./.001 )*+,2/345 )*+,67189: )*+,43;<:5-3=),)*+,-:>:414-3=),)*+,43;<:5!! " # $" %"# &%" ):44.9:?@1A:BCD5:4E "' #' $"'
18 18 SPEC MPI2007 SPEC MPI2007 is an industry benchmark for MPI We ran 9 of 13 applications from the medium input set Part of Cam Macdonell s Ph.D. thesis Conclusions: Performance benefit of MPI-Nahanni grows as the number of processes grows Improvement is proportional to time spent in MPI functions
19 SPEC MPI2007 (8x8) 19
20 % MPI time (y) vs. % Improvement (x) 20
21 % MPI time (y) vs. % Improvement (x) 21
22 % MPI time (y) vs. % Improvement (x) 22
23 23 GAMESS: Non-MPI Communications GAMESS Quantum Chemistry Not MPI; DDI ported to Nahanni
24 24 Concluding Remarks Nahanni / ivshmem is an alternative to other mechanisms (e.g., virtual network, virtio+vhost) for inter-vm, intra-host IPC OS bypass: does not modify or use data movement paths in host or guest VM Supports pointers, non-stream data too Web: low latency for client-server, structured data 29% lower on a YCSB + Nahanni memcached workload Computational science: low latency and high bandwidth for message-passing applications No changes to MPI code. Up to 30% faster on full applications. [email protected]
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
Cloud Operating Systems for Servers
Cloud Operating Systems for Servers Mike Day Distinguished Engineer, Virtualization and Linux August 20, 2014 [email protected] 1 What Makes a Good Cloud Operating System?! Consumes Few Resources! Fast
How To Compare Amazon Ec2 To A Supercomputer For Scientific Applications
Amazon Cloud Performance Compared David Adams Amazon EC2 performance comparison How does EC2 compare to traditional supercomputer for scientific applications? "Performance Analysis of High Performance
Cloud Computing through Virtualization and HPC technologies
Cloud Computing through Virtualization and HPC technologies William Lu, Ph.D. 1 Agenda Cloud Computing & HPC A Case of HPC Implementation Application Performance in VM Summary 2 Cloud Computing & HPC HPC
Enabling High performance Big Data platform with RDMA
Enabling High performance Big Data platform with RDMA Tong Liu HPC Advisory Council Oct 7 th, 2014 Shortcomings of Hadoop Administration tooling Performance Reliability SQL support Backup and recovery
A general-purpose virtualization service for HPC on cloud computing: an application to GPUs
A general-purpose virtualization service for HPC on cloud computing: an application to GPUs R.Montella, G.Coviello, G.Giunta* G. Laccetti #, F. Isaila, J. Garcia Blas *Department of Applied Science University
Solving I/O Bottlenecks to Enable Superior Cloud Efficiency
WHITE PAPER Solving I/O Bottlenecks to Enable Superior Cloud Efficiency Overview...1 Mellanox I/O Virtualization Features and Benefits...2 Summary...6 Overview We already have 8 or even 16 cores on one
Assessing the Performance of Virtualization Technologies for NFV: a Preliminary Benchmarking
Assessing the Performance of Virtualization Technologies for NFV: a Preliminary Benchmarking Roberto Bonafiglia, Ivano Cerrato, Francesco Ciaccia, Mario Nemirovsky, Fulvio Risso Politecnico di Torino,
Web Technologies: RAMCloud and Fiz. John Ousterhout Stanford University
Web Technologies: RAMCloud and Fiz John Ousterhout Stanford University The Web is Changing Everything Discovering the potential: New applications 100-1000x scale New development style New approach to deployment
Enabling Technologies for Distributed and Cloud Computing
Enabling Technologies for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Multi-core CPUs and Multithreading
Kashif Iqbal - PhD [email protected]
HPC/HTC vs. Cloud Benchmarking An empirical evalua.on of the performance and cost implica.ons Kashif Iqbal - PhD [email protected] ICHEC, NUI Galway, Ireland With acknowledgment to Michele MicheloDo
KVM Virtualized I/O Performance
KVM Virtualized I/O Performance Achieving Unprecedented I/O Performance Using Virtio-Blk-Data-Plane Technology Preview in SUSE Linux Enterprise Server 11 Service Pack 3 (SP3) Khoa Huynh, IBM Linux Technology
Toward a practical HPC Cloud : Performance tuning of a virtualized HPC cluster
