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On the Flow of Data, Information, and Time

  • Martín Abadi
  • Michael Isard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9036)

Abstract

We study information flow in a model for data-parallel computing. We show how an extant notion of virtual time can help guarantee information-flow properties. For this purpose, we introduce functions that express dependencies between inputs and outputs at each node in a dataflow graph. Each node may operate over a distinct set of virtual times—so, from a security perspective, it may have its own classification scheme. A coherence criterion ensures that those local dependencies yield global properties.

Keywords

Security Level Outgoing Edge Local History Incoming Edge Alternative Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Martín Abadi
    • 1
  • Michael Isard
    • 2
  1. 1.University of CaliforniaSanta CruzUSA
  2. 2.Microsoft ResearchMountain ViewUSA

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