University College London. Department of Computer Science

Size: px
Start display at page:

Download "University College London. Department of Computer Science"

Transcription

1 Aspects of a Processing Grid Peter T. Kirstein P.Kirsteincs.ucl.ac.uk Søren-Aksel Sørensen S.Sorensencs.ucl.ac.uk Stefano A. Street S.Streetcs.ucl.ac.uk Sheng Jiang S.Jiangcs.ucl.ac.uk University College London 1

2 Processing scenarios Batch processing Large number of small (10 s mins) jobs Typical for Bioinformatics and HEP. Resource hungry but not fussy. Large data sets. Interactive experimentation Single distributed job User controlled (haptic steering) Dynamic resource requirements Performance sensitive (latency) Visualization and steering 2

3 Cluster computing Switch Advantages Cost effective solution to resource shortage Simple security (isolated environment) Easy management. Problems Switching cost (Ethernet) Task mixing (delay vs. throughput) Resource management (time sharing, performance protection) 3

4 Cluster of clusters Large systems can be created from a hierarchy of sub-clusters. The UCL cluster uses this architecture Gigabit switch Switch Switch Switch Still growth problems (eg. power and cooling) Utilisation problems 4

5 Multi-domain clusters Internet Problems Security Load balancing Resource discovery 5

6 6

7 7

8 Application User interface via DAS Web interface UCL Web interface IC Web interface EBI RDB of annotation UCL RDB of annotation IC RDB of annotation EBI Transparent Processing System CPUs UCL-CS CPUs Biochem Resource Management under GLOBUS CPUs IC CPUs EBI 8

9 Distributed GenTHREADER Configuration User annotation submission committed via Web Form Web service filters & divides sequence file into sub jobs Web-based Submission Interface Grid Distribution Manager Globus GenTREADER GenTREADER SGE SGE GenTREADER SGE GenTREADER GenTREADER GenTREADER 9

10 eprotein current production setup JANet Front End IC SGE GT2 IPv4 UCL BioChem Front End UCL Backbone Front End UCL CS 10

11 eprotein future setup EBI Front End JANet Front End IC SGE GT3 IPv6 VPFS UCL BioChem Front End UCL Backbone Front End UCL CS 11

12 IPv6 Advantages Larger Address Space Mobility Support Built-in Security Hooks for QoS Better Auto-configuration End-to-end Addressing Deploys New Technologies 12

13 Grid over IPv6 Full availability of IPv6 will allow provision of better Grid services Mobility support in distributed networks or globalscale networks Performance potentially much better Auto-configuration for resource discovery Allow separation of addressing and routing Better group communication Better security 13

14 Demonstrator Setup Intel Linux (Red Hat ) GT3 (alpha) Java (Sun SDK 1.4.1) IP-independent - Class InetAddress used everywhere Inet4Address Inet6Address Tomcat lightweight edition 14

15 Testing GenTREADER setup GT3 GRAM services Local subnets Gigabit switch Switch Switch Switch 15

16 Interactive use Distributed systems use PVM/MPI2 Dynamic scheduling through dummies Dummy process scheduled by SGE. Extra resource communicated to application. Dummy replaced by application process. Priorities used to favour interactive processes Cluster wide process control. 16

DiPerF: automated DIstributed PERformance testing Framework

DiPerF: automated DIstributed PERformance testing Framework DiPerF: automated DIstributed PERformance testing Framework Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian Foster Distributed Systems Laboratory Computer Science Department University of Chicago Introduction

More information

Grid Scheduling Architectures with Globus

Grid Scheduling Architectures with Globus Grid Scheduling Architectures with Workshop on Scheduling WS 07 Cetraro, Italy July 28, 2007 Ignacio Martin Llorente Distributed Systems Architecture Group Universidad Complutense de Madrid 1/38 Contents

More information

Integrating SGE and Globus in a Heterogeneous HPC Environment

Integrating SGE and Globus in a Heterogeneous HPC Environment Integrating SGE and Globus in a Heterogeneous HPC Environment David McBride London e-science Centre, Department of Computing, Imperial College Presentation Outline Overview of Centre

More information

Dynamic Virtual Clusters in a Grid Site Manager

Dynamic Virtual Clusters in a Grid Site Manager Dynamic Virtual Clusters in a Grid Site Manager Jeff Chase, David Irwin, Laura Grit, Justin Moore, Sara Sprenkle Department of Computer Science Duke University Dynamic Virtual Clusters Grid Services Grid

More information

NUSGRID a computational grid at NUS

NUSGRID a computational grid at NUS NUSGRID a computational grid at NUS Grace Foo (SVU/Academic Computing, Computer Centre) SVU is leading an initiative to set up a campus wide computational grid prototype at NUS. The initiative arose out

More information

1 Copyright 2011, Oracle and/or its affiliates. All rights reserved.

1 Copyright 2011, Oracle and/or its affiliates. All rights reserved. 1 Copyright 2011, Oracle and/or its affiliates. All rights ORACLE PRODUCT LOGO Solaris 11 Networking Overview Sebastien Roy, Senior Principal Engineer Solaris Core OS, Oracle 2 Copyright 2011, Oracle and/or

