Making reliable distributed systems in the presence of software errors
E1282531
UNEXPLORED
"Making reliable distributed systems in the presence of software errors" is a foundational PhD thesis by Joe Armstrong that presents the principles behind Erlang and its approach to building fault-tolerant distributed systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Making reliable distributed systems in the presence of software errors canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T17677583 — 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: Making reliable distributed systems in the presence of software errors Context triple: [Joe Armstrong, hasAcademicPublication, Making reliable distributed systems in the presence of software errors]
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A.
Elements of Distributed Algorithms
Elements of Distributed Algorithms is a foundational textbook that systematically presents the principles, models, and key techniques used in the design and analysis of distributed algorithms.
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B.
"Guardians and Actions: Linguistic Support for Robust, Distributed Programs"
"Guardians and Actions: Linguistic Support for Robust, Distributed Programs" is a foundational research paper that introduces language constructs for building fault-tolerant, distributed systems, notably influencing the design of the Argus programming language.
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C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
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D.
Byzantine fault tolerance
Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
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E.
Practical Byzantine Fault Tolerance
Practical Byzantine Fault Tolerance is a consensus algorithm for distributed systems that efficiently tolerates Byzantine (arbitrary) faults, enabling reliable operation even when some nodes behave maliciously or unpredictably.
- 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: Making reliable distributed systems in the presence of software errors Target entity description: "Making reliable distributed systems in the presence of software errors" is a foundational PhD thesis by Joe Armstrong that presents the principles behind Erlang and its approach to building fault-tolerant distributed systems.
-
A.
Elements of Distributed Algorithms
Elements of Distributed Algorithms is a foundational textbook that systematically presents the principles, models, and key techniques used in the design and analysis of distributed algorithms.
-
B.
"Guardians and Actions: Linguistic Support for Robust, Distributed Programs"
"Guardians and Actions: Linguistic Support for Robust, Distributed Programs" is a foundational research paper that introduces language constructs for building fault-tolerant, distributed systems, notably influencing the design of the Argus programming language.
-
C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
-
D.
Byzantine fault tolerance
Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
-
E.
Practical Byzantine Fault Tolerance
Practical Byzantine Fault Tolerance is a consensus algorithm for distributed systems that efficiently tolerates Byzantine (arbitrary) faults, enabling reliable operation even when some nodes behave maliciously or unpredictably.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Joe Armstrong
→
hasAcademicPublication
→
Making reliable distributed systems in the presence of software errors
ⓘ
Joe Armstrong
→
thesisTitle
→
Making reliable distributed systems in the presence of software errors
ⓘ