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Virtual Data Toolkit

Virtual Data Toolkit. R. Cavanaugh GriPhyN Analysis Workshop Caltech, June, 2003. MCAT; GriPhyN catalogs. MDS. MDS. GDMP. DAGMAN, Condor-G. GSI, CAS. Globus. GRAM. GridFTP; GRAM; SRM. Very Early GriPhyN Data Grid Architecture. Application. = initial solution is operational.

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Virtual Data Toolkit

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  1. Virtual Data Toolkit R. Cavanaugh GriPhyN Analysis Workshop Caltech, June, 2003

  2. MCAT; GriPhyN catalogs MDS MDS GDMP DAGMAN, Condor-G GSI, CAS Globus GRAM GridFTP; GRAM; SRM Very Early GriPhyN Data Grid Architecture Application = initial solution is operational Catalog Services Monitoring Planner Info Services Repl. Mgmt. Executor Policy/Security Reliable Transfer Service Compute Resource Storage Resource Caltech Analysis Workshop

  3. Currently Evolved GriPhyN Picture Caltech Analysis Workshop Picture Taken from Mike Wilde

  4. Current VDT Emphasis • Current reality • Easy grid construction • Strikes a balance between flexibility and “easibility” • purposefully errs (just a little bit) on the side of “easibility” • Long running, high-throughput, file-based computing • Abstract description of complex workflows • Virtual Data Request Planning • Partial provenance tracking of workflows • Future directions (current research) including: • Policy based scheduling • With notions of Quality of Service (advanced reservation of resources, etc) • Dataset based (arbitrary type structures) • Full provenance tracking of workflows • Several others… Caltech Analysis Workshop

  5. Client Globus Toolkit 2 GSI globusrun GridFTP Client CA signing policies for DOE and EDG Condor-G 6.5.1 / DAGMan RLS 1.1.8 Client MonALISA Client (soon) Chimera 1.0.3 SDK Globus ClassAds RLS 1.1.8 Client Netlogger 2.0.13 Server Globus Toolkit 2.2.4 GSI Gatekeeper job-managers and GASS Cache MDS GridFTP Server MyProxy CA signing policies for DOE and EDG EDG Certificate Revocation List Fault Tolerant Shell GLUE Schema mkgridmap Condor 6.5.1 / DAGMan RLS 1.1.8 Server MonALISA Server (soon) Current VDT Flavors Caltech Analysis Workshop

  6. Chimera Virtual Data System • Virtual Data Language • textual • XML • Virtual Data Catalog • MySQL or PostGreSQL based • File based version available Caltech Analysis Workshop

  7. Virtual Data Language file1 TR CMKIN( out a2, in a1 ) { argument file = ${a1}; argument file = ${a2}; } TR CMSIM( out a2, in a1 ) { argument file = ${a1}; argument file = ${a2}; } DV x1->CMKIN( a2=@{out:file2}, a1=@{in:file1}); DV x2->CMSIM( a2=@{out:file3}, a1=@{in:file2}); x1 file2 x2 file3 Caltech Analysis Workshop Picture Taken from Mike Wilde

  8. Virtual Data Request Planning • Abstract Planner • Graph traversal of (virtual) data dependencies • Generates the graph with maximal data dependencies • Somewhat analogous to Build Style • Concrete (Pegasus) Planner • Prunes execution steps for which data already exists (RLS lookup) • Binds all execution steps in the graph to a site • Adds “housekeeping” steps • Create environment, stage-in data, stage-out data, publish data, clean-up environment, etc • Generates a graph with minimal execution steps • Somewhat analogous to Make Style Caltech Analysis Workshop

  9. Chimera Virtual Data System: Mapping Abstract Workflows onto Concrete Environments VDL • Abstract DAGs (virtual workflow) • Resource locations unspecified • File names are logical • Data destinations unspecified • build style • Concrete DAGs (stuff for submission) • Resource locations determined • Physical file names specified • Data delivered to and returned from physical • locations • make style XML VDC XML Abs. Plan Logical DAX RLS C. Plan. DAG Physical DAGMan In general there is a full range of planning steps between abstract workflows and concrete workflows Caltech Analysis Workshop Picture Taken from Mike Wilde