More information

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing New Paradigms: Clouds, Virtualization and Co. EGEE08, Istanbul, September 25, 2008 An Introduction to Virtualization and Cloud Technologies to Support Grid Computing Distributed Systems Architecture Research

More information

rid Computing: An Indistry View

rid Computing: An Indistry View rid Computing: An Indistry View ision, Strategy, Software, Examples Wolfgang Gentzsch Director Grid Computing Sun Microsystems Inc Agenda Grid Computing: Vision & Strategy Architecture Building Blocks

More information

The Oracle Database Appliance I/O and Performance Architecture

The Oracle Database Appliance I/O and Performance Architecture Simple Reliable Affordable The Oracle Database Appliance I/O and Performance Architecture Tammy Bednar, Sr. Principal Product Manager, ODA 1 Copyright 2012, Oracle and/or its affiliates. All rights reserved.

More information

MERCED CLUSTER BASICS Multi-Environment Research Computer for Exploration and Discovery A Centerpiece for Computational Science at UC Merced

MERCED CLUSTER BASICS Multi-Environment Research Computer for Exploration and Discovery A Centerpiece for Computational Science at UC Merced MERCED CLUSTER BASICS Multi-Environment Research Computer for Exploration and Discovery A Centerpiece for Computational Science at UC Merced Sarvani Chadalapaka HPC Administrator University of California

More information

The University of Oxford campus grid, expansion and integrating new partners. Dr. David Wallom Technical Manager

The University of Oxford campus grid, expansion and integrating new partners. Dr. David Wallom Technical Manager The University of Oxford campus grid, expansion and integrating new partners Dr. David Wallom Technical Manager Outline Overview of OxGrid Self designed components Users Resources, adding new local or

More information

CloudBATCH: A Batch Job Queuing System on Clouds with Hadoop and HBase. Chen Zhang Hans De Sterck University of Waterloo

CloudBATCH: A Batch Job Queuing System on Clouds with Hadoop and HBase. Chen Zhang Hans De Sterck University of Waterloo CloudBATCH: A Batch Job Queuing System on Clouds with Hadoop and HBase Chen Zhang Hans De Sterck University of Waterloo Outline Introduction Motivation Related Work System Design Future Work Introduction

More information

IPv6, Grid Computing and Scaling Up the Internet

IPv6, Grid Computing and Scaling Up the Internet IPv6, Grid Computing and Scaling Up the Internet Brian E Carpenter IBM and 6NET Ian Foster Argonne National Laboratory, University of Chicago, and Globus June 2003 brian@hursley.ibm.com foster@mcs.anl.gov

More information

GT 4.2.0: Community Scheduler Framework (CSF) System Administrator's Guide

GT 4.2.0: Community Scheduler Framework (CSF) System Administrator's Guide GT 4.2.0: Community Scheduler Framework (CSF) System Administrator's Guide GT 4.2.0: Community Scheduler Framework (CSF) System Administrator's Guide Introduction This guide contains advanced configuration

More information

Corral: A Glide-in Based Service for Resource Provisioning

Corral: A Glide-in Based Service for Resource Provisioning : A Glide-in Based Service for Resource Provisioning Gideon Juve USC Information Sciences Institute juve@usc.edu Outline Throughput Applications Grid Computing Multi-level scheduling and Glideins Example:

More information

Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation

Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation Large-Scale Data & Systems Group Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation Georgios Theodorakis, Alexandros Koliousis, Peter Pietzuch, Holger Pirk Large-Scale Data & Systems (LSDS)

More information

QuickSpecs. Models. HP NC510C PCIe 10 Gigabit Server Adapter. Overview

QuickSpecs. Models. HP NC510C PCIe 10 Gigabit Server Adapter. Overview Overview The NC510C is a x8 PCI Express (PCIe) 10 Gigabit Ethernet CX4 (10GBASE-CX4 copper) network solution offering the highest bandwidth available in a ProLiant Ethernet adapter. This high-performance,

More information

Ioan Raicu. Everyone else. More information at: Background? What do you want to get out of this course?

Ioan Raicu. Everyone else. More information at: Background? What do you want to get out of this course? Ioan Raicu More information at: http://www.cs.iit.edu/~iraicu/ Everyone else Background? What do you want to get out of this course? 2 Data Intensive Computing is critical to advancing modern science Applies

More information

Distributed ASCI Supercomputer DAS-1 DAS-2 DAS-3 DAS-4 DAS-5

Distributed ASCI Supercomputer DAS-1 DAS-2 DAS-3 DAS-4 DAS-5 Distributed ASCI Supercomputer DAS-1 DAS-2 DAS-3 DAS-4 DAS-5 Paper IEEE Computer (May 2016) What is DAS? Distributed common infrastructure for Dutch Computer Science Distributed: multiple (4-6) clusters

More information

High Performance Computing and Data Mining

High Performance Computing and Data Mining High Performance Computing and Data Mining Performance Issues in Data Mining Peter Christen Peter.Christen@anu.edu.au Data Mining Group Department of Computer Science, FEIT Australian National University,

