Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

Middleware: ACM/IFIP/USENIX International Middleware Conference — papers and institutions, 2024–2026

Papers of Middleware, ACM/IFIP/USENIX International Middleware Conference (CORE rank A; field: Distributed computing and systems software), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • Middleware (ACM/IFIP/USENIX International Middleware Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 103 of its papers from 2024–2026 (55 in 2024, 48 in 2025; 2026 not in OpenAlex yet).
  • By the countries of the authors' institutions, the most papers come from the United States (31), Germany (14) and Canada (12).
  • The institutions with the most papers are University of Toronto (6), Virginia Tech (5) and Institut national de recherche en sciences et technologies du numérique (4).
  • Its most-cited paper of these years is “FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems” (2024), with 14 citations.

Papers per year#

Middleware papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20245554
20254848
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4306420020The conference's proceedings

Who publishes there#

Institutions with the most Middleware papers, 2024–2026
#InstitutionPapers
1University of Toronto6
2Virginia Tech5
3Institut national de recherche en sciences et technologies du numérique4
4IBM (United States)4
5Shanghai Jiao Tong University4
6Argonne National Laboratory3
7Centre National de la Recherche Scientifique3
8Georgia Institute of Technology3
9Pennsylvania State University3
10University of Oregon3
Countries with the most Middleware papers, 2024–2026
#CountryPapers
1United States31
2Germany14
3Canada12
4Switzerland10
5France10
6China8
7Belgium5
8Netherlands5
9United Kingdom4
10Greece4
Keywords with the most Middleware papers, 2024–2026
#KeywordPapers
1federated learning11
2serverless computing11
3edge computing8
4Byzantine fault tolerance7
5large language models7
6function-as-a-service6
7middleware6
8cloud computing5
9trusted execution environments5
10WebAssembly4

Most-cited papers#

Most-cited Middleware papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
114FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems2024-11-27Herbert Woisetschläger, Alexander Erben, Ruben Mayer et al.
212L3: Latency-aware Load Balancing in Multi-Cluster Service Mesh2024-11-27Olivier Michaelis, Stefan Schmid, Habib Mostafaei
312Guardian: Safe GPU Sharing in Multi-Tenant Environments2024-11-27Manos Pavlidakis, Giorgos Vasiliadis, Stelios Mavridis et al.
410QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation2024-11-27Akash Dhasade, Yaohong Ding, Song Guo et al.
510Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading2024-11-27Avinash Maurya, Jie Ye, M. Mustafa Rafique et al.
610vPIM: Processing-in-Memory Virtualization2024-11-27Dufy Teguia, Jiaxuan Chen, Stella Bitchebe et al.
79Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters2024-11-27Zizhao Mo, Huanle Xu, Wing Cheong Lau
88In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS2024-11-27Yuxuan Zhao, Weikang Weng, Rob V. van Nieuwpoort et al.
97XChainWatcher: Identifying Anomalies in Cross-Chain Bridges2025-12-08André Augusto, Rafael Belchior, Jonas Pfannschmidt et al.
107Towards Interoperability of APIs - an LLM-based approach2024-12-02R. C. Lehmann

Conferences in the same field#

WWW · INFOCOM · MobiCom · ASPLOS · ISCA · SIGCOMM · HPCA · PODC · SOSP · PerCom · SC · ICWS · ICDCS · MobiSys · IPDPS · EuroSys · IMC · ICS · ICCAD · DSN · HPDC · MMSys · ICSOC · RTAS · MSWIM · CoNEXT · RTSS · DISC · HotOS

Cite this page

Scholar4AI. (2026). Middleware: ACM/IFIP/USENIX International Middleware Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/middleware

@misc{scholar4ai-proceedings-middleware,
  author = {{Scholar4AI}},
  title = {Middleware: ACM/IFIP/USENIX International Middleware Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/middleware}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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