Globus Toolkit® 4 Status and Experiences · 2006-08-04 · Capabilities, performance, implementation ... (MDS) Data Mgmt Security Common Runtime Execution Mgmt Info Services Web

Ian Foster & Lisa ChildersArgonne National Laboratory

University of Chicago

Globus Toolkit® 4Status and Experiences

A Workshop at GGF14

2

On April 29, 2005 the On April 29, 2005 the On April 29, 2005 the Globus Alliance releasedGlobus Alliance releasedGlobus Alliance releasedthe finest version of the the finest version of the the finest version of the Globus Toolkit to date!Globus Toolkit to date!Globus Toolkit to date!

3

OverviewGT4 introduction (90 minutes)

Capabilities, performance, implementation of standards, future directions

Related tools

Discussion

Early Experiences (90 minutes)GridCast

Intel

Condor-G and GriPhyN

Ninf-G4

Discussion

4

The Application-Infrastructure Gap

Dynamicand/or

DistributedApplications

A

1

B

1

99

Shared Distributed Infrastructure

5

Provisioning

Bridging the Gap:Grid Infrastructure

Service-oriented Gridinfrastructure

Provision physicalresources to support application workloads

ApplnService

ApplnService

Users

Workflows

Composition

Invocation

Service-oriented applicationsWrap applications as services

Compose applicationsinto workflows

6

Globus is Grid Infrastructure

Software for Grid infrastructureService enable new & existing resources

E.g., GRAM on computer, GridFTP on storage system, custom application service

Uniform abstractions & mechanisms

Tools to build applications that exploit Grid infrastructure

Registries, security, data management, …

Open source & open standardsEach empowers the other

Enabler of a rich tool & service ecosystem

7

A Typical eScience Use of Globus:Network for Earthquake Eng. Simulation

Links instruments, data, computers, people

8

An eBusiness Use of Globus:SAP Demonstration @ GlobusWorld3 Globus-enabled applns:

CRM: Internet Pricing Configurator (IPC)

CRM: Workforce Management (WFM)

SCM: Advanced Planner & Optimizer (APO)

Applications modified to:Adjust to varying demand & resources

Use Globus to discover & provision resources

IPCDispatcher

IPCServerRequest:

Price QueryDelegation of

Request

Response: PricelistDepending on:- Time- Discount- Number of Items- …

Web Browsers / Batch Processes(typically several thousand requests)

IPCServer

1

2

2

3

SAP AG R/3 Internet Pricing & Configurator (IPC)

9

Globus Toolkit

Core Web servicesInfrastructure for building new services

SecurityApply uniform policy across distinct systems

Execution managementProvision, deploy, & manage services

Data managementDiscover, transfer, & access large data

MonitoringDiscover & monitor dynamic services

Data MgmtSecurity CommonRuntime

Execution Mgmt

Info Services

Non-WS Components

Pre-WSAuthenticationAuthorization

GridFTP C CommonLibraries

Globus Toolkit version 2 (GT2)

Grid ResourceAlloc. Mgmt(GRAM)

Monitoring& Discovery

(MDS)

Web Services

Components

Data MgmtSecurity CommonRuntime

Execution Mgmt

Info Services

Web Services

Components

Non-WS Components


GridFTP C CommonLibraries

WSAuthenticationAuthorization

ReliableFile

Transfer

Data Access& Integration

Grid ResourceAlloc. Mgmt(WS GRAM)

MDS3 Java WS Core

CommunityAuthorization

ReplicaLocation

eXtensibleIO (XIO)


Grid ResourceAlloc. Mgmt(GRAM)


(MDS)

Data Mgmt

Security CommonRuntime

Execution Mgmt

Info Services

Web Services

Components

Non-WS Components


GridFTPPre-WS

Grid ResourceAlloc. & Mgmt

Pre-WSMonitoring& Discovery

C CommonLibraries

AuthenticationAuthorization

ReliableFile

Transfer


Grid ResourceAllocation &Management

Index Java WS Core


ReplicaLocation

eXtensibleIO (XIO)

