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Vivek S Kale • Auerbach Publications eBooks
(2017)
This chapter addresses the issues involved in distributed databases, where a database is stored on more than one computer. It provides an introduction to parallel and distributed computing as a foundation for the better understanding of clo...
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DOI: https://doi.org/10.4324/9781315368559-5
Vivek S Kale • CRC Press eBooks
(2018)
The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...
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DOI: https://doi.org/10.1201/9780429453311-9
Dieter Haban, W. Weigel • Hawaii International Conference on System Sciences (HICSS)
(2003)
A solution to the problem of setting breakpoints in distributed systems is described. It is shown what kind of breakpoints are possible, how to detect those breakpoints, and how to halt the system in a consistent state. The communication am...
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DOI: https://doi.org/10.1109/hicss.1988.11802
Michel Raynal, Jean-Michel Hélary • International Linear Collider
(1990)
Part 1 Different forms of synchronization between processes: distributed systems, networks, and networks of processes synchronization. Part 2 The concept of a wave, and synchronization by wave train: wave algorithms example of use - computa...
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Richard Koo, Sam Toueg • eCommons (Cornell University)
(1986)
We consider the problem of bringing a distributed system to a consistent state after transient failures. We address the two components of this problem by describing a distributed algorithm to create consistent checkpoints, as well as a roll...
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DOI: https://doi.org/10.5555/324493.325074
K. Arvind • IEEE Transactions on Parallel and Distributed Systems
(1994)
Presents and analyzes a new probabilistic clock synchronization algorithm that can guarantee a much smaller bound on the clock skew than most existing algorithms. The algorithm is probabilistic in the sense that the bound on the clock skew ...
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DOI: https://doi.org/10.1109/71.282558
Gérard Tel • Cambridge University Press eBooks
(2000)
The earlier parts of this book studied the coordinated behavior that can be achieved in distributed systems where processes are reliable . For several reasons it is attractive to study what coordinated behavior of processes is possible unde...
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Open Access
DOI: https://doi.org/10.1017/cbo9781139168724.014
Mark A. Paskin, Carlos Guestrin • arXiv (Cornell University)
(2012)
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a natural fit for distributed systems, but they must be robust to ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1207.4174
Peter Michael Melliar-Smith, L.E. Moser, Vivek Agrawala • IEEE Transactions on Parallel and Distributed Systems
(1990)
An innovative approach is presented to the design of fault-tolerant distributed systems that avoids the several rounds of message exchange required by current protocols for consensus agreement. The approach is based on broadcast communicati...
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DOI: https://doi.org/10.1109/71.80121
Parameswaran Ramanathan, Kang Geun Shin, Ricky W. Butler • Computer
(1990)
Existing fault-tolerant clock synchronization algorithms are compared and contrasted. These include the following: software synchronization algorithms, such as convergence-averaging, convergence-nonaveraging, and consistency algorithms, as ...
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DOI: https://doi.org/10.1109/2.58235
Wen-Ke Chen, Matti A. Hiltunen, Richard D. Schlichting • Proceedings of the ... International Conference on Distributed Computing Systems/Proceedings of the International Conference on Distributed Computing Systems
(2002)
Adaptive software that can react to changes in the execution environment or user requirements by switching algorithms at run time is powerful yet difficult to implement, especially in distributed systems. This paper describes a software arc...
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DOI: https://doi.org/10.1109/icdsc.2001.918994
Hesham El‐Rewini, Theodore Gyle Lewis, Hesham Ali (1994)
1. Resource Allocation: A Classical Problem. 2. The General Model. 3. Optimal Scheduling Algorithms. 4. The Relationship Between Matching and Two-Processor Scheduling. 5. Static Scheduling Heuristics. 6. SPMD Model. 7. Dynamic Task Allocati...
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Mukesh Singhal • Computer
(1989)
The author describes a series of deadlock detection techniques based on centralized, hierarchical, and distributed control organizations. The point of view is that of practical implications. An up-to-date and comprehensive survey of deadloc...
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DOI: https://doi.org/10.1109/2.43525
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Mohammad Alauthman, Ammar Almomani, Ahmad Al–Qerem, Mohammad Ali Al Khaldy et al. • Advances in information security, privacy, and ethics book series
(2024)
This chapter explores the impact of quantum computing on cybersecurity, comparing classical and quantum techniques. It provides an overview of the current quantum landscape, focusing on the threats posed by quantum algorithms to traditional...
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DOI: https://doi.org/10.4018/979-8-3693-5330-1.ch004
Tim Stevens • Digital War
(2020)
Abstract Cybersecurity protects citizens and society from harm perpetrated through computer networks. Its task is made ever more complex by the diversity of actors—criminals, spies, militaries, hacktivists, firms—operating in global informa...
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DOI: https://doi.org/10.1057/s42984-020-00007-w
Arunesh Sinha, Thanh H. Nguyen, Debarun Kar, Matthew Brown et al. • Journal of Cybersecurity
(2015)
Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or alloca...
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DOI: https://doi.org/10.1093/cybsec/tyv007
Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
(2019)
Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...
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DOI: https://doi.org/10.1002/widm.1306
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making
(2005)
BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...
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DOI: https://doi.org/10.1186/1472-6947-5-30
PMC: 1208893