  10. Supercomputing 2002 mass = 200 decay = bb A virtual space of simulated data is generated for future use by scientists... mass = 200 mass = 200 decay = ZZ mass = 200 decay = WW stability = 3 mass = 200 decay = WW mass = 200 decay = WW stability = 1 mass = 200 event = 8 mass = 200 decay = WW stability = 1 event = 8 mass = 200 plot = 1 mass = 200 decay = WW event = 8 mass = 200 decay = WW stability = 1 plot = 1 mass = 200 decay = WW plot = 1 Caltech Analysis Workshop

  11. Supercomputing 2002 Scientists may add new derived data branches... mass = 200 decay = bb mass = 200 mass = 200 decay = ZZ mass = 200 decay = WW stability = 3 mass = 200 decay = WW stability = 1 LowPt = 20 HighPt = 10000 mass = 200 decay = WW mass = 200 decay = WW stability = 1 mass = 200 event = 8 mass = 200 decay = WW stability = 1 event = 8 mass = 200 plot = 1 mass = 200 decay = WW event = 8 mass = 200 decay = WW stability = 1 plot = 1 mass = 200 decay = WW plot = 1 Caltech Analysis Workshop

  12. Generator Formator Simulator Digitiser writeESD writeAOD writeTAG POOL Analysis Scripts Example CMS Data/ Workflow Calib. DB writeESD writeAOD writeTAG Caltech Analysis Workshop

  13. Generator Formator Simulator Digitiser writeESD writeAOD writeTAG MC Production Team POOL (Re)processing Team Physics Groups Analysis Scripts Online Teams Data/workflow is a collaborative endeavour! Calib. DB writeESD writeAOD writeTAG Caltech Analysis Workshop

  14. A “Concurrent Analysis Versioning System:” Complex Data Flow and Data Provenance in HEP Plots, Tables, Fits AOD ESD Raw TAG • Family History of a Data Analysis • Collaborative Analysis Development Environment • "Check-point" a Data Analysis • Analysis Development Environment (like CVS) • Audit a Data Analysis Comparisons Plots, Tables, Fits Real Data Simulated Data Caltech Analysis Workshop

  15. Current Prototype GriPhyN “Architecture” (Picture) Caltech Analysis Workshop Picture Taken from Mike Wilde

  16. Post-talk: My wandering mind…Typical VDT Configuration • Single public head-node (gatekeeper) • VDT-server installed • Many private worker-nodes • Local scheduler software installed • No grid-middleware installed • Shared file system (e.g. NFS) • User area shared between head-node and worker-nodes • One or many raid systems typically shared Caltech Analysis Workshop

  17. Default middleware configurationfrom the Virtual Data Toolkit submit host remote host Chimera gatekeeper gahp_server Local Scheduler (Condor, PBS, etc.) DAGman compute machines Condor-G Caltech Analysis Workshop

  18. EDG Configuration(for comparison) • CPU separate from Storage • CE: single gatekeeper for access to cluster • SE: single gatekeeper for access to storage • Many public worker-nodes (at least NAT) • Local scheduler installed (LSF or PBS) • Each worker-node runs a GridFTP Client • No assumed shared file system • Data access is accomplished via globus-url-copy to local disk on worker-node Caltech Analysis Workshop

  19. Why Care? • Data Analyses would benefit from being fabric independent! • But…the devil is (still) in the details! • Assumptions in job descriptions/requirements currently lead to direct fabric-level consequences and vice versa. • Are existing middleware configurations sufficient for Data Analysis (“scheduled” and “interactive”)? • Really need input from groups like here! • What kind of fabric layer is necessary for “interactive” data analysis using PROOF, JAS? • Does the VDT need multiple configuration flavors? • Production, batch oriented (current default) • Analysis, interactive oriented Caltech Analysis Workshop

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