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Grid Computing and the Globus Toolkit

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How many people know what Grids and Grid computing are? ... Supports single sign-on & delegation through 'impersonation' Currently an IETF draft ... – PowerPoint PPT presentation

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Title: Grid Computing and the Globus Toolkit


1
Grid Computing and the Globus Toolkit
  • Jennifer M. Schopf
  • Argonne National Lab

2
Questions for you-
  • How many people know what Grids and Grid
    computing are?
  • How many people are familiar with Globus
    (GT2/GT3)?
  • How many have heard of OGSA/OGSI?

3
This talk
  • What is Grid Computing?
  • Whos using Grids?
  • What is Globus?
  • What does Globus do?
  • Some other resources

4
What is a Grid?
  • Shared resources
  • Coordinated problem solving
  • Multiple sites (multiple institutions)

5
Not A New Idea
  • Late 70s Networked operating systems
  • Late 80s Distributed operating system
  • Early 90s Heterogeneous computing
  • Mid 90s - Metacomputing
  • Then the Grid Foster and Keselman, 1999

6
Broader Context
  • Grid Computing has much in common with major
    industrial thrusts
  • Business-to-business, Peer-to-peer, Application
    Service Providers, Storage Service Providers,
    Distributed Computing, Internet Computing
  • Sharing issues not adequately addressed by
    existing technologies
  • Complicated requirements run program X at site
    Y subject to community policy P, providing access
    to data at Z according to policy Q
  • High performance unique demands of advanced
    high-performance systems

7
Relation to Other Approaches
  • Distributes computing
  • Generally a client-server model
  • Parallel computing
  • Limited to one machine/site
  • Peer-to-peer technologies
  • Limited scope and mechanisms
  • Enterprise-level distributed computing
  • Limited cross-organizational support
  • Web services
  • Not dynamic

8
Elements of the Problem
  • Resource sharing
  • Computers, storage, sensors, networks,
  • Sharing always conditional issues of trust,
    policy, negotiation, payment,
  • Coordinated problem solving
  • Beyond client-server distributed data analysis,
    computation, collaboration,
  • Dynamic, multi-institutional virtual orgs
  • Community overlays on classic org structures
  • Large or small, static or dynamic

9
Building the Grid (according to Ian Foster)
  • Open source software
  • Globus Toolkit , UK OGSA DAI, Condor,
  • Open standards
  • OGSA, other GGF, IETF, W3C standards,
  • Open communities
  • Global Grid Forum, Globus International,
    collaborative projects,
  • Open infrastructure
  • UK eScience, NSF Cyberinfrastructure, StarLight,
    AP-Grid,

10
This talk
  • What is Grid Computing?
  • Whos using Grids?
  • What is Globus?
  • What does Globus do?
  • Some other resources

11
Why Grids?
  • A biochemist exploits 10,000 computers to screen
    100,000 compounds in an hour
  • 1,000 physicists worldwide pool resources for
    petaop analyses of petabytes of data
  • Civil engineers collaborate to design, execute,
    analyze shake table experiments
  • Climate scientists visualize, annotate, analyze
    terabyte simulation datasets
  • An emergency response team couples real time
    data, weather model, population data

12
Why Grids? (contd)
  • A multidisciplinary analysis in aerospace couples
    code and data in four companies
  • A home user invokes architectural design
    functions at an application service provider
  • An application service provider purchases cycles
    from compute cycle providers
  • Scientists working for a multinational soap
    company design a new product
  • A community group pools members PCs to analyze
    alternative designs for a local road

13
Data Grids forHigh Energy Physics
Image courtesy Harvey Newman, Caltech
14
Network for EarthquakeEngineering Simulation
  • NEESgrid national infrastructure to couple
    earthquake engineers with experimental
    facilities, databases, computers, each other
  • On-demand access to experiments, data streams,
    computing, archives, collaboration

NEESgrid Argonne, Michigan, NCSA, UIUC, USC
15
Home ComputersEvaluate AIDS Drugs
  • Community
  • 1000s of home computer users
  • Philanthropic computing vendor (Entropia)
  • Research group (Scripps)
  • Common goal advance AIDS research

16
U.S. TeraGrid
  • NCSA, SDSC, Argonne, Caltech
  • Unprecedented capability
  • 13.6 trillion flop/s
  • 600 terabytes of data
  • 40 gigabits per second
  • Accessible to thousandsof scientists working
    onadvanced research
  • www.teragrid.org

