Call for Papers 论文征集
Overview 概述
The 2025 ACM SIGMETRICS conference will be held at Stony Brook University, New York, USA, on June 9-13,
2025.
2025 年 ACM SIGMETRICS 会议将于 2025 年 6 月 9 日至 13 日在美国纽约州石溪大学举行。
We solicit papers on the design, modeling, measurement, and performance analysis of computer systems. A good submission typically focuses on a well-motivated problem in computer systems, proposes a principled solution using modeling, measurement, and performance analysis, and empirically validates the solution through simulations and/or implementation.
我们征集关于计算机系统的设计、建模、测量和性能分析的论文。一篇高质量的投稿通常会专注于计算机系统中一个有明确动机的研究问题,提出一个基于建模、测量和性能分析的原则性解决方案,并通过模拟和/或实现对该解决方案进行实证验证。
The research may target systems in a broad range of domains, including networking, high-performance computing, machine learning, IoT, cloud, edge, multimedia, mobile, and cyber-physical systems. The work may target diverse system metrics such as latency, throughput, reliability, cost, accuracy, fairness, energy, and carbon footprint.
研究可以针对广泛领域的系统,包括网络、高性能计算、机器学习、物联网、云、边缘、多媒体、移动和网络物理系统。研究可以针对各种系统指标,例如延迟、吞吐量、可靠性、成本、准确性、公平性、能耗和碳足迹。
The conference presents papers that have been accepted to appear in the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). There are multiple deadlines to submit your work in time for a presentation at the conference (see below).
本次会议展示了已接受发表在 ACM 测量和分析计算系统论文集(POMACS)上的论文。为了在会议上进行演示,您需要在多个截止日期前提交您的工作(请参阅下方)。
A panel of reviewers will consider all accepted and eligible papers for the Best Paper Awards and the Kenneth C. Sevcik Outstanding Student Paper Award.
一组评审员将审阅所有已接受且符合条件的论文,以评选最佳论文奖和肯尼斯·C·塞夫齐克杰出学生论文奖。
Additionally, a selection of the accepted papers, as identified by a panel of reviewers, may be nominated for publication as Research Highlights in the Communications of the ACM (CACM).
此外,评审小组选出的部分录用论文,可能被提名在《ACM 通讯》(CACM)上发表为研究亮点。
Topics 主题
We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following.
我们征集描述原创且未发表研究的论文。感兴趣的具体主题包括但不限于以下内容。
Quantitative measurement, design and evaluation studies of:
定量测量、设计和评估研究:
- Computer and communication networks, protocols and algorithms
计算机和通信网络、协议和算法
- Wireless, mobile, ad-hoc and sensor networks, IoT applications, and blockchain networks
无线、移动、自组织和传感器网络、物联网应用以及区块链网络
- Systems for machine learning, Machine learning for systems
用于机器学习的系统,机器学习用于系统
- Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks
计算机体系结构、硬件加速器、多核处理器、内存系统和存储网络
- High Performance Computing
高性能计算
- Operating systems, file systems and databases
操作系统、文件系统和数据库
- Virtualization, data centers, distributed and cloud computing, fog and edge computing
虚拟化、数据中心、分布式和云计算、雾计算和边缘计算
- Mobile and personal computing systems
移动和个人计算系统
- Energy-efficient and sustainable computing systems
能效和可持续计算系统
- Real-time and fault-tolerant systems
实时和容错系统
- Security and privacy of computing and networked systems
计算和网络系统的安全性和隐私性
- Software systems and services, and enterprise applications
软件系统和服务,以及企业应用
- Social networks, metaverse, multimedia systems, Web services
社交网络、元宇宙、多媒体系统、Web 服务
- Cyber-physical systems, including the smart grid
网络物理系统,包括智能电网
- Quantum computing and communication
量子计算和通信
Methodologies, formalisms, metrics, solution techniques and algorithms for:
方法论、形式化方法、度量、解决方案技术和算法,用于:
- Machine learning, AI, Big data, data mining, graph analysis, optimization
机器学习、人工智能、大数据、数据挖掘、图分析、优化
- Analytical modeling techniques and model validation
分析建模技术和模型验证
- Workload characterization and benchmarking
工作负载表征和基准测试
- Performance, scalability, power and reliability analysis
性能、可扩展性、功耗和可靠性分析
- Sustainability analysis and power management
可持续性分析和电力管理
- System measurement, performance monitoring and forecasting
系统测量、性能监控和预测
- Anomaly detection, problem diagnosis, and troubleshooting
异常检测、问题诊断和故障排除
- Capacity planning, resource allocation, run-time management and scheduling
容量规划,资源分配,运行时管理和调度
- Experimental design, statistical analysis, simulation
实验设计,统计分析,模拟
- Game theory, network economics, and platform design
博弈论,网络经济学,平台设计
Important Dates 重要日期
There are three submission opportunities over the course of the year.
