Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems最新文献

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Towards Optimality in Parallel Job Scheduling 并行作业调度的最优性研究

Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems Pub Date : 2017-07-22 DOI: 10.1145/3219617.3219666

Benjamin Berg, Jan-Pieter L. Dorsman, Mor Harchol-Balter

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引用次数: 17

Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization 迈向快速收敛、低延迟、低复杂度的网络优化

Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems Pub Date : 2017-07-17 DOI: 10.1145/3219617.3219671

Sinong Wang, N. Shroff

{"title":"Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization","authors":"Sinong Wang, N. Shroff","doi":"10.1145/3219617.3219671","DOIUrl":"https://doi.org/10.1145/3219617.3219671","url":null,"abstract":"Distributed network optimization has been studied several years. However, we still do not have a good idea of how to design schemes that can simultaneously provide good performance across the dimensions of utility optimality, convergence speed, and delay. To address these challenges, in this paper, we propose a new algorithmic framework with all these metrics approaching optimality. The salient features of our new algorithm are three-fold: (i) fast convergence: it converges with only O(log(1/ε)) iterations, that is the fastest speed among all the existing algorithms; (ii) low delay: it guarantees optimal utility with finite queue length; (iii) simple implementation: the control variables of this algorithm are based on virtual queues that do not require maintaining per-flow information. The new technique builds on a kind of inexact Uzawa method in the Alternating Directional Method of Multiplier. A theoretical contribution of independent interest is a new pathway we provide to prove global and linear convergence rate of Uzawa-ADMM without requiring the full rank assumption of the constraint matrix.","PeriodicalId":210440,"journal":{"name":"Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems","volume":"387 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Session details: Learning II 会议详情:学习二

Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems Pub Date : 2010-04-15 DOI: 10.1145/3258592

D. Shah

引用次数: 0

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