Research topic

Distributed systems and fault tolerance

Discover papers and researchers connected with this scholarly topic.

Research papers

1970 · Communications of the ACM · 5,266 citations

A relational model of data for large shared data banks

Future users of large data banks must be protected from having to know how the data is organized in the machine (the internal representation). A prompting service which supplies such information is not a satisfactory solution. Activities of users at terminals and most application programs should remain unaffected when the internal representation of data is changed and even when some aspects of the external representation are changed. Changes in data representation will often be needed as a result of changes in query, update, and report traffic and natural growth in the types of stored information. Existing noninferential, formatted data systems provide users with tree-structured files or slightly more general network models of the data. In Section 1, inadequacies of these models are discussed. A model based on n -ary relations, a normal form for data base relations, and the concept of a universal data sublanguage are introduced. In Section 2, certain operations on relations (other than logical inference) are discussed and applied to the problems of redundancy and consistency in the user's model.

1993 · Communications of the ACM · 2,386 citations

Some computer science issues in ubiquitous computing

article Free Access Share on Some computer science issues in ubiquitous computing Author: Mark Weiser Xerox PARC, Palo Alto, CA Xerox PARC, Palo Alto, CAView Profile Authors Info & Claims Communications of the ACMVolume 36Issue 7July 1993 pp 75–84https://doi.org/10.1145/159544.159617Published:01 July 1993Publication History 1,500citation17,779DownloadsMetricsTotal Citations1,500Total Downloads17,779Last 12 Months736Last 6 weeks162 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 Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

2021 · ODU Digital Commons (Old Dominion University)

End-to-End Physics Event Generator

We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics. The difficulty of efficiently training a GAN event simulator lies in learning the complicated pat- terns of the distributions of the particles physical properties. We develop a GAN that selects a set of transformed features from particle momenta that can be generated easily by the generator, and uses these to produce a set of augmented features that improve the sensitivity of the discriminator. The new Feature-Augmented and Transformed GAN (FAT-GAN) is able to faithfully reproduce the distribution of final state electron momenta in inclusive electron scattering, without the need for input derived from domain-based theoretical assumptions. The developed technology can play a significant role in boosting the science of the Jefferson Lab 12 GeV program and the future Electron-Ion Collider.