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Recoverable Mutual Exclusion

BuchKartoniert, Paperback
126 Seiten
Englisch
Springererschienen am19.04.20242023
This book discusses the recent research work on designing efficient fault-tolerant synchronization mechanisms for concurrent processes using the relatively new persistent memory technology that combines the low latency benefits of DRAM with the persistence of magnetic disks.mehr
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EUR42,79
BuchKartoniert, Paperback
EUR42,79
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EUR42,79

Produkt

KlappentextThis book discusses the recent research work on designing efficient fault-tolerant synchronization mechanisms for concurrent processes using the relatively new persistent memory technology that combines the low latency benefits of DRAM with the persistence of magnetic disks.
Details
ISBN/GTIN978-3-031-20004-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum19.04.2024
Auflage2023
ReiheSynthesis Lectures on Distributed Computing Theory
Seiten126 Seiten
SpracheEnglisch
Gewicht255 g
IllustrationenXV, 126 p. 60 illus., 16 illus. in color.
Artikel-Nr.55993594

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Persistent Memory.- Prior Work.- Problem Formulation.- Load and Store based Algorithms.- Sublogarithmic Algorithms.- Adaptive Algorithms.- Constant Amortized Complexity Algorithm.- Abortable Recoverable Mutual Exclusion.- Tight Lower Bound.- System Wide Failures.-Discussion and Open Problems.mehr

Schlagworte

Autor

Sahil Dhoked, Ph.D., is a Research Scientist at Meta Platforms. He received his Ph.D. in computer science from the University of Texas at Dallas in 2022 under the supervision of Dr. Neeraj Mittal. He received his B.Tech. degree in computer science and engineering from the Indian Institute of Technology, Indore in 2013. He previously worked as a software development engineer at Microsoft.

Wojciech Golab, Ph.D., is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He received his Ph.D. in computer science from the University of Toronto in 2010. In the same year, he completed a post-doctoral fellowship at the University of Calgary and later joined Hewlett-Packard Labs in Palo Alto as a Research Scientist. He is broadly interested in concurrency and fault tolerance in distributed systems, with a special focus on bridging the gap between theory and practice.

Neeraj Mittal, Ph.D., is a Pofessor in theDepartment of Computer Science at the University of Texas at Dallas and Co-director of the Advanced Networking and Dependable System Laboratory (ANDES). He received his B.Tech. degree in computer science and engineering from the Indian Institute of Technology, Delhi in 1995 and the M.S. and Ph.D. degrees in computer science from the University of Texas at Austin in 1997 and 2002, respectively. His research interests include multi-core computing, distributed computing, fault tolerant computing, and distributed algorithms for wireless networking.
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