Page 1 Jordi Farres Grid and Cloud activities 15/3/2011.

Slides:



Advertisements
Similar presentations
Infrastructure as a Service (IaaS) Amazon EC2
Advertisements

DOSTAG Meeting #51, 3 rd May 2007 Access to ESA Earth Observation data (past and current missions)
CLOUD COMPUTING AN OVERVIEW & QUALITY OF SERVICE Hamzeh Khazaei University of Manitoba Department of Computer Science Jan 28, 2010.
C LOUD C OMPUTING Presented by Ye Chen. What is cloud computing? Cloud computing is a model for enabling ubiquitous, convenient, on- demand network access.
FI-WARE – Future Internet Core Platform FI-WARE Cloud Hosting July 2011 High-level description.
© 2009 IBM Corporation ® IBM Software Group Introduction to Cloud Computing Vivek C Agarwal IBM India Software Labs.
AN INTRODUCTION TO CLOUD COMPUTING Web, as a Platform…
INTRODUCTION TO CLOUD COMPUTING CS 595 LECTURE 4.
Next Generation Application Platform (NGAP) Andrew Mitchell WGISS-39 Tsukuba, Japan Monday, May 11,
SPRING 2011 CLOUD COMPUTING Cloud Computing San José State University Computer Architecture (CS 147) Professor Sin-Min Lee Presentation by Vladimir Serdyukov.
An Introduction to DuraCloud Carissa Smith, Partner Specialist Michele Kimpton, Project Director Bill Branan, Lead Software Developer Andrew Woods, Lead.
Cloud computing Tahani aljehani.
Duncan Fraiser, Adam Gambrell, Lisa Schalk, Emily Williams
Data-intensive Computing on the Cloud: Concepts, Technologies and Applications B. Ramamurthy This talks is partially supported by National.
Chapter-7 Introduction to Cloud Computing Cloud Computing.
EA and IT Infrastructure - 1© Minder Chen, Stages in IT Infrastructure Evolution Mainframe/Mini Computers Personal Computer Client/Sever Computing.
VAP What is a Virtual Application ? A virtual application is an application that has been optimized to run on virtual infrastructure. The application software.
 Cloud computing is one of the more recent technologies that many businesses, individuals and other industry organizations believe to by one of the keys.
Introduction to Cloud Computing
Cloud Computing Cloud Computing Class-1. Introduction to Cloud Computing In cloud computing, the word cloud (also phrased as "the cloud") is used as a.
Osama Shahid ( ) Vishal ( ) BSCS-5B
VIRTUALIZATION AND CLOUD COMPUTING Dr. John P. Abraham Professor, Computer Engineering UTPA.
Page 1 Jordi Farres Models for scientific exploitation of EO Data ESRIN, Oct 2012 A Web of EO Processing Services ESA UNCLASSIED - For Offical Use.
Cloud Computing for the Enterprise November 18th, This work is licensed under a Creative Commons.
STRATEGIES INVOLVED IN REMOTE COMPUTATION
Cloud Computing Saneel Bidaye uni-slb2181. What is Cloud Computing? Cloud Computing refers to both the applications delivered as services over the Internet.
Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over the Internet. Cloud is the metaphor for.
CLOUD COMPUTING  IT is a service provider which provides information.  IT allows the employees to work remotely  IT is a on demand network access.
Interoperability in the Cloud By Alex Espinoza
Cloud Computing Ashley Richardson. What is Cloud Computing? Having secure access to applications and data from any network device Computational resources.
Cloud Computing. What is Cloud Computing? Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable.
SMART GRID The Next Generation Electric Grid Kunkerati Lublertlop 11/30/2011 Electrical Engineering Department Southern Taiwan University.
Introduction to Cloud Computing
Cloud Computing & Amazon Web Services – EC2 Arpita Patel Software Engineer.
LOGO Service and network administration Storage Virtualization.
CAPACITY Operational Atmospheric Chemistry Monitoring Missions CAPACITY Final Meeting - WP Ground Segment synthesis Final Meeting ESTEC02/06/05.
Cloud Computing Changing the way business computing is (will be) done.
Prepared By : Bhavin Tank(S.Y.B.Sc.(IT)) College of Computer Science & IT, Junagadh Cloud Computing.
Cloud Computing By: Carley Paxton. What is Cloud Computing? CloudCloud computing is the next stage in the Internet's evolution, providing the means through.
OOI CI LCA REVIEW August 2010 Ocean Observatories Initiative OOI Cyberinfrastructure Architecture Overview Michael Meisinger Life Cycle Architecture Review.
INTRODUCTION TO CLOUD COMPUTING ggg UNDERSTANDING CLOUD COMPUTING UNDERSTANDING CLOUD COMPUTING DEFINITION CLOUD COMPUTING.
Status: For Information Only ESA UNCLASSIFIED - For Official Use Cloud Processing at ESA [EO Payload Ground Segment] Cristiano Lopes, ESA CEOS WGISS-40.
Chapter 8 – Cloud Computing
CLOUD COMPUTING RICH SANGPROM. What is cloud computing? “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a.
3/12/2013Computer Engg, IIT(BHU)1 CLOUD COMPUTING-1.
Web Technologies Lecture 13 Introduction to cloud computing.
RANDY MODOWSKI COSC Cloud Computing. Road Map What is Cloud Computing? History of “The Cloud” Cloud Milestones How Cloud Computing is being used.
KAASHIV INFOTECH – A SOFTWARE CUM RESEARCH COMPANY IN ELECTRONICS, ELECTRICAL, CIVIL AND MECHANICAL AREAS
Distributed Systems Lecture 2 Cloud computing 1. Previous lecture Overview of distributed systems Differences between parallel and distributed computing.
What is Cloud Computing 1. Cloud computing is a service that helps you to perform the tasks over the Internet. The users can access resources as they.
Research and Service Support Resources for EO data exploitation RSS Team, ESRIN, 23/01/2013 Requirements for a Federated Infrastructure.
ESA UNCLASSIFIED – For Official Use Scientific exploitation…. Ws input to the round table DD/MM/YYYY.
CLOUD COMPUTING Presented to Graduate Students Mechanical Engineering Dr. John P. Abraham Professor, Computer Engineering UTPA.
Sentinel Data Access for Africa 11 December 2014 Sentinels Data Access for Africa.
Prof. Jong-Moon Chung’s Lecture Notes at Yonsei University
Jordi Farres HMA-WG Meeting ESRIN, 23 Jan 2013
Unit 3 Virtualization.
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING CLOUD COMPUTING
Cloud computing-The Future Technologies
University of Technology
Introduction to Cloud Computing
Cloud Computing.
Cloud Computing B. Ramamurthy 9/19/2018 B. Ramamurthy.
CNIT131 Internet Basics & Beginning HTML
Cloud Computing Dr. Sharad Saxena.
Dr. John P. Abraham Professor, Computer Engineering UTPA
Syllabus and Introduction Keke Chen
Emerging technologies-
Cloud Computing: Concepts
Presentation transcript:

