Satisfying Requirements BPF for DRA shall address: –DAQ Environment (Eclipse RCP): Gumtree ISEE workbench integration; –Design Composing and Configurability, –Event Auditing: Audit trails for process network, –Modifiable signal transfer mechanism; Anticipated outcomes: –Design Composing with the UML 2.0 probably using the ratified SysML 1.0;

Satisfying Requirements Other capabilities: –Heterogenous Component Libraries, using: Processor “Wrapper” Components, Composite Reduction Components, and Java’s JNI; –Desirable: File Format import/export: IO components for NeXus support; –Propagation of: Type: Ports… –carry type and dimension properties, and –transfer only compatible Signals types; Statistical Error: an algorithm property;

Scientific Workflow A method for automated problem solving; Present at: –Scientific computing institutions and, –Corporations investing in process improvement; Traditionally achieved through –“toolkits”, and –“environments”; Kepler Project: for Scientific Workflows; Reference: “Scientific Workflows: Scientific Computing Meets Transactional Workflows”

Computation Models Ptolemy II realises: –Process design, –Concurrent simulation, and –Computation models; Ptolemy II: Directors realise computation models;

Kepler Project Aim: An open-source system to address scientific workflow simulation; Incorporates numerous scientific resources, Collaborative, and Large Component ontology: –Organised by scientific disciplines;

Kepler Project Development Contributors: –Ptolemy II framework project, –SEEK, –GEON, –EOL, –Resurgence, –ROADNet, …and many others; Current release: Version 1.0(Beta); Uses: Sun Java (revision 1.4) platform;

Ptolemy II Framework Aims: –Computation Model generation, and, –Concurrent simulation; UC Berkeley developed: –Emerged out of Ptolemy research project; Comprehensive, categorised collection components, Aggregates other projects, Extendable( e.g. Kepler extension ), and Currently release: version 6.0 (Beta); Reference: Project Website FAQ(1. General);

Ptolemy II Operation Domain Interoperability, Clustered Graph Models, Composite and Atomic Entities and Ports: –Ports: Typed enforceable, and Token-passing; Hierarchical Entities Executed using: –Container attribute: Director;

Domains Computation model simulation, or Simulating Programmatic paradigms; Ptolemy II “Directors” realise several: –Beta (Version 6.0): 20+ methods available: traditional and experimental; –Kepler restricts to subset of 4: Continuous, Discrete Time domains, Processing Networks, and Synchronous Data Flow; Bragg Process Framework adopts: –Synchronous Data transfer: Ports communicate a single signal;

Historical Ptolemy Developed at Faculty of Electrical Engineering and Computer Science, UC Berkeley ( Research: –Functional assembly of heterogenous computation models;

Ptolemy II Facilities Subprojects: –“Vergil”: Graphical User Interface (GUI) framework, Provides model manipulation and simulation control; For SVG rendering: “Grid” (project) component; –“Plot”: a graphical plotting package; –“Copernicus”: ‘Deep’ source generation: Java and ANSI C languages; Recent additions: –Semantic system;

DRA Requirements Kepler addresses: –Algorithm Libraries: Actor Libraries *, –Configurability and portability: Composable, Composite workflows, and Model Persistence (MoML); –Execution control through Director “layers”: Formulates “port firing schedule” per actor, and SDF Domain Director suits Data Reduction;

DRA Requirements Is Kepler suitable? –NeXus Support: requires… Actor development: adapt to NeXus File IO libraries, and Usage of SRB Actors for structure retrieval; –Propagation of: Type: –Directors evaluate IO Port token type criteria; Errors: perhaps… –Algorithms export to “sink” actors for: storage and/or display; Operational Errors: –Responsibility of Type Hierarchy and Directors;

Ptolemy II Features (1/2) External Process execution: –Applications and scripted languages; Workflow integration of: –Heterogenous programming languages, and –Remote services: Distributed processing: –Web Services (inc. service aggregation), –Grid computing architectures, Distributed Storage: –Database connectivity; Copernicus: C and Java (inc. Applets) Generation;

Ptolemy II Features (2/2) Under development: –KGrid (P2P): Previously designed to use : Processing with distributed instances, and Current platform: JINI;