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12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06)
Mapping Task-Graphs on Distributed ECU Networks: Efficient Algorithms for Feasibility and Optimality
Sydney, Australia
August 16-August 18
ISBN: 0-7695-2676-4
Werner Damm, Carl von Ossietzky Universitat Oldenburg, Germany
Alexander Metzner, Carl von Ossietzky Universitat Oldenburg, Germany
Friedrich Eisenbrand, Universitat Dortmund, Germany
Gennady Shmonin, Universitat Dortmund, Germany
Reinhard Wilhelm, Universitat des Saarlandes, Germany
Sebastian Winkel, Universitat des Saarlandes, Germany
We consider the problem of scheduling a number of periodic tasks T on a real-time architecture composed of a set of identical processors P connected by a common bus. Each processor p \in P has a certain amount of memory \mu (p). In our setting, a task \tau \in? T is specified by the period t(\tau), the memory requirement \mu (\tau), the execution time c(\tau), and the deadline d(\tau). We always assume d (\tau) \leqslant t(\tau). Tasks may communicate with each other by sending messages. We denote the set of messages by M, and for each m \in M, src(m) is the source task of m, dst(m) is the target task of m, l(m) is the length of m, and d(m) is the deadline for m. The problem is to find a mapping \prod\limits_{}{} : T \in P representing an assignment of the tasks to the processors that satisfies timing and resource requirements for both tasks and messages. The problem is known to be NP-hard even if tasks do not communicate with each other [9].
Citation:
Werner Damm, Alexander Metzner, Friedrich Eisenbrand, Gennady Shmonin, Reinhard Wilhelm, Sebastian Winkel, "Mapping Task-Graphs on Distributed ECU Networks: Efficient Algorithms for Feasibility and Optimality," rtcsa, pp.87-90, 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06), 2006
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