The Hardware Dilemma. Stephanie Best, SGI Director Big Data Marketing Ray Morcos, SGI Big Data Engineering
|
|
- Christine Reynolds
- 7 years ago
- Views:
Transcription
1 The Hardware Dilemma Stephanie Best, SGI Director Big Data Marketing Ray Morcos, SGI Big Data Engineering April 9, 2013
2 The Blurring of the Lines Business Applications and High Performance Computing Are Closer Today Than Ever Before Business Applications High Performance Computing Redundancy Scale & Speed SGI s leadership in High Performance Computing and extensive experience in Hadoop and other Big Data technologies make us perfectly poised to help you tackle the changing Big Data landscape. Slide 2
3 SGI Technical Computing Compute Intensive SGI Technical Computing Data Intensive Memory/IO intensive HPC Unstructured data SGI UV TM Very large memory SMP SGI ICE TM X High performance bladed cluster SGI Rackable TM High density Optimized cluster Slide 3
4 SGI DataRaptor with Engineered from the ground up to be: Easy to Deploy. Up and running in hours, not days or weeks. Single point of contact for sales and support. Provide Real-Time Big Data - Any Volume and Any Data Type Structured, unstructured, and semi-structured. Real-time, near-real-time, and batch. Massively Scalable and Flexible. Scale as data volume grows & business demands change. Add capacity quickly, easily, and cost-effectively. True Out-of-the-Box Deployment. Each unit undergoes rigorous testing before it leaves the factory. Configured and ready to go, every time! Slide 4
5 SGI DataRaptor with Engineered from the ground up to be: Roughly 50% the cost of competing solutions or building a comparable solution yourself! Slide 5
6 SGI DataRaptor with The fastest, most flexible, easiest, and most cost effective way to achieve real-time insight from your Big Data MarkLogic Software SGI Hardware: Compute, Storage, Networking, Management Software PERFORMANCE CONFIGURATION CAPACITY CONFIGURATION Full Rack 386 TB 638 TB Half Rack 184 TB 304 TB Quarter rack 92 TB 152 TB Slide 6
7 SGI DataRaptor with The core to the SGI DataRaptor is the Rackable ISS3112 or ISS3124 storage server (similar capabilities but different disk sub-chassis for different size disks). RP2 two-socket motherboard with the latest Intel Xeon E microprocessor 16 cores of computing power per server 384 GB of main memory Up to 1600 MHz in speed Six PCIe gen 3 x 8 slots, full-height, or two PCIe gen 3 x 8 slots, full-height, and two PCIe gen3 x 16 slots, double-widht Either twelve 3.5 inch disks or twenty-four 2.5 inch disks, SAS, SATA or SSD Slide 7
8 DataRaptor Configurations Full Rack Slide 8 Option #1A: Speed: More Disk Option #1B: Option #3: Speed: More Flash High Capacity Disk Uncompressed Disk Bandwidth Up to 47GB/s Up to 35GB/s Up to 26GB/s Uncompressed Flash Data bandwidth Database Disk IOPS Database Flash IOPS Up to 40GB/s Up to 80GB/s Up to 20GB/s Up to 144,000 8K read Up to 4,200,000 8K read Up to 120,000 8K read Up to 8,400,000 8K read Up to 32,500 8K read Up to 2,100,000 8K read Raw Disk Capacity (after RAID 6) 275 TiB 205 TiB 458 TiB Uncompressed Usable Capacity ~120 TiB ~90 TiB ~200 TiB Rack 46U/24 standard rack 46U/24 standard rack 46U/24 standard rack Nodes CPU 42 Intel E5 42 Intel E5 42 Intel E5 Cores Memory 2688 GB 2688 GB 2688 GB Disk / Flash Networking 420x900TB 10Krpm + 84x100GB SLC Dual, 10GigE for data, 1 GigE for Management 336x900TB 10Krpm + 168x100GB SLC Dual, 10GigE for data, 1 GigE for Management 210x3TB 7.2Krpm + 42x200GB SLC Dual, 10GigE for data, 1 GigE for Management
9 DataRaptor Configurations Node Schematics Intel Xeon Processor E Intel Xeon Processor E CPU Intel Xeon Processor E Intel Xeon Processor E CPU 128 GB Memory 128 GB Memory I I RAID I RAID SAS Expander SAS Expander DISKS DISKS 100GB SSDs 900GB SAS HDDs 200GB SSDs 3TB SATA HDDs RAID10 200GB RAID10 4TB RAID10 4TB RAID1 200GB RAID6 (8+2) 20TB High Performance Server: ISS3124-RP2 High Capacity Server: ISS3112-RP2 Slide 9
10 DataRaptor: Configurations Model with High Performance Drives MarkLogic DB Full Rack Half Rack Quarter Rack Base Chassis or Tray Size Intel Xeon Processor Rack Size Rackable 2U E series 46U # of Sockets per Node 2 Memory per Node 16 x 8GB 10 GigE Switch per Rack 2 Nodes per Rack Sockets per Rack Drives per Node 20x 900GB 10k rpm SAS drives + 4x 100GB SLC SSDs Raw Storage per Rack (TB) 386 TB 184 TB 92TB Slide 10
11 DataRaptor: Specifications Model with High Performance Drives ISS3124-RP2 with Intel Xeon Processor E Series as MarkLogic High Performance DB Servers: Full Rack: 386 TB raw capacity Half Rack: 184 TB raw capacity Quarter Rack: 92 TB raw capacity 10GigE Ingest, Search, Process, Analyze text and media Multi-Rack: Petabytes useable capacity 2U Full Depth chassis uses 20x GB 10k rpm SAS drives, 4x100GB Enterprise Class Flash SSDs in RAID 10 configuration Separate 80GB SSD for OS drive Intel Xeon Processors E (2.7GHz eight-core) 16x 8GB 1.5v 1600 MHz DIMMs (128GB Memory) Dual port 10 GigE An optimally balanced configuration of cores, drives and memory Affordable High Performance I/O subsystem. Slide 11
