[Storage-research-list] Call for Papers: 9th IEEE International Conference on Cloud Engineering (IC2E 2021)
Everton Cavalcante
everton at dimap.ufrn.br
Wed Jan 27 13:07:42 EST 2021
*Apologies for possible duplicates*
*9th IEEE International Conference on Cloud Engineering (IC2E 2021)*
October 4-8, 2021 | San Francisco, CA, USA
https://conferences.computer.org/IC2E/2021/
*Important Dates*
Abstract submission: *March 7, 2021 (AoE/GMT-12)*
Full and short paper submission: *March 15, 2021 (AoE/GMT-12)*
Author notification: *June 30, 2021*
Camera-ready submission: *July 30, 2021*
*About IC2E*
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) and has been
revolutionizing the support of on-demand access, 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 – systems, storage, networking,
platforms, databases, and applications. IC2E offers an end-to-end view of
the challenges and technologies in Cloud Computing, fosters research that
addresses the interaction between different layers of the stack, and
ultimately helps shape the future of cloud-transformed business and society.
IC2E 2021 invites submissions of high-quality research papers describing
fully-developed results and ongoing foundational and applied work related
to all aspects of cloud engineering. The Program Committee will interpret
"cloud engineering" very broadly – everything from engineering principles
to practical experiences at and across 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.
*Topics of Interest*
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 infrastructure*
- Processors, accelerators for Cloud processing: interactive, batch, and
streaming
- Cloud storage and databases, data management and distribution, middleware
- Programming models and tools
- SGX, Trust zone, hardware security support
- Multimedia Cloud Computing
- Cloud networking and 5G
- Runtimes, virtualization, containers, unikernels, serverless,
Function-as-a-Service
- Platforms and services for data and analytics
- Operational analytics and DevOps solutions
- Economics of cloud
*Cloud services and applications*
- X as a Service: Backend, Business Process, Database, Infrastructure,
Network, Platform, Security, Software, Storage, Artifical
Intelligence/Machine Learning etc.
- Microservices in the cloud
- Cloud architecture and application design
- Support for mobility
- (Near) Real-time applications and services
- Blockchain in support of cloud services
- Cloud orchestration and automation
- Software Engineering methods for cloud services and applications
- Internet of Things
*Cloud management*
- Big Data management, platforms, analytics
- Energy management in cloud centers
- Cloud security, privacy, compliance, and trust
- Metering, pricing, and software licensing
- Resource management and optimization
- Service lifecycle management, automation
- Performance, dependability, SLAs, Quality of Service
- Deployment and migration
- Resource management and accounting
- Cloud operating models including, public, on-premises and hybrid
integration
- Monitoring, benchmarking, and testing
*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
- Artificial Intelligence and Machine Learning at the core and edge,
federated learning
- Mobile cloud computing
*Submission Instructions*
Authors must submit full and short papers in PDF via the Web submission
form at EasyChair, upon selecting the Research or Industry Track. Both
Research and Industry Track papers should use the IEEE Manuscript Template
for Conference Proceedings
<https://www.ieee.org/conferences/publishing/templates.html> for
formatting. LaTeX users must use \documentclass[10pt,conference]{IEEEtran},
without including the compsoc or compsocconfoptions. *Full papers should
not exceed 10 double-column pages*, including figures, and tables, and
references can be additional pages. *Short papers are limited to 6 pages*,
not including references, and should be clearly marked as such in the
title. Authors of research papers are highly encouraged to publish software
and data sets as open source/data. All papers should be single blind.
*Review Process and Publication*
All submitted manuscripts will be peer-reviewed. 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. After review, some high quality
full paper submissions but not meeting the acceptance criteria may be
offered to be published as a short paper (6 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).
*IC2E 2021 Organizing Committee*
*General Chairs*
- David Bermbach(Technische Universität Berlin, Germany)
- Chandra Krintz (University of California, Santa Barbara, USA)
*Program Chairs*
- Anirüddhā Gokhālé (Vanderbilt University, USA)
- Lydia Chen (Technische Universiteit Delft, The Netherlands)
*Industry Track Chairs*
- Aleksander Slominski (IBM Thomas J. Watson Research Center, USA)
- Shruti Ramesh (Microsoft Azure, USA)
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