Call for Research/Industry Track Papers

The IEEE International Conference on Cloud Engineering (IC2E) is a premier conference on Cloud Computing, which represents a paradigm shift for the use and delivery of Information Technology (IT) that has revolutionized on-demand access to resources, economies of scale, and dynamic sourcing options. IC2E provides a high-quality and comprehensive forum where researchers and practitioners can exchange information on engineering principles, enabling technologies, and practical experiences related to Cloud Computing. The conference brings together experts who work on different levels of the cloud stack – including systems, storage, networking, platforms, databases, applications, and software engineering. IC2E offers an end-to-end view of the challenges and technologies in Cloud Computing, fosters new research that addresses the interaction between different layers of the stack, and ultimately helps shape the future of cloud-transformed business and society.

IC2E 2022 invites submissions of high-quality papers describing fully-developed results and ongoing foundational and applied work related to all aspects of cloud engineering. The IC2E Program Committee will interpret "cloud engineering" very broadly – to include everything from engineering principles to practical experiences, and advances that target different levels of the cloud stack, from both academia and industry. In particular, submissions on topics of emerging interest in the research and development communities are encouraged.

Authors can choose to submit their papers under either the Research or Industry Track. Submissions are invited on the following (non-exhaustive list) of topics for both tracks:

Cloud management and engineering

  • Big Data management, platforms, analytics
  • Energy management in cloud data centers
  • Cloud security, privacy, compliance, and trust
  • Metering, pricing, accounting, and software licensing
  • Resource management and optimization
  • Service lifecycle management, automation
  • Performance, dependability, SLAs, Quality of Service
  • Deployment and migration
  • Cloud operating models including, public, on-premises and hybrid integration
  • Monitoring, benchmarking, and testing
  • Cloud orchestration and automation
  • Software Engineering methods for cloud services and applications
  • Programming models and tools
  • Microservices
  • Cloud-based software architecture and application design
  • Operational analytics and DevOps solutions
  • Artificial Intelligence/Machine Learning supporting operation of cloud infrastructures

Cloud applications

  • Internet of Things
  • Multimedia
  • 5G/6G, mobile applications
  • Software-defined networks
  • VR/XR/AR, immersive applications
  • Location-based services
  • Artificial Intelligence and Machine Learning
  • Web and enterprise computing
  • Big data (batch, streaming, data warehouses, supporting middleware, etc.)
  • (Near) Real-time applications and services

Cloud systems

  • Cloud storage and databases, data management
  • Middleware platforms
  • Data distribution systems (messaging, pub/sub, RPC, etc.)
  • Big data systems (streams, batch, etc.)
  • Serverless computing, Function-as-a-Service
  • Platforms and services for data and analytics
  • Systems for the container ecosystem
  • Virtual machines, hypervisors

Fog and Edge Computing

  • Runtime systems, programming models, middleware, and applications
  • Data management and distribution
  • Coordination and integration with cloud platforms
  • Accelerators at the edge and core
  • Edge-cloud Artificial Intelligence and Machine Learning, federated learning
  • Mobile cloud computing
  • Security and privacy from edge to cloud
  • LEO edge computing on low earth orbit satellite networks


  • Processors, accelerators for Cloud processing
  • SGX, Trust zone, hardware security support, cloud security
  • Cloud networking
  • Runtimes, virtualization, containers, unikernels
  • Cloud economics
  • X as a Service: Backend, Business Process, Database, Infrastructure, Network, Platform, Security, Software, Storage, Artificial Intelligence/Machine Learning etc.
  • Blockchain in support of cloud services

IC2E is looking for the following three types of paper submissions:

  • Research papers describe original well-evaluated research. Novelty is a key criterion in the review process.
  • Vision papers describe speculative but well-reasoned and inspiring papers. Here, the insights and clarity of the vision are of key concern.
  • Industry and experience papers describe how existing research has been transferred into practice. The review focus is on the lessons learned, including those relevant for researchers.

Research and vision papers should be submitted to the Research Track, industry and experience papers to the Industry Track. Vision papers should have "(Vision Paper)" as a subtitle on the first page.

Submission Instructions

Authors must submit full and short papers in PDF via the Web submission form at EasyChair, upon selecting Research Track or Industry Track options. Both Research Track and Industry Track papers should use the IEEE Manuscript Template for Conference Proceedings for formatting. LaTeX users must use \documentclass[10pt,conference]{IEEEtran}, without including the compsoc or compsocconf options. As reviewers often ask for additional content, IC2E differentiates between paper formatting for reviewing and for the final published version:

  • Full papers: For reviewing, full papers (including figures and tables) should not exceed 9 double-column pages; references can be additional pages. For the final published version, full papers are limited to a total of 12 double-column pages including everything.
  • Short papers: For reviewing, short papers are limited to 5 pages, not including references, and should be clearly marked as such in the title. For the final published version, short papers are limited to 8 pages, including everything.

IC2E encourages open science practices. Therefore, authors of Research Track papers are expected to publish software and data sets as open source/data. Exceptions are possible but authors then need to briefly discuss their reasons for this in the review version of their paper. All papers should be single blind.

Review Process and Publication

All submitted manuscripts will be peer-reviewed. Depending on the paper type, submissions will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference scope. Submitted manuscripts must contain original contributions, and their contributions must not have appeared in or be under consideration for publication in another workshop, conference or journal. Exception: Full paper submissions may extend already published poster papers with no more than 2 double-column pages in IEEE layout or equivalent. Authors need to make this transparent in their paper and attach the original poster paper PDF to their submission. After review, some high-quality full paper submissions but not meeting the acceptance criteria may be offered to be published as a short paper (8 pages) or a poster (2 pages). Accepted papers will be published by the IEEE Computer Society Conference Publishing Services (EI indexed). Selected papers may be invited to submit an extended version in a journal special issue (currently under consideration).

Important Dates
  • Abstract submission deadline: March 25, 2022 April 20, 2022 (AoE)hard deadline
  • Full and short paper submission deadline: April 1, 2022 April 20, 2022 (AoE)hard deadline
  • Author notification: June 15, 2022
  • Camera-ready copies: August 13, 2022