12 DataRaptor: Configurations Model with High Capacity Drives MarkLogic DB Full Rack Half Rack Quarter Rack Base Chassis or Tray Size Intel Xeon Processor Rack Size Rackable 2U E series 46U # of Sockets per Node 2 Memory per Node 16 x 8GB 10 GigE Switch per Rack 2 Nodes per Rack 10x 3TB 7.2k rpm SATA drives+ 2x200GB SLC SSDs Sockets per Rack Drives per Node Raw Storage per Rack (TB) 638TB 304TB 152 TB Slide 12
13 DataRaptor: Specifications Model with High Capacity Drives ISS3112-RP2 with Intel Xeon Processor E Series as MarkLogic High Capacity DB Servers: Full Rack: 638 TB raw capacity Half Rack: 304 TB raw capacity Quarter Rack: 152 TB raw capacity 10GigE Ingest, Search, Process, Analyze text and media Multi-Rack: Petabytes useable capacity 2U Full Depth chassis uses 10x3.5 3TB 7.2k rpm SATA drives in RAID 6, 2x200GB Enterprise Class SSDs in RAID 1 configuration Separate 80GB SSD for OS drive Intel Xeon Processors E (2.7GHz eight-core); 16x 8GB 1.5v 1600 MHz DIMMs (128GB Memory); Dual port 10 GigE An optimally balanced configuration of cores, drives and memory; Affordable dollar per terabyte. Slide 13
14 Adding Hardware is Simple! Hardware-Ready Feature Adding nodes to the cluster done at software level. Database never needs to be shutdown during hardware addition. Scripts are used to add entire nodes and racks. Slide 14
15 CPoX Benchmark: Overview Simulates Wikipedia workload search application, faceted navigation, and some document updates Data set consists of 61.8 million documents (4KB/doc) in 11 languages, consuming approx 1TB of disk space. Two Phases: 1. Loading Document Phase Loads in Wikipedia articles using multiple threads & indexes the document. Each thread is simulating a dedicated user that keeps on repeating the request without sleep time in between. Benchmark metric for this phase is documents-per-second (doc/s). 2. Running runtime Request Phase Simulates Wikipedia users Metric is the overall throughput in terms of requests-per-second (req/s). Each request could be a search, a view of an article, or an edit-confirm cycle for an article. Slide 15
16 CPoX Benchmark Summary At a Glance Ingestion Rate (documents/second) High Performance configuration is 11%-15% higher than High Capacity configuration Flash I/O performance in High Performance cluster configured with 4 SSDs in RAID10 is contributing to the higher ingestion rate, compared to the High Capacity cluster configured with 2 SSDs in RAID1. Query throughput (requests/s) Within a 500ms response time is similar on the High performance and High Capacity configurations. Linear Scalability Both ingestion and throughput scale linearly from 1 to 5 and 10 nodes in the high performance and high capacity appliance clusters Slide 16
17 Response Time (ms) Requests/sec CPoX Throughput and Response Time 5 Nodes (High Performance) Throughput Scalability with users: 5 Nodes (80c) High Performance CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Key Points: Higher the better Scales almost linearly from 50% to 100% of the system size Delivers 189 requests/sec with a total of 80 physical cores or concurrent user threads Slide Number of Concurrent Threads/Users Response Time with users: 5 Nodes (80c) High Performance CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Lower the better 362 Response Time Threshold Number of Concurrent Threads/Users 762 Hyperthreading provides a 10% improvement in throughput over 80 physical threads, with a steep increase in response time beyond a threshold of ~500 ms. With no sleep time between thread initiations, the CPU usage peaks to 90% at 80 threads, the total system size.
18 Response Time (ms) Requests/sec CPoX Throughput and Response Time 10 Nodes (High Performance) Throughput Scalability with users: 10 Nodes (160c) High Performance CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Slide 18 Higher the better Number of Concurrent Threads/Users Response Time with users: 10 Nodes (160c) High Performance CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Lower the better 357 Response Time Threshold Number of Concurrent Threads/Users 843 Key Points: Scales almost linearly from 50% to 100% of the system size Delivered 358 requests/sec with a total of 160 physical cores or concurrent user threads. Hyperthreading provides only a 5% improvement in throughput over 160 physical threads, with a steep increase in response time beyond a threshold of ~500 ms. With no sleep time between thread initiations, the CPU usage peaks to 90% at 160 threads, the total system size.
