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Provably Good Task Assignment for Two-type Heterogeneous Multiprocessors using Cutting Planes
Ref: CISTER-TR-140511       Publication Date: Sep 2014

Provably Good Task Assignment for Two-type Heterogeneous Multiprocessors using Cutting Planes

Ref: CISTER-TR-140511       Publication Date: Sep 2014

Abstract:
Consider scheduling of real-time tasks on a multiprocessor where migration is forbidden. Specifically, consider the problem of determining a task-to-processor assignment for a given collection of implicit-deadline sporadic tasks upon a multiprocessor platform in which there are two distinct types of processors. For this problem, we propose a new algorithm, LPC (task assignment based on solving a Linear Program with Cutting planes). The algorithm offers the following guarantee: for a given task set and a platform, if there exists a feasible task-to-processor assignment, then LPC succeeds in finding such a feasible task-to-processor assignment as well but on a platform in which each processor is 1.5 × faster and has three additional processors. For systems with a large number of processors, LPC has a better approximation ratio than state-of-the-art algorithms. To the best of our knowledge, this is the first work that develops a provably good real-time task assignment algorithm using cutting planes.

Authors:
Björn Andersson
,
Gurulingesh Raravi


Published in ACM Transactions on Embedded Computing (TECS), ACM, Volume 13, Issue 5s.

DOI:10.1145/2660495.



Record Date: 14, May, 2014