CredentialMgmt

CommunitySchedulingFramework

Delegation


DataReplication

Trigger C WS Core

Python WS CoreWebMDS

WorkspaceManagement

Grid Telecontrol

Protocol

Contrib/Preview

Core

Depre-cated

www.globus.org

13

Java Services in Apache AxisPlus GT Libraries and Handlers

YourJava

Service

YourPythonService

YourJava

Service RFT

GR

AM

Del

egat

ion

Inde

xTr

igge

rA

rchi

ver

pyGlobusWS Core

YourC

Service

C WS Core

RLS

Pre

-WS

MD

S

CAS

Pre

-WS

GR

AM

Sim

pleC

A

MyP

roxy

OG

SA

-DA

IG

TCP

Grid

FTP

C Services using GT Libraries and HandlersSERVER

CLIENT

InteroperableWS-I-compliant

SOAP messaging

YourJavaClient

YourC

Client

YourPythonClient

YourJavaClient

YourC

Client

YourPythonClient

YourJavaClient

YourC

Client

YourPythonClient

YourJavaClient

YourC

Client

YourPythonClient

X.509 credentials =common authentication

Python hosting, GT Libraries

GT4 Components

14

Our Goals for GT4

Usability, reliability, scalability, …Web service components have quality equal or superior to pre-WS components

Documentation at acceptable quality level

Consistency with latest standards (WS-*, WSRF, WS-N, etc.) and Apache platform

WS-I Basic Profile compliant

WS-I Basic Security Profile compliant

New components, platforms, languagesAnd links to larger Globus ecosystem

15

Contrib/Preview

Core

Data Mgmt

Security Execution Mgmt

Info Services

Web Services

Components

Non-WS Components


GridFTPPre-WS




ReliableFile

Transfer



Index


ReplicaLocation

CredentialMgmt


Delegation DataReplication

Trigger

WebMDS

WorkspaceManagement

Grid Telecontrol

ProtocolDepre-cated

www.globus.org

CommonRuntime

C CommonLibraries

Java WS Core

eXtensibleIO (XIO)

C WS Core

Python WS Core

GT4 Common Runtime

16

CustomWeb

ServicesWS-Addressing, WSRF,

WS-Notification

CustomWSRF Web

Services

GT4WSRF Web

Services

WSDL, SOAP, WS-Security

User Applications

Reg

istry

Adm

inis

tratio

n

GT4

Con

tain

erGT4 Web Services Core

17

GT4 Web Services Core

Supports both GT (GRAM, RFT, Delegation, etc.) & user-developed services

Redesign to enhance scalability, modularity, performance, usability

Leverages existing WS standardsWS-I Basic Profile: WSDL, SOAP, etc.

WS-Security, WS-Addressing

Adds support for emerging WS standardsWS-Resource Framework, WS-Notification

Java, Python, & C hosting environmentsJava is standard Apache

18

WSRF & WS-Notification

Naming and bindings (basis for virtualization)Every resource can be uniquely referenced, and has one or more associated services for interacting with it

Lifecycle (basis for fault resilient state mgmt)Resources created by services following factory pattern

Resources destroyed immediately or scheduled

Information model (basis for monitoring, discovery)Resource properties associated with resources

Operations for querying and setting this info

Asynchronous notification of changes to properties

Service groups (basis for registries, collective svcs)Group membership rules & membership management

Base Fault type

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WSRF/

WSN

sCom

par

ed(H

PDC 2

005)

PartialNoPartialPartialPartialWS-Topics

YesNoNoNoPartialWS-BrokeredNotification

YesNoYesConsumerYesWS-BaseNotification

YesYesYesYesYesWS-BaseFaults

YesYesYesYesYesWS-ServiceGroup

YesYesYesYesYesWS-ResourceProperties

YesYesYesYesYesWS-ResourceLifetime

WSE diagnosticsYesYesYesLog4JLogging

YesNoYesYesYesCompliance withWS-I Basic Security Profile

YesIn progressYesYesYesCompliance with WS-I Basic Profile

YesYes (Apache)YesNoYesUnmodified hosting environment

Depends on resource state

0 (file/DB) or 10B (process)