19 Docs/sec Requests/sec CPoX Throughput and Response Time Multi-Node Scalability (High Performance Cluster) Throughput Scalability across nodes (High Performance) CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Higher the better (16 cores) 5 (80 cores) 10 (160 cores) Number of Nodes in the cluster Ingestion Rate Scalability across nodes (High Performance) CPoX@1TB MarkLogic DB (Total 61.8 Million Docs) Key Points: Scales linearly from 1 to 5 &10 nodes, deliversing up to 358 requests/sec on a ½ Rack. Ingestion rate using the xqsync load utility scales pretty linearly from 1 to 5 and 10 nodes in the cluster, delivering up to 15,470 docs/sec on a ½ Rack Slide 19 Higher the better 8,268 15,470 1,853 1 (16 cores) 5 (80 cores) 10 (160 cores) Number of Nodes in the cluster
20 How to Size Your SGI DataRaptor with MarkLogic Appliance Slide 20
21 Step 1: Determine configuration based on daily database loading need. A. Not Important B. High Performance: 72Tb/day C. High Capacity: 48Tb/day Step 2: Determine which configuration you are going to need. A. Not Important B. High Performance: Recommended for complex calculation queries Recommended when your customer application usage >10,000 users/hr C. High Capacity: Recommended when data size is expected to double after 1yr Slide 21
22 Step 3: Based on the previous two steps, determine the following: A. If output of steps 1 and 2 are both B : Select Performance Configuration B. If output of steps 1 and 2 is anything else: Select Capacity Configuration Step 4: Questions to answer in order to determine the data and rack-type required A. What is the expected % data growth over 5 years B. How many users per hour do you expect the appliance to service? Now complete the calculations on the following page. Slide 22
23 A. What is the expected % data growth over the next 5 years (i.e. 50% increase = 1.5) B. Enter your current data size here C. Multiply A x B to get DATA_SIZE D. Enter expected users qty/hr E. Divide above by 19,200 F. Select the ideal rack configuration based on the following: If value ~0.5 +/- 0.2 choose Quarter If value ~1 +/- 0.3 choose Half If value >1.3 choose Full If value <0.4 choose Node Slide 23
24 Step 5: Based on project requirements in Step 3, and the sizing in Step 4, identify your ideal SGI DataRaptor with MarkLogic configuration: Rack Capacity Configuration Performance Configuration Full 638 Tb 386 Tb Half 304 Tb 184 Tb Quarter 152 Tb 92 Tb Node < 4 Tb < 10 Tb Slide 24
25 Sizing Example 1 The Customer Requirements at a Glance Needs complex calculations Loads greater than 72Tb/day Current data size is 400Tb Database size is expected to grow by 25% over the next 5 years Maximum number of users per hour for customer is 30,000. Slide 25
26 Sizing Example 1 Step 1: Determine configuration based on daily database loading need. A. Not Important B. High Performance: 72Tb/day C. High Capacity: 48Tb/day Step 2: Determine which configuration you are going to need. A. Not Important B. High Performance: Recommended for complex calculation queries Recommended when your customer application usage >10,000 users/hr C. High Capacity: Recommended when data size is expected to double after 1yr Slide 26
27 Sizing Example 1 Step 3: Based on the previous two steps, determine the following: A. If output of steps 1 & 2 are both B : Select Performance Configuration B. If output of steps 1 and 2 are anything else: Select Capacity Configuration Step 4: Questions to answer in order to determine the data and rack-type required A. What is the expected % data growth over 5 years B. How many users per hour do you expect the appliance to service?. 25% over the next 5 years 30,000 users per hour Slide 27
28 Sizing Example 1 A. What is the expected % data growth over the next 5 years (i.e. 50% increase = 1.5) 1.25 B. Enter your current data size here 400 C. Multiply A x B to get DATA_SIZE 500 D. Enter expected users qty/hr 30,000 E. Divide above by 19, F. Select the ideal rack configuration based on the following: If value ~0.5 +/- 0.2 choose Quarter If value ~1 +/- 0.3 choose Half If value >1.3 choose Full If value <0.4 choose Node Slide 28
29 Sizing Example 1 Step 5: Based on project requirements in Step 3, and the sizing in Step 4, identify your ideal SGI DataRaptor with MarkLogic configuration: Rack Capacity Configuration Performance Configuration Full 638 Tb 386 Tb Half 304 Tb 184 Tb Quarter 152 Tb 92 Tb Node < 4 Tb < 10 Tb Slide 29
30 Sizing Example 2 The Customer Requirements at a Glance Does not care about daily loading Believes that their database is not likely to grow beyond 25% in the next year Current database size is 50Tb The database size is expected grow by 10% in the next five years. The maximum number of users per hour is 8,000. Slide 30
31 Sizing Example 2 Step 1: Determine configuration based on daily database loading need. A. Not Important B. High Performance: 72Tb/day C. High Capacity: 48Tb/day Step 2: Determine which configuration you are going to need. A. Not Important B. High Performance: Recommended for complex calculation queries Recommended when your customer application usage >10,000 users/hr C. High Capacity: Recommended when data size is expected to double after 1yr Slide 31
32 Sizing Example 2 Step 3: Based on the previous two steps, determine the following: A. If output of steps 1 & 2 are both B : Select Performance Configuration B. If output of steps 1 and 2 are anything else: Select Capacity Configuration Step 4: Questions to answer in order to determine the data and rack-type required A. What is the expected % data growth over 5 years 10% over the next 5 years B. How many users per hour do you expect the appliance to service? 10,000 users per hour Slide 32