17
This talk
  • What is Grid Computing?
  • Whos using Grids?
  • What is Globus?
  • What does Globus do?
  • Some other resources

18
The Globus Project
  • A group of people with a common mission
  • Make Grid computing an everyday reality
  • Housed at Argonne National Laboratory, Univ. of
    Chicago, and USC Information Sciences Institute
  • Led by Ian Foster (ANL, U-C), Carl Kesselman
    (ISI)
  • Includes researchers, software developers,
    software architects designers, systems
    engineers, etc.
  • Collaborations (or at least acquaintances) with
    most Grid activities in the world

19
Globus Project Activities
  • All activities contribute to our common mission
  • Research
  • Software Development (prototypes, reference
    implementations)
  • Application consulting
  • Infrastructure consulting

20
The Globus Project cont.
  • Close collaboration with real Grid projects in
    both science and industry
  • The Globus Toolkit Open source software base
    for building Grid infrastructure and applications
  • Development and promotion of standard Grid
    protocols and services to enable interoperability
    and shared infrastructure
  • Development and promotion of standard Grid
    software APIs to enable portability and code
    sharing
  • Global Grid Forum We co-founded GGF to foster
    Grid standardization and community

21
Globus Project Methodology
  • Identify theoretical applications or user
    communities.
  • Establish collaborations with target users
  • Identify key requirements of target users
  • Identify common problems requirements across
    many target users
  • Develop architecture and designs for proposed
    technological solutions to common problems
  • Implement usable versions of solutions
  • Work with target users to integrate proposed
    solutions and evaluate results
  • Propose standards to relevant communities
  • Iterate

22
Globus Toolkit (GT)
  • A software system addressing key technical
    problems in the development of Grid-enabled
    tools, services, and applications
  • Offer a modular set of orthogonal services
  • Middleware for building solutions, not turn-key
  • Enable incremental development of Grid-enabled
    tools and applications
  • Implement and inform Grid standards
  • Available under liberal open source license
  • Large community of developers users
  • Multiple commercial support providers

23
This talk
  • What is Grid Computing?
  • Whos using Grids?
  • What is Globus?
  • What does Globus do?
  • Security
  • Resource Management
  • Information Services
  • File Transfer
  • OGSA/OGSI
  • Some other resources

24
Some defintions
  • API
  • Protocol

25
APIApplication Programming Interface
  • A specification for a set of routines to
    facilitate application development
  • Refers to definition, not implementation
  • Often language-specific (or IDL)
  • Routine name, number, order and type of
    arguments mapping to language constructs
  • Behavior or function of routine
  • Examples of APIs
  • GSS-API (security), MPI (message passing)

26
Network Protocol
  • A formal description of message formats and a set
    of rules for message exchange
  • Rules may define sequence of message exchanges
  • Protocol may define state-change in endpoint,
    e.g., file system state change
  • Good protocols designed to do one thing
  • Protocols can be layered
  • Examples of protocols
  • IP, TCP, TLS (was SSL), HTTP, Kerberos

27
A Protocol can have Multiple APIs
  • TCP/IP APIs include BSD sockets, Winsock, System
    V streams,
  • The protocol provides interoperability programs
    using different APIs can exchange information
  • I dont need to know remote users API

Application
Application
WinSock API
Berkeley Sockets API
TCP/IP Protocol Reliable byte streams
28
An API can have Multiple Protocols
  • An API provides portability any correct program
    compiles runs on a platform
  • Does not provide interoperability all processes
    must link against same SDK
  • E.g., MPICH and LAM versions of MPI

29
Initial Focus On APIsand Custom Protocols
  • Primary concern was allowing Grid applications to
    be built quickly, in order to demonstrate
    feasibility
  • Good development APIs and SDKs mattered most
  • Protocols were a means to an end
  • We borrowed and extended standard protocols to
    make life easier (e.g. LDAP)
  • We defined custom protocols (e.g. GRAM)

30
But Focus Shifted To Protocols
  • As demand grew, customers worried about
  • compatibility between versions (i.e. Stop
    changing the protocols!)
  • independent implementations of some components
    (i.e. What are the protocols?)
  • Ubiquitous adoption demands open, standard
    protocols
  • Internet and Web as guides
  • Enables innovation/competition on end points
  • Avoid product/vendor lock-in

