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RLS and DRS Roadmap Items

RLS and DRS Roadmap Items. Ann Chervenak Robert Schuler USC Information Sciences Institute. Replication Services. Replica Location Service (RLS) Maintains mappings between logical file names and physical locations Associates attributes with mappings Data Replication Service (DRS)

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RLS and DRS Roadmap Items

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  1. RLS and DRS Roadmap Items Ann Chervenak Robert Schuler USC Information Sciences Institute

  2. Replication Services • Replica Location Service (RLS) • Maintains mappings between logical file names and physical locations • Associates attributes with mappings • Data Replication Service (DRS) • Combines RLS cataloguing with data replication operations performed by Reliable File Transfer Service (RFT)

  3. RLS Roadmap:Pluggable RLS Backend • Current RLS backend is some type of relational database • Good performance and scalability • Want to be able to support a backend mechanism for storing name mappings that is optimized to provide higher performance • Requestor: LIGO • Pluggable backend to allow use of a specialized hashing technique

  4. RLS Roadmap (Requested):Improved Support for Bulk Renames • SCEC project adding and updating hundreds of thousands of entries • Would like better support for bulk modification command • E.g., regular expression-based replacement of filename prefixes

  5. DRS Roadmap: Requirements analysis and improvements to DRS in support of LIGO • Design of DRS is based on LIGO's Lightweight Data Replicator service • Explore requirements for integrating DRS into the next generation of LIGO data architecture • Identify and implement enhancements to DRS to support the requirements of high-performance data Grids

  6. DRS Roadmap: Replica Validation Capability • Design and implement replica validation and consistency checking • Requested by LIGO and others • Current DRS supports on-demand replication of data files between sites • Once data has been replicated, there is no guarantee that replica consistency will be maintained • Users need the ability to validate replicated data files and identify files that do not meet a specified equivalence criterion

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