33 Sizing Example 2 A. What is the expected % data growth over the next 5 years (i.e. 50% increase = 1.5) 1.10 B. Enter your current data size here 50 C. Multiply A x B to get DATA_SIZE 55 D. Enter expected users qty/hr 8,000 E. Divide above by 19, F. Select the ideal rack configuration based on the following: If value ~0.5 +/- 0.2 choose Quarter If value ~1 +/- 0.3 choose Half If value >1.3 choose Full If value <0.4 choose Node Slide 33
34 Sizing Example 2 Step 5: Based on project requirements in Step 3, and the sizing in Step 4, identify your ideal SGI DataRaptor with MarkLogic configuration: Rack Capacity Configuration Performance Configuration Full 638 Tb 386 Tb Half 304 Tb 184 Tb Quarter 152 Tb 92 Tb Node < 4 Tb < 10 Tb Slide 34
35 Any Questions? Slide 35
36 For More Information Stephanie Best Ray Morcos Slide 36
How To Test An Sgi Hadoop Cluster
White Paper SGI Hadoop GigE Starter Kits for Big Data Analytics October, 22 TABLE OF CONTENTS. Why Hadoop? 3 2. SGI and Hadoop 3 3. SGI Hadoop Starter Kits 3 3. Addressing Big Data s Major Pain Points
More informationOracle Exadata Database Machine for SAP Systems - Innovation Provided by SAP and Oracle for Joint Customers
Oracle Exadata Database Machine for SAP Systems - Innovation Provided by SAP and Oracle for Joint Customers Masood Ahmed EMEA Infrastructure Solutions Oracle/SAP Relationship Overview First SAP R/3 release
More informationHP ProLiant DL580 Gen8 and HP LE PCIe Workload WHITE PAPER Accelerator 90TB Microsoft SQL Server Data Warehouse Fast Track Reference Architecture
WHITE PAPER HP ProLiant DL580 Gen8 and HP LE PCIe Workload WHITE PAPER Accelerator 90TB Microsoft SQL Server Data Warehouse Fast Track Reference Architecture Based on Microsoft SQL Server 2014 Data Warehouse
More informationHigh Performance. CAEA elearning Series. Jonathan G. Dudley, Ph.D. 06/09/2015. 2015 CAE Associates
High Performance Computing (HPC) CAEA elearning Series Jonathan G. Dudley, Ph.D. 06/09/2015 2015 CAE Associates Agenda Introduction HPC Background Why HPC SMP vs. DMP Licensing HPC Terminology Types of
More informationScaling Objectivity Database Performance with Panasas Scale-Out NAS Storage
White Paper Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage A Benchmark Report August 211 Background Objectivity/DB uses a powerful distributed processing architecture to manage
More informationEvaluation Report: Accelerating SQL Server Database Performance with the Lenovo Storage S3200 SAN Array
Evaluation Report: Accelerating SQL Server Database Performance with the Lenovo Storage S3200 SAN Array Evaluation report prepared under contract with Lenovo Executive Summary Even with the price of flash
More informationSGI Big Data Ecosystem - Overview. Dave Raddatz, Big Data Solutions & Performance, SGI
SGI Big Data Ecosystem - Overview Dave Raddatz, Big Data Solutions & Performance, SGI Big Data Benchmarking Community March 21, 2013 Speed and Scale Finding Answers 0 Subatomic Atomic to Cellular Human
More informationHP ProLiant Gen8 vs Gen9 Server Blades on Data Warehouse Workloads
HP ProLiant Gen8 vs Gen9 Server Blades on Data Warehouse Workloads Gen9 Servers give more performance per dollar for your investment. Executive Summary Information Technology (IT) organizations face increasing
More informationHP ProLiant BL660c Gen9 and Microsoft SQL Server 2014 technical brief
Technical white paper HP ProLiant BL660c Gen9 and Microsoft SQL Server 2014 technical brief Scale-up your Microsoft SQL Server environment to new heights Table of contents Executive summary... 2 Introduction...
More informationCan Flash help you ride the Big Data Wave? Steve Fingerhut Vice President, Marketing Enterprise Storage Solutions Corporation
Can Flash help you ride the Big Data Wave? Steve Fingerhut Vice President, Marketing Enterprise Storage Solutions Corporation Forward-Looking Statements During our meeting today we may make forward-looking
More informationRemoving 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
More informationIntel 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 informationCisco Unified Computing System Hardware
Cisco Unified Computing System Hardware C22 M3 C24 M3 C220 M3 C220 M4 Form Factor 1RU 2RU 1RU 1RU Number of Sockets 2 2 2 2 Intel Xeon Processor Family E5-2400 and E5-2400 v2 E5-2600 E5-2600 v3 Processor
More informationDell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820
Dell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820 This white paper discusses the SQL server workload consolidation capabilities of Dell PowerEdge R820 using Virtualization.
More informationHP recommended configurations for Microsoft Exchange Server 2013 and HP ProLiant Gen8 with direct attached storage (DAS)
HP recommended configurations for Microsoft Exchange Server 2013 and HP ProLiant Gen8 with direct attached storage (DAS) Building blocks at 1000, 3000, and 5000 mailboxes Table of contents Executive summary...
More informationpræsentation oktober 2011
Johnny Olesen System X presale præsentation oktober 2011 2010 IBM Corporation 2 Hvem er jeg Dagens agenda Server overview System Director 3 4 Portfolio-wide Innovation with IBM System x and BladeCenter
More informationEinsatzfelder von IBM PureData Systems und Ihre Vorteile.