Depends on resource state70B

Depends on resource stateMemory size per WS-Resource

Depends12 MB12 MB22 KBJVM + 10MMemory Footprint

YesYesYesNot defaultYesPersistence of WS-Resources

NoneCalloutMultipleMultipleAuthorization

YesYesYesYesYesTLS/SSL

YesNoYesNoYesWS-SecureConversation

YesIn progressYesIn progressYesWS-Security X.509 profile

YesIn progressIn progressNoYesWS-Security password profile

C#/C++/VBasic, etc.PerlPythonCJavaLanguages supported

WSRF.NETWSRF::LitepyGridWareGT4-CGT4-Java

20GT4 WS Core Performance

101.57244.93N/A219.51Notify

86.89136.1215.76182.03DestroyR

96.22132.2614.98188.46CreateR

82.48142.2114.99182.04SetRP

81.39140.5014.77181.96GetRP

WSRF.NETGT4 PythonGT4 CGT4 Java

45.0169.079.6729.26Notify

16.05149.212.7114.92destroyR

20.84132.602.8218.00createR

12.3150.792.8611.47setRP

12.91149.672.8511.46getRP

WSRF.NETGT4 PythonGT4 CGT4 Java

(1) Message-level security (times in milliseconds)

(2) Transport-level security (times in milliseconds)

“WSRF/WSNs Compared,” HPDC 2005.

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Contrib/Preview

Core

CommonRuntime

C CommonLibraries

Java WS Core

eXtensibleIO (XIO)

C WS Core

Python WS Core

Data Mgmt

Execution Mgmt

Info Services

Web Services

Components

Non-WS Components

GridFTPPre-WS



ReliableFile

Transfer



Index

ReplicaLocation


DataReplication

Trigger

WebMDS

WorkspaceManagement

Grid Telecontrol

ProtocolDepre-cated

www.globus.org

GT4 Security

Security




CredentialMgmt

Delegation

22

Globus Security

Control access to shared servicesAddress autonomous management, e.g., different policy in different work-groups

Support multi-user collaborationsFederate through mutually trusted services

Local policy authorities rule

Allow users and application communities to set up dynamic trust domains

Personal/VO collection of resources working together based on trust of user/VO

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Organization A Organization B

Compute Server C1Compute Server C2

Compute Server C3

File server F1 (disks A and B)

Person C(Student)

Person A(Faculty)

Person B(Staff) Person D

(Staff)Person F(Faculty)

Person E(Faculty)

Virtual Community C

Person A(Principal Investigator)

Compute Server C1'

Person B(Administrator)

File server F1 (disk A)

Person E(Researcher)

Person D(Researcher)

Virtual Organization (VO) Concept

VO for each application or workload

Carve out and configure resources for a particular use and set of users

24

GT4 Security

VO

RightsUsers

Rights’

ComputeCenter

Access

Services (runningon user’s behalf)

Rights

Local policyon VO identityor attributeauthority

CAS or VOMSissuing SAMLor X.509 ACs

SSL/WS-Securitywith ProxyCertificates

Authz Callout

KCA

MyProxy

25

GT4 SecurityPublic-key-based authentication

Extensible authorization framework based on Web services standards

SAML-based authorization calloutAs specified in GGF OGSA-Authz WG

Integrated policy decision engineXACML policy language, per-operation policies, pluggable

Credential management serviceMyProxy (One time password support)

Community Authorization Service

Standalone delegation service

26

GT4’s Use of Security Standards

Supported, Supported, Fastest, but slow but insecure so default

27

GT-XACML Integration

eXtensible Access Control Markup LanguageOASIS standard, open source implementations

XACML: sophisticated policy language

Globus Toolkit ships with XACML runtimeIncluded in every client and server built on GT

