Yet Another Resource Negotiator
E185671
Yet Another Resource Negotiator (YARN) is Hadoop’s cluster resource management and job scheduling framework that enables efficient execution of distributed data processing applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yet Another Resource Negotiator canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1647829 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Yet Another Resource Negotiator Context triple: [Hadoop, hasComponent, Yet Another Resource Negotiator]
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A.
Real-time Transport Control Protocol
Real-time Transport Control Protocol (RTCP) is a companion protocol to RTP that provides out-of-band control, quality-of-service feedback, and synchronization for real-time audio and video streams over IP networks.
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B.
RFC 3710
RFC 3710 is an IETF document that defines the purpose, structure, and procedures of the Internet Engineering Steering Group (IESG) within the Internet standards process.
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C.
RFC 4380
RFC 4380 is an IETF standard that specifies the Teredo protocol for providing IPv6 connectivity to nodes located behind IPv4 network address translators (NATs).
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D.
RFC 2228
RFC 2228 is an Internet standard that extends the File Transfer Protocol (FTP) with security mechanisms such as authentication, integrity, and confidentiality.
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E.
RFC 3711
RFC 3711 is the IETF specification that defines the Secure Real-time Transport Protocol (SRTP), a framework for providing encryption, message authentication, and integrity for real-time audio and video over IP networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Yet Another Resource Negotiator Target entity description: Yet Another Resource Negotiator (YARN) is Hadoop’s cluster resource management and job scheduling framework that enables efficient execution of distributed data processing applications.
-
A.
Real-time Transport Control Protocol
Real-time Transport Control Protocol (RTCP) is a companion protocol to RTP that provides out-of-band control, quality-of-service feedback, and synchronization for real-time audio and video streams over IP networks.
-
B.
RFC 3710
RFC 3710 is an IETF document that defines the purpose, structure, and procedures of the Internet Engineering Steering Group (IESG) within the Internet standards process.
-
C.
RFC 4380
RFC 4380 is an IETF standard that specifies the Teredo protocol for providing IPv6 connectivity to nodes located behind IPv4 network address translators (NATs).
-
D.
RFC 2228
RFC 2228 is an Internet standard that extends the File Transfer Protocol (FTP) with security mechanisms such as authentication, integrity, and confidentiality.
-
E.
RFC 3711
RFC 3711 is the IETF specification that defines the Secure Real-time Transport Protocol (SRTP), a framework for providing encryption, message authentication, and integrity for real-time audio and video over IP networks.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
cluster resource management framework
ⓘ
component of Apache Hadoop ⓘ job scheduling framework ⓘ |
| abbreviation | YARN ⓘ |
| allocates | compute resources to applications ⓘ |
| architectureComponent |
ApplicationMaster
ⓘ
Container ⓘ NodeManager ⓘ ResourceManager ⓘ |
| category |
big data infrastructure component
ⓘ
cluster management software ⓘ |
| designedFor | large-scale data processing clusters ⓘ |
| developedAsPartOf |
Hadoop
ⓘ
surface form:
Apache Hadoop project
|
| enables |
decoupling of resource management from data processing model
ⓘ
running diverse processing engines on Hadoop ⓘ |
| fullName | Yet Another Resource Negotiator self-linksurface differs ⓘ |
| goal |
enable scalability of Hadoop clusters
ⓘ
improve cluster utilization ⓘ support multiple concurrent applications ⓘ |
| introducedIn |
Hadoop
ⓘ
surface form:
Hadoop 2.x
|
| license | Apache License 2.0 ⓘ |
| manages | cluster resources ⓘ |
| origin | Apache Software Foundation ⓘ |
| partOf |
Hadoop
ⓘ
surface form:
Apache Hadoop ecosystem
|
| programmingLanguage | Java ⓘ |
| provides |
cluster resource management
ⓘ
job scheduling ⓘ |
| replaces |
YARN
ⓘ
surface form:
Hadoop MapReduce v1 JobTracker
|
| responsibleFor |
monitoring node health
ⓘ
scheduling application containers ⓘ tracking application status ⓘ |
| supports |
distributed data processing applications
ⓘ
high availability for ResourceManager ⓘ multi-tenant cluster usage ⓘ multiple data processing frameworks ⓘ |
| supportsFeature |
capacity scheduler
ⓘ
fair scheduler ⓘ resource isolation via containers ⓘ resource queues ⓘ |
| supportsFramework |
Apache Spark
ⓘ
Apache Tez ⓘ MapReduce ⓘ |
| supportsResourceType |
CPU
ⓘ
custom resources ⓘ memory ⓘ |
| usedIn |
cloud-based Hadoop deployments
ⓘ
on-premises Hadoop clusters ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Yet Another Resource Negotiator Description of subject: Yet Another Resource Negotiator (YARN) is Hadoop’s cluster resource management and job scheduling framework that enables efficient execution of distributed data processing applications.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.