本年度共有三次提交机会。
-
Summer submission website:
sigmetrics25summer.hotcrp.com
夏季投稿网站:sigmetrics25summer.hotcrp.com
- Registration of abstract: July 31, 2024
摘要注册:2024 年 7 月 31 日
- Paper submission: August 7, 2024
论文投稿截止日期:2024 年 8 月 7 日
- Author notification: September 24, 2024
作者通知日期:2024 年 9 月 24 日
-
Fall submission website: sigmetrics25fall.hotcrp.com
秋季投稿网站:sigmetrics25fall.hotcrp.com
- Registration of abstract: October 2, 2024
摘要注册:2024 年 10 月 2 日
- Paper submission: October 9, 2024
论文提交:2024 年 10 月 9 日
- Author notification: December 10, 2024
作者通知:2024 年 12 月 10 日
-
Winter submission website: sigmetrics25winter.hotcrp.com
冬季投稿网站:sigmetrics25winter.hotcrp.com
- Registration of abstract: January 15, 2025
摘要注册:2025 年 1 月 15 日
- Paper submission: January 22, 2025
论文提交:2025 年 1 月 22 日
- Author notification: March 18, 2025
作者通知:2025 年 3 月 18 日
Deadlines are hard and at 23:59 AoE (Anywhere on Earth).
截止日期为世界各地(AoE)时间 23:59。
Papers may be submitted to any deadline and, upon acceptance, papers will be scheduled for publication in the
Proceedings of the ACM on Measurement and Analysis of
Computing Systems (POMACS) and presentation at the ACM SIGMETRICS conference.
论文可以提交到任何截止日期,并经接受后,将安排在 ACM 测量和分析计算系统论文集 (POMACS) 中发表,并在 ACM SIGMETRICS 会议上进行展示。
The journal publication of
accepted papers will appear in the issue of POMACS immediately following acceptance; i.e., papers that are
accepted for the Summer and Fall deadlines will appear in POMACS before the conference.
已接受的论文将在《POMACS》杂志的下一期发表;也就是说,夏季和秋季截止日期被接受的论文将在会议之前发表在《POMACS》上。
Submission Instructions 投稿须知
Papers must be submitted electronically in printable pdf form via the submission site posted on this page.
All submissions should satisfy the following requirements:
论文必须通过本页面发布的提交网站以可打印的 PDF 格式进行电子提交。所有提交都应满足以下要求:
- Soft Tracking: SIGMETRICS uses "soft" tracking to better match reviewers with submitted papers and
to more clearly define the scope of submissions.
软跟踪:SIGMETRICS 使用“软”跟踪以更好地将审稿人与提交的论文匹配,并更清晰地定义提交范围。
All submissions, regardless of the selected track, will be
treated equally in terms of acceptance criteria and review guidelines. Authors must select a track from
among the four listed on the submission website when submitting their paper.
所有提交论文,无论选择哪个方向,都将按照相同的录用标准和审稿指南进行处理。作者在提交论文时必须从提交网站上列出的四个方向中选择一个。
Optionally, a second track may
be selected only for papers with a strong inter-disciplinary element. For authors who have difficulty
selecting a track, the PC chairs will be available to provide advice.
