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Abstract: "A termination detector is a distributed algorithm that, when superimposed on a distributed system of n processes, is able to determine whether the computation of the underlying system has terminated. Fault tolerance is one of the most desirable properties of distributed systems. While some problems are notoriously known to be unsolvable in the presence of faulty processes, many distributed algorithms are able to tolerate failures of processes. When a termination detector is applied to a fault-tolerant underlying system, it is desirable that the detector itself be fault-tolerant. In most existing distributed systems, processes certainly may fail, but only occasionally or even rarely. Thus, a desirable fault-tolerant algorithm is one that can tolerate any number of faults, that runs as efficiently as the best available non-fault-tolerant algorithm if no process fails during the computation, and that incurs only a reasonable amount of extra cost for each process failure that actually occurs. In this paper, we present a fault-tolerant termination detection algorithm with these nice properties. The algorithm is much more efficient than existing (fault-tolerant) ones."
This book constitutes the refereed proceedings of the 10th International Conference on Principles of Distributed Systems, OPODIS 2006, held at Bordeaux, France, in December 2006. The 28 revised full papers presented together with 2 invited talks were carefully reviewed and selected from more than 230 submissions. The papers address all current issues in theory, specification, design and implementation of distributed and embedded systems.
This book constitutes the refereed proceedings of the 19th International Conference on Distributed Computing, DISC 2005, held in Cracow, Poland, in September 2005. The 32 revised full papers selected from 162 submissions are presented together with 14 brief announcements of ongoing works chosen from 30 submissions; all of them were carefully selected for inclusion in the book. The entire scope of current issues in distributed computing is addressed, ranging from foundational and theoretical topics to algorithms and systems issues and to applications in various fields.
This book constitutes the revised selected papers of the 9th International Conference on Networked Systems, NETYS 2021, held virtually in May 2021.The 15 revised full papers and 2 short papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following thematic blocks: distributed systems, blockchain, and verification.
This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019. The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC.
This volume constitutes the refereed proceedings of the 13th International Conference on Parallel Computing. The papers are organized into topical sections covering support tools and environments, performance prediction and evaluation, scheduling and load balancing, compilers for high performance, parallel and distributed databases, grid and cluster computing, peer-to-peer computing, distributed systems and algorithms, and more.
This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting. This book is meant for the senior level undergraduate and postgraduate students of computer science and engineering, and information technology. The book is also useful for the postgraduate students of computer science and computer application.
This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018. The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.