IFIP Working Group 7.3
E377208
IFIP Working Group 7.3 is an international research group under the International Federation for Information Processing that focuses on performance evaluation of computer and communication systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| IFIP WG 7.3 | 1 |
| IFIP Working Group 7.3 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3665752 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IFIP Working Group 7.3 Context triple: [ACM SIGMETRICS Achievement Award, relatedOrganization, IFIP Working Group 7.3]
-
A.
IFIP Working Group 2.3
IFIP Working Group 2.3 is an international expert group within the International Federation for Information Processing focused on the theory and practice of programming methodology and software development.
-
B.
IFIP Working Group 2.1
IFIP Working Group 2.1 is an international committee of computer scientists under the International Federation for Information Processing, best known for its foundational work on the design and standardization of the ALGOL family of programming languages.
-
C.
IFIP Technical Committee 2
IFIP Technical Committee 2 is the International Federation for Information Processing’s main body focused on the development and advancement of software theory and practice, overseeing related working groups such as IFIP Working Group 2.1.
-
D.
IFIP
IFIP (International Federation for Information Processing) is a global, non-governmental organization that promotes information and communication technologies through international cooperation, standards, and research.
-
E.
ISO Technical Committee 68
ISO Technical Committee 68 is an international standards body responsible for developing and maintaining standards in the field of financial services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IFIP Working Group 7.3 Target entity description: IFIP Working Group 7.3 is an international research group under the International Federation for Information Processing that focuses on performance evaluation of computer and communication systems.
-
A.
IFIP Working Group 2.3
IFIP Working Group 2.3 is an international expert group within the International Federation for Information Processing focused on the theory and practice of programming methodology and software development.
-
B.
IFIP Working Group 2.1
IFIP Working Group 2.1 is an international committee of computer scientists under the International Federation for Information Processing, best known for its foundational work on the design and standardization of the ALGOL family of programming languages.
-
C.
IFIP Technical Committee 2
IFIP Technical Committee 2 is the International Federation for Information Processing’s main body focused on the development and advancement of software theory and practice, overseeing related working groups such as IFIP Working Group 2.1.
-
D.
IFIP
IFIP (International Federation for Information Processing) is a global, non-governmental organization that promotes information and communication technologies through international cooperation, standards, and research.
-
E.
ISO Technical Committee 68
ISO Technical Committee 68 is an international standards body responsible for developing and maintaining standards in the field of financial services.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
IFIP working group
ⓘ
research group ⓘ |
| aimsTo |
disseminate results in performance evaluation of computer and communication systems
ⓘ
foster collaboration among researchers in performance evaluation ⓘ promote research in performance evaluation ⓘ |
| collaboratesWith |
industry partners
ⓘ
research institutes ⓘ universities ⓘ |
| fieldOfWork |
capacity planning
ⓘ
communication systems ⓘ computer networks ⓘ computer systems ⓘ performance evaluation ⓘ performance modeling ⓘ queueing theory ⓘ resource management in computer systems ⓘ stochastic modeling ⓘ |
| focusesOn |
analytical modeling of systems
ⓘ
experimental performance evaluation ⓘ measurement and monitoring of system performance ⓘ methodologies for performance analysis ⓘ performance evaluation of cloud computing systems ⓘ performance evaluation of communication networks ⓘ performance evaluation of computer and communication systems ⓘ performance evaluation of distributed systems ⓘ performance evaluation of parallel and distributed architectures ⓘ performance evaluation tools ⓘ simulation techniques for performance evaluation ⓘ |
| hasMembership |
academic researchers
ⓘ
industry researchers ⓘ practitioners in performance evaluation ⓘ |
| hasScope | international ⓘ |
| language | English ⓘ |
| organizes |
international conferences
ⓘ
seminars ⓘ workshops ⓘ |
| parentOrganization |
International Federation for Information Processing
ⓘ
linked to:
IFIP
|
| partOf | IFIP Technical Committee 7 ⓘ |
| shortName |
IFIP WG 7.3
ⓘ
linked to:
IFIP Working Group 7.3
|
| topicIncludes |
performance evaluation of computer architectures
ⓘ
performance evaluation of distributed applications ⓘ performance evaluation of mobile and wireless networks ⓘ performance evaluation of operating systems ⓘ performance evaluation of real-time systems ⓘ performance evaluation of storage systems ⓘ performance evaluation of web and internet services ⓘ |
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.
Instruction
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.
Input
Subject: IFIP Working Group 7.3 Description of subject: IFIP Working Group 7.3 is an international research group under the International Federation for Information Processing that focuses on performance evaluation of computer and communication systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: IFIP Working Group 7.3