Einsatzfelder von IBM PureData Systems und Ihre Vorteile demirkaya@de.ibm.com Agenda Information technology challenges PureSystems and PureData introduction PureData for Transactions PureData for Analytics
More informationSUN ORACLE DATABASE MACHINE
SUN ORACLE DATABASE MACHINE FEATURES AND FACTS FEATURES From 2 to 8 database servers From 3 to 14 Sun Oracle Exadata Storage Servers Up to 5.3 TB of Exadata QDR (40 Gb/second) InfiniBand Switches Uncompressed
More informationFLOW-3D Performance Benchmark and Profiling. September 2012
FLOW-3D Performance Benchmark and Profiling September 2012 Note The following research was performed under the HPC Advisory Council activities Participating vendors: FLOW-3D, Dell, Intel, Mellanox Compute
More informationReference Architecture - Microsoft Exchange 2013 on Dell PowerEdge R730xd
Reference Architecture - Microsoft Exchange 2013 on Dell PowerEdge R730xd Reference Implementation for up to 8000 mailboxes Dell Global Solutions Engineering June 2015 A Dell Reference Architecture THIS
More informationEvaluation Report: HP Blade Server and HP MSA 16GFC Storage Evaluation
Evaluation Report: HP Blade Server and HP MSA 16GFC Storage Evaluation Evaluation report prepared under contract with HP Executive Summary The computing industry is experiencing an increasing demand for
More informationCisco UCS and Fusion- io take Big Data workloads to extreme performance in a small footprint: A case study with Oracle NoSQL database
Cisco UCS and Fusion- io take Big Data workloads to extreme performance in a small footprint: A case study with Oracle NoSQL database Built up on Cisco s big data common platform architecture (CPA), a
More informationMS 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 informationREPLIES TO PRE BID REPLIES FOR REQUEST FOR PROPOSAL FOR SUPPLY, INSTALLATION AND MAINTENANCE OF SERVERS & STORAGE
REPLIES TO PRE BID REPLIES FOR REQUEST FOR PROPOSAL FOR SUPPLY, INSTALLATION AND MAINTENANCE OF SERVERS & STORAGE NPCI/RFP/2015-16/IT/012 dated 27.08.2015 S.No Document Reference Page No Clause No Description
More informationAPACHE HADOOP PLATFORM HARDWARE INFRASTRUCTURE SOLUTIONS
APACHE HADOOP PLATFORM BIG DATA HARDWARE INFRASTRUCTURE SOLUTIONS 1 BIG DATA. BIG CHALLENGES. BIG OPPORTUNITY. How do you manage the VOLUME, VELOCITY & VARIABILITY of complex data streams in order to find
More informationCloud Storage. Parallels. Performance Benchmark Results. White Paper. www.parallels.com
Parallels Cloud Storage White Paper Performance Benchmark Results www.parallels.com Table of Contents Executive Summary... 3 Architecture Overview... 3 Key Features... 4 No Special Hardware Requirements...
More informationMaximum performance, minimal risk for data warehousing
SYSTEM X SERVERS SOLUTION BRIEF Maximum performance, minimal risk for data warehousing Microsoft Data Warehouse Fast Track for SQL Server 2014 on System x3850 X6 (95TB) The rapid growth of technology has
More informationHP reference configuration for entry-level SAS Grid Manager solutions
HP reference configuration for entry-level SAS Grid Manager solutions Up to 864 simultaneous SAS jobs and more than 3 GB/s I/O throughput Technical white paper Table of contents Executive summary... 2
More informationLenovo Database Configuration for Microsoft SQL Server 2014 37TB
Database Lenovo Database Configuration for Microsoft SQL Server 2014 37TB Data Warehouse Fast Track Solution Data Warehouse problem and a solution The rapid growth of technology means that the amount of
More informationBusiness white paper. HP Process Automation. Version 7.0. Server performance
Business white paper HP Process Automation Version 7.0 Server performance Table of contents 3 Summary of results 4 Benchmark profile 5 Benchmark environmant 6 Performance metrics 6 Process throughput 6
More informationOptimizing SQL Server Storage Performance with the PowerEdge R720
Optimizing SQL Server Storage Performance with the PowerEdge R720 Choosing the best storage solution for optimal database performance Luis Acosta Solutions Performance Analysis Group Joe Noyola Advanced
More informationMapR Enterprise Edition & Enterprise Database Edition
MapR Enterprise Edition & Enterprise Database Edition Reference Architecture A PSSC Labs Reference Architecture Guide June 2015 Introduction PSSC Labs continues to bring innovative compute server and cluster
More informationBenchmarking 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
More informationOracle Database Reliability, Performance and scalability on Intel Xeon platforms Mitch Shults, Intel Corporation October 2011
Oracle Database Reliability, Performance and scalability on Intel platforms Mitch Shults, Intel Corporation October 2011 1 Intel Processor E7-8800/4800/2800 Product Families Up to 10 s and 20 Threads 30MB
More informationA Smart Investment for Flexible, Modular and Scalable Blade Architecture Designed for High-Performance Computing.
