Summary: Multiprocessor Extensions to Real­Time 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 Real­Time 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 real­time calculus
framework has proven to be very effective in this regard.
However, real­time 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 two­step approach is proposed that allows the
power of real­time calculus to be applied in globally­scheduled
multiprocessor systems: first, assuming that job response­time

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

Collections: Computer Technologies and Information Sciences