Page 1 Jordi Farres Grid and Cloud activities 15/3/2011

Page 215/3/2011 Agenda 1.Background 2.Scope 3.Function 4.Requirements 5.Proof of concept

Page 315/3/2011 Summary IaaSPaaS What activities has been done? Or are planned? -MIPAS, ERS-SAR processings -GlobCover -SuperSites-GeoHazards -SSEGrid / ESE -GPOD / CIOP - SSEP What would we like to do?ICT provisioning strategy for PDGS Common ground for Service Providers Support to an EO value added chain

Page 415/3/2011 Background of Cloud Computing at EO Activities –Supersites virtual archive on Level3 (CDN) –2009: Re-processing of ERS SAR Wave products in AWS (Amazon Web Services) –2010: Processing of GlobeCover in AWS –2010: Calvalus project with Hadoop (private cloud) –2011: Cloud PoC with HP (private cloud) –2011: MIPAS re-processing in AWS –2011: Virtual Archive 4 with Hetzner Pros 1.Large resource pool 2.Scalability Up and Down 3.Good connectivity from Internet 4.Good Service Levels 5.Pay per use Cons 1.Large EO data seeding 2.Legacy applications 3.License policies

Page 515/3/2011 Agenda 1.Background 2.Scope 3.Function 4.Requirements 5.Proof of concept

Page 615/3/2011 Scope 1.Identify services/functions requiring: 1.High connectivity 2.Variable processing needs – high peaks on short notice 3.Variable storage needs – high peaks on short notice 4.Intermittent services over time 2.in EarthCare PDGS functional breakdown 3.and constituting a sound subset of functions

