1 / 20

SILC: Service Identification in Legacy Codes

N-CSSC. Net-Centric Software & Systems Consortium Planning Meeting. February 20 - 22, 2008. SILC: Service Identification in Legacy Codes. Gopal Gupta Department of Computer Science The University of Texas at Dallas. Problem Description. What?:

caspar
Télécharger la présentation

SILC: Service Identification in Legacy Codes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. N-CSSC Net-Centric Software & Systems Consortium Planning Meeting February 20 - 22, 2008 SILC: Service Identification in Legacy Codes Gopal Gupta Department of Computer Science The University of Texas at Dallas

  2. Problem Description • What?: -- Build complete infra-structure for identification and utilization of (web-) services • Why?: -- Service-oriented computing gaining acceptance -- Industry moving towards Service Oriented Architecture -- Software being made available as services on the Web -- Need infrastructure for (web-)services

  3. Example: CustomerName creates FlightNumber Reservation Flight Reservation Service StartDate ReservationCode StartCity DestinationCity (Web) service • Executable programs accessible (over the web) that effects some action or change in the world (i.e., causes some side-effect)

  4. Infrastructure needed: • Mark-up to describe web-services (currently WSDL) --- should be semantics based (our work: USDL) • Tools to automatically carve out services from existing legacy codes --- Focus of this project • Engines for automated discovery & composition --- lot of work by us and others

  5. Discovery Matching service found S1 Composed into requested service Composition S2 S3 Web Service Discovery & Composition Directory of registered services Web service Request We need semantic description of Web services

  6. Our work: USDL • Currently services described using WSDL -- purely syntactic in nature • USDL: Universal Services-Semantics Descr. Lang. -- semantic descriptions of Web services -- provides a framework to model complex real-world concepts (uses Prop. Logic) -- Uses OWL Wordnet Ontology to provide a common representation of real-world concepts Language used to build ontologies Representation of semantics of terms and their relationships

  7. Part 2: Services Identification in Legacy Codes • Aim: (Semi-)automatically generate USDL description from legacy codes • Analyze a large software system and identify its independent, meaningful service components • Automatically generate USDL description of the identified components • Current approaches: largely manual

  8. Approach • Use combination of: -- data-flow analysis of the code & -- natural language analysis of the documentation to infer service semantics • Focus on SAP Code Bases • Initially focus on simple database type procedures -- Examine data, control flow and documentation to infer what the procedure accomplishes.

  9. Approach • Next, focus on full ABAP to infer service semantics: -- Use knowledge of ABAP features and builtins -- Use knowledge of the object hierarchy -- Analysis of documentation • Intuition: strongly connected components in call graphs and data-flow graphs likely constitute an independent service. • Basis of identification is in -- code’s data-flow analysis, and -- documentation’s natural language analysis

  10. Discovery Matching service found S1 Composed into requested service Composition S2 S3 Part 3: Service Discovery & Composition • Carved out services put in a repository, and discovery/composition used for building applications repository of identified services service request

  11. Discovery and Composition • Discovery Problem: Given a repository of (Web) services, and a query with requirements of the requested service, find a service from the repository that matches these requirements. • Composition Problem: Given a repository of (Web) services, and a query with requirements of the requested service, find a set of services that can be put together in correct order of execution to obtain the desired service. One Problem

  12. Representation of Composite Service • Composite service as a Directed Acyclic graph • Composite service description = Workflow -- Sequential composition -- non-sequential composition -- conditional service composition

  13. Non-Sequential Conditional Composition Example ConfirmHotel ConfirmFlight ReserveFlight YES ReserveCar Visa Approved ? Query Inputs ProcessVisa Query-Outputs ReserveHotel NO CancelFlight CancelHotel SERVICE TO MAKE INTERNATIONAL TRAVEL ARRANGEMENTS

  14. Putting it all together • Given a legacy system; carve services out of it that are placed in a repository • Services are described using USDL • Application/Workflows can be developed automatically via the composition engine • Provides a problem solving framework • Initial workflow can be manually refined

  15. Application: Automatic Workflow Generation in Bioinformatics • Use MyGrid Repository of Bioinformatics & eScience Services Input: Gene Sequence Output: Evolution Tree BLAST CLUSTAL PAUP BlastNexus NexusClustal ClustalNexus NexusPaup PHLYOGENETIC INFERENCE TASK (Sequential Composition)

  16. Application: Automatic Workflow Generation in Bioinformatics Create-MobyData MIPSBlastBetterE13 Extract-BestHit MOBYSHoundGetGenBank-GeneSequence Query Inputs (GeneInput) Extract-Accession QueryOutputs (GeneIdentity,AGI, AccessionNum) PHLYOGENETIC INFERENCE TASK (Non-Sequential Composition)

  17. Application: Automatic Workflow Generation in Bioinformatics MEGA BLAST Format(Aligned SequenceSet) ? PAUP PAUP Query Inputs CLUSTAL BLASTNexus Query-Outputs PHYLIP Nexus CLUSTAL PHYLIP PHLYOGENETIC INFERENCE TASK (Non-Sequential Conditional Composition)

  18. Industry Member Benefits • The company can convert its legacy enterprise code into a collection of services. • Company can unlock the value in its monolithic enterprise code by moving towards SOA thru automated means. • Company can put services on the web; potential source of additional revenue.

  19. Proposed Work and Plan • Deliverables: -- Refined USDL design -- Refined Discovery & composition engines -- SILC tool set • Budget: -- Project scientist/post doc: $75K -- Faculty time: $16K -- Travel: $2K (conference) -- Total cost per year: $93K

  20. PI’s prior commercialization experience • Developed several industrial-strength software (publicly distributed + in active use at UTD) • Two software product development companies spun out of past research • 1st funded by multiple SBIR grants (currently in product marketing stage) • 2nd spun out in Dec ’07 from UTD (Interoperate LLC); - software for interoperability (stealing market share) - Borland a partner for GUI testing area; - software in product marketing stage] • Both product solve problems for which no industry solution exists • multiple earlier attempts have failed

More Related