可选地,仅对于具有强烈跨学科元素的论文,可以选择第二个方向。对于难以选择方向的作者,程序委员会主席将提供建议。
The four tracks adopted for SIGMETRICS
2025 (for all three deadlines) are:
SIGMETRICS 2025 (所有三个截止日期)采用的四个方向是:
- Learning. Papers in this track make progress on either (i) the design and analysis of machine
learning and AI algorithms, broadly defined, or (ii) the application of tools from machine learning and
AI, broadly defined, to the design, control, and optimization of computing, networked, social, or
cyber-physical systems. The areas of interest include, but are not limited to, learning theory, online
learning, reinforcement learning, deep learning, trustworthy learning (causality, fairness, privacy), and
distributed learning, as well as their applications to systems.
学习。本赛道中的论文在以下方面取得进展:(i) 广泛定义的机器学习和人工智能算法的设计和分析,或 (ii) 将机器学习和人工智能工具(广泛定义)应用于计算、网络、社会或网络物理系统的设计、控制和优化。感兴趣的领域包括但不限于:学习理论、在线学习、强化学习、深度学习、可信学习(因果关系、公平性、隐私)和分布式学习,以及它们在系统中的应用。
- Measurement & Applied Modeling. Papers in this track make an empirical or applied contribution.
测量与应用建模。本轨道中的论文进行经验或应用贡献。
They often either (i) draw significant insights from real or synthetic data through access to new data
sources or experiments, or through novel analysis of existing data sources; and/or (ii) propose and apply
a new model or simulation tool to capture real-world phenomena.
它们通常要么 (i) 通过访问新的数据源或实验,或通过对现有数据源的新颖分析,从真实或合成数据中获得重要的见解;要么 (ii) 提出并应用新的模型或仿真工具来捕捉现实世界现象。
Papers in this track may present
general-purpose measurement or simulation methodologies, or may focus on a specific application domain, or
a particular technology, and explain data obtained from measurements of that domain or technology.
本轨道中的论文可以介绍通用测量或仿真方法,也可以专注于特定应用领域或特定技术,并解释从该领域或技术的测量中获得的数据。
- Systems. Papers in this track make a contribution to the design, implementation, and/or practical
evaluation of computing, networked, social, or cyber-physical systems. A good submission to this track
will make a contribution to the modeling and performance analysis of the system prior to empirical
validation.
系统。本轨道中的论文对计算、网络、社会或网络物理系统的设计、实现和/或实际评估做出贡献。提交给本轨道的优秀论文将在经验验证之前对系统进行建模和性能分析。
The areas of interest include, but are not limited to networking, distributed systems,
computer architecture, wireless networks, edge/IoT applications, high-performance computing, cloud
computing, energy efficiency, real-time and fault-tolerant computing, security and privacy, social
networks,cyber-physical systems, and the smart grid.
研究领域包括但不限于网络、分布式系统、计算机体系结构、无线网络、边缘/物联网应用、高性能计算、云计算、能源效率、实时和容错计算、安全和隐私、社交网络、网络物理系统以及智能电网。
System papers with a strong machine learning and AI
focus are encouraged to apply to the Learning track.
具有强大机器学习和人工智能重点的系统论文鼓励申请学习轨道。
- Theory. Papers in this track make progress on existing theoretical problems, propose new ones, or
introduce significant new analysis techniques.
理论。本轨道的论文在现有理论问题上取得进展,提出新的理论问题,或引入重要的新的分析技术。
The areas of interest include but are not limited to,
stochastic processes & applied probability, graph theory, scheduling & resource allocation, queueing
theory, caching theory, algorithms, mathematical optimization, control theory, market design & game
theory, privacy & security, network science, and algorithmic fairness.
感兴趣的领域包括但不限于:随机过程与应用概率、图论、调度与资源分配、排队论、缓存理论、算法、数学优化、控制理论、市场设计与博弈论、隐私与安全、网络科学和算法公平性。
- In addition to tracks, authors must select one or more topics from a list provided in the submission site.
除轨道外,作者还必须从提交网站提供的列表中选择一个或多个主题。
- The submission may have up to 20 pages, in single-column acmsmall template format,
for technical content (including all tables and figures), plus unlimited pages for references. No changes to
margins, spacing, or font sizes are allowed from those specified by the style files.