Toward a practical HPC Cloud : Performance tuning of a virtualized HPC cluster Ryousei Takano Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology
Xen Live Migration. Networks and Distributed Systems Seminar, 24 April 2006. Matúš Harvan Xen Live Migration 1
Xen Live Migration Matúš Harvan Networks and Distributed Systems Seminar, 24 April 2006 Matúš Harvan Xen Live Migration 1 Outline 1 Xen Overview 2 Live migration General Memory, Network, Storage Migration
Virtual Switching Without a Hypervisor for a More Secure Cloud
ing Without a for a More Secure Cloud Xin Jin Princeton University Joint work with Eric Keller(UPenn) and Jennifer Rexford(Princeton) 1 Public Cloud Infrastructure Cloud providers offer computing resources
PostgreSQL Performance Characteristics on Joyent and Amazon EC2
OVERVIEW In today's big data world, high performance databases are not only required but are a major part of any critical business function. With the advent of mobile devices, users are consuming data
Performance Analysis of Cloud Computing under the Impact of Botnet Attack
Performance Analysis of Cloud Computing under the Impact of Botnet Attack Malvinder Singh Bali (Research scholar) a, Shivani Khurana (Guide) b * Department of Computer Science and Engineering CTIEMT, Shahpur
Enabling Technologies for Distributed Computing
Enabling Technologies for Distributed Computing Dr. Sanjay P. Ahuja, Ph.D. Fidelity National Financial Distinguished Professor of CIS School of Computing, UNF Multi-core CPUs and Multithreading Technologies
PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE
PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE Sudha M 1, Harish G M 2, Nandan A 3, Usha J 4 1 Department of MCA, R V College of Engineering, Bangalore : 560059, India [email protected] 2 Department
Data Centers and Cloud Computing
Data Centers and Cloud Computing CS377 Guest Lecture Tian Guo 1 Data Centers and Cloud Computing Intro. to Data centers Virtualization Basics Intro. to Cloud Computing Case Study: Amazon EC2 2 Data Centers
Marvell DragonFly Virtual Storage Accelerator Performance Benchmarks
PERFORMANCE BENCHMARKS PAPER Marvell DragonFly Virtual Storage Accelerator Performance Benchmarks Arvind Pruthi Senior Staff Manager Marvell April 2011 www.marvell.com Overview In today s virtualized data
SR-IOV: Performance Benefits for Virtualized Interconnects!
SR-IOV: Performance Benefits for Virtualized Interconnects! Glenn K. Lockwood! Mahidhar Tatineni! Rick Wagner!! July 15, XSEDE14, Atlanta! Background! High Performance Computing (HPC) reaching beyond traditional
Advanced Computer Networks. Network I/O Virtualization
Advanced Computer Networks 263 3501 00 Network I/O Virtualization Patrick Stuedi Spring Semester 2014 Oriana Riva, Department of Computer Science ETH Zürich 1 Outline Last week: Today: Software Defined
8Gb Fibre Channel Adapter of Choice in Microsoft Hyper-V Environments
8Gb Fibre Channel Adapter of Choice in Microsoft Hyper-V Environments QLogic 8Gb Adapter Outperforms Emulex QLogic Offers Best Performance and Scalability in Hyper-V Environments Key Findings The QLogic
Performance Management for Cloud-based Applications STC 2012
Performance Management for Cloud-based Applications STC 2012 1 Agenda Context Problem Statement Cloud Architecture Key Performance Challenges in Cloud Challenges & Recommendations 2 Context Cloud Computing
Efficient shared memory message passing for inter-vm communications
Efficient shared memory message passing for inter-vm communications François Diakhaté, Marc Pérache, Raymond Namyst, Hervé Jourdren To cite this version: François Diakhaté, Marc Pérache, Raymond Namyst,
Intel Ethernet Switch Load Balancing System Design Using Advanced Features in Intel Ethernet Switch Family
Intel Ethernet Switch Load Balancing System Design Using Advanced Features in Intel Ethernet Switch Family White Paper June, 2008 Legal INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL
Enhancing Hypervisor and Cloud Solutions Using Embedded Linux Iisko Lappalainen MontaVista
