Idit Keidar · ACM SIGACT News · 2010
column Share on Distributed computing column 36 distributed computing: 2009 edition Author: Idit Keidar Technion, Haifa, Israel Technion, Haifa, IsraelView Profile Authors Info & Claims ACM SIGACT NewsVolume 40Issue 4December 2009 pp 64–67https://doi.org/10.1145/1711475.1711489Published:25 January 2010Publication History 1citation111DownloadsMetricsTotal Citations1Total Downloads111Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Cited by 1
Yehuda Afek · Lecture notes in computer science · 2013
Cited by 6
Ajay D. Kshemkalyani, Mukesh Singhal · Cambridge University Press eBooks · 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. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.
Cited by 324
Mangesh · Zenodo (CERN European Organization for Nuclear Research) · 2020
Srinivas University BCA 5th Semester Study material 2019
Cited by 0Open access
Anup Rao, Amir Yehudayoff · Cambridge University Press eBooks · 2020
Introduction of one model in distributed computing. Proving lower bounds using communication complexity.
Cited by 1
Purdue E-pubs, Rajesh Subramanyan, José Miguel- Alonso et al. · 2000
Cited by 0
Van Renesse, R · CERN Document Server (European Organization for Nuclear Research) · 1991
This series will start with an introduction to distributed computing systems. Distributed computing paradigms will be presented followed by a discussion on how several important contemporary distributed operating systems use these paradigms. Topics will include processing paradigms, storage paradigms, scalability and robustness. Throughout the course everything will be illustrated by modern distributed systems notably the Amoeba distributed operating system of the Free University in Amsterdam and the Plan 9 operating system of AT&T Bell Laboratories. Plan 9 is partly designed and implemented by Ken Thompson, the main person behind the successful UNIX operating system.
Cited by 0
WSPC/HEP eBooks · 2023
Cited by 1
Ramin Karim, Diego Galar, Uday Kumar · 2023
Cited by 0
Welch, Jennifer · Lecture notes in computer science · 2001
Cited by 10
Lecture notes in computer science · 2007
Cited by 12
John A. Stankovic · 1992
Cited by 0
Jane N. Ryland · New Directions for Higher Education · 1988
Cited by 32
Lecture notes in computer science · 2009
Cited by 10
Sunita Mahajan, Seema Shah · 2010
Distributed Computing is designed to serve as a textbook for undergraduate engineering students of Computer Science and postgraduate students of Computer Applications. The book seeks to impart a clear understanding of the computing aspects of Distributed Systems. Beginning with an overview of the fundamental concepts, the book moves into detailed descriptions of Network, Inter-Process and Remote Communication and Synchronization of distributed systems. Key facets of Distributed Computing like Distributed System Management, Shared Memory, and File Systems have been dealt with individually. Special attention is paid to important topics like Real-Time Distributed Systems, Distributed Databases, and security issues. Keeping pace with the rapid development taking place in this field, the book also discusses some recent advances in Grid Computing, Ubiquitous Computing and .NET. Written in simple and concise language, the book provides numerous end chapter review questions and multiple choice questions. Several case studies have been provided in relevant chapters for students to understand real-world applications. The book may also serve as a useful reference for courses on Distributed Systems, Distributed Operating Systems, and Distributed Databases.
Cited by 0
Fabian Kühn · Lecture notes in computer science · 2014
Cited by 9
M. Delfino · 2020
Distributed computing is an established discipline in computer science and engineering. It has evolved over the past 40 years to be one of the most important methodologies for implementing the data processing services needed by almost every activity in society. Distributed computing is still evolving rather rapidly, with major innovations introduced every few years. The aim of this chapter is to introduce the reader to the basic concepts of distributed computing in the context of particle physics, allowing a better understanding of what is behind the scenes when using distributed systems, and providing starting points in order to seek further information on the subject.
Cited by 8Open access
Zhaoquan Gu, Yuexuan Wang, Qiang-Sheng Hua et al. · 2017
Cited by 6
2010
Cited by 4
Jinmin Yang · 2025
Cited by 0