提交稿件最多可包含 20 页,采用单栏 acmsmall 模板格式,用于技术内容(包括所有表格和图表),参考文献页数不限。不得更改样式文件指定的页边距、间距或字体大小。
Papers violating the
formatting guidelines will be returned without review. Additionally, authors may supplement their paper with
an appendix, whose length is not constrained.
违反格式指南的论文将被退回,不予审阅。此外,作者可以附录补充论文,其长度不受限制。
However it may only be used for the purpose of justifying the
technical correctness of the claims stated in the body of the paper, e.g., a subset of the proofs or
additional experimental validation.
但是,它仅用于证明论文正文中陈述的主张的技术正确性,例如,部分证明或额外的实验验证。
Note that the novelty of the submission will be judged based on the
technical content of the paper and the reviewers are not obliged to read the appendix.
请注意,提交稿件的新颖性将根据论文的技术内容进行判断,审稿人无需阅读附录。
- Reviewing is double anonymous (also known as double blind); please do NOT include your name or affiliation
on the submission. Please refer to the anonymity guidelines below in the Policies section.
审稿为双盲审稿(也称为双盲审稿);请勿在提交稿件中包含您的姓名或机构信息。请参阅“政策”部分中的匿名性指南。
- Authors must truthfully declare all conflicts with program committee members on the submission page. If a
paper is found to have undeclared conflicts or has listed false conflicts, the paper may be rejected.
作者必须在提交页面上如实声明与程序委员会成员的所有冲突。如果发现论文存在未声明的冲突或列出了虚假冲突,则该论文可能会被拒绝。
Conflicts include shared institutional affiliations, collaborations (joint research, authorship, or funding)
that occurred in the last 24 months before the selected submission deadline or are expected in the near
future, past or current PhD student/supervisor relationships, and close personal or family relationships.
冲突包括:最近 24 个月内或未来近期内存在的共同机构隶属关系、合作关系(联合研究、合著或资金支持)、过去的或当前的博士生/导师关系以及亲密个人或家庭关系。
- Authors are encouraged to conform to the inclusivity guidelines provided in the Diversity and
Inclusiveness section below.
鼓励作者遵守下方“多样性和包容性”部分中提供的包容性准则。
The Reviewing Process 审稿流程
Papers invited to present at the SIGMETRICS conference are journal papers accepted to the Proceedings of the
ACM on Measurement and Analysis of Computing Systems (POMACS).
受邀在 SIGMETRICS 会议上发表论文的论文是已接受发表在 ACM 测量和分析计算系统论文集 (POMACS) 的期刊论文。
The reviewing process for submissions is a
hybrid of the traditional conference and journal models in computer science. There are three possible outcomes
from the first round of submission:
提交稿件的审阅过程结合了计算机科学领域传统会议和期刊的模式。第一次提交后,可能出现三种结果:
- Accept with Shepherding: Every accepted paper will be shepherded in order to ensure that important
suggestions from the reviewers are incorporated into the final version of the paper.
接受并指导:所有被接受的论文都将接受指导,以确保审稿人提出的重要建议被纳入论文最终版本。
- Reject: If the paper is rejected it may not be resubmitted to any SIGMETRICS deadline within 12
months following the initial submission of the paper.
拒绝:如果论文被拒绝,则在最初提交论文后的 12 个月内,不得将其提交给任何 SIGMETRICS 截止日期。
- Resubmit: For papers that are close to the acceptance threshold, but require a major revision prior
to acceptance, the 12-month resubmission ban is waived and a resubmit option is offered.
重新提交:对于接近接受阈值但需要重大修改才能接受的论文,12 个月重新提交禁令将被取消,并提供重新提交选项。
Authors may then
resubmit a revision of the paper during one of the next three submission deadlines (this may fall into ACM
SIGMETRICS 2026 deadlines).
作者随后可在接下来的三次提交截止日期之一(这可能包括 ACM SIGMETRICS 2026 的截止日期)提交论文的修改稿。
The revision will be treated the same as a new submission and may be reviewed by
a different set of reviewers.