Enhancing Hypervisor and Cloud Solutions Using Embedded Linux Iisko Lappalainen MontaVista Setting the Stage This presentation will discuss the usage of Linux as a base component of hypervisor components
Cloud Computing using MapReduce, Hadoop, Spark
Cloud Computing using MapReduce, Hadoop, Spark Benjamin Hindman [email protected] Why this talk? At some point, you ll have enough data to run your parallel algorithms on multiple computers SPMD (e.g.,
StACC: St Andrews Cloud Computing Co laboratory. A Performance Comparison of Clouds. Amazon EC2 and Ubuntu Enterprise Cloud
StACC: St Andrews Cloud Computing Co laboratory A Performance Comparison of Clouds Amazon EC2 and Ubuntu Enterprise Cloud Jonathan S Ward StACC (pronounced like 'stack') is a research collaboration launched
Azure VM Performance Considerations Running SQL Server
Azure VM Performance Considerations Running SQL Server Your company logo here Vinod Kumar M @vinodk_sql http://blogs.extremeexperts.com Session Objectives And Takeaways Session Objective(s): Learn the
Network performance in virtual infrastructures
Network performance in virtual infrastructures A closer look at Amazon EC2 Alexandru-Dorin GIURGIU University of Amsterdam System and Network Engineering Master 03 February 2010 Coordinators: Paola Grosso
Clodoaldo Barrera Chief Technical Strategist IBM System Storage. Making a successful transition to Software Defined Storage
Clodoaldo Barrera Chief Technical Strategist IBM System Storage Making a successful transition to Software Defined Storage Open Server Summit Santa Clara Nov 2014 Data at the core of everything Data is
Creating Overlay Networks Using Intel Ethernet Converged Network Adapters
Creating Overlay Networks Using Intel Ethernet Converged Network Adapters Technical Brief Networking Division (ND) August 2013 Revision 1.0 LEGAL INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION
Data Centers and Cloud Computing. Data Centers
Data Centers and Cloud Computing Intro. to Data centers Virtualization Basics Intro. to Cloud Computing 1 Data Centers Large server and storage farms 1000s of servers Many TBs or PBs of data Used by Enterprises
ECLIPSE Performance Benchmarks and Profiling. January 2009
ECLIPSE Performance Benchmarks and Profiling January 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox, Schlumberger HPC Advisory Council Cluster
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
VON/K: A Fast Virtual Overlay Network Embedded in KVM Hypervisor for High Performance Computing
Journal of Information & Computational Science 9: 5 (2012) 1273 1280 Available at http://www.joics.com VON/K: A Fast Virtual Overlay Network Embedded in KVM Hypervisor for High Performance Computing Yuan
Virtualization System Vulnerability Discovery Framework. Speaker: Qinghao Tang Title:360 Marvel Team Leader
Virtualization System Vulnerability Discovery Framework Speaker: Qinghao Tang Title:360 Marvel Team Leader 1 360 Marvel Team Established in May 2015, the first professional could computing and virtualization
RAID. RAID 0 No redundancy ( AID?) Just stripe data over multiple disks But it does improve performance. Chapter 6 Storage and Other I/O Topics 29
RAID Redundant Array of Inexpensive (Independent) Disks Use multiple smaller disks (c.f. one large disk) Parallelism improves performance Plus extra disk(s) for redundant data storage Provides fault tolerant
How Linux kernel enables MidoNet s overlay networks for virtualized environments. LinuxTag Berlin, May 2014
How Linux kernel enables MidoNet s overlay networks for virtualized environments. LinuxTag Berlin, May 2014 About Me: Pino de Candia At Midokura since late 2010: Joined as a Software Engineer Managed the
How SSDs Fit in Different Data Center Applications
How SSDs Fit in Different Data Center Applications Tahmid Rahman Senior Technical Marketing Engineer NVM Solutions Group Flash Memory Summit 2012 Santa Clara, CA 1 Agenda SSD market momentum and drivers
DISTRIBUTED SYSTEMS [COMP9243] Lecture 9a: Cloud Computing WHAT IS CLOUD COMPUTING? 2
DISTRIBUTED SYSTEMS [COMP9243] Lecture 9a: Cloud Computing Slide 1 Slide 3 A style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.