Turned-on through configuration

… that can be called transparently from runtime and/or explicitly from application …

… and we use the XACML-”model” for our Authz Processing Framework

28

GT Authorization Framework

29

Other Security Services Include …

MyProxySimplified credential management

Web portal integration

Single-sign-on support

KCA & kx.509Bridging into/out-of Kerberos domains

SimpleCAOnline credential generation

PERMISAuthorization service callout

30

Contrib/Preview

Core

Security




CredentialMgmt

Delegation

CommonRuntime

C CommonLibraries

Java WS Core

eXtensibleIO (XIO)

C WS Core

Python WS Core

Execution Mgmt

Info Services

Web Services

Components

Non-WS Components

Pre-WSGrid ResourceAlloc. & Mgmt



Index


Trigger

WebMDS

WorkspaceManagement

Grid Telecontrol

ProtocolDepre-cated

www.globus.org

GT4 Data Management

Data Mgmt

GridFTP

ReliableFile

Transfer


ReplicaLocation

DataReplication

31

GT4 Data ManagementStage/move large data to/from nodes

GridFTP, Reliable File Transfer (RFT)

Alone, and integrated with GRAM

Locate data of interestReplica Location Service (RLS)

Replicate data for performance/reliabilityDistributed Replication Service (DRS)

Provide access to diverse data sourcesFile systems, parallel file systems, hierarchical storage: GridFTP

Databases: OGSA DAI

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GridFTP in GT4100% Globus code

No licensing issues

Stable, extensible

IPv6 Support

XIO for different transports

Striping multi-Gb/sec wide area transport27 Gbit/s on 30 Gbit/s link

PluggableFront-end: e.g., future WS control channel

Back-end: e.g., HPSS, cluster file systems

Transfer: e.g., UDP, NetBLT transport

p g

02000400060008000

100001200014000160001800020000

0 10 20 30 40 50 60 70

Degree of Striping

Ban

dwid

th (M

bps)

# Stream = 1 # Stream = 2 # Stream = 4# Stream = 8 # Stream = 16 # Stream = 32

Disk-to-disk onTeraGrid

33

Reliable File Transfer:Third Party Transfer

RFT Service

RFT Client

SOAP Messages

Notifications(Optional)

DataChannel

Protocol Interpreter

MasterDSI

DataChannel

SlaveDSI

IPCReceiver

IPC Link

MasterDSI

Protocol Interpreter

Data Channel

IPCReceiver

SlaveDSI

Data Channel

IPC Link

GridFTP Server GridFTP Server

Fire-and-forget transfer

Web services interface

Many files & directories

Integrated failure recovery

Has transferred 900K files

34

Replica Location Service

Identify location of files via logical to physical name map

Distributed indexing of names, fault tolerant update protocols

GT4 version scalable & stable

Managing ~40 million files across ~10 sites

IndexIndex

50 M17575 M

10 M2421 M

1 M2

35

Cardiff

AEI/Golm

Birmingham•

Reliable Wide Area Data Replication

Replicating >1 Terabyte/day to 8 sites>30 million replicas so farMTBF = 1 month

LIGO Gravitational Wave Observatory

www.globus.org/solutions

36

Security




CredentialMgmt

Delegation

Contrib/Preview

Core

CommonRuntime

C CommonLibraries

Java WS Core

eXtensibleIO (XIO)

C WS Core

Python WS Core

Data Mgmt

Info Services

Web Services

Components

Non-WS Components

GridFTPPre-WS


ReliableFile

Transfer


Index

ReplicaLocation

DataReplication

Trigger

WebMDS

Depre-cated

www.globus.org

GT4 Execution Management

Execution Mgmt

Pre-WSGrid ResourceAlloc. & Mgmt



WorkspaceManagement

Grid Telecontrol

Protocol

37

Execution Management (GRAM)