修改稿将被视为新的提交稿件,并可能由不同的审稿人进行审阅。
Policies 政策
- Anonymity guidelines: ACM SIGMETRICS is double anonymous, meaning that authors should make a
good-faith effort to anonymize their papers.
匿名指南:ACM SIGMETRICS 是双盲匿名,这意味着作者应尽力使他们的论文匿名化。
As an author, you should not identify yourself in the paper
either explicitly or by implication (e.g., through the references or acknowledgments). However, only
non-destructive anonymization is required.
作为作者,您不应在论文中明确或暗示地(例如,通过参考文献或致谢)自我识别。但是,仅需非破坏性匿名化。
For example, system names may be left un-anonymized, if the
system name is important for a reviewer to be able to evaluate the work. Specifically, please take the
following steps when preparing your submission:
例如,如果系统名称对于评审员评估工作很重要,则系统名称可以不匿名化。具体来说,请在提交稿件时执行以下步骤:
- Remove authors' names and affiliations from the title page.
从标题页中删除作者姓名和隶属关系。
- Remove acknowledgment of identifying names and funding sources.
删除对识别姓名和资金来源的致谢。
- Use care in naming your files. Source file names, e.g., Joe.Smith.dvi, are often embedded in the final
output as readily accessible comments.
在命名文件时请谨慎。源文件名称,例如 Joe.Smith.dvi,通常会嵌入到最终输出中,作为易于访问的注释。
- Use care in referring to related work, particularly your own. Do not omit references to provide
anonymity, as this leaves the reviewer unable to grasp the context.
在引用相关工作时,特别是引用自己的工作时,请谨慎。不要省略参考文献以保持匿名,因为这会使审稿人无法理解上下文。
Instead, a good solution is to
reference your past work in the third person, just as you would any other piece of related work.
相反,一个好的解决方法是使用第三人称引用您的以往工作,就像引用任何其他相关工作一样。
- If you need to reference another submission at ACM SIGMETRICS 2025 on a related topic, reference it as
follows: "A related paper describes the design and implementation of our compiler [Anonymous 2025]." with
the corresponding citation: "[Anonymous 2025] Under submission.
如果您需要引用 ACM SIGMETRICS 2025 上关于相关主题的其他提交,请按如下方式引用:“一篇相关论文描述了我们编译器的设计和实现 [匿名 2025]。” 对应的引用为:“[匿名 2025] 正在提交中。”
Details omitted for double anonymous
reviewing."
双盲审阅,细节略去。
- If you cite anonymous work, you should also send the deanonymized reference(s) to the PC chairs in a
separate email.
如果您引用匿名作品,您还应将去匿名化的参考文献发送给程序委员会主席,请通过单独的电子邮件发送。
- Publication of a pre-submission version of the submission on your personal website, institutional
archive, or the arXiv is allowed.
在提交前发布你个人网站、机构档案或 arXiv 上的提交版本是允许的。
We encourage the authors to do so as far away as possible from the
submission deadline, as potential reviewers may be automatically notified (e.g., if subscribed to receive
updates on recently posted papers).
我们鼓励作者尽可能在投稿截止日期之前提交,因为潜在审稿人可能会收到自动通知(例如,如果他们订阅了关于最近发表论文的更新)。
In addition, authors should take care not to widely broadcast
information about their arXiv submission, for example, on social media forums or a general press release
or large mailing lists where PC members in the recipient list or audience can easily identify the authors.
此外,作者应注意不要广泛传播关于其 arXiv 投稿的信息,例如,在社交媒体论坛、一般新闻稿或大型邮件列表上,因为收件人列表或受众中的程序委员会成员很容易识别出作者。
- PC members and other reviewers are expected to not actively attempt to deanonymize papers. In either
case, if there is a breach of double anonymous reviewing, the author and the reviewer should report it to
the PC chairs.
程序委员会成员和其他审稿人应避免主动尝试揭示论文作者身份。无论哪种情况,如果双盲审稿制度遭到破坏,作者和审稿人应向程序委员会主席报告。
- For accepted papers, it is expected that the list of authors will not change between the last submission
and the final camera-ready copy.
