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Multiprocessor Extensions to Real-Time Calculus Hennadiy Leontyev, Samarjit Chakraborty and James H. Anderson
 

Summary: Multiprocessor Extensions to Real-Time Calculus
Hennadiy Leontyev, Samarjit Chakraborty and James H. Anderson
Department of Computer Science,University of North Carolina at Chapel Hill
{leontyev,anderson}@cs.unc.edu
Institute for Real-Time Computer Systems (RCS), TU Munich
samarjit@tum.de
Abstract--Many embedded platforms consist of a hetero-
geneous collection of processing elements, memory modules,
and communication subsystems. These components often im-
plement different scheduling/arbitration policies, have different
interfaces, and are supplied by different vendors. Hence,
compositional techniques for modeling and analyzing such
platforms are of interest. In prior work, the real-time calculus
framework has proven to be very effective in this regard.
However, real-time calculus has heretofore been limited to
systems with uniprocessor processing elements, which is a
serious impediment given the advent of multicore technologies.
In this paper, a two-step approach is proposed that allows the
power of real-time calculus to be applied in globally-scheduled
multiprocessor systems: first, assuming that job response-time

  

Source: Anderson, James - Department of Computer Science, University of North Carolina at Chapel Hill

 

Collections: Computer Technologies and Information Sciences