Common WS interface to schedulersUnix, Condor, LSF, PBS, SGE, …

More generally: interface for process execution management

Lay down execution environment

Stage data

Monitor & manage lifecycle

Kill it, clean up

A basis for application-driven provisioning

38

GT4 WS GRAM

2nd-generation WS implementation optimized for performance, flexibility, stability, scalability

Streamlined critical pathUse only what you need

Flexible credential managementCredential cache & delegation service

GridFTP & RFT used for data operationsData staging & streaming output

Eliminates redundant GASS code

39

GRAMservices

GT4 Java Container

GRAMservices

Delegation

RFT FileTransfer

Transferrequest

GridFTPRemote storage element(s)

Localscheduler

Userjob

Compute element

GridFTP

sudo

GRAMadapter

FTPcontrol

Local job control

Delegate

FTP data

Clie

nt

Job

functions

Delegate

Service host(s) and compute element(s)

GT4 WS GRAM Architecture

SEGJob events

40

GRAMservices

GT4 Java Container

GRAMservices

Delegation

RFT FileTransfer

Transferrequest


Localscheduler

Userjob

Compute element

GridFTP

sudo

GRAMadapter

FTPcontrol

Local job control

Delegate

FTP data

Clie

nt

Job

functions

Delegate



SEGJob events

Delegated credential can be:Made available to the application

41

GRAMservices

GT4 Java Container

GRAMservices

Delegation

RFT FileTransfer

Transferrequest


Localscheduler

Userjob

Compute element

GridFTP

sudo

GRAMadapter

FTPcontrol

Local job control

Delegate

FTP data

Clie

nt

Job

functions

Delegate



SEGJob events

Delegated credential can be:Used to authenticate with RFT

42

GRAMservices

GT4 Java Container

GRAMservices

Delegation

RFT FileTransfer

Transferrequest


Localscheduler

Userjob

Compute element

GridFTP

sudo

GRAMadapter

FTPcontrol

Local job control

Delegate

FTP data

Clie

nt

Job

functions

Delegate



SEGJob events

Delegated credential can be:Used to authenticate with GridFTP

43

GT4 WS GRAM Performance

128

64

32

16

8

4

2

1

7163647280

6566707375

6764687576

502764757777

69276572777759

6952696877785829

6470707479582915

706969805729157

1286432168421

Number of Client Threads (M)

All numbers are simple jobs/minute, no delegation or staging

Su

stain

ed

Jo

b L

oad

P

er

Cli

en

t Th

read

(N

)

44

Security




CredentialMgmt

Delegation

Contrib/Preview

Core

CommonRuntime

C CommonLibraries

Java WS Core

eXtensibleIO (XIO)

C WS Core

Python WS Core

Data Mgmt

Execution Mgmt

Web Services

Components

Non-WS Components

GridFTPPre-WS


ReliableFile

Transfer



ReplicaLocation


DataReplication

WorkspaceManagement

Grid Telecontrol

ProtocolDepre-cated

www.globus.org

GT4 Information Services

Info Services


Index

Trigger

WebMDS

45

Monitoring and Discovery

“Every service should be monitorable and discoverable using common mechanisms”

WSRF/WSN provides those mechanisms

A common aggregator framework for collecting information from services, thus:

MDS-Index: Xpath queries, with caching

MDS-Trigger: perform action on condition

(MDS-Archiver: Xpath on historical data)

Deep integration with Globus containers & services: every GT4 service is discoverable

GRAM, RFT, GridFTP, CAS, …

46

GT4 Container

GT4 Monitoring & Discovery

GRAM User

MDS-Index

GT4 Cont.

