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Grid programming with components: an advanced COMPonent platform for an effective invisible grid © 2006 GridCOMP Grids Programming with components. An.

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Presentation on theme: "Grid programming with components: an advanced COMPonent platform for an effective invisible grid © 2006 GridCOMP Grids Programming with components. An."— Presentation transcript:

1 Grid programming with components: an advanced COMPonent platform for an effective invisible grid © 2006 GridCOMP Grids Programming with components. An advanced component platform for an effective invisible grid is a Specific Targeted Research Project supported by the IST programme of the European Commission (DG Information Society and Media, project n°034442) Methodology for Component-based Development of Grid Applications Artie Basukoski T.Weigold, P.Buhler – IBM Zurich Research Lab A.Basukoski, V.Getov, S.Isiaiadis – University of Westminster A.Basukoski02@westminster.ac.uk

2 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 2 Overview  GCM and GridCOMP  Component framework overview  The Grid integrated development environment (GIDE)  Biometric identification case study  Initial Experiences

3 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 3 GCM and GridCOMP GCM  A new advanced Grid Component Model (GCM) providing high level of abstraction and specifically designed for large scale dynamic Grid infrastructures.  Specified within the CoreGRID Euopean project. GridCOMP  EU project: Grid programming with COMPonents.  Design and implementation of a Grid component framework based on GCM.  Includes the development of a Grid IDE and several use case applications.  GCM reference implementation based on ProActive.

4 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 4 GridCOMP Component Framework Overview The GridCOMP framework is based on the Fractal component model. The main technical features of the component framework are:  Support for primitive and composite distributed components and hierarchical composition.  XML based architecture description language (ADL).  Collective interfaces to comply with Grid specific multi-way communication requirements.  A comprehensive runtime API.  Support for non-functional aspects such as component control, skeletons, and autonomicity.  Advanced component deployment via the notion of virtual nodes and deployment descriptors.

5 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 5 GridCOMP Component Framework Overview Hierarchical composition: all three components can be distributed controller content server interface client interfaces composite component primitive component primitive component non-functional (control) interfaces binding

6 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 6 GridCOMP Component Framework Overview Collective interfaces: The framework takes care of parallel invocations, data distribution, and synchronization. multicast interface (one-to-one mode) invocation parameter scattered parameterinvocation parameter gathercast interface list of aggregated parameters

7 Methodology  A generic method to develop applications based on a Grid Component Model (GCM).  Integrated IDE for Development, Deployment and Steering.  Advantages of our methodology  reduced development cycle,  increased portability, and  support of dynamic properties of the GCM-based component framework.

8 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 8 Component-Centric Problem-to-Solution Pipeline  Main issues: composition and dynamic properties – deployment, monitoring and steering  Component-based Grid platform design methodology Monitor and Steer DeploymentComposition Programming Model - GCM Applications (Algorithms) Grid Integrated Development Environment Metadata Description incl. ADL, etc. Obtaining the Solution

9 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 9 Strategy: Eclipse Framework for GIDE  Simplify complexity through graphical composition/tools  But, allowing ONLY graphical composition can be inflexible and inefficient  Support for 3 levels of Development  Graphical Composition  Based on GCM and ProActive (using ADL)  Java  Seamless integration with Eclipse  Widely supported with many potential plug-ins  “Lets not restrict developers”

10 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 10 Grid IDE Architecture - Core Block Diagram

11 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 11 GIDE – An Insight into Composition  GIDE builds on GMF for providing graphical front-end  The IDE includes  Built-in ADL parser and exporter  Verifier  Component Repository (allow packaging and sharing)  Java source code generation  ADL files are verified, parsed and then appropriate internal representations of compositions (semantic representation) and diagrams are generated.  GIDE delegates the user-interactions to these internal representations

12 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 12 GIDE – An Insight into Composition

13 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 13 Case Study: Biometric Identification System (BIS)  Identify people solely on their biometric information (1:N match)  Use fingerprint biometrics  Consider multiple fingers per person to work reliably on large user population  Use distributed matching to achieve real-time performance  Based on business process (workflow) engine for adaptability

14 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 14 Case Study: Biometric Identification System (BIS) Grid component architecture, bindings, and deployment 1.Biometric matching component CompIDMatcher is deployed on each node 2.DB of known identities is distributed across the nodes 3.Identification requests are broadcasted via multicast interface I2 4.Each node searches its part of the DB

15 Development – BIS Case Study Grid programming with components: an advanced COMPonent platform for an effective invisible grid 15

16 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 16 Case Study: Biometric Identification System (BIS) ADL Example: the composite component CompIDMatcher

17 Grid programming with components: an advanced COMPonent platform for an effective invisible grid 17 Initial Experiences  The high level of abstraction provided by the GIDE framework hides the complexity of Grid programming  The strict separation of concerns (ADL definitions, interface definitions, virtual nodes, deployment descriptors) separates the design from the deployment (physical) infrastructure  The hierarchical nature allows fast composition and facilitates reuse  Drawback: A large number of development artefacts need to be generated and maintained. This makes manual code re-factoring complex.  Need to gather development statistics in order to accurately gauge the impact of the GIDE development methodology on the development lifecycle.  The GIDE, implemented as an Eclipse plug-in. Project’s WIKI: http://perun.hscs.wmin.ac.uk/dis/gide/


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