31
GT2Key Protocols
  • The Globus Toolkit v2 (GT2)centers around four
    key protocols
  • Security Grid Security Infrastructure (GSI)
  • Resource Management Grid Resource Allocation
    Management (GRAM)
  • Information Services Grid Resource Information
    Protocol (GRIP)
  • Data Transfer Grid File Transfer Protocol
    (GridFTP)

32
Why Grid Security is Hard
  • Resources being used may be valuable the
    problems being solved sensitive
  • Resources are often located in distinct
    administrative domains
  • Each resource has own policies procedures
  • Set of resources used by a single computation may
    be large, dynamic, and unpredictable
  • Not just client/server, requires delegation
  • It must be broadly available applicable
  • Standard, well-tested, well-understood protocols
    integrated with wide variety of tools

33
Grid Security Infrastructure (GSI)
  • Extensions to standard protocols APIs
  • Standards SSL/TLS, X.509 CA, GSS-API
  • Extensions for single sign-on and delegation
  • Globus Toolkit reference implementation of GSI
  • SSLeay/OpenSSL GSS-API SSO/delegation
  • Tools and services to interface to local security
  • Simple ACLs SSLK5/PKINIT for access to K5, AFS
  • Tools for credential management
  • Login, logout, etc.
  • Smartcards
  • MyProxy Web portal login and delegation
  • K5cert Automatic X.509 certificate creation

34
X.509 Proxy Certificate
  • Defines how a short term, restricted credential
    can be created from a normal, long-term X.509
    credential
  • A proxy certificate is a special type of X.509
    certificate that is signed by the normal end
    entity cert, or by another proxy
  • Supports single sign-on delegation through
    impersonation
  • Currently an IETF draft

35
The Resource Management Challenge
  • Enabling secure, controlled remote access to
    heterogeneous computational resources and
    management of remote computation
  • Authentication and authorization
  • Resource discovery characterization
  • Reservation and allocation
  • Computation monitoring and control
  • Addressed by a set of protocols services
  • GRAM protocol as a basic building block
  • Resource brokering co-allocation services
  • GSI for security, MDS for discovery

36
Resource Management
  • The Grid Resource Allocation Management (GRAM)
    protocol and client API allows programs to be
    started on remote resources, despite local
    heterogeneity
  • Resource Specification Language (RSL) is used to
    communicate requirements
  • A layered architecture allows application-specific
    resource brokers and co-allocators to be defined
    in terms of GRAM services
  • Integrated with Condor, PBS, MPICH-G2,

37
Resource Specification Language
  • Common notation for exchange of information
    between components
  • Syntax similar to MDS/LDAP filters
  • RSL provides two types of information
  • Resource requirements Machine type, number of
    nodes, memory, etc.
  • Job configuration Directory, executable, args,
    environment
  • Globus Toolkit provides an API/SDK for
    manipulating RSL

38
GRAM Protocol
  • GRAM-1 Simple HTTP-based RPC
  • Job request
  • Returns a job contact Opaque string that can
    be passed between clients, for access to job
  • Job cancel, status, signal
  • Event notification (callbacks) for state changes
  • Pending, active, done, failed, suspended
  • GRAM-1.5 (U Wisconsin contribution)
  • Add reliability improvements
  • Once-and-only-once submission
  • Recoverable job manager service
  • Reliable termination detection

39
GT2 Implementation
  • Gatekeeper
  • Single point of entry
  • Authenticates user, maps to local security
    environment, runs service
  • In essence, a secure inetd
  • Job manager
  • A gatekeeper service
  • Layers on top of local resource management system
    (e.g., PBS, LSF, etc.)
  • Handles remote interaction with the job

40
GRAM Components
MDS client API calls to locate resources
Client
MDS Grid Index Info Server
Site boundary
MDS client API calls to get resource info
GRAM client API calls to request resource
allocation and process creation.
MDS Grid Resource Info Server
Query current status of resource
GRAM client API state change callbacks
Grid Security Infrastructure
Local Resource Manager
Allocate create processes
Request
Job Manager
Create
Gatekeeper
Process
Parse
Monitor control
Process
RSL Library
Process
41
MDS Monitoring and Discovery Service
  • Globus Information Service
  • Requirements and characteristics
  • Uniform, flexible access to information
  • Scalable, efficient access to dynamic data
  • Access to multiple information sources
  • Decentralized maintenance
  • Secure information provision

