POMACS V6, N2, June 2022 Editorial

Niklas Carlsson, Edith Cohen, Philippe Robert
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Abstract

The ACM Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS) focuses on the measurement and performance evaluation of computer systems and operates in close collaboration with the ACM Special Interest Group SIGMETRICS. All papers in this issue of POMACS will be presented during the ACM SIGMETRICS/Performance 2022 conference. The issue contains papers selected by the editorial board via a rigorous review process that follows a hybrid conference and journal model, with reviews conducted by the 101 members of our POMACS editorial board. Each paper was either conditionally accepted (and shepherded), allowed a "one-shot" revision (to be resubmitted to one of the subsequent two deadlines), or rejected (with resubmission allowed after a year). For this issue, which represents the winter deadline, we accepted 17 papers out of 126 submissions (including 4 papers that had been given a "one-shot" revision opportunity). All submitted papers received at least 3 reviews and we held an online TPC meeting. Based on the indicated primary track, roughly 31% of the submissions were in the Measurement & Applied Modeling track, 25% were in the Systems track, 23% were in the Theory track, and 21% were in the Learning track. Many people contributed to the success of this issue of POMACS. First, we would like to thank the authors, who submitted their work to SIGMETRICS/POMACS. Second, we would like to thank the TPC members for their work: constructive feedback in their reviews to authors, participation to online discussions and also to TPC meetings. We also thank several external reviewers who provided their expert opinion on specific submissions that required additional input. We are also grateful to the SIGMETRICS Board Chair, Giuliano Casale, and to past TPC Chairs. Finally, we are grateful to the Organization Committee and to the SIGMETRICS Board for their ongoing efforts and initiatives for creating an exciting program for ACM SIGMETRICS/Performance 2022.
POMACS V6, N2, 2022年6月社论
ACM计算系统测量与分析(POMACS)的ACM论文集侧重于计算机系统的测量和性能评估,并与ACM特别兴趣小组SIGMETRICS密切合作。本期《POMACS》的所有论文将在ACM SIGMETRICS/Performance 2022会议期间提交。本刊包含的论文由编辑委员会通过严格的审查程序选择,该程序遵循会议和期刊混合模式,由POMACS编辑委员会的101名成员进行审查。每篇论文要么被有条件地接受(并受到指导),允许“一次性”修改(在随后的两个截止日期之一重新提交),要么被拒绝(一年后允许重新提交)。这期是冬季截稿期,我们从126篇投稿中接受了17篇(包括4篇“一次性”修改机会的论文)。所有提交的论文至少接受了3次评审,并举行了在线TPC会议。根据指示的主要轨道,大约31%的提交是在测量和应用建模轨道,25%在系统轨道,23%在理论轨道,21%在学习轨道。许多人对本期《POMACS》的成功做出了贡献。首先,我们要感谢向SIGMETRICS/POMACS提交工作的作者。其次,我们要感谢TPC成员的工作:他们在对作者的评论中提供建设性的反馈,参与在线讨论和TPC会议。我们还要感谢几位外部审稿人,他们就需要额外投入的具体提交文件提供了专家意见。我们还要感谢SIGMETRICS董事会主席Giuliano Casale和过去的TPC主席。最后,我们感谢组织委员会和SIGMETRICS董事会为ACM SIGMETRICS/Performance 2022创建一个令人兴奋的计划所做的持续努力和倡议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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3.20
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