对于接受的论文,预期作者列表在最后提交稿件和最终的相机稿件之间不会发生变化。
- The paper must have a substantive title and abstract. Placeholders are not allowed after the
registration deadline. Any submission that does not have a substantive title and abstract by the
registration deadline will be rejected without further notice.
论文必须包含有实质内容的标题和摘要。注册截止日期后不允许使用占位符。任何未在注册截止日期前提交包含有实质内容的标题和摘要的投稿,都将被拒绝,恕不另行通知。
- Submissions must present original research. However, previous publication of preliminary work as an
extended abstract at a workshop is acceptable as long as the submission includes substantial new material.
提交的论文必须是原创研究。然而,如果初步研究成果已作为研讨会扩展摘要发表,只要提交的论文包含大量新内容,则亦可接受。
Further, in such cases, authors should (i) acknowledge their own previous workshop publications with an
anonymous citation, and (ii) explain the differences between the SIGMETRICS submission and the prior
workshop paper.
此外,在上述情况下,作者应(i)以匿名引用方式承认其先前研讨会发表的文章,以及(ii)解释 SIGMETRICS 论文与先前研讨会论文之间的差异。
A rule of thumb is that a prior workshop publication should be at most 6 pages long, not
including references.
经验法则是,先前研讨会发表的文章长度不应超过 6 页,不包括参考文献。
- It is ACM policy not to allow simultaneous submissions, where the same paper is concurrently
submitted to more than one conference/journal.
ACM 的政策不允许同时提交,即同一篇论文同时提交给多家会议/期刊。
Any simultaneous submissions detected will be immediately
rejected from all conferences/journals involved, and the authors may be blacklisted if multiple such
violations are detected, including across conference editions.
任何检测到的同时提交都会立即从所有相关的会议/期刊中被拒绝,并且如果检测到多次此类违规行为(包括跨会议版本),作者可能会被列入黑名单。
It is considered a simultaneous submission
for a paper that is being considered for a one-shot revision to be submitted to another conference/journal
before being withdrawn from the SIGMETRICS process.
如果一篇论文正在考虑进行一次性修改,并在从 SIGMETRICS 流程中撤回之前提交给另一家会议/期刊,则被视为同时提交。
This applies to all papers, i.e., even authors who wish
to opt out of POMACS can only submit to a journal after they have received a decision from SIGMETRICS.
这适用于所有论文,也就是说,即使作者希望退出 POMACS,他们也必须在收到 SIGMETRICS 的决策后才能提交给期刊。
- All accepted papers will undergo a shepherding process. The camera-ready paper must be approved by the
shepherd for final publication prior to any upload to the ACM camera-ready management system.
所有录用论文都将经历牧羊人流程。相机就绪论文必须获得牧羊人批准,才能在上传到 ACM 相机就绪管理系统之前最终发表。
No
unauthorized changes to the body of the paper or references are allowed in between shepherd approval and
camera-ready upload. Violations will be investigated by the conference leadership and may lead to sanctions.
在牧羊人批准和相机就绪上传之间,不允许对论文正文或参考文献进行任何未经授权的更改。违规行为将由会议领导进行调查,并可能导致处罚。
- Authors have the option to "opt out" of publication in the ACM POMACS journal if they would like to
publish their work in some other journal.
作者可以选择“退出”在 ACM POMACS 期刊发表,如果他们希望在其他期刊发表他们的作品。
Authors who choose this option must still present their work at
the conference and undergo shepherding under the same terms as papers that will appear in ACM POMACS.
选择此选项的作者仍然必须在会议上提交他们的作品,并接受与将在 ACM POMACS 期刊发表的论文相同的指导。
Additionally, a 1-2 page extended abstract of the work must be included in Performance Evaluation Review.
This abstract must contain a link to an online version of the full paper that will be maintained for at
least 2 years.