Client-aware Cloud Storage
Client-aware Cloud Storage Feng Chen Computer Science & Engineering Louisiana State University Michael Mesnier Circuits & Systems Research Intel Labs Scott Hahn Circuits & Systems Research Intel Labs Cloud
Performance Management for Cloudbased STC 2012
Performance Management for Cloudbased Applications STC 2012 1 Agenda Context Problem Statement Cloud Architecture Need for Performance in Cloud Performance Challenges in Cloud Generic IaaS / PaaS / SaaS
Run-Time Deep Virtual Machine Introspection & Its Applications
Run-Time Deep Virtual Machine Introspection & Its Applications Jennia Hizver Computer Science Department Stony Brook University, NY, USA Tzi-cker Chiueh Cloud Computing Center Industrial Technology Research
Workshop on Parallel and Distributed Scientific and Engineering Computing, Shanghai, 25 May 2012
Scientific Application Performance on HPC, Private and Public Cloud Resources: A Case Study Using Climate, Cardiac Model Codes and the NPB Benchmark Suite Peter Strazdins (Research School of Computer Science),
LS DYNA Performance Benchmarks and Profiling. January 2009
LS DYNA Performance Benchmarks and Profiling January 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox HPC Advisory Council Cluster Center The
Beyond the Hypervisor
Beyond the Hypervisor A Technical Roadmap for Open Virtualization, Linux, KVM Mike Day Distinguished Engineer, Chief Virtualization Architect, Open Systems Development Saturday, February 22, 2014 1 [email protected]
Emerging Technology for the Next Decade
Emerging Technology for the Next Decade Cloud Computing Keynote Presented by Charles Liang, President & CEO Super Micro Computer, Inc. What is Cloud Computing? Cloud computing is Internet-based computing,
A hypervisor approach with real-time support to the MIPS M5150 processor
ISQED Wednesday March 4, 2015 Session 5B A hypervisor approach with real-time support to the MIPS M5150 processor Authors: Samir Zampiva ([email protected]) Carlos Moratelli ([email protected])
Benchmarking Cassandra on Violin
Technical White Paper Report Technical Report Benchmarking Cassandra on Violin Accelerating Cassandra Performance and Reducing Read Latency With Violin Memory Flash-based Storage Arrays Version 1.0 Abstract
ELI: Bare-Metal Performance for I/O Virtualization
ELI: Bare-Metal Performance for I/O Virtualization Abel Gordon Nadav Amit Nadav Har El Muli Ben-Yehuda, Alex Landau Assaf Schuster Dan Tsafrir IBM Research Haifa Technion Israel Institute of Technology
Characterizing the Performance of Parallel Applications on Multi-Socket Virtual Machines
1 Characterizing the Performance of Parallel Applications on Multi-Socket Virtual Machines Khaled Ibrahim, Steven Hofmeyr, Costin Iancu Lawrence Berkeley National Laboratory Email: {kzibrahim, shofmeyr,
How To Store Data On An Ocora Nosql Database On A Flash Memory Device On A Microsoft Flash Memory 2 (Iomemory)
WHITE PAPER Oracle NoSQL Database and SanDisk Offer Cost-Effective Extreme Performance for Big Data 951 SanDisk Drive, Milpitas, CA 95035 www.sandisk.com Table of Contents Abstract... 3 What Is Big Data?...
Can High-Performance Interconnects Benefit Memcached and Hadoop?
Can High-Performance Interconnects Benefit Memcached and Hadoop? D. K. Panda and Sayantan Sur Network-Based Computing Laboratory Department of Computer Science and Engineering The Ohio State University,
High-performance vnic framework for hypervisor-based NFV with userspace vswitch Yoshihiro Nakajima, Hitoshi Masutani, Hirokazu Takahashi NTT Labs.