Appro HyperBlade A Smart Investment for Flexible, Modular and Scalable Blade Architecture Designed for High-Performance Computing. Appro HyperBlade clusters are flexible, modular scalable offering a high-density
More informationSUN HARDWARE FROM ORACLE: PRICING FOR EDUCATION
SUN HARDWARE FROM ORACLE: PRICING FOR EDUCATION AFFORDABLE, RELIABLE, AND GREAT PRICES FOR EDUCATION Optimized Sun systems run Oracle and other leading operating and virtualization platforms with greater
More informationCost Efficient VDI. XenDesktop 7 on Commodity Hardware
Cost Efficient VDI XenDesktop 7 on Commodity Hardware 1 Introduction An increasing number of enterprises are looking towards desktop virtualization to help them respond to rising IT costs, security concerns,
More informationPSAM, NEC PCIe SSD Appliance for Microsoft SQL Server (Reference Architecture) September 11 th, 2014 NEC Corporation
PSAM, NEC PCIe SSD Appliance for Microsoft SQL Server (Reference Architecture) September 11 th, 2014 NEC Corporation 1. Overview of NEC PCIe SSD Appliance for Microsoft SQL Server Page 2 NEC Corporation
More informationDIABLO 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 informationStorageBox 1000. High Performance NVMe JBOF
High Performance NVMe JBOF The High Capacity, Fastest and Most Modular Direct Attached NVMe Storage Device for VDI and HPC BLAZING 12GB/s SPEED 8 DRIVES [1U ] WORKS WITH ANY SERVER The Magma StorageBox
More informationElasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack
Elasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack HIGHLIGHTS Real-Time Results Elasticsearch on Cisco UCS enables a deeper
More informationDell Microsoft Business Intelligence and Data Warehousing Reference Configuration Performance Results Phase III
White Paper Dell Microsoft Business Intelligence and Data Warehousing Reference Configuration Performance Results Phase III Performance of Microsoft SQL Server 2008 BI and D/W Solutions on Dell PowerEdge
More informationThe 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
More informationIBM Europe Announcement ZG08-0232, dated March 11, 2008
IBM Europe Announcement ZG08-0232, dated March 11, 2008 IBM System x3450 servers feature fast Intel Xeon 2.80 GHz/1600 MHz, 3.0 GHz/1600 MHz, both with 12 MB L2, and 3.4 GHz/1600 MHz, with 6 MB L2 processors,
More informationDeploying Ceph with High Performance Networks, Architectures and benchmarks for Block Storage Solutions
WHITE PAPER May 2014 Deploying Ceph with High Performance Networks, Architectures and benchmarks for Block Storage Solutions Contents Executive Summary...2 Background...2 Network Configuration...3 Test
More informationHUAWEI Tecal E6000 Blade Server
HUAWEI Tecal E6000 Blade Server Professional Trusted Future-oriented HUAWEI TECHNOLOGIES CO., LTD. The HUAWEI Tecal E6000 is a new-generation server platform that guarantees comprehensive and powerful
More informationVDI Without Compromise with SimpliVity OmniStack and Citrix XenDesktop
VDI Without Compromise with SimpliVity OmniStack and Citrix XenDesktop Page 1 of 11 Introduction Virtual Desktop Infrastructure (VDI) provides customers with a more consistent end-user experience and excellent
More informationSUN ORACLE DATABASE MACHINE
SUN ORACLE DATABASE MACHINE FEATURES AND FACTS FEATURES From 1 to 8 database servers From 1 to 14 Sun Oracle Exadata Storage Servers Each Exadata Storage Server includes 384 GB of Exadata Smart Flash Cache
More informationOracle Exadata: The World s Fastest Database Machine Exadata Database Machine Architecture
Oracle Exadata: The World s Fastest Database Machine Exadata Database Machine Architecture Ron Weiss, Exadata Product Management Exadata Database Machine Best Platform to Run the
More informationLSI MegaRAID FastPath Performance Evaluation in a Web Server Environment
LSI MegaRAID FastPath Performance Evaluation in a Web Server Environment Evaluation report prepared under contract with LSI Corporation Introduction Interest in solid-state storage (SSS) is high, and IT
More informationIntroduction 1 Performance on Hosted Server 1. Benchmarks 2. System Requirements 7 Load Balancing 7
Introduction 1 Performance on Hosted Server 1 Figure 1: Real World Performance 1 Benchmarks 2 System configuration used for benchmarks 2 Figure 2a: New tickets per minute on E5440 processors 3 Figure 2b:
More informationBrainlab Node TM Technical Specifications
Brainlab Node TM Technical Specifications BRAINLAB NODE TM HP ProLiant DL360p Gen 8 CPU: Chipset: RAM: HDD: RAID: Graphics: LAN: HW Monitoring: Height: Width: Length: Weight: Operating System: 2x Intel
More informationTheraDoc v4.6.1 Hardware and Software Requirements
TheraDoc v4.6.1 Hardware and Software Requirements In preparation for the release of TheraDoc v4.6.1, we have the following important information to communicate. Client Workstation Browser Requirements
More informationCisco SmartPlay Select. Cisco Global Data Center Promotional Program
Cisco SmartPlay Select Cisco Global Data Center Promotional Program SmartPlay Select Program Program Goals and Benefits UCS Promotional offers to accelerate new UCS customers acquisition by showcase Cisco
More informationHadoop on the Gordon Data Intensive Cluster
Hadoop on the Gordon Data Intensive Cluster Amit Majumdar, Scientific Computing Applications Mahidhar Tatineni, HPC User Services San Diego Supercomputer Center University of California San Diego Dec 18,
More informationMicrosoft Private Cloud Fast Track Reference Architecture
Microsoft Private Cloud Fast Track Reference Architecture Microsoft Private Cloud Fast Track is a reference architecture designed to help build private clouds by combining Microsoft software with NEC s
More informationHPC Update: Engagement Model
HPC Update: Engagement Model MIKE VILDIBILL Director, Strategic Engagements Sun Microsystems mikev@sun.com Our Strategy Building a Comprehensive HPC Portfolio that Delivers Differentiated Customer Value
More informationVirtuoso and Database Scalability
Virtuoso and Database Scalability By Orri Erling Table of Contents Abstract Metrics Results Transaction Throughput Initializing 40 warehouses Serial Read Test Conditions Analysis Working Set Effect of
More informationC460 M4 Flexible Compute for SAP HANA Landscapes. Judy Lee julee2@cisco.com Released: April, 2015
C460 M4 Flexible Compute for SAP HANA Landscapes Judy Lee julee2@cisco.com Released: April, 2015 UCS Compute Portfolio Performance Optimized for Bare Metal, Virtualized, and Cloud Applications Cloud Scale
More informationHUAWEI TECHNOLOGIES CO., LTD. HUAWEI FusionServer X6800 Data Center Server
HUAWEI TECHNOLOGIES CO., LTD. HUAWEI FusionServer X6800 Data Center Server HUAWEI FusionServer X6800 Data Center Server Data Center Cloud Internet App Big Data HPC As the IT infrastructure changes with
More informationFUJITSU Enterprise Product & Solution Facts
FUJITSU Enterprise Product & Solution Facts shaping tomorrow with you Business-Centric Data Center The way ICT delivers value is fundamentally changing. Mobile, Big Data, cloud and social media are driving
More informationIBM System x family brochure
IBM Systems and Technology System x IBM System x family brochure IBM System x rack and tower servers 2 IBM System x family brochure IBM System x servers Highlights IBM System x and BladeCenter servers
More informationData Sheet FUJITSU Server PRIMERGY CX400 M1 Multi-Node Server Enclosure
Data Sheet FUJITSU Server PRIMERGY CX400 M1 Multi-Node Server Enclosure Data Sheet FUJITSU Server PRIMERGY CX400 M1 Multi-Node Server Enclosure Scale-Out Smart for HPC, Cloud and Hyper-Converged Computing
More informationHUAWEI Tecal E9000 Converged Infrastructure Blade Server
E9000 Converged Infrastructure Blade Server Professional Trusted Future-oriented HUAWEI TECHNOLOGIES CO., LTD. The E9000 is a new-generation blade server that integrates computing, storage, switching,
More informationI/O Performance of Cisco UCS M-Series Modular Servers with Cisco UCS M142 Compute Cartridges
White Paper I/O Performance of Cisco UCS M-Series Modular Servers with Cisco UCS M142 Compute Cartridges October 2015 2015 Cisco and/or its affiliates. All rights reserved. This document is Cisco Public.
