Statements (92)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Request_for_Comments
|
| gptkbp:abstract |
This document describes XML-RPC, a remote procedure call protocol which uses XML to encode its calls and HTTP as a transport mechanism.
|
| gptkbp:author |
gptkb:Dave_Winer
|
| gptkbp:code |
gptkb:XML
|
| gptkbp:communication |
gptkb:XML-RPC
|
| gptkbp:content_type |
gptkb:Specification
|
| gptkbp:example |
Used in various web services.
|
| gptkbp:has_website |
gptkb:technique
|
| https://www.w3.org/2000/01/rdf-schema#label |
RFC 2849
|
| gptkbp:key |
Simplicity of implementation.
Lightweight. Supports multiple programming languages. Can be used for data backup. Can be used for data retention. Allows for complex data types. Can be integrated with RES Tful services. Can be secured using HTTPS. Can be used for big data applications. Can be used for blockchain applications. Can be used for cloud computing. Can be used for data aggregation. Can be used for data analytics. Can be used for data archiving. Can be used for data cataloging. Can be used for data cleansing. Can be used for data compliance. Can be used for data disposal. Can be used for data enrichment. Can be used for data ethics. Can be used for data federation. Can be used for data governance. Can be used for data integration. Can be used for data interoperability. Can be used for data journalism. Can be used for data lakes. Can be used for data lifecycle management. Can be used for data lineage. Can be used for data migration. Can be used for data mining. Can be used for data orchestration. Can be used for data pipeline. Can be used for data privacy. Can be used for data profiling. Can be used for data quality. Can be used for data recovery. Can be used for data replication. Can be used for data science. Can be used for data security. Can be used for data stewardship. Can be used for data storytelling. Can be used for data streaming. Can be used for data synchronization. Can be used for data transformation. Can be used for data visualization. Can be used for data warehousing. Can be used for data-driven decision making. Can be used for event-driven architecture. Can be used for fault tolerance. Can be used for load balancing. Can be used for machine learning applications. Can be used for real-time applications. Can be used for remote management. Can be used for remote monitoring. Can be used for service discovery. Can be used in Io T applications. Can be used in microservices architecture. Can be used in mobile applications. Can be used over any transport protocol. Easy to debug. Encodes calls in XML. Extensible. Facilitates cross-platform communication. Human-readable format. Language agnostic. Supports batch processing. Supports both synchronous and asynchronous calls. Supports error handling. Supports remote procedure calls. Supports versioning. Uses HTTP as a transport. Widely adopted in web services. Can be used for artificial intelligence applications. |
| gptkbp:language |
gptkb:XML
|
| gptkbp:published_year |
June 2000
|
| gptkbp:related_to |
gptkb:server
|
| gptkbp:status |
Proposed Standard
|
| gptkbp:successor |
RFC 3529
|
| gptkbp:title |
The XML-RPC Specification
|
| gptkbp:transportation |
gptkb:HTTP
|
| gptkbp:uses |
Interoperable communication between different systems.
|
| gptkbp:bfsParent |
gptkb:LDAP_Data_Interchange_Format_(LDIF)
|
| gptkbp:bfsLayer |
8
|