More information

OAR batch scheduler and scheduling on Grid'5000

OAR batch scheduler and scheduling on Grid'5000 http://oar.imag.fr OAR batch scheduler and scheduling on Grid'5000 Olivier Richard (UJF/INRIA) joint work with Nicolas Capit, Georges Da Costa, Yiannis Georgiou, Guillaume Huard, Cyrille Martin, Gregory

More information

Grid Compute Resources and Job Management

Grid Compute Resources and Job Management Grid Compute Resources and Job Management How do we access the grid? Command line with tools that you'll use Specialised applications Ex: Write a program to process images that sends data to run on the

More information

LAN design. Chapter 1

LAN design. Chapter 1 LAN design Chapter 1 1 Topics Networks and business needs The 3-level hierarchical network design model Including voice and video over IP in the design Devices at each layer of the hierarchy Cisco switches

More information

Real Parallel Computers

Real Parallel Computers Real Parallel Computers Modular data centers Background Information Recent trends in the marketplace of high performance computing Strohmaier, Dongarra, Meuer, Simon Parallel Computing 2005 Short history

More information

30 Nov Dec Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy

30 Nov Dec Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy Why the Grid? Science is becoming increasingly digital and needs to deal with increasing amounts of

More information

The Elasticity and Plasticity in Semi-Containerized Colocating Cloud Workload: a view from Alibaba Trace

The Elasticity and Plasticity in Semi-Containerized Colocating Cloud Workload: a view from Alibaba Trace The Elasticity and Plasticity in Semi-Containerized Colocating Cloud Workload: a view from Alibaba Trace Qixiao Liu* and Zhibin Yu Shenzhen Institute of Advanced Technology Chinese Academy of Science @SoCC

More information

Scaling to Petaflop. Ola Torudbakken Distinguished Engineer. Sun Microsystems, Inc

Scaling to Petaflop. Ola Torudbakken Distinguished Engineer. Sun Microsystems, Inc Scaling to Petaflop Ola Torudbakken Distinguished Engineer Sun Microsystems, Inc HPC Market growth is strong CAGR increased from 9.2% (2006) to 15.5% (2007) Market in 2007 doubled from 2003 (Source: IDC

More information

HPC and IT Issues Session Agenda. Deployment of Simulation (Trends and Issues Impacting IT) Mapping HPC to Performance (Scaling, Technology Advances)

HPC and IT Issues Session Agenda. Deployment of Simulation (Trends and Issues Impacting IT) Mapping HPC to Performance (Scaling, Technology Advances) HPC and IT Issues Session Agenda Deployment of Simulation (Trends and Issues Impacting IT) Discussion Mapping HPC to Performance (Scaling, Technology Advances) Discussion Optimizing IT for Remote Access

More information

Preemptive, Low Latency Datacenter Scheduling via Lightweight Virtualization

Preemptive, Low Latency Datacenter Scheduling via Lightweight Virtualization Preemptive, Low Latency Datacenter Scheduling via Lightweight Virtualization Wei Chen, Jia Rao*, and Xiaobo Zhou University of Colorado, Colorado Springs * University of Texas at Arlington Data Center

More information

Workflow, Planning and Performance Information, information, information Dr Andrew Stephen M c Gough

Workflow, Planning and Performance Information, information, information Dr Andrew Stephen M c Gough Workflow, Planning and Performance Information, information, information Dr Andrew Stephen M c Gough Technical Coordinator London e-science Centre Imperial College London 17 th March 2006 Outline Where

More information

46PaQ. Dimitris Miras, Saleem Bhatti, Peter Kirstein Networks Research Group Computer Science UCL. 46PaQ AHM 2005 UKLIGHT Workshop, 19 Sep

46PaQ. Dimitris Miras, Saleem Bhatti, Peter Kirstein Networks Research Group Computer Science UCL. 46PaQ AHM 2005 UKLIGHT Workshop, 19 Sep 46PaQ Dimitris Miras, Saleem Bhatti, Peter Kirstein Networks Research Group Computer Science UCL 46PaQ AHM 2005 UKLIGHT Workshop, 19 Sep 2005 1 Today s talk Overview Current Status and Results Future Work

More information

Introduction to mobile performance testing

Introduction to mobile performance testing Introduction to mobile performance testing Igor Markov, Shlomi Zalma, Shane Evans, Wilson Mar June 11 & 13, 2013 HP LoadRunner components End User Client(s) Internet/WAN Application Server(s) Database

More information

BOSCO Architecture. Derek Weitzel University of Nebraska Lincoln

BOSCO Architecture. Derek Weitzel University of Nebraska Lincoln BOSCO Architecture Derek Weitzel University of Nebraska Lincoln Goals We want an easy to use method for users to do computational research It should be easy to install, use, and maintain It should be simple

More information

Deploying virtualisation in a production grid

Deploying virtualisation in a production grid Deploying virtualisation in a production grid Stephen Childs Trinity College Dublin & Grid-Ireland TERENA NRENs and Grids workshop 2 nd September 2008 www.eu-egee.org EGEE and glite are registered trademarks

More information

Chapter 3. Design of Grid Scheduler. 3.1 Introduction

Chapter 3. Design of Grid Scheduler. 3.1 Introduction Chapter 3 Design of Grid Scheduler The scheduler component of the grid is responsible to prepare the job ques for grid resources. The research in design of grid schedulers has given various topologies