42
MDS Architecture
  • Resources run a standard information service
    (GRIS) that speaks LDAP and provides information
    about the resource
  • GIIS provides a caching service
  • Resources register with GIIS
  • GIIS pulls information when requested by a client
    (when out of date)
  • GIIS provides the collective-level
    indexing/searching function

Client 1
Client 2
GRIS register with GIIS GIIS requests info from
GRIS services
Client 1 requests infodirectly from resources.
Client 2 uses GIIS for searching collective
information.
GIIS Cache contains info from A and B
43
Protocols
  • MDS protocols based on LDAP
  • Dynamic Registration via Reg. Protocol (GRRP)
  • soft-state protocol
  • Resource Inquiry via Info. Protocol (GRIP)
  • Co-located with resource on network
  • Resource Discovery (via GRIP or other)
  • Using GRIP allows resource/directory hierarchy
  • Also well defined interfaces to add new sensor
    data

44
A Model Architecture for Data Grids
Attribute Specification
Replica Catalog
Metadata Catalog
Application
Multiple Locations
Logical Collection and Logical File Name
MDS
Selected Replica
Replica Selection
Performance Information Predictions
NWS
GridFTP Control Channel
Disk Cache
GridFTPDataChannel
Tape Library
Disk Array
Disk Cache
Replica Location 1
Replica Location 2
Replica Location 3
45
Data Management - GridFTP
  • Secure uses GSI
  • Fast parallelism (multiple TCP streams),
    striping (multiple hosts), TCP buffer control,
    data channel caching
  • Robust Enhanced restart in the face of failure,
    plug-ins
  • Other 3rd Party Transfer, Server Side
    Processing, Integrated Instrumentation

46
Data Management Standards
  • GridFTP is based on several existing standards
  • RFC 959 File Transfer Protocol
  • RFC 2228 FTP Security Extensions
  • RFC 2389 Feature Negotiation (FEAT,OPTS)
  • Draft structured file listing, MODE S restart
  • New drafts
  • GridFTP Protocol Extensions to FTP for the Grid
  • Draft before the Grid Forum Working Group

47
From Standard Protocols to Grid Services
  • Heterogeneous protocol base was hurting us
  • Increasing number of virtual services that needed
    to be managed
  • Web services (WSDL, SOAP) appeared

48
The Evolution ofGrid Technologies and Standards
Increased functionality, standardization
Custom solutions
1990
1995
2000
2005
2010
49
Heterogenous Protocol Base
  • Our core protocols (GRAM, LDAP, GridFTP) had
    overlapping but different functionality
  • E.g. Each allows monitoring, but in different
    ways and with different functionality
  • But we increasingly wanted to integrate across
    protocols
  • E.g. Generic monitoring services (archival and
    replay, correlation, etc.) that could work with
    all of these core protocols
  • A common protocol base sure would be convenient

50
Managing Virtual Services
  • Trying to manage total system properties
  • E.g. Dependability, end-to-end QoS
  • Resource tends to connote a tangible entity to
    be consumed cpu, storage, bandwidth,
  • But many interesting services may be decoupled
    from any particular resource
  • E.g. Finite element analysis service
  • A service consumes resources, but how that
    happens is irrelevant to the client
  • Service forms a better base abstraction
  • Can apply to physical or virtual

51
Service
  • Implementation of a protocol that defines a set
    of capabilities
  • Protocol defines interaction with service
  • All services require protocols
  • Not all protocols are used to provide services
    (e.g. IP, TLS)
  • Examples FTP and Web servers

52
Service Definition
  • Service definition abstract interface
    semantics
  • Interface implies protocol, through standard
    binding definitions
  • Can be mapped to language-specific APIs
  • Can be automated for multiple languages
  • This is obviously not new
  • E.g. CORBA IDL IIOP binding

53
Transient Service Instances
  • Web services address discovery invocation of
    persistent services
  • Interface to persistent state of entire
    enterprise
  • In Grids, must also support transient service
    instances, created/destroyed dynamically
  • Interfaces to the states of distributed
    activities
  • E.g. workflow, video conf., dist. data analysis
  • Significant implications for how services are
    managed, named, discovered, and used
  • In fact, much of Grid is concerned with the
    management of service instances

54
Grid EvolutionOpen Grid Services Architecture
  • Refactor Globus protocol suite to enable common
    base and expose key capabilities
  • Service orientation to virtualize resources and
    unify resources/services/information
  • Embrace key Web services technologies
  • WSDL Language for defining abstract service
    interfaces
  • SOAP (and friends) Binding from WSDL to bytes on
    the wire
  • Address discovery invocation of persistent
    services
  • Grids also need transient service instances
  • Result standard interfaces behaviors for
    distributed system management the Grid service

