iRODS primer : integrated rule-oriented data system /
Contributor(s): Rajasekar, Arcot.
Material type:
BookSeries: Synthesis lectures on information concepts, retrieval, and services: # 12.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2010Description: 1 electronic text (xiii, 143 p. : ill.) : digital file.ISBN: 9781608453344 (electronic bk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): iRODS | Database management -- Computer programs | Distributed databasesDDC classification: 005.7565 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
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PK Kelkar Library, IIT Kanpur | Available | EBKE235 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
1. Introduction -- 2. Integrated rule-oriented data system -- Data grid overview -- 3. iRODS architecture -- Virtualizations in iRODS -- iRODS components -- 4. Rule-oriented programming -- Session state variables -- Persistent state information variables -- User environment variables -- 5. The iRODS rule system -- The iRODS rule architecture -- Rules -- Rule grammar -- RuleGen language -- iRODS rule engine -- Default iRODS rules -- Session variables available for each rule -- 6. iRODS micro-services -- Micro-service I/O arguments -- Naming conventions -- 7. Example rules -- File manipulation rules -- User interaction rules -- Rule manipulation -- System testing -- Resource selection example -- 8. Extending iRODS -- Changing the IP address -- How to interface a micro-service -- Web services as micro-services -- iRODS FUSE user level file system -- Mounted iRODS collection -- iRODS development information -- Appendix A: iRODS shell commands -- Appendix B: Rulegen grammar -- Appendix C: Exercises -- Author biographies.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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Policy-based data management enables the creation of community-specific collections. Every collection is created for a purpose. The purpose defines the set of properties that will be associated with the collection. The properties are enforced by management policies that control the execution of procedures that are applied whenever data are ingested or accessed. The procedures generate state information that defines the outcome of enforcing the management policy. The state information can be queried to validate assessment criteria and verify that the required collection properties have been conserved. The integrated Rule-Oriented Data System implements the data management framework required to support policy-based data management. Policies are turned into computer actionable Rules. Procedures are composed from a Micro-service-oriented architecture. The result is a highly extensible and tunable system that can enforce management policies, automate administrative tasks, and periodically validate assessment criteria.
Also available in print.
Title from PDF t.p. (viewed on February 15, 2010).
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