RFT

MDS-Index

GT4 Container

MDS-Index

GridFTP

adapter

Registration &WSRF/WSN Access

Custom protocolsfor non-WSRF entities

Clients(e.g., WebMDS)

Automatedregistrationin container

WS-ServiceGroup

47

Index Server Performance (3.9.4)IndexSize

1 client 2 Clients 25 Clients 100 Clients

Sing. cltq/sec

Resp. Time (msec)

Sing. cltq/sec

Resp. Time (msec)

Sing. cltq/sec

Resp. Time (msec)

Sing. cltq/sec

Resp. Time (msec)

10 24 40 22 44 4.5 245 0.85 1243

30 15 64 10 93 n/a n/a n/a n/a

100 5 190 4 265 0.78 1334 0.19 5824

48

Index Server Performance

As the MDS4 Index grows, query rate and response time both slow, although sublinearly

Response time slows due to increasing data transfer size

Full Index is being returned

Response is re-built for every query

Real question – how much over simple WS-N performance?

49

GT4 Documentation

is Much Improved!

50

Working with GT4

Download and use the software, and provide feedback

Join [email protected] mail list

Review, critique, add to documentationGlobus Doc Project: http://gdp.globus.org

Tell us about your GT4-related tool, service, or application

Email [email protected]

51

Future Directions

52

The Future:It’s All About VOs

We now have a solid and extremely powerful Web services base

Next, we will build an expanded open source Grid infrastructure

Virtualization

New services for provisioning, data management, security, VO management

End-user tools for application development

Etc., etc.

And of course responding to user requests for other short-term needs

53

2005 and Beyond

We have a solid Web services base

We now want to build, on that base, a open source service-oriented infrastructure

Virtualization

New services for provisioning, data management, security, VO management

End-user tools for application development

Etc., etc.

54

Short-Term Priorities: Security

Improve GSI error reporting & diagnostics

Secure password, one-time password, Kerberos support for initial log on

Trust roots, use of GridLogon

Identity/attribute assertions in GT auth. callouts (e.g., Shib, PERMIS, VOMS, SAML)

Extend CAS admin & policy support

Security logging with management control for audit purposes

55

Short-Term Priorities: Data Management

Space & bandwidth management in GridFTP

Concurrency in globus-url-copy

Priorities in RFT

Data replication service

Enhance policy support in data services

Physical file name creation service

Scalable & distributed metadata manager

56

Short-Term Priorities: Execution Management

Implement GGF JSDL once finalized

Advance reservation support

Policy-driven restart of “persistent” jobs

Improved information collection for jobs

Improved management of job collections

Credential refresh

Virtual workspace service

Integration of virtual machines (Xen, VMware) and associated services

Windows port of WS GRAM

57

Short-Term Priorities: Information Services

Many more information sources, including gateways to other systems

Automated configuration of monitoring

Specialized monitoring displays

Performance optimization of registry

Archiver service

Helper tools to streamline integration of new information sources

58

Short-Term Priorities: WS Core

Streamlined container configuration

Remote management interface

Dynamic service deployment

Service isolation: multiple service instances

WS-Notification, subscription performance

Full functionality in C WS Core

Optimized WS-ServiceGroup support

WS-SecureConversation support

59

What to Expect in the Coming Months …

Support for users of GT4Working to make sure the toolkit meets user needs

Answering questions on the mailing lists

Further improving documentation

Normal evolution of performance, scalability and feature enhancements

Development of new tools and services in support of VOs

60

Future Release Plans

Short termAn incremental 4.0.1 release in a few weeks

Medium termAdditional incremental releases

Additional packages (e.g., VM support)

Long termNew version (4.1/4.2): no date set yet

61

Sidebar: What is an Incremental Release?

3.0.0 3.2.0

3.9.5

4.0.03.9.4

3.9.3

4.0.1

3.9.2

3.9.1

3.9.0

3.3.0

3.2.13.0.1

3.0.2

CVSTRUNK

CVSSTABLERELEASE

BRANCHES

62

4.0.1 Release Highlights(ETA early July)

Important bug fixes, including the WS MDS exploit and C message-level security fixes

Improved support for Tomcat container

A version of OGSA-DAI with a complete set of public interfaces

MPICH-G2 support

Updates of many contributions and tech previews

Full Apache license

63

GT4-Related Tools

64

The Globus Ecosystem

Globus components address core issues relating to resource access, monitoring, discovery, security, data movement, etc.