55
OGSA Structure
  • A standard substrate the Grid service
  • OGSI Open Grid Service Infrastructure
  • Standard interfaces and behaviors that address
    key distributed system issues
  • Much borrowed from GT abstractions
  • supports standard service specifications
  • Resource mgt, dbms, workflow, security,
  • Target of current planned GGF efforts
  • and arbitrary application-specific services
    based on these other definitions

56
Open Grid Services Architecture
  • Priorities
  • Data access and integration
  • Security
  • SLA negotiation
  • Manageability
  • Monitoring

GWD-R (draft-ggf-ogsa-platform-3)
Editors Open Grid Services
Architecture Platform I.
Foster, Argonne U.Chicago http//www.ggf.org/ogs
a-wg D.
Gannon, Indiana U.
57
OGSI Grid Service Specification
  • Defines WSDL conventions and GSDL extensions
  • For describing and structuring services
  • Working with W3C WSDL working group to drive GSDL
    extensions into WSDL
  • Defines fundamental interfaces (using WSDL) and
    behaviors that define a Grid Service
  • A unifying framework for interoperability
    establishment of total system properties

58
Standard Interfaces BehaviorsFour
Interrelated Concepts
  • Naming and bindings
  • Every service instance has a unique name, from
    which can discover supported bindings
  • Lifecycle
  • Service instances created by factories
  • Destroyed explicitly or via soft state
  • Information model
  • Service data associated with Grid service
    instances, operations for accessing this info
  • Basis for service introspection, monitoring,
    discovery
  • Notification
  • Interfaces for registering existence, and
    delivering notifications of changes to service
    data

59
The Grid Service Interfaces/Behaviors Service
Data
  • Required
  • Introspection (service data)
  • Explicit destruction
  • Soft-state lifetime

GridService (required)
other interfaces (optional)
  • Optional
  • Service creation- Notification
  • Registration
  • Collections
  • application-specific interfaces

Service data element
Service data element
Service data element
Implementation
  • Binding properties
  • Authentication
  • Reliable invocation
  • Transactions
  • QoSh

Hosting environment/runtime (C, J2EE, .NET, )
60
ExampleReliable File Transfer Service
Client
Client
Client
Request and manage file transfer operations
Grid Service
Notfn Source
File Transfer
Policy
Fault Monitor
Pending
interfaces
Query /or subscribe to service data
Performance
service data elements
Internal State
Policy
Perf. Monitor
Faults
Data transfer operations
61
GT2 Evolution To GT3
  • ALL of GT2 functionality is in GT3
  • What happened to the GT2 key protocols?
  • Security Adapting X.509 proxy certs to integrate
    with emerging WS standards
  • GRIP/LDAP Abstractions integrated into OGSI as
    serviceData
  • GRAM ManagedJobFactory and related service
    definitions
  • GridFTP Unchanged in 3.0, but will evolve into
    OGSI-compliant service in 2004
  • Also rendering collective services in terms of
    OGSI RFT, RLS, CAS, etc.

62
This talk
  • What is Grid Computing?
  • Whos using Grids?
  • What is Globus?
  • What does Globus do?
  • Some other resources
  • NMI GRIDS center
  • Grid Technology Repository (GTR)
  • Global Grid Forum (GGF)
  • General support info

63
GRIDS Center (NMI)
  • GRIDS Center
  • GRIDS Grid Research Integration Development and
    Support
  • Partnership of leading teams in Grid computing
  • Funded by NSF Middleware Initiative (NMI)
  • Goal Design, Develop, Deploy and Support
  • Define an integrated, modular architecture that
    addresses current projected middleware
    requirements for the SE communities
  • Create robust, tested, packaged, documented, and
    well-supported middleware solutions that are
    extensible within and beyond SE

64
GRIDS CenterSoftware Suite
  • Globus Toolkit
  • Condor-G
  • Enhanced version of the core Condor software
    optimized to work with GT for managing Grid jobs.
  • Network Weather Service (NWS)
  • Monitors and dynamically forecasts performance of
    network and computational resources.
  • Grid Packaging Tools (GPT)
  • XML-based packaging data format defines complex
    dependencies between components.
  • GSI-OpenSSH
  • Modified version adds support for Grid Security
    Infrastructure (GSI) authentication and single
    sign-on capability

65
GRIDS CenterSoftware Suite (cont.)
  • MyProxy
  • Repository lets users retrieve a proxy credential
    on demand, without managing private key and
    certificate files across sites and applications.
  • MPICH-G2
  • Grid-enabled implementation of the Message
    Passing Index (MPI) standard, based on the
    popular MPICH library. 
  • GridConfig
  • Manages the configuration of GRIDS components,
    letting users regenerate configuration files in
    native formats and ensure consistency.
  • KX.509 and KCA
  • A tool from EDIT that bridges Kerberos and PKI
    infrastructure.