More information

SUN CUSTOMER READY HPC CLUSTER: REFERENCE CONFIGURATIONS WITH SUN FIRE X4100, X4200, AND X4600 SERVERS Jeff Lu, Systems Group Sun BluePrints OnLine

SUN CUSTOMER READY HPC CLUSTER: REFERENCE CONFIGURATIONS WITH SUN FIRE X4100, X4200, AND X4600 SERVERS Jeff Lu, Systems Group Sun BluePrints OnLine SUN CUSTOMER READY HPC CLUSTER: REFERENCE CONFIGURATIONS WITH SUN FIRE X4100, X4200, AND X4600 SERVERS Jeff Lu, Systems Group Sun BluePrints OnLine April 2007 Part No 820-1270-11 Revision 1.1, 4/18/07

More information

Update on EZ-Grid. Priya Raghunath University of Houston. PI : Dr Barbara Chapman

Update on EZ-Grid. Priya Raghunath University of Houston. PI : Dr Barbara Chapman Update on EZ-Grid Priya Raghunath University of Houston PI : Dr Barbara Chapman chapman@cs.uh.edu Outline Campus Grid at the University of Houston (UH) Functionality of EZ-Grid Design and Implementation

More information

Whitepaper / Benchmark

Whitepaper / Benchmark Whitepaper / Benchmark Web applications on LAMP run up to 8X faster with Dolphin Express DOLPHIN DELIVERS UNPRECEDENTED PERFORMANCE TO THE LAMP-STACK MARKET Marianne Ronström Open Source Consultant iclaustron

More information

ORACLE FABRIC MANAGER

ORACLE FABRIC MANAGER ORACLE FABRIC MANAGER MANAGE CONNECTIVITY IN REAL TIME KEY BENEFITS Control connectivity across servers from a single screen. Instantly replicate connectivity configurations across a group of servers with

More information

The Missing Piece of Virtualization. I/O Virtualization on 10 Gb Ethernet For Virtualized Data Centers

The Missing Piece of Virtualization. I/O Virtualization on 10 Gb Ethernet For Virtualized Data Centers The Missing Piece of Virtualization I/O Virtualization on 10 Gb Ethernet For Virtualized Data Centers Agenda 10 GbE Adapters Built for Virtualization I/O Throughput: Virtual & Non-Virtual Servers Case

More information

IBM Db2 Analytics Accelerator Version 7.1

IBM Db2 Analytics Accelerator Version 7.1 IBM Db2 Analytics Accelerator Version 7.1 Delivering new flexible, integrated deployment options Overview Ute Baumbach (bmb@de.ibm.com) 1 IBM Z Analytics Keep your data in place a different approach to

More information

S I T E I N F R A S T R U C T U R E C U R R E N T P R O B L E M S A N D P R O P O S E D S O L U T I O N S

S I T E I N F R A S T R U C T U R E C U R R E N T P R O B L E M S A N D P R O P O S E D S O L U T I O N S Liverpool HEP Computing S I T E I N F R A S T R U C T U R E C U R R E N T P R O B L E M S A N D P R O P O S E D S O L U T I O N S Cooling Air condition and water cooling units that need regular manual

More information

Parallel & Cluster Computing. cs 6260 professor: elise de doncker by: lina hussein

Parallel & Cluster Computing. cs 6260 professor: elise de doncker by: lina hussein Parallel & Cluster Computing cs 6260 professor: elise de doncker by: lina hussein 1 Topics Covered : Introduction What is cluster computing? Classification of Cluster Computing Technologies: Beowulf cluster

More information

Javaentwicklung in der Oracle Cloud

Javaentwicklung in der Oracle Cloud Javaentwicklung in der Oracle Cloud Sören Halter Principal Sales Consultant 2016-11-17 Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information

More information

Parallel Computing at DESY Zeuthen. Introduction to Parallel Computing at DESY Zeuthen and the new cluster machines

Parallel Computing at DESY Zeuthen. Introduction to Parallel Computing at DESY Zeuthen and the new cluster machines Parallel Computing at DESY Zeuthen. Introduction to Parallel Computing at DESY Zeuthen and the new cluster machines Götz Waschk Technical Seminar, Zeuthen April 27, 2010 > Introduction > Hardware Infiniband

More information

Building a Data-Friendly Platform for a Data- Driven Future

Building a Data-Friendly Platform for a Data- Driven Future Building a Data-Friendly Platform for a Data- Driven Future Benjamin Hindman - @benh 2016 Mesosphere, Inc. All Rights Reserved. INTRO $ whoami BENJAMIN HINDMAN Co-founder and Chief Architect of Mesosphere,

More information

Oracle Database 11g Direct NFS Client Oracle Open World - November 2007

Oracle Database 11g Direct NFS Client Oracle Open World - November 2007 Oracle Database 11g Client Oracle Open World - November 2007 Bill Hodak Sr. Product Manager Oracle Corporation Kevin Closson Performance Architect Oracle Corporation Introduction

More information

THE OPEN DATA CENTER FABRIC FOR THE CLOUD

THE OPEN DATA CENTER FABRIC FOR THE CLOUD Product overview THE OPEN DATA CENTER FABRIC FOR THE CLOUD The Open Data Center Fabric for the Cloud The Xsigo Data Center Fabric revolutionizes data center economics by creating an agile, highly efficient

More information

Introduction to Grid Computing

Introduction to Grid Computing Milestone 2 Include the names of the papers You only have a page be selective about what you include Be specific; summarize the authors contributions, not just what the paper is about. You might be able

More information

Efficient QoS for Multi-Tiered Storage Systems

Efficient QoS for Multi-Tiered Storage Systems Efficient QoS for Multi-Tiered Storage Systems Ahmed Elnably Hui Wang Peter Varman Rice University Ajay Gulati VMware Inc Tiered Storage Architecture Client Multi-Tiered Array Client 2 Scheduler SSDs...

