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Félix Gómez Mármol, Gregorio Martínez Pérez • Computers & Security
(2009)
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DOI: https://doi.org/10.1016/j.cose.2009.05.005
Bengt Jönsson • Lecture notes in computer science
(1991)
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DOI: https://doi.org/10.1007/3-540-54430-5_99
Héctor García-Molina, B. Kogan • International Symposium on Databases for Parallel and Distributed Systems
(2005)
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DOI: https://doi.org/10.1109/dpds.1988.675012
Darren Dao, Jeannie R. Albrecht, Charles Edwin Killian, Amin M. Vahdat • Lecture notes in computer science
(2009)
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DOI: https://doi.org/10.1007/978-3-642-00722-4_8
Kemal Efe • Computer
(1982)
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DOI: https://doi.org/10.1109/mc.1982.1654050
Virginia M. Lo • IEEE Transactions on Computers
(1988)
Investigate the problem of static task assignment in distributed computing systems, i.e. given a set of k communicating tasks to be executed on a distributed system of n processors, to which processor should each task be assigned? The autho...
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DOI: https://doi.org/10.1109/12.8704
Vivek S Kale • CRC Press eBooks
(2019)
This chapter provides an introduction to distributed computing as a foundation for better understanding of cloud-enabled business processes. Distributed systems constitute of a large umbrella under which several different software systems a...
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DOI: https://doi.org/10.1201/9781351029148-5
Pradhan, Reddy • IEEE Transactions on Computers
(1982)
A communication architecture for distributed processors is presented here. This architecture is based on a new topolgy we have developed, one which interconnects n nodes by using rn links where the maximum internode distance is logrn, and w...
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DOI: https://doi.org/10.1109/tc.1982.1676101
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
Uwe Glässer, Yuri G. Gurevich, Margus Veanes • IEEE Transactions on Software Engineering
(2004)
In some distributed and mobile communication models, a message disappears in one place and miraculously appears in another. In reality, of course, there are no miracles. A message goes from one network to another; it can be lost or corrupte...
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DOI: https://doi.org/10.1109/tse.2004.25
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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cc-by
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
V. Mountcastle (1978)
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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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