Bright Cluster Manager Advanced cluster management made easy Dr Matthijs van Leeuwen CEO Bright Computing Mark Corcoran Director of Sales Bright Computing.

Slides:



Advertisements
Similar presentations
PARMON A Comprehensive Cluster Monitoring System PARMON Team Centre for Development of Advanced Computing, Bangalore, India Contact: Rajkumar Buyya
Advertisements

Components of GIS.
2. Computer Clusters for Scalable Parallel Computing
Setting up of condor scheduler on computing cluster Raman Sehgal NPD-BARC.
Using R as enterprise-wide data analysis platform Zivan Karaman.
Workload Management Workpackage Massimo Sgaravatto INFN Padova.
Two Broad Categories of Software
6/2/20071 Grid Computing Sun Grid Engine (SGE) Manoj Katwal.
Workload Management Massimo Sgaravatto INFN Padova.
Understanding Networks I. Objectives Compare client and network operating systems Learn about local area network technologies, including Ethernet, Token.
Passage Three Introduction to Microsoft SQL Server 2000.
Slide 1 of 9 Presenting 24x7 Scheduler The art of computer automation Press PageDown key or click to advance.
Version Enterprise Architect Redefines Modeling in 2006 An Agile and Scalable modeling solution Provides Full Lifecycle.
DCS PowerEdge C Systems Management Overview PowerEdge C Product Group.
SSI-OSCAR A Single System Image for OSCAR Clusters Geoffroy Vallée INRIA – PARIS project team COSET-1 June 26th, 2004.
 Cloud computing  Workflow  Workflow lifecycle  Workflow design  Workflow tools : xcp, eucalyptus, open nebula.
WORK ON CLUSTER HYBRILIT E. Aleksandrov 1, D. Belyakov 1, M. Matveev 1, M. Vala 1,2 1 Joint Institute for nuclear research, LIT, Russia 2 Institute for.
LLNL-PRES-XXXXXX This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
High Performance Computing Cluster OSCAR Team Member Jin Wei, Pengfei Xuan CPSC 424/624 Project ( 2011 Spring ) Instructor Dr. Grossman.
Tools and Utilities for parallel and serial codes in ENEA-GRID environment CRESCO Project: Salvatore Raia SubProject I.2 C.R. ENEA-Portici. 11/12/2007.
Database Edition for Sybase Sales Presentation. Market Drivers DBAs are facing immense time pressure in an environment with ever-increasing data Continuous.
TRACEREP: GATEWAY FOR SHARING AND COLLECTING TRACES IN HPC SYSTEMS Iván Pérez Enrique Vallejo José Luis Bosque University of Cantabria TraceRep IWSG'15.
Spring 2011 CIS 4911 Senior Project Catalog Description: Students work on faculty supervised projects in teams of up to 5 members to design and implement.
PARMON A Comprehensive Cluster Monitoring System A Single System Image Case Study Developer: PARMON Team Centre for Development of Advanced Computing,
TRASC Globus Application Launcher VPAC Development Team Sudarshan Ramachandran.
© 2006 Cisco Systems, Inc. All rights reserved. Optimizing Converged Cisco Networks (ONT) Module 6: Implement Wireless Scalability.
QCDGrid Progress James Perry, Andrew Jackson, Stephen Booth, Lorna Smith EPCC, The University Of Edinburgh.
The Role of the Operating System
Taking the Complexity out of Cluster Computing Vendor Update HPC User Forum Arend Dittmer Director Product Management HPC April,
07:44:46Service Oriented Cyberinfrastructure Lab, Introduction to BOINC By: Andrew J Younge
Looking Ahead: A New PSU Research Cloud Architecture Chuck Gilbert - Systems Architect and Systems Team Lead Research CI Coordinating Committee Meeting.
Software Scalability Issues in Large Clusters CHEP2003 – San Diego March 24-28, 2003 A. Chan, R. Hogue, C. Hollowell, O. Rind, T. Throwe, T. Wlodek RHIC.
N. GSU Slide 1 Chapter 05 Clustered Systems for Massive Parallelism N. Xiong Georgia State University.
Ganga A quick tutorial Asterios Katsifodimos Trainer, University of Cyprus Nicosia, Feb 16, 2009.
Distributed monitoring system. Why Monitor? Solve them! Identify Problems Ensure conduct Requirements Manage many computers Spot trends in the system.
Issues Autonomic operation (fault tolerance) Minimize interference to applications Hardware support for new operating systems Resource management (global.
PARALLEL COMPUTING overview What is Parallel Computing? Traditionally, software has been written for serial computation: To be run on a single computer.
Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill Technology Education Copyright © 2006 by The McGraw-Hill Companies,
1 Cray Inc. 11/28/2015 Cray Inc Slide 2 Cray Cray Adaptive Supercomputing Vision Cray moves to Linux-base OS Cray Introduces CX1 Cray moves.
Mark E. Fuller Senior Principal Instructor Oracle University Oracle Corporation.
Cluster Software Overview
PerfSONAR-PS Functionality February 11 th 2010, APAN 29 – perfSONAR Workshop Jeff Boote, Assistant Director R&D.
The LBNL Perceus Cluster Infrastructure Next Generation Cluster Provisioning and Management October 10, 2007 Internet2 Fall Conference Gary Jung, SCS Project.
Program Systems Institute RASTDB TDB: THE INTERACTIVE DISTRIBUTED DEBUGGING TOOL FOR PARALLEL MPI PROGRAMS.
Managing and Monitoring the Microsoft Application Platform Damir Bersinic Ruth Morton IT Pro Advisor Microsoft Canada
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering Computational Platform Jim Miller GE Research.
Tier3 monitoring. Initial issues. Danila Oleynik. Artem Petrosyan. JINR.
LSF Universus By Robert Stober Systems Engineer Platform Computing, Inc.
DIRAC Project A.Tsaregorodtsev (CPPM) on behalf of the LHCb DIRAC team A Community Grid Solution The DIRAC (Distributed Infrastructure with Remote Agent.
Computing Facilities CERN IT Department CH-1211 Geneva 23 Switzerland t CF CC Monitoring I.Fedorko on behalf of CF/ASI 18/02/2011 Overview.
ETICS An Environment for Distributed Software Development in Aerospace Applications SpaceTransfer09 Hannover Messe, April 2009.
Computing Facilities CERN IT Department CH-1211 Geneva 23 Switzerland t CF Cluman: Advanced Cluster Management for Large-scale Infrastructures.
Chapter 16 Client/Server Computing Dave Bremer Otago Polytechnic, N.Z. ©2008, Prentice Hall Operating Systems: Internals and Design Principles, 6/E William.
File system: Ceph Felipe León fi Computing, Clusters, Grids & Clouds Professor Andrey Y. Shevel ITMO University.
OSCAR Symposium – Quebec City, Canada – June 2008 Proposal for Modifications to the OSCAR Architecture to Address Challenges in Distributed System Management.
1 Policy Based Systems Management with Puppet Sean Dague
Univa Grid Engine Makes Work Management Automatic and Efficient, Accelerates Deployment of Cloud Services with Power of Microsoft Azure MICROSOFT AZURE.
Let's talk about Linux and Virtualization in 'vLAMP'
Administration Tools Cluster.exe is a command line tool that you can use for scripting or remote administration through slow WAN links. Cluadmin.exe is.
DELLSOFT Technologies Pvt. Ltd.
Heterogeneous Computation Team HybriLIT
GWE Core Grid Wizard Enterprise (
CRESCO Project: Salvatore Raia
Infokall Enterprise Solutions
HP C/C++ Remote developer plug-in for Eclipse
Cray Announces Cray Inc.
Bright Computing Update Bright Cluster Management Advantage
Support for ”interactive batch”
Abiquo’s Hybrid Cloud Management Solution Helps Enterprises Maximise the Full Potential of the Microsoft Azure Platform MICROSOFT AZURE ISV PROFILE: ABIQUO.
Presentation transcript:

