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Primitives for distributed computing

Proceedings of the seventh symposium on Operating systems principles - SOSP '79, 1979
Distributed programs that run on nodes of a network are now technologically feasible, and are well-suited to the needs of organizations. However, our knowledge about how to construct such programs is limited. This paper discusses primitives that support the construction of distributed programs.
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Recursion in Distributed Computing

2010
The benefits of developing algorithms via recursion are well known. However, little use of recursion has been done in distributed algorithms, in spite of the fact that recursive structuring principles for distributed systems have been advocated since the beginning of the field.
Eli Gafni, Sergio Rajsbaum
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Distributed computation of the mode

Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing, 2008
This paper studies the problem of computing the most frequent element (the mode) by means of a distributed algorithm where the elements are located at the nodes of a network. Let k denote the number of distinct elements and further let mi be the number of occurrences of the element ei in the ordered list of occurrences m1m2≥ ... ≥ mk.
Fabian Kuhn   +2 more
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Dissecting Distributed Computations

2003
Beginning with the earliest assembly languages, programming even simple centralised and sequential applications was very cumbersome. Major advances in computing came with the adoption of programming languages that promoted the use of machine independent data abstractions like sets, arrays, and records, as well as control abstractions like while, ifand ...
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A note on distributed computing

1997
We argue that objects that interact in a distributed system need to be dealt with in ways that are intrinsically different from objects that interact in a single address space. These differences are required because distributed systems require that the programmer be aware of latency, have a different model of memory access, and take into account issues
Jim Waldo   +3 more
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Distributed Symbolic Computations

Sixth International Symposium on Parallel and Distributed Computing (ISPDC'07), 2007
Symbolic computing is one of fastest growing areas of scientific computing. An overview of the state-of-the-art in symbolic computations on distributed architectures, in particular Web and Grid architectures, is presented. The background information, including typical application areas, is followed by a list of past and on-going projects involving ...
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Supercomputers and distributed computing

Proceedings of the 1985 ACM thirteenth annual conference on Computer Science - CSC '85, 1985
Multiprocessor supercomputers and distributed systems share many common properties in a logical sense. The physical implementation of these systems may be quite different, particularly with respect to timing considerations. Some of the recent work on supercomputer hardware and software may be of use in the distributed processing community.
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The conundrum of distributed computing

23rd International Conference on Distributed Computing Systems, 2003. Proceedings., 2004
We have been engineering distributed computing architectures according to roughly the same formulas for quite a number of years; yet each time, the end result has had greater complexity. Modern distributed computing architectures have an enormous number of protocols, layers, configuration parameters, APIs, etc.
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Distributed computing with privacy

2012 IEEE International Symposium on Information Theory Proceedings, 2012
A set of terminals that observe correlated data seek to compute functions of the data using interactive public communication. At the same time it is required that this communication, observed by an eavesdropper, does not reveal the value of a private function of the data.
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Wireless distributed computing

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 2011
It is well recognized that context plays a significant role in all human endeavors. All decisions are based on information which has to be interpreted in context. By making the information systems context-aware we can have systems that significantly improve the human capabilities to handle situations.
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