---
_id: '21005'
abstract:
- lang: eng
  text: Data-parallel applications are developed using different data programming
    models, e.g., MapReduce, partition/aggregate. These models represent diverse resource
    requirements of application in a datacenter network, which can be represented
    by the coflow abstraction. The conventional method of creating hand-crafted coflow
    heuristics for admission or scheduling for different workloads is practically
    infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based
    coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level
    performance objective, i.e., maximize successful coflow admissions, without manual
    feature engineering.  LCS is trained on a production trace, which has online coflow
    arrivals. The evaluation results show that LCS is able to learn a reasonable admission
    policy that admits more coflows than state-of-the-art Varys heuristic while meeting
    their deadlines.
author:
- first_name: Asif
  full_name: Hasnain, Asif
  id: '63288'
  last_name: Hasnain
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Hasnain A, Karl H. Learning Coflow Admissions. In: <i>IEEE INFOCOM 2021 -
    IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. IEEE
    Communications Society. doi:<a href="https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599">10.1109/INFOCOMWKSHPS51825.2021.9484599</a>'
  apa: 'Hasnain, A., &#38; Karl, H. (n.d.). Learning Coflow Admissions. In <i>IEEE
    INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>.
    Vancouver BC Canada: IEEE Communications Society. <a href="https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599">https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599</a>'
  bibtex: '@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={<a
    href="https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599">10.1109/INFOCOMWKSHPS51825.2021.9484599</a>},
    booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
    (INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif
    and Karl, Holger} }'
  chicago: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In <i>IEEE
    INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>.
    IEEE Communications Society, n.d. <a href="https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599">https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599</a>.
  ieee: A. Hasnain and H. Karl, “Learning Coflow Admissions,” in <i>IEEE INFOCOM 2021
    - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, Vancouver
    BC Canada.
  mla: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” <i>IEEE INFOCOM
    2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>,
    IEEE Communications Society, doi:<a href="https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599">10.1109/INFOCOMWKSHPS51825.2021.9484599</a>.
  short: 'A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer
    Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.'
conference:
  end_date: 2021-05-13
  location: Vancouver BC Canada
  name: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
  start_date: 2021-05-10
date_created: 2021-01-16T18:24:19Z
date_updated: 2022-01-06T06:54:42Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/INFOCOMWKSHPS51825.2021.9484599
keyword:
- Coflow scheduling
- Reinforcement learning
- Deadlines
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9484599
project:
- _id: '16'
  name: SFB 901 - Subproject C4
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '1'
  name: SFB 901
publication: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
  (INFOCOM WKSHPS)
publication_status: accepted
publisher: IEEE Communications Society
related_material:
  link:
  - relation: confirmation
    url: https://ieeexplore.ieee.org/document/9484599
status: public
title: Learning Coflow Admissions
type: conference
user_id: '63288'
year: '2021'
...