1. Tools for Composing and Deploying Grid Middleware Web Services
Dr. Aniruddha Gokhale
Balachandran Natarajan
{gokhale,
ISIS, Vanderbilt University
Bala Natarajan
DOA 2002

2. Motivation Grid Applications require
Multiple end-to-end QoS properties
Secure, controlled access to resources from multiple service providers => need individual SLAs
E.g., collaborative scientific applications, virtual surgery
Bala Natarajan
DOA 2002

3. Grid Application Development Challenges
Tight coupling with COTS grid infrastructure middleware (GIMs)
Proliferation of GIMs, such as Globus, ICENI, Legion
Accidental complexities assembling and deploying grid applications
Need to satisfy simultaneous multiple QoS
Lack of resource reservation patterns
No single sign-on secure access capability to resources
Provisioning restrictions of COTS GIMs
Difficulties in resource and QoS provisioning
Solution: Use Model Integrated Computing tool support to build Grid Applications and use Web Services architecture to deploy them
Bala Natarajan
DOA 2002

4. Model Integrated Computing (MIC)
Modeling languages and environments themselves can be modeled as meta-models
e.g., Generic Modeling Environment (GME) (
Analyze – different but interdependent characteristics of GRID system behavior
Synthesize – platform-specific code customized for GRID applications
Applies domain-specific modeling languages to engineer computing systems
Provides rich modeling environment including model analysis and model-based program synthesis
Modeling of integrated end-to-end view of applications with interdependencies
Captures the essence of a class of applications
Bala Natarajan
DOA 2002

5. Model Integrated Computing (MIC)
Advantages
Free application developers from dependencies on any particular API
Analyze models and provide correctness proofs
Highly dependable and robust synthesized code
Rapid prototyping of new concepts via modeling and interpretation
Reducing time-to-market, saving costs, and preserving investments
Resolve interoperability issues by synthesizing standard or custom code
Bala Natarajan
DOA 2002

6. Model Driven Architecture (MDA)
OMG standardization of MIC paradigm
Defines platform- independent models (PIMs) and platform-specific Models (PSMs)
Uses Unified Modeling Language (UML) for modeling
Real-time profile
Dynamic scheduling profile
Meta Object Facility (MoF) serves as meta-model repository
XML Metadata Interchange (XMI) for meta-model exchange
Bala Natarajan
DOA 2002

7. Component Synthesis with MIC (CoSMIC)
Synthesizes code & configuration metadata for the CIAO (CORBA Component middleware)
Reusing components via compositions vs. generating new component implementations
Composition of applications components & CIAO plug-ins
CIAO helps instantiating application processes
MDA tool suite
UML modeling using GME
Analysis & synthesis tools
Enhancement to GME tool
Uses MDA standards-based approach
Bala Natarajan
DOA 2002

8. Grid TAO (GriT) Architecture
Based on principles from DP-CORBA, RT-CORBA, CCM
Seamless integration with GIMs via extensible transport capabilities
Uses web-based interfaces for service provisioning
Implemented using TAO and CIAO technology
Bala Natarajan
DOA 2002

9. Grid Service Provider (GSP)
Web service access to underlying middleware
Single sign-on capabilities
GSP maintains individual SLAs on behalf of user
Collaborations via session initiation protocol (SIP)
Bala Natarajan
DOA 2002

10. Meta-Resource Broker (MRB)
Broker for resources
Maintains abstractions of concrete resources
Uses DP-CORBA parallel and part objects
Bala Natarajan
DOA 2002

11. MRB Part Object Core
Uses TAO’s pluggable protocol framework to talk Grid protocols
Used for resource discovery and reservation
Bala Natarajan
DOA 2002

12. Integrating CoSMIC with GriT
Proliferation of middleware
UML modeling tools used to model DRE application behavior
Model-first/generate-next strategy for finer grained control in components
Simultaneous support for multiple QoS dimensions
Model overall application QoS & partitioning
Compose application servers
Model & synthesize components
Validate & deploy
Accidental Complexities
Synthesize container QoS configurations & metadata
Bala Natarajan
DOA 2002

13. Model Driven Grid Middleware Deployment
Context: Grid applications are built using conventional infrastructure middleware
Problem: Hard to develop next generation grid applications because
tight coupling with grid infrastructure
accidental complexities
satisfying multiple QoS requirements
Bala Natarajan
DOA 2002

14. Model Driven Grid Middleware Deployment
Solution: MDA-based tool, CosMIC, to compose and deploy patterns from building blocks of GriT middleware.
Bala Natarajan
DOA 2002

15. Service Provisioning via CoSMIC & GriT
Bala Natarajan
DOA 2002

16. Model Driven Grid Web Service Deployment
Context: Wireless and wired client need to participate in collaborative grid applications
Problem: Programming at the grid infrastructure is too low-level. Standard based protocols and interfaces must be used.
Solution: Services offered by GSP will be hosted as a web service.
Similar to OGSA
CosMIC can generate WSDL and help deploy these services
Bala Natarajan
DOA 2002

17. Concluding Remarks GriT enhances TAO/CIAO
Meta resource broker
Patterns for resource reservation and QoS adaptation
Uses Model Integrated Computing tools
MIC and GME details available at
Bala Natarajan
DOA 2002