UCS D OSG School 11 Grids vs Clouds1 2011 OSG Summer School Comparing Grids to Clouds by Igor Sfiligoi University of California San Diego.

Slides:



Advertisements
Similar presentations
Cloud Computing Mick Watson Director of ARK-Genomics The Roslin Institute.
Advertisements

Using EC2 with HTCondor Todd L Miller 1. › Introduction › Submitting an EC2 job (user tutorial) › New features and other improvements › John Hover talking.
Xrootd and clouds Doug Benjamin Duke University. Introduction Cloud computing is here to stay – likely more than just Hype (Gartner Research Hype Cycle.
ANTHONY TIRADANI AND THE GLIDEINWMS TEAM glideinWMS in the Cloud.
Ian D. Alderman CycleComputing
Building Campus HTC Sharing Infrastructures Derek Weitzel University of Nebraska – Lincoln (Open Science Grid Hat)
Pankaj Kumar Qinglan Zhang Sagar Davasam Sowjanya Puligadda Wei Liu
© UC Regents 2010 Extending Rocks Clusters into Amazon EC2 Using Condor Philip Papadopoulos, Ph.D University of California, San Diego San Diego Supercomputer.
Private Cloud or Dedicated Hosts Mason Mabardy & Matt Maples.
An Introduction to Cloud Computing. The challenge Add new services for your users quickly and cost effectively.
SCD FIFE Workshop - GlideinWMS Overview GlideinWMS Overview FIFE Workshop (June 04, 2013) - Parag Mhashilkar Why GlideinWMS? GlideinWMS Architecture Summary.
CONDOR DAGMan and Pegasus Selim Kalayci Florida International University 07/28/2009 Note: Slides are compiled from various TeraGrid Documentations.
Principles for High Throughput Computing Alain Roy Open Science Grid Software Coordinator.
HTCondor workflows at Utility Supercomputing Scale: How? Ian D. Alderman Cycle Computing.
Personal Cloud Controller (PCC) Yuan Luo 1, Shava Smallen 2, Beth Plale 1, Philip Papadopoulos 2 1 School of Informatics and Computing, Indiana University.
CA ARCserve and CA XOsoft Simplified Pricing Program October 2007.
BESIII distributed computing and VMDIRAC
Creating an EC2 Provisioning Module for VCL Cameron Mann & Everett Toews.
Ian Alderman A Little History…
1 Evolution of OSG to support virtualization and multi-core applications (Perspective of a Condor Guy) Dan Bradley University of Wisconsin Workshop on.
Campus Grids Report OSG Area Coordinator’s Meeting Dec 15, 2010 Dan Fraser (Derek Weitzel, Brian Bockelman)
High Throughput Parallel Computing (HTPC) Dan Fraser, UChicago Greg Thain, UWisc Condor Week April 13, 2010.
First experience of submission to the EGEE/RDIG Grid of jobs prepared for non standart OSs by means of virtualization. I.Gorbunov, A.Kryukov SINP MSU,
Use of Condor on the Open Science Grid Chris Green, OSG User Group / FNAL Condor Week, April
July 11-15, 2005Lecture3: Grid Job Management1 Grid Compute Resources and Job Management.
Condor Week 2004 The use of Condor at the CDF Analysis Farm Presented by Sfiligoi Igor on behalf of the CAF group.
GLIDEINWMS - PARAG MHASHILKAR Department Meeting, August 07, 2013.
Pilot Factory using Schedd Glidein Barnett Chiu BNL
Nara Institute of Science and Technology, Nara Prefecture, Japan CONFIGURATION AND DEPLOYMENT OF A SCALABLE VIRTUAL MACHINE CLUSTER FOR MOLECULAR DOCKING.
Application Programming in Cloud via Swift Swift Tutorial, CCGrid 2013, Hour 2 Ketan Maheshwari.
Campus Grid Technology Derek Weitzel University of Nebraska – Lincoln Holland Computing Center (HCC) Home of the 2012 OSG AHM!
UCS D OSG Summer School 2011 Life of an OSG job OSG Summer School A peek behind the scenes The life of an OSG job by Igor Sfiligoi University of.
How to get the needed computing Tuesday afternoon, 1:30pm Igor Sfiligoi Leader of the OSG Glidein Factory Operations University of California San Diego.
Introduction to Distributed HTC and overlay systems Tuesday morning, 9:00am Igor Sfiligoi Leader of the OSG Glidein Factory Operations University of California.
Introduction to the Grid and the glideinWMS architecture Tuesday morning, 11:15am Igor Sfiligoi Leader of the OSG Glidein Factory Operations University.
UCS D OSG Summer School 2011 Intro to DHTC OSG Summer School An introduction to Distributed High-Throughput Computing with emphasis on Grid computing.
Condor Week Apr 30, 2008Pseudo Interactive monitoring - I. Sfiligoi1 Condor Week 2008 Pseudo-interactive monitoring in Condor by Igor Sfiligoi.
UCS D OSG Summer School 2011 Overlay systems OSG Summer School An introduction to Overlay systems Also known as Pilot systems by Igor Sfiligoi University.
UCS D OSG Summer School 2011 Single sign-on OSG Summer School Single sign-on in Open Science Grid by Igor Sfiligoi University of California San Diego.
Madison, Apr 2010Igor Sfiligoi1 Condor World 2010 Condor-G – A few lessons learned by Igor UCSD.
@3 rd DPLTA CERN 7 December 2009 by Homer Neal ( ) BaBar Computing rd DPLTA CERN 7 December 2009 by Homer Neal ( )
Condor Week May 2012No user requirements1 Condor Week 2012 An argument for moving the requirements out of user hands - The CMS experience presented.
Honolulu - Oct 31st, 2007 Using Glideins to Maximize Scientific Output 1 IEEE NSS 2007 Making Science in the Grid World - Using Glideins to Maximize Scientific.
Dealing with real resources Wed July 21st, 3:15pm Igor Sfiligoi, OSG Scalability Area coordinator and OSG glideinWMS factory manager.
HPC In The Cloud Case Study: Proteomics Workflow
Cloud Computing.
HTCondor Annex (There are many clouds like it, but this one is mine.)
Cloud Technology and the NGS Steve Thorn Edinburgh University (Matteo Turilli, Oxford University)‏ Presented by David Fergusson.
HPC In The Cloud Case Study: Proteomics Workflow
A Cloudy Future Panel at CCGSC ‘08
HTCondor Networking Concepts
Volunteer Computing for Science Gateways
AWS Integration in Distributed Computing
Elastic Computing Resource Management Based on HTCondor
HTCondor Networking Concepts
Dag Toppe Larsen UiB/CERN CERN,
Progress on NA61/NA49 software virtualisation Dag Toppe Larsen Wrocław
Dag Toppe Larsen UiB/CERN CERN,
Operating a glideinWMS frontend by Igor Sfiligoi (UCSD)
Outline Expand via Flocking Grid Universe in HTCondor ("Condor-G")
ATLAS Cloud Operations
Workload Management System
An Introduction to Cloud Computing
DIRAC services.
How to enable computing
Haiyan Meng and Douglas Thain
Basic Grid Projects – Condor (Part I)
Virtualization, Cloud Computing, and TeraGrid
Brian Lin OSG Software Team University of Wisconsin - Madison
High Throughput Computing for Astronomers
Presentation transcript:

