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USENIX

USENIX Conference on File and Storage Technologies (FAST)

Location: Santa Clara , United States

Submission deadline: 9/22/2022

Conference dates: 2/20/2023 - 2/23/2023

Research H-index
13

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 266 25 27 13

Call for Papers

Topics of interest to FAST should include files and/or storage, and may overlap with other topics including, but not limited to:

Archival systems
Auditing and provenance
Big data, analytics, and data sciences
Caching, replication, and consistency
Cloud, multi- and hybrid-cloud environments
Data deduplication
Database storage
Distributed and networked storage (wide-area, grid, peer-to-peer)
Emerging memory hierarchy design
Empirical evaluation
Experience with deployed systems
File system design
HPC systems (including parallel I/O)
Key-value and NoSQL storage
Management
Memory-only storage systems
Mobile, personal, embedded, and home storage
Networking
Novel and emerging storage technologies (e.g., byte-addressable NVM, flash, SMR, IMR, DNA storage, glass)
Performance and QoS
Power-aware storage architectures
RAID and erasure coding
Reliability, availability, and disaster tolerance
Search and data retrieval
Security

Overview

The scientific conference ranking presented on this page is dedicated to conferences in the field of Computer Science and has been meticulously developed by Research.com, a leading authority in science research across all major disciplines. Since 2014, Research.com has been renowned for providing trusted and comprehensive data on scientific contributions, including advanced research analytics for the Computer Science community.

The ranking positions were determined using a unique bibliometric score, an innovative metric devised by Research.com. This score is calculated based on the estimated h-index of each conference and the number of leading scientists who have contributed to the conference over the previous three years. Such a methodology ensures a multifaceted assessment of conference impact, accounting for scientific excellence and the depth of scholarly participation.

The Impact Score values provided in this ranking were gathered as of 2024-11-27, reflecting the most up-to-date and robust evaluation possible. The comprehensive process of creating this ranking entailed a thorough examination of more than 2,742 conferences. These conferences were carefully selected following a rigorous review of over 148,739 scientific documents, each published within the last three years by 13,184 renowned and respected scientists dedicated to advancing the field of Computer Science.

To learn more about the in-depth methodology and analytical framework employed in computing the ranking scores, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at File and Storage Technologies (based on the number of publications) are:

  • Remzi H. Arpaci-Dusseau (27 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Andrea C. Arpaci-Dusseau (25 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Erez Zadok (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Vasily Tarasov (10 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Philip Shilane (8 papers) published 1 paper at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at File and Storage Technologies (based on the number of publications) are:

  • University of Wisconsin-Madison (31 papers) published 3 papers at the last edition the same number as at the previous edition,
  • IBM (27 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Microsoft (19 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Stony Brook University (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Tsinghua University (14 papers) published 6 papers at the last edition, 3 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 48.28% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.24% of all publications and 13.79% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

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