More information

Globus Toolkit 4 Execution Management. Alexandra Jimborean International School of Informatics Hagenberg, 2009

Globus Toolkit 4 Execution Management. Alexandra Jimborean International School of Informatics Hagenberg, 2009 Globus Toolkit 4 Execution Management Alexandra Jimborean International School of Informatics Hagenberg, 2009 2 Agenda of the day Introduction to Globus Toolkit and GRAM Zoom In WS GRAM Usage Guide Architecture

More information

Users and utilization of CERIT-SC infrastructure

Users and utilization of CERIT-SC infrastructure Users and utilization of CERIT-SC infrastructure Equipment CERIT-SC is an integral part of the national e-infrastructure operated by CESNET, and it leverages many of its services (e.g. management of user

More information

Cluster Computing. Resource and Job Management for HPC 16/08/2010 SC-CAMP. ( SC-CAMP) Cluster Computing 16/08/ / 50

Cluster Computing. Resource and Job Management for HPC 16/08/2010 SC-CAMP. ( SC-CAMP) Cluster Computing 16/08/ / 50 Cluster Computing Resource and Job Management for HPC SC-CAMP 16/08/2010 ( SC-CAMP) Cluster Computing 16/08/2010 1 / 50 Summary 1 Introduction Cluster Computing 2 About Resource and Job Management Systems

More information

Discovery Net : A UK e-science Pilot Project for Grid-based Knowledge Discovery Services. Patrick Wendel Imperial College, London

Discovery Net : A UK e-science Pilot Project for Grid-based Knowledge Discovery Services. Patrick Wendel Imperial College, London Discovery Net : A UK e-science Pilot Project for Grid-based Knowledge Discovery Services Patrick Wendel Imperial College, London Data Mining and Exploration Middleware for Distributed and Grid Computing,

More information

Reduces latency and buffer overhead. Messaging occurs at a speed close to the processors being directly connected. Less error detection

Reduces latency and buffer overhead. Messaging occurs at a speed close to the processors being directly connected. Less error detection Switching Operational modes: Store-and-forward: Each switch receives an entire packet before it forwards it onto the next switch - useful in a general purpose network (I.e. a LAN). usually, there is a

More information

Introduction to the Cisco ASAv

Introduction to the Cisco ASAv Hypervisor Support The Cisco Adaptive Security Virtual Appliance (ASAv) brings full firewall functionality to virtualized environments to secure data center traffic and multitenant environments. You can

More information

Why IPv6? Roque Gagliano LACNIC

Why IPv6? Roque Gagliano LACNIC Why IPv6? Roque Gagliano LACNIC Agenda Initial Concepts. IPv6 History. What is IPv6? Planning IPv6. Agenda Initial Concepts. IPv6 History. What is IPv6? Planning IPv6. Some initial concepts. IPv6 is the

More information

Wireless AC1200 Dual-Band Unified Access Point

Wireless AC1200 Dual-Band Unified Access Point Product Highlights Next Generation Connectivity Harness the power of Wireless AC and take advantage of combined wireless speeds of up to 1200 Mbps, perfect for high demand business applications Enhanced

More information

CS260 Intro to Java & Android 04.Android Intro

CS260 Intro to Java & Android 04.Android Intro CS260 Intro to Java & Android 04.Android Intro Winter 2015 Winter 2015 CS260 - Intro to Java & Android 1 Android - Getting Started Android SDK contains: API Libraries Developer Tools Documentation Sample

More information

S i m p l i f y i n g A d m i n i s t r a t i o n a n d M a n a g e m e n t P r o c e s s e s i n t h e P o l i s h N a t i o n a l C l u s t e r

S i m p l i f y i n g A d m i n i s t r a t i o n a n d M a n a g e m e n t P r o c e s s e s i n t h e P o l i s h N a t i o n a l C l u s t e r S i m p l i f y i n g A d m i n i s t r a t i o n a n d M a n a g e m e n t P r o c e s s e s i n t h e P o l i s h N a t i o n a l C l u s t e r Miroslaw Kupczyk, Norbert Meyer, Pawel Wolniewicz e-mail:

More information

Queuing and Scheduling on Compute Clusters

Queuing and Scheduling on Compute Clusters Queuing and Scheduling on Compute Clusters Andrew Caird acaird@umich.edu Queuing and Scheduling on Compute Clusters p.1/17 The reason for me being here Give some queuing background Introduce some queuing

