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Upcoming Enhancements to the HST Archive

Upcoming Enhancements to the HST Archive. Mark Kyprianou Operations and Engineering Division Data System Branch. Enhancements in DMS. JWST requirements Define a better archive HST Mission Office Identify weaknesses/areas that could be improved

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Upcoming Enhancements to the HST Archive

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  1. Upcoming Enhancements to the HST Archive Mark Kyprianou Operations and Engineering Division Data System Branch

  2. Enhancements in DMS • JWST requirements • Define a better archive • HST Mission Office • Identify weaknesses/areas that could be improved • Allocate resources to implement enhancements in a few areas • A “win” for all missions • Common code to support • Common system to operate • Better services to our customers • Target areas for HST enhancements: • Workflow Manager • Reprocessing • Online Cache • Distribution/UI HST DMS Enhancements

  3. Workflow Manager

  4. HST Workflow Manager – today it’s OPUS • OPUS Workflow manager in use since 1995 • All current HST level-0 -> level-2 data processing is performed using OPUS pipelines. • Why change? There are significant risks with using OPUS throughout the remaining HST lifetime • Reliability – OPUS GUIs (OMG, PMG) are “fragile” • Susceptible to failure with additional network security • Use Java “thick-client” application technology (NOT web-friendly) • Have not been rebuilt for Windows platform in many years

  5. HST Workflow Manager - Alternatives • A JWST Workflow Manager trade study has just been completed and recommends a new workflow technology for JWST: Condor /Open Workflow Layer (OWL) • Transition HST from OPUS to Condor/OWL? • Provides a “technology refresh” which should serve HST throughout its remaining lifetime • Condor has a huge world-wide user base and undergoes continuous development and improvement • Allows STScI pipeline operations team to focus on a single workflow manager system, rather than learn to operate more than one • Provides significant “upside” with flexibility for taking advantage of distributed computing resources, both on-site and off • Workflow Framework Trade Study (FOO - Future of OPUS)  https://trac.stsci.edu/trac/DMS/wiki/FutureOfOpus

  6. Reprocessing

  7. Rationale for Reprocessing • Calibration improves over time • Science instrument performance better understood • Reflected in improved calibration algorithms and reference files • Data better understood over time • Additional keywords and improved data formats • Pipeline software error corrections HST DMS Enhancements

  8. On the Fly Recalibration: OTFR • Advantages • The user gets the benefit of the very latest data processing and calibration enhancements at the time of their archive retrieval. • Less archive storage since calibrated data products not on disk • Unpopular data do not get reprocessed • Disadvantages • Delay in retrieval while reprocessing, could be substantial if there is a large retrieval queue • No direct access to data • All data not accessible through VO protocols • Popular data get identically reprocessed many times HST DMS Enhancements

  9. Reprocess on Change • Advantages • Rapid data retrieval through direct synchronous access or batch request • Data accessible through VO protocols • Allows for data mining • Disadvantages • Requires development of more complex reprocessing software system • Logic needed for when to initiate reprocessing and where to start in the pipeline HST DMS Enhancements

  10. Reprocessing Concept (1/3) • The Reprocessing System will automatically recalibrate affected observations when updates to calibration reference files or the calibration software are approved and released. • Other improvements to the quality of data products may trigger reprocessing. • The Reprocessing System will monitor changes in calibration reference files and software. • The Calibration Reference Data System will track changes to the calibration reference files HST DMS Enhancements

  11. Reprocessing Concept (2/3) • The latest version of all data are stored in the archive. • Reprocessed data products replace their previous version in the primary archive. • If the Archive User Interface indicates that the data being requested do not have best calibration, archive users will be notified prior to retrieval. • Archive users accept existing calibration or wait until calibration is updated. HST DMS Enhancements

  12. Reprocessing Concept (3/3) • The order of data processing will take into account items such as: • Data designated to be processed immediately. • Processing on initial receipt of data from the telescope. • Reprocessing of an observation less than one year from execution requested by an archive user. • Reprocessing of an observation more than one year from execution requested by an archive user. • Reprocessing of data less than one year from execution. • Reprocessing of data more than one year from execution. HST DMS Enhancements

  13. Archive User Decision Tree for Direct Download User waits HST DMS Enhancements

  14. Data Storage:Online Cache

  15. Storage Broker Concept • Optimizes management of large scale distributed data storage resources • Provides a uniform interface to heterogeneous data storage resources over a network • ingest (adding files to the system) • accessing files • security • Uses common metadata for file storage and location • Utilizes a database schema for mapping of the logical file layer to the physical disk locations on storage media. • Provides independence from the hardware platforms (mainframes, intermediate systems, servers, PCs). • Provides transparent use of public network protocols (SFTP, HTTP, etc.) • Simplifies file exchange between applications and mirror sites HST DMS Enhancements

  16. Data Storage Key Features • The Storage Broker (SB) supports: • Internal archive RAID based disk storage for long term data preservation (Primary Data Store). • An online file storage of files for fast, immediate access. • An offline, offsite data backup of the file storage (Safestore). • The SB provides online access to the latest version of the processed data. HST DMS Enhancements

  17. Distribution and Archive User Interface

  18. Data Distribution Concept • There are two complementary concepts for data distribution. • Batch distribution • Direct distribution • Batch distribution • XML request generated by Archive User Interface and passed to Distribution. • No further user interaction is needed once the request is submitted. • Direct distribution • User has direct access to files through URL. • Supports VO services. • Necessary for data mining. HST DMS Enhancements

  19. Archive User Interface Concept • The Archive Users Interface (AUI) will provide means to search for data including Program/PI searches; spatial, time and wavelength searches. • After users identify data of interest the AUI will provide an option of download method and prompt for authentication / authorization information for use with proprietary data. • AUI will provide the status of the requested data (e.g. best calibration available or data are in reprocessing queue.) and permit user to select if they want to wait for new data. • Distribution shall record metrics for user transactions, such as IP address, user ID, files selected, distribution mode and format, and download size and time. HST DMS Enhancements

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