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Computability in distributed computing
ACM SIGACT News, 2012What can and cannot be computed in a distributed system is a complex function of the system's communication model, timing model, and failure model. This tutorial surveys some important results about computability in the canonical distributed system model, where processes execute asynchronously, they communicate by reading and writing shared memory, and
Maurice Herlihy +2 more
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Locality in distributed computations
Proceedings of the 1988 ACM sixteenth annual conference on Computer science - CSC '88, 1988The defining characteristic of a distributed system is the (temporal) distance between components; communication time is non-trivial compared to processing time. Because of this, the design of efficient distributed computations involves trade-offs between maximizing the amount of parallelism and minimizing communication costs. We argue that any sort of
David K. Garnick, A. Toni Cohen
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ACM SIGACT News, 2001
The Distributed Computing Column covers the theory of systems that are composed of a number of interacting computing elements. These include problems of communication and networking, databases, distributed shared memory, multiprocessor architectures, operating systems, verification, internet, and the web.
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The Distributed Computing Column covers the theory of systems that are composed of a number of interacting computing elements. These include problems of communication and networking, databases, distributed shared memory, multiprocessor architectures, operating systems, verification, internet, and the web.
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Proceedings of the 1992 ACM annual conference on Communications - CSC '92, 1992
A distributed computing system consists of a collection autonomous computers connected by a communication network. The motivation for such a distributed system includes resource and load sharing, reduced costs in computation and communication, higher performance and throughput, and increased reliability and availability.
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A distributed computing system consists of a collection autonomous computers connected by a communication network. The motivation for such a distributed system includes resource and load sharing, reduced costs in computation and communication, higher performance and throughput, and increased reliability and availability.
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Uncheatable Distributed Computations
2001Computationally expensive tasks that can be parallelized are most efficiently completed by distributing the computation among a large number of processors. The growth of the Internet has made it possible to invite the participation of just about any computer in such distributed computations.
Philippe Golle, Ilya Mironov
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Distributed computing column 47
ACM SIGACT News, 2012What can and cannot be computed in a distributed system is a complex function of the system’s communication model, timing model, and failure model. This tutorial surveys some important results about computability in the canonical distributed system model, where processes execute asynchronously, they communicate by reading and writing shared memory, and
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On slicing a distributed computation
Proceedings 21st International Conference on Distributed Computing Systems, 2002We introduce the notion of a slice of a distributed computation. A slice of a distributed computation with respect to a global predicate is a computation which captures those and only those consistent cuts of the original computation which satisfy the global predicate.
Vijay K. Garg, Neeraj Mittal
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Computing with distributed chaos
Physical Review E, 1999We describe and discuss in detail some recent results by Sinha and Ditto [Phys. Rev. Lett. 81, 2156 (1998)] demonstrating the capacity of a lattice of threshold coupled chaotic maps to perform computations. Such systems are shown to emulate logic gates, encode numbers, and perform specific arithmetic operations, such as addition and multiplication, as ...
S, Sinha, W L, Ditto
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Wireless distributed computing
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 2011It 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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Primitives for distributed computing
Proceedings of the seventh symposium on Operating systems principles - SOSP '79, 1979Distributed 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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