此外,必须在《性能评估综述》中包含一篇 1-2 页的扩展摘要。该摘要必须包含指向完整论文在线版本的链接,该链接至少保留 2 年。
- For papers that decide to "opt out", an expedited review process of accepted papers will be provided by
the following journals: ACM Transactions on Modeling and Performance Evaluation of Computer Systems,
Elsevier Performance Evaluation, INFORMS Operations Research, Stochastic Models, and Stochastic Systems. In
each case, after you have notified the TPC Chairs of your decision, you should prepare your manuscript using
the same preparation guidelines as standard papers for the journals, indicate in the cover letter that the
paper was published at SIGMETRICS, and submit the paper with an authors' response to the SIGMETRICS reviews.
对于选择“退出”的论文,以下期刊将提供接受论文的快速审阅流程:ACM 计算机系统建模与性能评估事务、Elsevier 性能评估、INFORMS 运筹学、随机模型和随机系统。在每种情况下,您都应在通知 TPC 主席您的决定后,使用与期刊标准论文相同的准备指南来准备您的手稿,并在推荐信中说明该论文已在 SIGMETRICS 上发表,并附上作者对 SIGMETRICS 评审的回应提交论文。
Note that, in all cases, the paper will undergo a separate reviewing process within these journals, and
acceptance at SIGMETRICS does not guarantee acceptance of the journal submission.
请注意,在所有情况下,论文都将在这些期刊中进行单独的审阅流程,并且在 SIGMETRICS 上被接受并不保证期刊投稿被接受。
- Papers accompanied by nondisclosure agreement forms will not be considered. All submissions will be
treated as confidential prior to publication. Rejected submissions will be permanently treated as
confidential.
凡是附有保密协议表格的论文将不被考虑。所有投稿在发表前都将被视为机密。被拒绝的投稿将永久被视为机密。
- To avoid any potential bias, the core conference organizers, including the General Chairs and Program
Chairs, will not submit papers to any of the SIGMETRICS submission deadlines in this call for papers.
为了避免任何潜在的偏见,核心会议组织者,包括大会主席和程序主席,不会在本次征稿中提交论文。
PC
members and other Organizing Committee members, however, are allowed to submit their papers.
然而,PC 成员和其他组织委员会成员可以提交他们的论文。
Ethical Considerations 伦理考量
Papers describing experiments with users or user data (e.g., network traffic, passwords, social network
information), should follow the basic principles of ethical research, e.g., beneficence (maximizing the
benefits to an individual or to society while minimizing harm to the individual), minimal risk
(appropriateness of the risk versus benefit ratio), voluntary consent, respect for privacy, and limited
deception.
描述用户或用户数据(例如,网络流量、密码、社交网络信息)实验的论文,应遵循伦理研究的基本原则,例如:利益最大化(最大限度地使个人或社会受益,同时将对个人的损害降至最低)、最小风险(风险与收益比例的适当性)、自愿同意、尊重隐私和有限的欺骗。
When appropriate, authors are encouraged to include a subsection describing these issues. Authors
may want to consult the Menlo
Report for further information on ethical principles, or the Allman/Paxson IMC '07
paper for guidance on ethical data sharing.
在适当的情况下,鼓励作者包含一个描述这些问题的子部分。作者可以参考 Menlo 报告以获取更多关于伦理原则的信息,或参考 Allman/Paxson IMC '07 论文以获得关于伦理数据共享的指导。
Authors must, as part of the submission process, attest that their work complies with all applicable ethical
standards of their home institution(s), including but not limited to privacy policies and policies on
experiments involving humans.
作者必须在提交过程中声明其工作符合其所属机构(们)的所有适用伦理标准,包括但不限于隐私政策和涉及人类实验的政策。
Note that submitting research for approval by one's institution's ethics review
body is necessary, but not sufficient--in cases where the PC has concerns about the ethics of the work in a
submission, the PC will have its own discussion of the ethics of that work.
请注意,将研究提交给所在机构的伦理审查机构进行批准是必要的,但并非充分的——如果审稿委员会对提交作品的伦理问题有顾虑,审稿委员会将就该作品的伦理问题进行自身讨论。
The PC's review process may
examine the ethical soundness of the paper just as it examines the technical soundness.
个人电脑(PC)的审稿流程会如同审查论文的技术严谨性一样,审查论文的伦理合理性。
As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including
ACM's new Publications Policy on Research Involving Human Participants and Subjects.