More information

Managing CAE Simulation Workloads in Cluster Environments

Managing CAE Simulation Workloads in Cluster Environments Managing CAE Simulation Workloads in Cluster Environments Michael Humphrey V.P. Enterprise Computing Altair Engineering humphrey@altair.com June 2003 Copyright 2003 Altair Engineering, Inc. All rights

More information

Efficient HTTP based I/O on very large datasets for high performance computing with the Libdavix library

Efficient HTTP based I/O on very large datasets for high performance computing with the Libdavix library Efficient HTTP based I/O on very large datasets for high performance computing with the Libdavix library Authors Devresse Adrien (CERN) Fabrizio Furano (CERN) Typical HPC architecture Computing Cluster

More information

Mellanox InfiniBand Solutions Accelerate Oracle s Data Center and Cloud Solutions

Mellanox InfiniBand Solutions Accelerate Oracle s Data Center and Cloud Solutions Mellanox InfiniBand Solutions Accelerate Oracle s Data Center and Cloud Solutions Providing Superior Server and Storage Performance, Efficiency and Return on Investment As Announced and Demonstrated at

More information

Integrate MATLAB Analytics into Enterprise Applications

Integrate MATLAB Analytics into Enterprise Applications Integrate Analytics into Enterprise Applications Lyamine Hedjazi 2015 The MathWorks, Inc. 1 Data Analytics Workflow Preprocessing Data Business Systems Build Algorithms Smart Connected Systems Take Decisions

More information

[This is not an article, chapter, of conference paper!]

[This is not an article, chapter, of conference paper!] http://www.diva-portal.org [This is not an article, chapter, of conference paper!] Performance Comparison between Scaling of Virtual Machines and Containers using Cassandra NoSQL Database Sogand Shirinbab,

More information

Java Development and Grid Computing with the Globus Toolkit Version 3

Java Development and Grid Computing with the Globus Toolkit Version 3 Java Development and Grid Computing with the Globus Toolkit Version 3 Michael Brown IBM Linux Integration Center Austin, Texas Page 1 Session Introduction Who am I? mwbrown@us.ibm.com Team Leader for Americas

More information

Problems for Resource Brokering in Large and Dynamic Grid Environments

Problems for Resource Brokering in Large and Dynamic Grid Environments Problems for Resource Brokering in Large and Dynamic Grid Environments Cătălin L. Dumitrescu Computer Science Department The University of Chicago cldumitr@cs.uchicago.edu (currently at TU Delft) Kindly

More information

Mission-Critical Databases in the Cloud. Oracle RAC in Microsoft Azure Enabled by FlashGrid Software.

Mission-Critical Databases in the Cloud. Oracle RAC in Microsoft Azure Enabled by FlashGrid Software. Mission-Critical Databases in the Cloud. Oracle RAC in Microsoft Azure Enabled by FlashGrid Software. White Paper rev. 2017-10-16 2017 FlashGrid Inc. 1 www.flashgrid.io Abstract Ensuring high availability

More information

NIC TEAMING IEEE 802.3ad

NIC TEAMING IEEE 802.3ad WHITE PAPER NIC TEAMING IEEE 802.3ad NIC Teaming IEEE 802.3ad Summary This tech note describes the NIC (Network Interface Card) teaming capabilities of VMware ESX Server 2 including its benefits, performance

More information

Database Services at CERN with Oracle 10g RAC and ASM on Commodity HW

Database Services at CERN with Oracle 10g RAC and ASM on Commodity HW Database Services at CERN with Oracle 10g RAC and ASM on Commodity HW UKOUG RAC SIG Meeting London, October 24 th, 2006 Luca Canali, CERN IT CH-1211 LCGenève 23 Outline Oracle at CERN Architecture of CERN

More information

NOTE: A minimum of 1 gigabyte (1 GB) of server memory is required per each NC510F adapter. HP NC510F PCIe 10 Gigabit Server Adapter

NOTE: A minimum of 1 gigabyte (1 GB) of server memory is required per each NC510F adapter. HP NC510F PCIe 10 Gigabit Server Adapter Overview The NC510F is an eight lane (x8) PCI Express (PCIe) 10 Gigabit Ethernet SR (10GBASE-SR fiber optic) network solution offering the highest bandwidth available in a ProLiant Ethernet adapter. The

More information

Automatic Dependency Management for Scientific Applications on Clusters. Ben Tovar*, Nicholas Hazekamp, Nathaniel Kremer-Herman, Douglas Thain

Automatic Dependency Management for Scientific Applications on Clusters. Ben Tovar*, Nicholas Hazekamp, Nathaniel Kremer-Herman, Douglas Thain Automatic Dependency Management for Scientific Applications on Clusters Ben Tovar*, Nicholas Hazekamp, Nathaniel Kremer-Herman, Douglas Thain Where users are Scientist says: "This demo task runs on my

More information

MySQL In the Cloud. Migration, Best Practices, High Availability, Scaling. Peter Zaitsev CEO Los Angeles MySQL Meetup June 12 th, 2017.

