Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3519935.3520077acmconferencesArticle/Chapter ViewAbstractPublication PagesstocConference Proceedingsconference-collections
research-article

Flow time scheduling and prefix Beck-Fiala

Published: 10 June 2022 Publication History
  • Get Citation Alerts
  • Abstract

    We relate discrepancy theory with the classic scheduling problems of minimizing max flow time and total flow time on unrelated machines. Specifically, we give a general reduction that allows us to transfer discrepancy bounds in the prefix Beck-Fiala (bounded ℓ1-norm) setting to bounds on the flow time of an optimal schedule. Combining our reduction with a deep result proved by Banaszczyk via convex geometry, give guarantees of O(√logn) and O(√logn logP) for max flow time and total flow time, respectively, improving upon the previous best guarantees of O(logn) and O(logn logP). Apart from the improved guarantees, the reduction motivates seemingly easy versions of prefix discrepancy questions: any constant bound on prefix Beck-Fiala where vectors have sparsity two (sparsity one being trivial) would already yield tight guarantees for both max flow time and total flow time. While known techniques solve this case when the entries take values in {−1,0,1}, we show that they are unlikely to transfer to the more general 2-sparse case of bounded ℓ1-norm.

    References

    [1]
    Wojciech Banaszczyk. 2012. On series of signed vectors and their rearrangements. Random Struct. Algorithms, 40, 3 (2012), 301–316. https://doi.org/10.1002/rsa.20373
    [2]
    Nikhil Bansal. 2010. Constructive Algorithms for Discrepancy Minimization. In Proceedings of FOCS. 3–10. https://doi.org/10.1109/FOCS.2010.7
    [3]
    Nikhil Bansal, Daniel Dadush, and Shashwat Garg. 2019. An Algorithm for Komlós Conjecture Matching Banaszczyk’s Bound. SIAM J. Comput., 48, 2 (2019), 534–553. https://doi.org/10.1137/17M1126795
    [4]
    Nikhil Bansal, Daniel Dadush, Shashwat Garg, and Shachar Lovett. 2019. The Gram-Schmidt Walk: A Cure for the Banaszczyk Blues. Theory Comput., 15 (2019), 1–27. https://doi.org/10.4086/toc.2019.v015a021
    [5]
    Nikhil Bansal and Shashwat Garg. 2017. Algorithmic discrepancy beyond partial coloring. In Proceedings of STOC. 914–926. https://doi.org/10.1145/3055399.3055490
    [6]
    Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, and Makrand Sinha. 2022. Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing. In Proceedings of ITCS. no appear
    [7]
    Nikhil Bansal and Janardhan Kulkarni. 2015. Minimizing Flow-Time on Unrelated Machines. In Proceedings of STOC. 851–860. https://doi.org/10.1145/2746539.2746601
    [8]
    József Beck and Tibor Fiala. 1981. “Integer-making” theorems. Discrete Appl. Math., 3, 1 (1981), 1–8.
    [9]
    Naveen Garg and Amit Kumar. 2006. Better Algorithms for Minimizing Average Flow-Time on Related Machines. In Proceedings of ICALP. 4051, 181–190. https://doi.org/10.1007/11786986_17
    [10]
    Naveen Garg and Amit Kumar. 2007. Minimizing Average Flow-time : Upper and Lower Bounds. In Proceedings of FOCS. 603–613. https://doi.org/10.1109/FOCS.2007.42
    [11]
    Naveen Garg, Amit Kumar, and V. N. Muralidhara. 2008. Minimizing Total Flow-Time: The Unrelated Case. In Proceedings of ISAAC. 5369, 424–435. https://doi.org/10.1007/978-3-540-92182-0_39
    [12]
    Jan Karel Lenstra, David B. Shmoys, and Éva Tardos. 1990. Approximation Algorithms for Scheduling Unrelated Parallel Machines. Math. Program., 46 (1990), 259–271. https://doi.org/10.1007/BF01585745
    [13]
    László Lovász, Joel Spencer, and Katalin Vesztergombi. 1986. Discrepancy of Set-systems and Matrices. Eur. J. Comb., 7, 2 (1986), 151–160. https://doi.org/10.1016/S0195-6698(86)80041-5
    [14]
    Shachar Lovett and Raghu Meka. 2015. Constructive Discrepancy Minimization by Walking on the Edges. SIAM J. Comput., 44, 5 (2015), 1573–1582. https://doi.org/10.1137/130929400
    [15]
    Sahil Singla. 2021. Personal communication
    [16]
    Joel Spencer. 1986. Balancing vectors in the max norm. Combinatorica, 6, 1 (1986), 55–65.
    [17]
    Joel Spencer. 1994. Ten lectures on the probabilistic method. SIAM.
    [18]
    Roman Vershynin. 2018. High-Dimensional Probability: An Introduction with Applications in Data Science. Cambridge University Press.

    Cited By

    View all
    • (2024)Optimal Online Discrepancy MinimizationProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649720(1832-1840)Online publication date: 10-Jun-2024
    • (2023)Resolving Matrix Spencer Conjecture Up to Poly-logarithmic RankProceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585103(1814-1819)Online publication date: 2-Jun-2023

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    STOC 2022: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
    June 2022
    1698 pages
    ISBN:9781450392648
    DOI:10.1145/3519935
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 June 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. discrepancy
    2. integrality gap
    3. linear program

    Qualifiers

    • Research-article

    Conference

    STOC '22
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)39
    • Downloads (Last 6 weeks)3

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Optimal Online Discrepancy MinimizationProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649720(1832-1840)Online publication date: 10-Jun-2024
    • (2023)Resolving Matrix Spencer Conjecture Up to Poly-logarithmic RankProceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585103(1814-1819)Online publication date: 2-Jun-2023

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media