More informationIntel RAID SSD Cache Controller RCS25ZB040
SOLUTION Brief Intel RAID SSD Cache Controller RCS25ZB040 When Faster Matters Cost-Effective Intelligent RAID with Embedded High Performance Flash Intel RAID SSD Cache Controller RCS25ZB040 When Faster
More informationDell Virtual Remote Desktop Reference Architecture. Technical White Paper Version 1.0
Dell Virtual Remote Desktop Reference Architecture Technical White Paper Version 1.0 July 2010 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES.
More informationPart-1: SERVER AND PC
Part-1: SERVER AND PC Item Item Details Manufacturer Quantity Unit Price Total Dell server or equivalent Intel Xeon E5-2420 1.90GHz, 15M Cache, 7.2GT/s QPI, Turbo, 6C, 95W or equivalent PCIE Riser for
More informationHortonworks Data Platform Reference Architecture
Hortonworks Data Platform Reference Architecture A PSSC Labs Reference Architecture Guide December 2014 Introduction PSSC Labs continues to bring innovative compute server and cluster platforms to market.
More informationAn Alternative Storage Solution for MapReduce. Eric Lomascolo Director, Solutions Marketing
An Alternative Storage Solution for MapReduce Eric Lomascolo Director, Solutions Marketing MapReduce Breaks the Problem Down Data Analysis Distributes processing work (Map) across compute nodes and accumulates
More informationMicrosoft SQL Server 2014 Fast Track
Microsoft SQL Server 2014 Fast Track 34-TB Certified Data Warehouse 103-TB Maximum User Data Tegile Systems Solution Review 2U Design: Featuring Tegile T3800 All-Flash Storage Array http:// www.tegile.com/solutiuons/sql
More informationLenovo Database Configuration for Microsoft SQL Server 2016 45TB
Database Lenovo Database Configuration for Microsoft SQL Server 2016 45TB Data Warehouse Fast Track Solution Data Warehouse problem and a solution The rapid growth of technology means that the amount of
More informationBoost Database Performance with the Cisco UCS Storage Accelerator
Boost Database Performance with the Cisco UCS Storage Accelerator Performance Brief February 213 Highlights Industry-leading Performance and Scalability Offloading full or partial database structures to
More informationDeIC Watson Agreement - hvad betyder den for DeIC medlemmerne
DeIC Watson Agreement - hvad betyder den for DeIC medlemmerne Preben Jacobsen Solution Architect Nordic Lead, Software Defined Infrastructure Group IBM Danmark 2014 IBM Corporation Link: https://www.youtube.com/watch?v=_xcmh1lqb9i
More informationCisco for SAP HANA Scale-Out Solution on Cisco UCS with NetApp Storage
Cisco for SAP HANA Scale-Out Solution Solution Brief December 2014 With Intelligent Intel Xeon Processors Highlights Scale SAP HANA on Demand Scale-out capabilities, combined with high-performance NetApp
More informationDiablo and VMware TM powering SQL Server TM in Virtual SAN TM. A Diablo Technologies Whitepaper. May 2015
A Diablo Technologies Whitepaper Diablo and VMware TM powering SQL Server TM in Virtual SAN TM May 2015 Ricky Trigalo, Director for Virtualization Solutions Architecture, Diablo Technologies Daniel Beveridge,
More informationHow To Build A Cisco Ukcsob420 M3 Blade Server
Data Sheet Cisco UCS B420 M3 Blade Server Product Overview The Cisco Unified Computing System (Cisco UCS ) combines Cisco UCS B-Series Blade Servers and C-Series Rack Servers with networking and storage
More informationAvid ISIS 7000. www.avid.com
Avid ISIS 7000 www.avid.com Table of Contents Overview... 3 Avid ISIS Technology Overview... 6 ISIS Storage Blade... 6 ISIS Switch Blade... 7 ISIS System Director... 7 ISIS Client Software... 8 ISIS Redundant
More informationAnalyzing Big Data with Splunk A Cost Effective Storage Architecture and Solution
Analyzing Big Data with Splunk A Cost Effective Storage Architecture and Solution Jonathan Halstuch, COO, RackTop Systems JHalstuch@racktopsystems.com Big Data Invasion We hear so much on Big Data and
More informationData Sheet FUJITSU Server PRIMERGY CX272 S1 Dual socket server node for PRIMERGY CX420 cluster server
Data Sheet FUJITSU Server PRIMERGY CX272 S1 Dual socket node for PRIMERGY CX420 cluster Data Sheet FUJITSU Server PRIMERGY CX272 S1 Dual socket node for PRIMERGY CX420 cluster Strong Performance and Cluster
More informationHA Certification Document Armari BrontaStor 822R 07/03/2013. Open-E High Availability Certification report for Armari BrontaStor 822R
Open-E High Availability Certification report for Armari BrontaStor 822R 1 Executive summary After successfully passing all the required tests, the Armari BrontaStor 822R is now officially declared as
More informationQuickSpecs. What's New Support for two InfiniBand 4X QDR 36P Managed Switches
QuickSpecs Overview 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Control Rack - Front View InfiniBand 4X QDR 36P Managed Switch (2) Backup server and storage (configuration and space required dependent upon total capacity