MySQL In the Cloud. Migration, Best Practices, High Availability, Scaling. Peter Zaitsev CEO Los Angeles MySQL Meetup June 12 th, 2017. MySQL In the Cloud Migration, Best Practices, High Availability, Scaling Peter Zaitsev CEO Los Angeles MySQL Meetup June 12 th, 2017 1 Let me start. With some Questions! 2 Question One How Many of you

More information

Shared File System Requirements for SAS Grid Manager. Table Talk #1546 Ben Smith / Brian Porter

Shared File System Requirements for SAS Grid Manager. Table Talk #1546 Ben Smith / Brian Porter Shared File System Requirements for SAS Grid Manager Table Talk #1546 Ben Smith / Brian Porter About the Presenters Main Presenter: Ben Smith, Technical Solutions Architect, IBM smithbe1@us.ibm.com Brian

More information

Utilizing Databases in Grid Engine 6.0

Utilizing Databases in Grid Engine 6.0 Utilizing Databases in Grid Engine 6.0 Joachim Gabler Software Engineer Sun Microsystems http://sun.com/grid Current status flat file spooling binary format for jobs ASCII format for other objects accounting

More information

ARC-XWCH bridge: Running ARC jobs on the XtremWeb-CH volunteer

ARC-XWCH bridge: Running ARC jobs on the XtremWeb-CH volunteer ARC-XWCH bridge: Running ARC jobs on the XtremWeb-CH volunteer computing platform Internal report Marko Niinimaki, Mohamed BenBelgacem, Nabil Abdennadher HEPIA, January 2010 1. Background and motivation

More information

1 BRIEF / Oracle Solaris Cluster Features and Benefits

1 BRIEF / Oracle Solaris Cluster Features and Benefits Oracle Solaris Cluster is a comprehensive high availability (HA) and disaster recovery (DR) solution for Oracle SPARC and x86 environments that is based on Oracle Solaris. It combines extreme service availability

More information

Optimizing Cluster Utilisation with Bright Cluster Manager

Optimizing Cluster Utilisation with Bright Cluster Manager Optimizing Cluster Utilisation with Bright Cluster Manager Arno Ziebart Sales Manager Germany HPC Advisory Council 2011 www.clustervision.com 1 About us Specialists in Compute, Storage & GPU Clusters (Tailor-Made,

More information

Sun and Oracle. Kevin Ashby. Oracle Technical Account Manager. Mob:

Sun and Oracle. Kevin Ashby. Oracle Technical Account Manager. Mob: Sun and Oracle Kevin Ashby Oracle Technical Account Manager Mob: 07710 305038 Email: kevin.ashby@sun.com NEW Sun/Oracle Stats Sun is No1 Platform for Oracle Database Sun is No1 Platform for Oracle Applications

More information

Grid Architectural Models

Grid Architectural Models Grid Architectural Models Computational Grids - A computational Grid aggregates the processing power from a distributed collection of systems - This type of Grid is primarily composed of low powered computers

More information

CSF4:A WSRF Compliant Meta-Scheduler

CSF4:A WSRF Compliant Meta-Scheduler CSF4:A WSRF Compliant Meta-Scheduler Wei Xiaohui 1, Ding Zhaohui 1, Yuan Shutao 2, Hou Chang 1, LI Huizhen 1 (1: The College of Computer Science & Technology, Jilin University, China 2:Platform Computing,

More information

FlashGrid Cloud Area Network Version 17.05

FlashGrid Cloud Area Network Version 17.05 FlashGrid Cloud Area Network Version 17.05 Deployment Guide rev. 2017-11-17 2017 FlashGrid Inc. Table of Contents 1 Introduction... 3 2 OS Compatibility... 3 3 Defining CLAN Subnets... 3 4 Client to Database

More information

PCI Express x8 Single Port SFP+ 10 Gigabit Server Adapter (Intel 82599ES Based) Single-Port 10 Gigabit SFP+ Ethernet Server Adapters Provide Ultimate

PCI Express x8 Single Port SFP+ 10 Gigabit Server Adapter (Intel 82599ES Based) Single-Port 10 Gigabit SFP+ Ethernet Server Adapters Provide Ultimate NIC-PCIE-1SFP+-PLU PCI Express x8 Single Port SFP+ 10 Gigabit Server Adapter (Intel 82599ES Based) Single-Port 10 Gigabit SFP+ Ethernet Server Adapters Provide Ultimate Flexibility and Scalability in Virtual

More information

Leveraging Globus Identity for the Grid. Suchandra Thapa GlobusWorld, April 22, 2016 Chicago

Leveraging Globus Identity for the Grid. Suchandra Thapa GlobusWorld, April 22, 2016 Chicago Leveraging Globus Identity for the Grid Suchandra Thapa GlobusWorld, April 22, 2016 Chicago Open Science Grid Helps researchers speed up their research using high throughput computing methods Helps campus

More information

PLANEAMENTO E GESTÃO DE REDES INFORMÁTICAS COMPUTER NETWORKS PLANNING AND MANAGEMENT

PLANEAMENTO E GESTÃO DE REDES INFORMÁTICAS COMPUTER NETWORKS PLANNING AND MANAGEMENT Mestrado em Engenharia Informática e de Computadores PLANEAMENTO E GESTÃO DE REDES INFORMÁTICAS COMPUTER NETWORKS PLANNING AND MANAGEMENT 2010-2011 Metodologia de Projecto 4 - Project Methodology 4 1 Hierarchical