作为已发表的 ACM 作者,您和您的合著者均受所有 ACM 出版政策的约束,包括 ACM 关于涉及人类参与者和受试者的研究的新出版政策。
In particular, authors
must follow the basic research and publication principle outlined by the ACM Publication Board's Policies and
Procedures and the ACM Code of Ethics and
Professional Conduct. Relevant policies regarding the publication and review processes include ACM's
policies on coercion and abuse in the ACM publications process, and on plagiarism,
misrepresentation, and falsification.
尤其地,作者必须遵守 ACM 出版委员会的政策和程序以及 ACM 职业道德和职业行为准则中概述的基本研究和出版原则。关于出版和审阅流程的相关政策包括 ACM 在 ACM 出版流程中关于胁迫和滥用以及剽窃、虚假陈述和伪造的政策。
Diversity and Inclusiveness
多样性和包容性
As part of our efforts at fostering diversity and inclusiveness, we provide the following guidelines to
assist you when preparing your paper submission and/or your conference presentation.
作为我们促进多样性和包容性的努力的一部分,我们提供以下指南,以帮助您准备论文投稿和/或会议演讲。
Inclusivity Guidelines: Good technical writing often requires pedagogical examples to explain complex
ideas. These provide an opportunity to promote inclusiveness by challenging implicit biases and assumptions.
包容性指南:优秀的技术写作通常需要教学示例来解释复杂的概念。这些示例提供了通过挑战内隐偏见和假设来促进包容性的机会。
- Avoid gender-specific pronouns if possible. Where required, consider interspersing a balance of male
("he", "his"), female ("she", "her"), and gender-neutral ("they", "their") ones.
如果可能,避免使用性别特定的代词。如有需要,考虑交替使用男性(“他”、“他的”)、女性(“她”、“她的”)和中性(“他们”、“他们的”)代词。
- Use gender-neutral names in examples. Instead of Alice and Bob, try Alex and Jun. Consider names that
reflect a variety of cultural backgrounds: Esteban, Naveena, Sasha, Sergey, Tuan, Xin, and so on.
在示例中使用中性姓名。与其使用 Alice 和 Bob,不如尝试使用 Alex 和 Jun。考虑反映各种文化背景的姓名:Esteban、Naveena、Sasha、Sergey、Tuan、Xin 等。
- Refrain from assuming binary gender. For instance, the "gender" column in a table of data should have more
than just "male" and "female" values.
不要假设性别二元论。例如,数据表中的“性别”列应包含不止“男性”和“女性”的值。
- Be mindful of people's diverse backgrounds. Not everyone has two parents. Not every marriage involves
"husband" and "wife". Not everyone lives in a house, or has a car.
注意人们不同的背景。并非每个人都有两个父母。并非每段婚姻都包含“丈夫”和“妻子”。并非每个人都住在房子里,或拥有汽车。
Accessibility Guidelines: Color and hearing perception varies from person to person depending on age,
color blindness, distance, visual acuity, etc. Make sure that the contents of your paper are accessible to all,
by considering the following:
可访问性指南:颜色和听觉感知因个人年龄、色盲、距离、视力等因素而异。请确保论文内容对所有人可访问,请考虑以下事项:
- Use patterns, symbols, and textures to emphasize and contrast visual elements in graphs and figures,
rather than using colors alone. Graphs should be readable either in monochrome or color versions.
使用图案、符号和纹理来强调和对比图表和图形中的视觉元素,而不是仅使用颜色。图表应在单色或彩色版本中均可读。
- Use a color palette that is designed for visually-impaired or color-blind people. Avoid poor color
combinations such as green/red or blue/purple.
使用为视力障碍者或色盲者设计的调色板。避免使用不良的色彩组合,例如绿色/红色或蓝色/紫色。
Contact the SIGMETRICS 2025 PC chairs at sigmetrics25tpcchairs@sigmetrics.org in case of questions or concerns.
如有任何疑问或顾虑,请联系 SIGMETRICS 2025 程序委员会主席,邮件地址为 sigmetrics25tpcchairs@sigmetrics.org。