High-performance vnic framework for hypervisor-based NFV with userspace vswitch Yoshihiro Nakajima, Hitoshi Masutani, Hirokazu Takahashi NTT Labs. 0 Outline Motivation and background Issues on current
The Flash-Transformed Financial Data Center. Jean S. Bozman Enterprise Solutions Manager, Enterprise Storage Solutions Corporation August 6, 2014
The Flash-Transformed Financial Data Center Jean S. Bozman Enterprise Solutions Manager, Enterprise Storage Solutions Corporation August 6, 2014 Forward-Looking Statements During our meeting today we will
CS5460: Operating Systems. Lecture: Virtualization 2. Anton Burtsev March, 2013
CS5460: Operating Systems Lecture: Virtualization 2 Anton Burtsev March, 2013 Paravirtualization: Xen Full virtualization Complete illusion of physical hardware Trap _all_ sensitive instructions Virtualized
IOmark- VDI. Nimbus Data Gemini Test Report: VDI- 130906- a Test Report Date: 6, September 2013. www.iomark.org
IOmark- VDI Nimbus Data Gemini Test Report: VDI- 130906- a Test Copyright 2010-2013 Evaluator Group, Inc. All rights reserved. IOmark- VDI, IOmark- VDI, VDI- IOmark, and IOmark are trademarks of Evaluator
Yahoo! Cloud Serving Benchmark
Yahoo! Cloud Serving Benchmark Overview and results March 31, 2010 Brian F. Cooper [email protected] Joint work with Adam Silberstein, Erwin Tam, Raghu Ramakrishnan and Russell Sears System setup and
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
KVM Architecture Overview
KVM Architecture Overview 2015 Edition Stefan Hajnoczi 1 Introducing KVM virtualization KVM hypervisor runs virtual machines on Linux hosts Mature on x86, recent progress on ARM and
On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform
On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform Page 1 of 16 Table of Contents Table of Contents... 2 Introduction... 3 NoSQL Databases... 3 CumuLogic NoSQL Database Service...
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014 1 Agenda v Mapping clients needs to cloud technologies v Addressing your pain
When Does Colocation Become Competitive With The Public Cloud? WHITE PAPER SEPTEMBER 2014
When Does Colocation Become Competitive With The Public Cloud? WHITE PAPER SEPTEMBER 2014 Table of Contents Executive Summary... 2 Case Study: Amazon Ec2 Vs In-House Private Cloud... 3 Aim... 3 Participants...
Datacenters and Cloud Computing. Jia Rao Assistant Professor in CS http://cs.uccs.edu/~jrao/cs5540/spring2014/index.html
Datacenters and Cloud Computing Jia Rao Assistant Professor in CS http://cs.uccs.edu/~jrao/cs5540/spring2014/index.html What is Cloud Computing? A model for enabling ubiquitous, convenient, ondemand network
High Performance Computing OpenStack Options. September 22, 2015
High Performance Computing OpenStack PRESENTATION TITLE GOES HERE Options September 22, 2015 Today s Presenters Glyn Bowden, SNIA Cloud Storage Initiative Board HP Helion Professional Services Alex McDonald,
Virtualization and Cloud Computing. The Threat of Covert Channels. Related Work. Zhenyu Wu, Zhang Xu, and Haining Wang 1
Virtualization and Cloud Computing Zhenyu Wu, Zhang Xu, Haining Wang William and Mary Now affiliated with NEC Laboratories America Inc. Server Virtualization Consolidates workload Simplifies resource management
When Does Colocation Become Competitive With The Public Cloud?