More information

Episode Engine. Best Practices - Deployment. Single Engine Deployment

Episode Engine. Best Practices - Deployment. Single Engine Deployment Episode Engine is a server-based encoder providing extensive format support and superior quality in combination with top performance. The powerful product, at a very affordable price point, makes Episode

More information

ITTC High-Performance Networking The University of Kansas EECS 881 Architecture and Topology

ITTC High-Performance Networking The University of Kansas EECS 881 Architecture and Topology High-Performance Networking The University of Kansas EECS 881 Architecture and Topology James P.G. Sterbenz Department of Electrical Engineering & Computer Science Information Technology & Telecommunications

More information

Transparent Access to Grid-Based Compute Utilities

Transparent Access to Grid-Based Compute Utilities Transparent Access to Grid-Based Compute Utilities Tino Vázquez, Javier Fontán, Eduardo Huedo, Rubén S. Montero, and Ignacio M. Llorente Departamento de Arquitectura de Computadores y Automática Facultad

More information

Huawei Technologies engaged Miercom to evaluate the S2700-EI

Huawei Technologies engaged Miercom to evaluate the S2700-EI Lab Testing Summary Report March 2012 Report SR120126B Product Category: Enterprise Layer 2 Switch Vendor Tested: Key findings and conclusions: Huawei S2700-EI is resilient and robust to meet enterprise

More information

Cisco Configuration Engine 2.0

Cisco Configuration Engine 2.0 Cisco Configuration Engine 2.0 The Cisco Configuration Engine provides a unified, secure solution for automating the deployment of Cisco customer premises equipment (CPE). This scalable product distributes

More information

Resources and Services Virtualization without Boundaries (ReSerVoir)

Resources and Services Virtualization without Boundaries (ReSerVoir) Resources and Services Virtualization without Boundaries (ReSerVoir) Benny Rochwerger April 14, 2008 IBM Labs in Haifa The Evolution of the Power Grid The Burden Iron Works Water Wheel http://w w w.rootsw

More information

Cisco Virtualized Workload Mobility Introduction

Cisco Virtualized Workload Mobility Introduction CHAPTER 1 The ability to move workloads between physical locations within the virtualized Data Center (one or more physical Data Centers used to share IT assets and resources) has been a goal of progressive

More information

S.No QUESTIONS COMPETENCE LEVEL UNIT -1 PART A 1. Illustrate the evolutionary trend towards parallel distributed and cloud computing.

S.No QUESTIONS COMPETENCE LEVEL UNIT -1 PART A 1. Illustrate the evolutionary trend towards parallel distributed and cloud computing. VALLIAMMAI ENGNIEERING COLLEGE SRM Nagar, Kattankulathur 603203. DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Year & Semester : IV & VII Section : CSE -1& 2 Subject Code : CS6703 Subject Name : Grid

More information

Experience the GRID Today with Oracle9i RAC

Experience the GRID Today with Oracle9i RAC 1 Experience the GRID Today with Oracle9i RAC Shig Hiura Pre-Sales Engineer Shig_Hiura@etagon.com 2 Agenda Introduction What is the Grid The Database Grid Oracle9i RAC Technology 10g vs. 9iR2 Comparison

More information

Armon HASHICORP

Armon HASHICORP Nomad Armon Dadgar @armon Distributed Optimistically Concurrent Scheduler Nomad Distributed Optimistically Concurrent Scheduler Nomad Schedulers map a set of work to a set of resources Work (Input) Resources

More information

High Performance Java Remote Method Invocation for Parallel Computing on Clusters

High Performance Java Remote Method Invocation for Parallel Computing on Clusters High Performance Java Remote Method Invocation for Parallel Computing on Clusters Guillermo L. Taboada*, Carlos Teijeiro, Juan Touriño taboada@udc.es UNIVERSIDADE DA CORUÑA SPAIN IEEE Symposium on Computers

More information

Integrate MATLAB Analytics into Enterprise Applications

Integrate MATLAB Analytics into Enterprise Applications Integrate Analytics into Enterprise Applications Aurélie Urbain MathWorks Consulting Services 2015 The MathWorks, Inc. 1 Data Analytics Workflow Data Acquisition Data Analytics Analytics Integration Business

More information

Adapted from: TRENDS AND ATTRIBUTES OF HORIZONTAL AND VERTICAL COMPUTING ARCHITECTURES

Adapted from: TRENDS AND ATTRIBUTES OF HORIZONTAL AND VERTICAL COMPUTING ARCHITECTURES Adapted from: TRENDS AND ATTRIBUTES OF HORIZONTAL AND VERTICAL COMPUTING ARCHITECTURES Tom Atwood Business Development Manager Sun Microsystems, Inc. Takeaways Understand the technical differences between

More information

Microsoft and Oracle: Partners in the Enterprise Cloud

Microsoft and Oracle: Partners in the Enterprise Cloud HrOUG 2013 Rovinj, 16.10.2013 Microsoft and Oracle: Partners in the Enterprise Cloud Peter Kalan, Technology Strategist Andrej Kašnik, Datacenter specialist Microsoft Slovenija The two companies have decided

More information