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IEEE Communications Surveys and Tutorials, 2021
Distributed computing has become a common approach for large-scale computation tasks due to benefits such as high reliability, scalability, computation speed, and cost-effectiveness.
Jer Shyuan Ng +7 more
semanticscholar +1 more source
Distributed computing has become a common approach for large-scale computation tasks due to benefits such as high reliability, scalability, computation speed, and cost-effectiveness.
Jer Shyuan Ng +7 more
semanticscholar +1 more source
Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing
Proceedings of the IEEE, 2021This article gives a survey of state-of-the-art methods for processing remotely sensed big data and thoroughly investigates existing parallel implementations on diverse popular high-performance computing platforms.
Zebin Wu +4 more
semanticscholar +1 more source
Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey
IEEE Communications Surveys and Tutorials, 2023As the computing paradigm shifts from cloud computing to end-edge-cloud computing, it also supports artificial intelligence evolving from a centralized manner to a distributed one.
Sijing Duan +6 more
semanticscholar +1 more source
Distributed Computing Column 82 Distributed Computability
Sigact News, 2021Overview. In this edition of the column, we have a very useful and interesting piece from Michel Raynal (IRISA Rennes & Hong Kong Polytechnic), whose goal is to provide a systematic view of the computability results in distributed computing which should ...
Dan Alistarh
semanticscholar +1 more source
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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2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019
This study is based on a concrete problem in a fertilizer factory about the estimation of process parameters: to calculate the mean and standard deviation from weights (sums only)of loads of unequal (known)number of bags (“equal” case being trivial). With many distribution depots., the data for each depot must be collected for processing.
Rui S. Cruz, Miguel Casquilho
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This study is based on a concrete problem in a fertilizer factory about the estimation of process parameters: to calculate the mean and standard deviation from weights (sums only)of loads of unequal (known)number of bags (“equal” case being trivial). With many distribution depots., the data for each depot must be collected for processing.
Rui S. Cruz, Miguel Casquilho
openaire +2 more sources
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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Occupy the cloud: distributed computing for the 99%
ACM Symposium on Cloud Computing, 2017Distributed computing remains inaccessible to a large number of users, in spite of many open source platforms and extensive commercial offerings. While distributed computation frameworks have moved beyond a simple map-reduce model, many users are still ...
Eric Jonas +4 more
semanticscholar +1 more source
Compute First Networking: Distributed Computing meets ICN
Information-Centric Networking, 2019Modern distributed computing frameworks and domain-specific languages provide a convenient and robust way to structure large distributed applications and deploy them on either data center or edge computing environments. The current systems suffer however
M. Król +3 more
semanticscholar +1 more source
2008
Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing.
Ajay D. Kshemkalyani, Mukesh Singhal
+5 more sources
Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing.
Ajay D. Kshemkalyani, Mukesh Singhal
+5 more sources