UCS D OSG School 11 Grids vs Clouds OSG Summer School Comparing Grids to Clouds by Igor Sfiligoi University of California San Diego

UCS D OSG School 11 Grids vs Clouds2 Cloud computing (as described this morning) ● A mix between hosted computing and Grids ● Job-based like a Grid ● But “jobs” are Virtual Machines, not just processes ● You get your own machines like in hosted cmp. ● They just happen to be VMs ● You install whatever you want in them ● There is an economic factor (although there is a push for scientific clouds as well)

UCS D OSG School 11 Grids vs Clouds3 Cloud computing vs Grids ● Jobs are whole system images ● You configure your own virtual machine ● Grid nodes come with site-installed OS ● You pay in $$ to use them ● In Grids (and local HTC) systems you typically pay just in priority ● Instantaneous access ● You get the resource within minutes of asking ● In Grids you may wait a long time

UCS D OSG School 11 Grids vs Clouds4 Pay to use ● Amazon EC2 made Cloud computing popular by defining a price in $$/hour ● A major selling point is also the fact that you will get the resources the moment you ask Amazon can do this by always having unused machines lying around

UCS D OSG School 11 Grids vs Clouds5 Even clouds have priorities ● Amazon EC2 now has “spot pricing” ● You bid for “unused resources” ● If a higher bid comes in, you loose your machine Comparable to the Grid/HTC priority model (just $$ based)

UCS D OSG School 11 Grids vs Clouds6 The VM business ● Amazon EC2 success arguably lies in the fact that they allow customers to provide their own system image ● Most customers are not running compute jobs ● They want to install a Web server and a database! ● This is less important for scientific users ● Most scientific jobs don't need root/admin access! ● Although it can make life easier (more homogeneous) Mostly a nice-to-have feature for scientists.

UCS D OSG School 11 Grids vs Clouds7 Using Cloud resources ● The problem is similar to using Grid resources ● Find a client and submit the job ● If your job is not a system image, you need someone to create the OS image for you ● You, if you submit directly ● The pilot will do it automatically, if you use an overlay system OS Job

UCS D OSG School 11 Grids vs Clouds8 Cloud clients ● Direct submission ● Cloud provider clients (EC2, Eucalyptus, OpenStack, …) ● Condor-G ● Overlay systems ● glideinWMS (in prototype stage for now) ● CycleCloud

UCS D OSG School 11 Grids vs Clouds9 CycleCloud ● Starts a whole Condor cluster on Amazon EC2 ● A service run by Cycle Computing ● Just give them the money ● Once the submit VM is started ● log in and submit CycleCloud Amazon EC2 Schedd Collect or Startd

UCS D OSG School 11 Grids vs Clouds10 Get your hands dirty ● This is all the theory you need to know for now ● Demo/Exercise time ● Feel free to ask questions