Bright Cluster Manager Advanced cluster management made easy Dr Matthijs van Leeuwen CEO Bright Computing Mark Corcoran Director of Sales Bright Computing

2 About Bright Computing Bright Computing 1.Develops and supports Bright Cluster Manager™ 2.Sells Bright Cluster Manager through a rapidly growing network of resellers world-wide 3.Dedicated team of software developers and HPC specialists 4.Head office in San Jose, California, European office in The Netherlands 5.Independent spin-out from ClusterVision, Europe’s leading provider of turnkey HPC clusters

3 Customers — Industry

4 Customers — Government

5 Customers — Academic

6 The Commonly Used “Toolkit” Approach  Most cluster management solutions use the “toolkit” approach (Linux distro + tools)  Examples: Most customer in-house solutions & most competing products  Tools typically used: Ganglia, Cacti, Nagios, Cfengine, System Imager, etc.  Issues with the “toolkit” approach:  Tools rarely designed to work together  Tools rarely designed for HPC  Tools rarely designed to scale  Each tool has its own command line interface and GUI  Each tool has its own daemon and database  Roadmap dependent on developers of the tools  Making a collection of unrelated tools work together  Requires a lot of expertise and scripting  Rarely leads to a truly easy-to-use and scalable solution

7 About Bright Cluster Manager  Bright Cluster Manager takes a much more fundamental & integrated approach  Designed and written from the ground up  Single cluster management daemon provides all functionality  Single, central database for configuration and monitoring data  Single CLI and GUI for ALL cluster management functionality  Which makes Bright Cluster Manager …  Extremely easy to use  Extremely scalable  Complete  Flexible

8 CMDaemon Architecture

9 Bright Cluster Manager — Elements  Cluster Management Daemon  Cluster Management Shell  Cluster Management GUI  Linux distribution, with many enhancements  Red Hat & SUSE Enterprise  CentOS & Scientific Linux  Node provisioning system  Workload management system  Sun Grid Engine, Torque/Maui  MOAB, PBS Pro, etc.  HPC user environment  Compilers, libraries, HPC middleware, debuggers, profilers, etc.  NVIDIA CUDA, OpenCL  Intel Cluster Ready  Cluster management & monitoring functionality  Years of HPC expertise & consistent integration of all the above ============================================================================================ Bright Cluster Manager

10 Management Interface Graphical User Interface (GUI)  Offers administrator full cluster control  Standalone desktop application  Manages multiple clusters simultaneously  Runs on Linux, Windows, MacOS X  Built on top of Mozilla XUL engine Command Line Interface (CLI)  All GUI functionality also available through Command Line Interface (CLI)  Interactive and scriptable in batch mode

15 Unique Features  Fundamental, integrated, complete solution  Single GUI and CLI for all cluster management tasks  Very easy to use  Scalable to thousands of nodes  Minimal CPU overhead due to light-weight daemon  Support for redundant head nodes  Image based, incremental provisioning  Support for diskless and InfiniBand-only slave nodes  Support for several Linux distributions  Cluster health checking  Role-based authentication  Zoom-in function for monitoring graphs  Visualization of metrics in Rackview  Graphical parallel shell  Fully graphical installation in 30 minutes

16 Thank you! Matthijs (Matt) van Leeuwen Mark Corcoran