Page 715/3/2011 EarthCare: PDGS Breakdown Calibration Facility Instrument & Data Monitoring Facility Reference Planning Facility Processing Facility –NRT processing –Processing –Re-processing Archive –Primary –Back-up On-line Archive User Service Facility FOS

Page 815/3/2011 Candidate functions for new ICT model Calibration Facility Instrument & Data Monitoring Facility Reference Planning Facility Processing Facility –NRT processing –Processing –Re-processing Archive –Primary –Back-up On-line Archive User Service Facility FOS - Punctual in time - Processing intensive - Needs subject to change - Needs beyond mission life TBC - High network throughput - High availability - Needs beyond mission life TBC - Intermittent service

Page 915/3/2011 Agenda 1.Background 2.Scope 3.Function 4.Requirements 5.Proof of concept

Page 1015/3/2011 Function 1.Repository resident in virtual facility and fed by Data Circulation. Repository does not expose any functionality. Back-up Archive Re- processing Repository Data Circulation 2.On-need, the Back-up Archive is activated and can serve data. E.g. the primary archive is down or re- processing in the virtual facility is required. 3.Re-processing is served from Back-up archive. 4.Distributed processing techniques are used to parallelize re-processing over a large volume of products. Re- processing 5.Re-processed data is made available to a transient on-line archive. Access peak is served for a transient on-line archive, hence not overloading nominal on- line archive. Transient On-line Archive 6.Re-processed data is fed back to data circulation and to the primary archive.

Page 1115/3/2011 Other Functions Processor Testbeds –Partial re-processing scenario with a beta processor/configuration –Support to test and qualification process. Support to Projects –(Partial) Re-processing scenario using a 3 rd party processor No data circulation is required for these functions Back-up Archive Transient On-line Archive Repository Data Circulation Re- processing Testbed & Projects

Page 1215/3/2011 Agenda 1.Background 2.Scope 3.Function 4.Requirements 5.Proof of concept

Page 1315/3/2011 Operational Context ICT Provider -Internet connectivity -Large storage -Cloud Computing EO (Facility) Operator -Service Operations and Management -Management of ICT Provision -Management Data Provision -Service Change Mgt Monitor Control Resource Allocation EO Data Virtual Machine Operation User EO Engineering -Application Engineering -Software Maintenance -Open Collaborative Development Application Release Maintenance

Page 1415/3/2011 Virtual ICT facility requirements 1.An ICT Provider shall offer Computing, Network and Storage resources at qualified levels of service. 2.Resources shall be scalable within an order of between peaks and lows. 3.Resources allocation shall take effect within 2 days of request. Resources release shall take effect within 2 hours of request. 4.Costs shall be related to allocated resources (pay-per-use model). 5.Resource management shall be available via standard interface, e.g. OCCI. 6.Specific TBD QoS 7.Specific TBS OS/Hw platforms.

Page 1515/3/2011 Use of Virtual Facility by PDGS 1.No asset loss on destruction of virtual facility - Capability to resume service with another provider in 2 months. Virtual images of all services in the virtual facility are hosted and managed at the PDGS facility. Repository at virtual facility consists of EO data which can be recovered from the Primary archive. Mass extraction from Primary archive will required TBD time. 2.Based on ESA convenience capability to switch virtual facility to a second provider in 3 months. Data circulation can initiate the replication of the repository in an ICT provider to a second provider.

Page 1615/3/2011 Software requirements 1.Software licenses shall be aligned to cloud computing paradigm, i.e. to be employed in a variable number of virtual hosts. 2.Software shall be designed to employ numerous hosts in a distributed manner, e.g. using google’s map-reduce platform. 3.Systems shall be designed to sense resource needs and therefore, be able to trigger the allocation/release of resources.

Page 1715/3/2011 Other Back-up and Transient Archives Server and Network resources shall be allocated based on concurrent demand; i.e. the more products are requested the more servers are serving the requests. Re-processing Server resources shall be allocated based on data-driven principles, i.e. the more we can simultaneously process the more servers are allocated.

Page 1815/3/2011 Agenda 1.Background 2.Scope 3.Function 4.Requirements 5.Proof of concept

Page 1915/3/2011

Page 2015/3/2011

Page 2115/3/2011

Page 2215/3/2011