iRODS primer 2 : : integrated rule-oriented data system /
By: Xu, Hao (Computer scientist) [author.].
Material type: BookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on information concepts, retrieval, and services: # 57.Publisher: [San Rafael, California] : Morgan & Claypool, 2017.Description: 1 PDF (xv, 115pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781627056373.Subject(s): Database management -- Computer programs | iRODS (Computer system) | microservices | policies | assessment criteria | metadata catalog | policy-based data management | rule engine | iRODS | preservation environment | digital library | data grid | data life cycleDDC 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 | PK Kelkar Library, IIT Kanpur | Available | EBKE753 |
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
Part of: Synthesis digital library of engineering and computer science.
A. Exercises -- Short questions -- Essay questions -- Authors' biographies.
6. iRODS microservices -- 6.1 Microservice input/output arguments -- 6.2 About microservices and microservice plugins -- 6.3 Examples -- 6.3.1 The plugin factory -- 6.3.2 The microservice definition -- 6.3.3 Building and installing the example code -- 6.3.4 Testing the microservice --
5. The iRODS rule system -- 5.1 The iRODS rule architecture -- 5.2 Default iRODS rules -- 5.3 Session variables available for default iRODS rules -- 5.4 Dynamic policy enforcement points -- 5.4.1 Flow control -- 5.4.2 Parameter serialization -- 5.4.3 Dynamic pep signatures -- 5.5 Pluggable rule engine architecture -- 5.5.1 Rule engine plugin framework -- 5.5.2 Configuration (server_config.json) -- 5.6 The iRODS rule language -- 5.6.1 Comments -- 5.6.2 Directives -- 5.6.3 Boolean and numeric -- 5.6.4 Strings -- 5.6.5 Dot expression -- 5.6.6 Constant -- 5.6.7 Function -- 5.6.8 Rule -- 5.6.9 Data types and pattern matching -- 5.6.10 Control structures -- 5.6.11 Recovery chain for control structures -- 5.6.12 Types -- 5.6.13 Language integrated general query -- 5.6.14 Path literals -- 5.7 Delay execution -- 5.7.1 Syntax -- 5.7.2 Examples -- 5.8 Remote execution -- 5.8.1 Syntax -- 5.8.2 Examples --
4. Rule-oriented programming -- 4.1 Session state variables -- 4.2 Persistent state information variables --
3. iRODS architecture -- 3.1 Virtualization in iRODS -- 3.2 iRODS components -- 3.3 User environment variables -- 3.4 Configuration files -- 3.4.1 /odbc.ini -- 3.4.2 /.irods/.irodsA -- 3.4.3 /etc/irods/server_config.json -- 3.4.4 /.irods/irods_environment.json -- 3.4.5 Checksum configuration -- 3.4.6 Special characters -- 3.5 Plugin interfaces -- 3.5.1 Pluggable microservices -- 3.5.2 Composable resources -- 3.5.3 Pluggable authentication -- 3.5.4 Pluggable network -- 3.5.5 Pluggable database -- 3.5.6 Pluggable RPC API -- 3.5.7 Pluggable rule engine -- 3.6 Example plugins -- 3.6.1 Composable resources -- 3.6.2 Pluggable authentication --
1. Introduction --
2. Integrated rule-oriented data system -- 2.1 Data grid overview --
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Google book search
Google scholar
INSPEC
Compendex
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 microservice-oriented architecture. The result is a highly extensible and tunable system that can enforce management policies, automate administrative tasks, and periodically validate assessment criteria. iRODS 4.0+ represents a major effort to analyze, harden, and package iRODS for sustainability, modularization, security, and testability. This has led to a fairly significant refactorization of much of the underlying codebase. iRODS has been modularized whereby existing iRODS 3.x functionality has been replaced and provided by small, interoperable plugins. The core is designed to be as immutable as possible and serve as a bus for handling the internal logic of the business of iRODS. Seven major interfaces have been exposed by the core and allow extensibility and separation of functionality into plugins.
Also available in print.
Title from PDF title page (viewed on April 18, 2017).
There are no comments for this item.