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Matroid Coflow Scheduling

Authors Sungjin Im, Benjamin Moseley, Kirk Pruhs, Manish Purohit

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Author Details

Sungjin Im
  • University of California at Merced, USA
Benjamin Moseley
  • Carnegie Mellon University, Pittsburgh, PA, USA
Kirk Pruhs
  • University of Pittsburgh, PA, USA
Manish Purohit
  • Google, Mountain View, CA, USA

Funding

  • Im, Sungjin: Supported in part by NSF grants CCF-1409130 and CCF-1617653.
  • Moseley, Benjamin: Supported in part by a Google Research Award and NSF grants CCF-1617724, CCF-1733873 and CCF-1725543.
  • Pruhs, Kirk: Supported in part by NSF grants CCF-1421508 and CCF-1535755, and an IBM Faculty Award.

Acknowledgements

We thank the anonymous reviewers for their thorough reviews and many helpful suggestions.

Cite AsGet BibTex

Sungjin Im, Benjamin Moseley, Kirk Pruhs, and Manish Purohit. Matroid Coflow Scheduling. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 145:1-145:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.ICALP.2019.145

Abstract

We consider the matroid coflow scheduling problem, where each job is comprised of a set of flows and the family of sets that can be scheduled at any time form a matroid. Our main result is a polynomial-time algorithm that yields a 2-approximation for the objective of minimizing the weighted completion time. This result is tight assuming P != NP. As a by-product we also obtain the first (2+epsilon)-approximation algorithm for the preemptive concurrent open shop scheduling problem.

Subject Classification

ACM Subject Classification
  • Theory of computation → Scheduling algorithms
Keywords
  • Coflow Scheduling
  • Concurrent Open Shop
  • Matroid Scheduling

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