GT4 being the latest version

A larger Globus ecosystem of open source and proprietary components provide complementary components

A growing list of components

These components can be combined to produce solutions to Grid problems

We’re building a list of such solutions

65

Many Tools Build on, or Can Contribute to, GT4-Based Grids

Condor-G, DAGmanMPICH-G2GRMSNimrod-GNinf-GOpen Grid Computing Env. Commodity Grid ToolkitGriPhyN Virtual Data SystemVirtual Data ToolkitGridXpert Synergy

Platform Globus ToolkitVOMSPERMISGT4IDESun Grid EnginePBS schedulerLSF schedulerGridBusTeraGrid CTSSNEESIBM Grid Toolbox…

66

DocumentingThe Grid

Ecosystem

The Grid Ecosystem: Software Components for Grid SystemsAnd Applications

www.grids-center.org

67

Example Solutions

Portal-based User Reg. System (PURSE)

VO Management Registration Service

Service Monitoring Service

TeraGrid TGCP Tool

Lightweight Data Replicator

GriPhyN Virtual Data System

68

Condor-G

The Condor Project @ U Wisconsin Madison develops software for high-throughput computing on collections of distributed compute resourcesCondor-G is an interface to GRAM created by the Condor team that allows users to submit jobs to GRAM servers

(Jamie Frey of Condor will speak in the “Early Experiences” section)

69

GridShib

Allows the use of Shibboleth-transported attributes for authorization in GT4 deployments

And, more generally, SAML support

2 year project started December 1, 2004

ParticipantsVon Welch, UIUC/NCSA (PI)

Kate Keahey, UChicago/Argonne (PI)

Frank Siebenlist, Argonne

Tom Barton, UChicago

70

Handle System

The Handle System from CNRI (http://www.handle.net) is a general-purpose global name service enabling secure name resolution over the internet

The Handle System-GT Integration Project leverages the Handle System for identifier and resolution services through tight integration with GT4’s Web services protocols

71

MPICH-G2

MPICH-G2, developed at Northern Illinois University and Argonne National Lab, is a grid-enabled implementation of the MPI v1.1 standard

MPICH-G2 is implemented using the pre-WS GRAM component in GT4; integration with GT4 WS GRAM is expected in the near future

72

Nimrod/G

Nimrod is a specialized parametric modeling system from Monash University

Nimrod/G uses a simple declarative parametric modeling language to express parameter sweep experiments. Based on GT4 WS services, Nimrod/G enables the formulation, execution and monitoring of multiple individual parametric experiments

73

Ninf-G4

Ninf-G4, from AIST, is a reference implementation of the GGF standard GridRPC API

Ninf-G4 is provides higher-level programming APIs for the development and execution of parallel applications on the Grid

(Hidemoto Nakada of AIST will speak in the “Early Experiences” section)

74

PERMIS

PERMIS is an EU-funded Privilege Management service that implements Role-Based Access Control

Thanks to the work of the UK Grid Engineering Task Force, services running in a Java WS Core container can use PERMIS via GT4’s SAML authorization callouts

75

SRB

SRB is a package from SDSC providing a uniform interface for connecting to network-based heterogeneous data resources

GT4’s GridFTP includes an interface to SRB data sources, and vice versa

76

Sun Grid Engine

TheSun Grid Engine is an open source distributed resource management system from Sun Microsystems

In a collaboration between the London e-Science Centre, Gridwise and MCNC, the Sun Grid Engine has been integrated with GT4

77

For More Information

Links to these projects are listed on the “Related Software” of the Globus Toolkit web http://www.globus.org/toolkit/tools/

If we’ve got details wrong or you have a GT4-related tool to list on our website, please send mail to [email protected]

78

Questions?Questions?Questions?

Documents

Globus Toolkit® 4 Status and Experiences · 2006-08-04 · Capabilities, performance, implementation ... (MDS) Data Mgmt Security Common Runtime Execution Mgmt Info Services Web