Conference Information
IC2E 2023: International Conference on Cloud Engineering
https://conferences.computer.org/IC2E/2023/Submission Date: |
2023-03-23 |
Notification Date: |
2023-06-15 |
Conference Date: |
2023-09-25 |
Location: |
Boston, Massachusetts, USA |
Years: |
11 |
Viewed: 13744 Tracked: 7 Attend: 0
Call For 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 that has revolutionized on-demand access to resources, economies of scale, and dynamic sourcing options. IC2E provides a high-quality, 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 2023 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 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, fog and edge platforms Cloud security, privacy, compliance, and trust Metering, pricing, accounting, and software licensing Resource management and optimization Service lifecycle management, automation Performance, dependability, Service-Level Agreements, 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 Virtual Reality/Extended Reality/Augmented Reality, 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 Low Earth Orbit edge computing on satellite networks Miscellaneous 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.
Last updated by Dou Sun in 2023-01-22
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Journal of Function Spaces | 0.451 | Hindawi |
Engineering | 7.553 | Elsevier |
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IEEE Transactions on Software Engineering | 4.778 | IEEE |
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Journal of Location Based Services | Taylor & Francis | |
Systems Engineering | 0.848 | Wiley-Blackwell |
Journal of Cryptographic Engineering | Springer | |
Visualization in Engineering | Springer |
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