Proceedings of the ACM on Measurement and Analysis of Computing Systems

Proceedings of the ACM on Measurement and Analysis of Computing Systems
Title	Proceedings of the ACM on Measurement and Analysis of Computing Systems
Discipline	Computer science
Abbreviation	Proc. ACM Meas. Anal. Comput. Syst.
Publisher	Association for Computing Machinery
Country	United States
History	2016–present
Frequency	Continuous
Openaccess	Hybrid

Proceedings of the ACM on Measurement and Analysis of Computing Systems Proceedings of the ACM on Measurement and Analysis of Computing Systems is a peer-reviewed journal published by the Association for Computing Machinery that focuses on empirical, experimental, and measurement-driven research in computing. The journal serves researchers and practitioners from diverse institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and University of Cambridge. It complements conferences and journals associated with organizations including IEEE, USENIX, ACM SIGCOMM, ACM SIGMETRICS, and ACM SIGOPS.

Overview

The journal publishes articles reporting measurement, analysis, and modeling across hardware and software in contexts investigated at institutions like Google, Microsoft Research, Amazon Web Services, Facebook (Meta), and IBM Research. Authors often come from research groups at ETH Zurich, University of Oxford, Princeton University, Cornell University, and University of Toronto. Editorial interactions link to societies such as Association for Computing Machinery, IEEE Computer Society, Society for Industrial and Applied Mathematics, Royal Society, and National Academy of Sciences.

Scope and topics

Scope includes performance evaluation, workload characterization, and system benchmarking used by teams at Intel Corporation, AMD, NVIDIA, ARM Holdings, and Qualcomm. Topics overlap with studies from European Organization for Nuclear Research, CERN Large Hadron Collider, National Aeronautics and Space Administration, European Space Agency, and projects at Lawrence Berkeley National Laboratory. Manuscripts address measurement methods applicable to environments like Amazon Elastic Compute Cloud, Google Cloud Platform, Microsoft Azure, and services at Netflix and Spotify.

History and publication details

Launched as part of ACM's journal portfolio, the title continued trends established by proceedings associated with conferences such as SIGCOMM 2000, SIGMETRICS 2008, OSDI 2014, SOSP 2015, and USENIX ATC 2017. Early editorial initiatives involved figures from University of Illinois Urbana–Champaign, University of Washington, University of California, San Diego, Duke University, and Brown University. Publication practices align with policies from CrossRef, ORCID, Committee on Publication Ethics, and indexing services like Scopus and Web of Science.

Editorial board and peer review

The editorial board draws associate editors and reviewers from departments at Yale University, Columbia University, New York University, University of Pennsylvania, Johns Hopkins University, Northwestern University, and University of Michigan, Ann Arbor. Peer review processes parallel guidelines endorsed by Council of Science Editors, International Committee of Medical Journal Editors, and standards used by ACM Publications Board. Guest editors have been affiliated with research centers such as Microsoft Research Redmond, Bell Labs, Sony Research, and Samsung Research.

Indexing and impact

Indexed listings appear in services managed by Clarivate Analytics, Elsevier, EBSCO, ProQuest, and Google Scholar. Impact metrics are discussed alongside journals like Communications of the ACM, ACM Transactions on Computer Systems, IEEE/ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems, and Journal of the ACM. Citation analyses reference influential departments at California Institute of Technology, Imperial College London, University of Southern California, Rutgers University, and University of Maryland, College Park.

Notable papers and contributions

Notable contributions include empirical studies of distributed systems and network measurement inspired by work at Akamai Technologies, Cisco Systems, Juniper Networks, and Arista Networks. Landmark analyses have built on datasets produced by projects at Internet Archive, Wayback Machine, Project Gutenberg, OpenStreetMap, and Wikimedia Foundation. Influential methodological advances echo techniques from researchers at Facebook AI Research, DeepMind, OpenAI, Berkeley AI Research, and MIT CSAIL.

Access and licensing options

The journal offers hybrid open access under licenses analogous to options used by Creative Commons with author agreements similar to those administered by SPARC and negotiated by institutions such as Harvard University, University of California, Indiana University, University of Michigan, and Cornell University. Subscription and consortium arrangements involve organizations like JSTOR, Portico, HathiTrust, ResearchGate, and national libraries including the Library of Congress and the British Library.

Category:Computer science journals