66
GRIDS platforms
  • NMI-R3.1 maintenance release supports
  • Red Hat Linux 7.2, 7.3, 8.0 and 9.0 on IA32
  • Red Hat Linux 7.2 on IA64
  • SuSE Linux Enterprise Server 8 on IA64
  • Solaris 8.0 on SPARC
  • Distributed as binaries
  • Source distribution is available, but is not
    officially supported

67
Grid Technology Repository (GTR)
  • Repository of code, documents, etc. related to
    Grid computing, and free to the community
  • Additional information providers
  • Service data browser for GT3
  • Documentation on deployment strategies
  • And more!
  • International, community-driven effort, with
    contributions welcome from academia, industry and
    individuals without institutional affiliation
  • Contributions are available on a "use at your own
    risk" basis
  • http//gtr.globus.org

68
Global Grid Forum (GGF)
  • An Open Process for Development of Standards
  • Grid Recommendations process modeled after
    Internet Standards Process (IETF)
  • Persistent, Reviewed Document Series (similar to
    RFC)
  • A Forum for Information Exchange
  • Experiences, patterns, structures
  • Useful even if every application Grid were
    completely separate and not interoperablebut
    ideally will result in interoperability!
  • A Regular Gathering to Encourage Shared Effort
  • In code development libraries, tools
  • Via resource sharing shared Grids
  • In infrastructure consensus standards
  • http//www.ggf.org

69
General Help and Support
  • Globus-discuss list
  • discuss_at_globus.org
  • http//globus.org/about/contacts.html
  • Bugzilla
  • Bugzilla.globus.org

70
Upcoming Globus Plans
  • GT 3.O RELEASED June 2002!
  • Address transition operations issues
  • GT 3.2 release end of 2003, early 2004
  • New GridFTP server, Community access service,
    better index service, plus bug fixes
  • GlobusWorld 2004 in San Francisco
  • January 20-23
  • http//www.globusworld.org

71
Recap Why You Should Care
  • Grid Computing means sharing resources for
    coordinated problem solving
  • Many applications are using this approach
  • Globus is the defacto standard
  • Security, resource management, information
    services, file transfer and more
  • OGSA/OGSI

72
For More Information
  • Jennifer Schopf
  • jms_at_mcs.anl.gov
  • The Globus Project
  • www.globus.org
  • Technical articles
  • www.globus.org/research/
  • papers.html
  • Open Grid Services Arch.
  • www.globus.org/ogsa
  • Global Grid Forum
  • www.ggf.org
  • NMI GRIDS center
  • www.grids-center.org

2nd Edition to appear November 2003
73
(No Transcript)
74
Key Events in Early Grid history
Does not include downloads fromNMI, UK
eScience, EU Datagrid,IBM, Platform, etc.
GT 2.0 Released
GT 2.2 Released
Physiology of the Grid Paper Released
GT 2.0 beta Released
NSF GRIDS CenterInitiated, DOE begins SciDAC
program
Anatomy of the Grid Paper Released
Significant Commercial Interest in Grids
GT 1.1.4 and MPICH-G2 Released
The Grid Blueprint for a New Computing Infrastruc
ture published
NSF European Commission Initiate Many New Grid
Projects
First EuroGlobus Conference Held in Lecce
GT 1.1.3 Released
MPICH-G released
Early Application Successes Reported
GT 1.1.2 Released
Globus Project wins Global Information
Infrastructure Award
GT 1.0.0 Released
GT 1.1.1 Released
NASA initiatesInformation Power Grid,DOE
increases support
75
Layered Grid Architecture
The Anatomy of the Grid Enabling Scalable
Virtual Organizations, Foster, Kesselman,
Tuecke, Intl Journal of High Performance
Computing Applications, 15(3), 2001.
76
Layers of Grid Architecture
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