When Does Colocation Become Competitive With The Public Cloud? PLEXXI WHITE PAPER Affinity Networking for Data Centers and Clouds Table of Contents EXECUTIVE SUMMARY... 2 CASE STUDY: AMAZON EC2 vs IN-HOUSE
Praktijkexamen met Project VRC. Virtual Reality Check
Praktijkexamen met Project VRC Virtual Reality Check Agenda Introductie VRC en LoginVSI Nieuwe resultaten Office 2013 Indexing Win x64 Office x64 Windows 8 VDI vs SBC vcpu Project VRC Facts Started 2009
Comparing SMB Direct 3.0 performance over RoCE, InfiniBand and Ethernet. September 2014
Comparing SMB Direct 3.0 performance over RoCE, InfiniBand and Ethernet Anand Rangaswamy September 2014 Storage Developer Conference Mellanox Overview Ticker: MLNX Leading provider of high-throughput,
Amazon EC2 XenApp Scalability Analysis
WHITE PAPER Citrix XenApp Amazon EC2 XenApp Scalability Analysis www.citrix.com Table of Contents Introduction...3 Results Summary...3 Detailed Results...4 Methods of Determining Results...4 Amazon EC2
Exploiting The Latest KVM Features For Optimized Virtualized Enterprise Storage Performance
Exploiting The Latest KVM Features For Optimized Virtualized Enterprise Storage Performance Dr. Khoa Huynh ([email protected]) IBM Linux Technology Center Overview KVM I/O architecture Key performance challenges
Data Centers and Cloud Computing. Data Centers. MGHPCC Data Center. Inside a Data Center
Data Centers and Cloud Computing Intro. to Data centers Virtualization Basics Intro. to Cloud Computing Data Centers Large server and storage farms 1000s of servers Many TBs or PBs of data Used by Enterprises
ECLIPSE Best Practices Performance, Productivity, Efficiency. March 2009
ECLIPSE Best Practices Performance, Productivity, Efficiency March 29 ECLIPSE Performance, Productivity, Efficiency The following research was performed under the HPC Advisory Council activities HPC Advisory
Cloud Computing. Adam Barker
Cloud Computing Adam Barker 1 Overview Introduction to Cloud computing Enabling technologies Different types of cloud: IaaS, PaaS and SaaS Cloud terminology Interacting with a cloud: management consoles
VIRTUALIZATION, The next step for online services
Scientific Bulletin of the Petru Maior University of Tîrgu Mureş Vol. 10 (XXVII) no. 1, 2013 ISSN-L 1841-9267 (Print), ISSN 2285-438X (Online), ISSN 2286-3184 (CD-ROM) VIRTUALIZATION, The next step for
Storage I/O Control: Proportional Allocation of Shared Storage Resources
Storage I/O Control: Proportional Allocation of Shared Storage Resources Chethan Kumar Sr. Member of Technical Staff, R&D VMware, Inc. Outline The Problem Storage IO Control (SIOC) overview Technical Details
Virtualization Performance on SGI UV 2000 using Red Hat Enterprise Linux 6.3 KVM
White Paper Virtualization Performance on SGI UV 2000 using Red Hat Enterprise Linux 6.3 KVM September, 2013 Author Sanhita Sarkar, Director of Engineering, SGI Abstract This paper describes how to implement
RDMA Performance in Virtual Machines using QDR InfiniBand on VMware vsphere 5 R E S E A R C H N O T E
RDMA Performance in Virtual Machines using QDR InfiniBand on VMware vsphere 5 R E S E A R C H N O T E RDMA Performance in Virtual Machines using QDR InfiniBand on vsphere 5 Table of Contents Introduction...
Switching Architectures for Cloud Network Designs
Overview Networks today require predictable performance and are much more aware of application flows than traditional networks with static addressing of devices. Enterprise networks in the past were designed
Removing Performance Bottlenecks in Databases with Red Hat Enterprise Linux and Violin Memory Flash Storage Arrays. Red Hat Performance Engineering
Removing Performance Bottlenecks in Databases with Red Hat Enterprise Linux and Violin Memory Flash Storage Arrays Red Hat Performance Engineering Version 1.0 August 2013 1801 Varsity Drive Raleigh NC
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
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
SMB Direct for SQL Server and Private Cloud
SMB Direct for SQL Server and Private Cloud Increased Performance, Higher Scalability and Extreme Resiliency June, 2014 Mellanox Overview Ticker: MLNX Leading provider of high-throughput, low-latency server
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
Benchmarking Couchbase Server for Interactive Applications. By Alexey Diomin and Kirill Grigorchuk
Benchmarking Couchbase Server for Interactive Applications By Alexey Diomin and Kirill Grigorchuk Contents 1. Introduction... 3 2. A brief overview of Cassandra, MongoDB, and Couchbase... 3 3. Key criteria
