Highly available distributed services and fault-tolerant distributed garbage collection
PODC '86 Proceedings of the fifth annual ACM symposium on Principles of distributed computing
Distributed programming in Argus
Communications of the ACM
Promises: linguistic support for efficient asynchronous procedure calls in distributed systems
PLDI '88 Proceedings of the ACM SIGPLAN 1988 conference on Programming Language design and Implementation
Keynote address - data abstraction and hierarchy
OOPSLA '87 Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum)
Analysis of transaction management performance
SOSP '89 Proceedings of the twelfth ACM symposium on Operating systems principles
Fault-tolerant computing based on Mach
ACM SIGOPS Operating Systems Review
Experience with transactions in QuickSilver
SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
Distributed transactions for reliable systems
Proceedings of the tenth ACM symposium on Operating systems principles
The use of Ada in the design of distributed systems
SIGAda '85 Proceedings of the 1985 annual ACM SIGAda international conference on Ada
Implementing transactions using Ada exceptions: which features are missing?
ACM SIGAda Ada Letters - Exception handling for a 21st century programming language proceedings
Bristlecone: A Language for Robust Software Systems
ECOOP '08 Proceedings of the 22nd European conference on Object-Oriented Programming
Snake: control flow distributed software transactional memory
SSS'11 Proceedings of the 13th international conference on Stabilization, safety, and security of distributed systems
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Argus is an experimental language/system designed to support the construction and execution of distributed programs. Argus is intended to support only a subset of the applications that could benefit from being implemented by a distributed program. Two properties distinguish these applications: they make use of on-line data that must remain consistent in spite of concurrency and hardware failures, and they provide services under real-time constraints that are not severe. Examples of such applications are office automation systems and banking systems. Argus is based on CLU. It is largely an extension of CLU, but there are a number of differences. Like CLU, Argus provides procedures for procedural abstraction, iterators for control abstraction, and clusters for data abstraction. In addition, Argus provides guardians that encapsulate and control access to one or more resources. Argus also provides equate modules as a convenient way to refer to constants. As in CLU, modules may be parameterized, so that a single module can define a class of related abstractions.