• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
FacebookTwitterLinkedInInstagramYoutube
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • Home

CLOSED: Call for Papers: IEEE Cloud Summit 2024

27 - 28 June 2024 | Washington DC, USA

Featured ImageFeatured Image

Important Dates

  • Paper Submission Deadline: 1 March 2024
  • Poster Submission Deadline: 15 March 2024
  • Final Paper Notification: 27 April 2024
  • Final Poster Notification: 27 April 2024
  • Camera-ready:  17 May 2024
  • Registration Deadline:  27 May 2024

About The IEEE Cloud Summit

The IEEE Cloud Summit was initialized in 2017. After seven consecutive successful years, Cloud Summit has grown to become a flagship conference with high-quality academic research presentations and industrial best practices. Cloud Summit conference features close interactions between industry and academia. It also features well-known researchers in cloud and edge computing, as well as industrial Cloud providers and practitioners.

The IEEE Cloud Summit 2024 is technically sponsored by the IEEE Computer Society Technical Committee on Cloud Computing (TCCLD) and hosted at the Catholic University of America.

In addition to keynote speeches, academic research paper presentations and poster sessions, the conference program features an industry track with invited talks and tutorials on cloud, fog, and big data techniques, as well as their applications in industries, presented by industry experts. The conference will provide networking opportunities to the stakeholders from across the world in the field of cloud and fog computing.


Paper and Posters

All accepted and presented papers/poster abstracts in IEEE Cloud Summit will be published in the conference proceedings by IEEE Computer Society’s Conference Publishing Services (CPS) and included in the IEEE Xplore.

The conference is organized with the following three tracks:

  • Track 1: Algorithm and Software

    • Machine Learning & AI with Cloud/Fog

    • Big Data Analytics

    • QoS in Cloud and Fog Computing

    • Cloud Forensics

    • Security and Privacy in Cloud/Fog

  • Track 2: System and Networking

    • Mobile Edge/Fog Computing System

    • Cloud-based Cyber-Physical System

    • Serverless Computing and Microservices

    • Cloud/Data center Networking

    • Energy/power efficiency

  • Track 3: Cloud/Edge Applications

    • Cloud Applications

    • Fog-Cloud Interaction

    • Low-Latency Edge Applications

    • Emerging Industry Products

    • Human and machine interaction

Technical Speakers

This year we are expecting to organize the industrial talks in following tracks:

AI tracks

  • MLOps

  • GenAI

  • AI for healthcare

  • AI Ethics/ Governance


Cloud Tracks

  • Security, privacy and governance

  • Cloud Infra

  • Cloud Eng

  • Cloud/AI products

Please visit the website to sign up for participation.

Submission Guidelines

Research Track

Submitted papers must be original, unpublished work and not currently under review for any other conference or journal. Authors may submit:

  • Full papers not longer than 6 pages (up to 8 pages with extra page charges)
  • Extended abstracts for posters not longer than 4 pages

All papers/extended abstracts should follow the standard IEEE double-column template. Please submit papers/extended abstracts via the online submission system.

Please indicate the type of papers for submission. Submission implies the willingness of at least one author to register and present the paper/poster at the conference if the paper/poster is accepted.

Selected papers might be invited to submit extended journal articles to a special issue of the Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA), impact factor 3.222.

LATEST NEWS
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter
Read Next

From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age