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Academic Articles & Research Papers
Showing 20 of 280 academic articles
Maysam Yabandeh, Nikola Knežević, Dejan Kostić, Viktor Kunčak • Infoscience (Ecole Polytechnique Fédérale de Lausanne)
(2009)
We propose a new approach for developing and deploying distributed systems, in which nodes predict distributed consequences of their actions, and use this information to detect and avoid errors. Each node continuously runs a state explorati...
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Markus Fidler, Jens Burkhard Schmitt • ACM SIGMETRICS Performance Evaluation Review
(2006)
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide end-to-end quality of service guarantees for integrated and di...
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DOI: https://doi.org/10.1145/1140103.1140310
Akinori Yonezawa, Carl E. Hewitt (1977)
Distributed systems are multi-processor information processing systems which do not rely on the central shared memory for communication. The importance of distributed systems has been growing with the advent of "computer...
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Ruijie Meng, George Pîrlea, Abhik Roychoudhury, Ilya Sergey • ACM SIGSAC Conference on Computer and Communications Security (CCS)
(2023)
Grey-box fuzzing is the lightweight approach of choice for finding bugs in sequential programs. It provides a balance between efficiency and effectiveness by conducting a biased random search over the domain of program inputs using a feedba...
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DOI: https://doi.org/10.1145/3576915.3623097
Gianpaolo Cugola, Elisabetta Di Nitto, Alfonso Fuggetta (1998)
The development of complex distributed systems demands for the creation of suitable architectural styles (or paradigms) and related run-time infrastructures. An emerging style that is receiving increasing attention is based on the notion of...
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DOI: https://doi.org/10.5555/302163.302189
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
Ulrich Matter • Chapman & Hall/CRC eBooks
(2023)
When we connect several computers in a network to jointly process large amounts of data, such a computing system is commonly referred to as a “distributed system”. From a technical standpoint the key difference between a distributed system ...
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DOI: https://doi.org/10.1201/9781003378822-6
Richard John Anthony • Elsevier eBooks
(2015)
We now delve into one final major theme of our text: distribution. In this part of the book, we will explore some of the underlying tech-nology in one of the most important aspect of modern systems: how to build distributed systems. Distrib...
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DOI: https://doi.org/10.1016/b978-0-12-800729-7.00006-6
Jos Marlowe, Doug Lea, Malcolm Atkinson • Encyclopedia of Computer Science
(2003)
Nearly all large software systems are necessarily distributed. For example, enterprise-wide business systems must support multiple users running common applications across different sites. A distributed system encompasses these applications...
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Bharadwaj Veeravalli, Thomas G. Robertazzi, Debasish Ghose • IEEE Computer Society Press eBooks
(1996)
From the Publisher:
This book provides an in-depth study concerning a class of problems in the general area of load sharing and balancing in parallel and distributed systems. The authors present the design and analysis of load distribution...
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Mark S. Fox • Elsevier eBooks
(1988)
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DOI: https://doi.org/10.1016/b978-0-934613-63-7.50015-2
Leonard Kleinrock • Computer Networks and ISDN Systems
(1990)
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DOI: https://doi.org/10.1016/0169-7552(90)90028-q
J. L. Lions • Proceedings of the National Academy of Sciences
(1997)
To "control" a system is to make it behave (hopefully) according to our "wishes," in a way compatible with safety and ethics, at the least possible cost. The systems considered here are distributed-i.e., governed (modeled) by partial differ...
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Open Access
DOI: https://doi.org/10.1073/pnas.94.10.4828
PMC: 24591
John A. Hamilton, David A. Nash, Udo W. Pooch • CRC Press eBooks
(2020)
Multiple processor systems may be divided into two general categories: parallel processors (multiprocessors) and distributed systems (multicomputers). The distributed simulations, that is, simulations implemented over distributed systems. P...
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DOI: https://doi.org/10.1201/9781003067849-5
Albert Fleischmann (1994)
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Naohiro Hayashibara, Adel Cherif, Takeshi Katayama • IEEE Symposium on Reliable Distributed Systems (SRDS)
(2003)
This paper discusses the problem of implementing a scalable failure detection service for grid systems. More specifically, traditional implementations of failure detectors are often tuned for running over local networks and fail to address ...
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DOI: https://doi.org/10.1109/reldis.2002.1180218
Richa, Andréa W, Scheideler, Christian • Lecture notes in computer science
(2012)
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DOI: https://doi.org/10.1007/978-3-642-33536-5
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
Gregor von Bochmann • Springer eBooks
(1983)
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DOI: https://doi.org/10.1007/978-3-642-68851-5
Keith A. Lantz • UR Research (University of Rochester)
(1980)
In designing a distributed system it is useful to distinguish between services provided to end-users and services provided to programs. The first type of service is provided by the user interface, the second by the system interface. Both us...
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Open Access