More informationTransforming your IT Infrastructure for Improved ROI. October 2013
1 Transforming your IT Infrastructure for Improved ROI October 2013 Legal Notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Software
More informationAccelerate Big Data Analysis with Intel Technologies
White Paper Intel Xeon processor E7 v2 Big Data Analysis Accelerate Big Data Analysis with Intel Technologies Executive Summary It s not very often that a disruptive technology changes the way enterprises
More informationCisco Unified Computing System and EMC VNX5300 Unified Storage Platform
Cisco Unified Computing System and EMC VNX5300 Unified Storage Platform Implementing an Oracle Data Warehouse Test Workload White Paper January 2011, Revision 1.0 Contents Executive Summary... 3 Cisco
More informationPCIe Over Cable Provides Greater Performance for Less Cost for High Performance Computing (HPC) Clusters. from One Stop Systems (OSS)
PCIe Over Cable Provides Greater Performance for Less Cost for High Performance Computing (HPC) Clusters from One Stop Systems (OSS) PCIe Over Cable PCIe provides greater performance 8 7 6 5 GBytes/s 4
More informationIntel Solid-State Drives Increase Productivity of Product Design and Simulation
WHITE PAPER Intel Solid-State Drives Increase Productivity of Product Design and Simulation Intel Solid-State Drives Increase Productivity of Product Design and Simulation A study of how Intel Solid-State
More informationQUESTIONS & ANSWERS. ItB tender 72-09: IT Equipment. Elections Project
QUESTIONS & ANSWERS ItB tender 72-09: IT Equipment. Elections Project In lot 1, position 1 - Server for Data Base 1. Q: You order Microsoft Windows Server 2008, 64 bit, Enterprise, License with 25 or more
More informationSun 8Gb/s Fibre Channel HBA Performance Advantages for Oracle Database
Performance Advantages for Oracle Database At a Glance This Technical Brief illustrates that even for smaller online transaction processing (OLTP) databases, the Sun 8Gb/s Fibre Channel Host Bus Adapter
More informationSun Microsystems Special Promotions for Education and Research January 9, 2007
Sun Microsystems Special Promotions for Education and Research Solve big problems on a small budget with Sun-Education s trusted partner for cutting-edge technology solutions. Sun solutions help your campus
More informationHP SN1000E 16 Gb Fibre Channel HBA Evaluation
HP SN1000E 16 Gb Fibre Channel HBA Evaluation Evaluation report prepared under contract with Emulex Executive Summary The computing industry is experiencing an increasing demand for storage performance
More informationCORRIGENDUM TO TENDER FOR HIGH PERFORMANCE SERVER
CORRIGENDUM TO TENDER FOR HIGH PERFORMANCE SERVER Tender Notice No. 3/2014-15 dated 29.12.2014 (IIT/CE/ENQ/COM/HPC/2014-15/569) Tender Submission Deadline Last date for submission of sealed bids is extended
More informationSUN ORACLE EXADATA STORAGE SERVER
SUN ORACLE EXADATA STORAGE SERVER KEY FEATURES AND BENEFITS FEATURES 12 x 3.5 inch SAS or SATA disks 384 GB of Exadata Smart Flash Cache 2 Intel 2.53 Ghz quad-core processors 24 GB memory Dual InfiniBand
More informationNews and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren
News and trends in Data Warehouse Automation, Big Data and BI Johan Hendrickx & Dirk Vermeiren Extreme Agility from Source to Analysis DWH Appliances & DWH Automation Typical Architecture 3 What Business
More informationNEC Micro Modular Server Introduction. NEC November 18,2014
NEC Micro Modular Server Introduction NEC November 18,2014 Market Trend Cloud Computing Public cloud service market is growing. It is expected over 20% of annual growth. Cloud services used in companies
More informationFOR IMMEDIATE RELEASE
FOR IMMEDIATE RELEASE IBM s New Generation of Intel -based Servers, Software Cuts Through Data Center Chaos Less expensive to run and simpler to manage, IBM launches new generation of x86 System x racks,
More informationMicrosoft SharePoint Server 2010
Microsoft SharePoint Server 2010 Medium Farm Solution Performance Study Dell SharePoint Solutions Ravikanth Chaganti and Quocdat Nguyen August 2010 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY,
More informationPivot3 Reference Architecture for VMware View Version 1.03
Pivot3 Reference Architecture for VMware View Version 1.03 January 2012 Table of Contents Test and Document History... 2 Test Goals... 3 Reference Architecture Design... 4 Design Overview... 4 The Pivot3
More informationIBM PureData System for Operational Analytics
IBM PureData System for Operational Analytics An integrated, high-performance data system for operational analytics Highlights Provides an integrated, optimized, ready-to-use system with built-in expertise
More information