Scheduling Challenges in Mixed Critical Real-time Heterogeneous Computing Platforms

AuthorsChetan Kumar, Sudhanshu Vyas, Ron Cytron, Christopher Gill, Joseph Zambreno, and Phillip Jones
TypeConference Paper
Published inProceedings of Dynamic Data Driven Application Systems (DDDAS)
DateJune 2013

Abstract

In Dynamic Data-Driven Application Systems (DDDAS), applications must dynamically adapt their behavior in response to objectives and conditions that change while deployed. Often these applications may be safety critical or tightly resource constrained, with a need for graceful degradation when introduced to unexpected conditions. This paper begins by motivating and providing a vision for a dynamically adaptable mixed critical computing platform to support DDDAS applications. We then specifically focus on the need for advancements in task models and scheduling algorithms to manage the resources of such a platform. We discuss the short comings of existing task models for capturing important attributes of our envisioned computing platform, and identify challenges that must be addressed when developing scheduling algorithms that act upon our proposed extended task model.

BibTeX

@conference{KumVya13A,
  title = {Scheduling Challenges in Mixed Critical Real-time Heterogeneous Computing Platforms},
  booktitle = {Proceedings of Dynamic Data Driven Application Systems (DDDAS)},
  year = {2013},
  month = jun,
  author = {Kumar, Chetan and Vyas, Sudhanshu and Cytron, Ron and Gill, Christopher and Zambreno, Joseph and Jones, Phillip}
}

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