Conference Information
EdgeCom 2020: IEEE International Conference on Edge Computing and Scalable Cloud
Submission Date:
2020-05-15 Extended
Notification Date:
Conference Date:
New York City, USA
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Conference Location
Call For Papers
Nowadays, edge computing techniques are universally used and become more powerful. The edge devices are well developed such as mobile phones, wearable devices, and IoT devices. Today edge computing has evolved to a new computing paradigm where computing tasks are completed closer to data sources (i.e. at edge) rather than in a centralized location (e.g. in cloud). Compared with cloud computing, edge computing has many advantages: 1) Services can be done without network access. 2) Users can choose not to upload private data in exchange of cloud services. 3) Real-time service with extremely low latency is possible without the overhead of moving data to the cloud. However, the restricted resources (e.g., computation, DRAM space, and battery) of edge devices bring many new challenges to edge computing as well.

IEEE Edgecom 2020 provides a forum for researchers and engineers from academia and industry to present innovative research and best practices in edge computing, discuss the opportunities and challenges that arise from rethinking cloud computing architectures and embracing edge computing. IEEE Edgecom 2020 welcomes contributions from diverse perspectives of edge computing, which include (but are not limited to) the following topics:

    Artificial Intelligence in Edge Computing
    Deep Learning in Edge Computing
    Edge computing in IoT
    Security and fault tolerance for embedded or ubiquitous systems
    Privacy protection in edge computing
    Software/Algorithm optimization for edge computing
    Cyber security in mobile embedded systems
    Edge computing infrastructure
    Workload characterization and analysis of applications running on edge devices
    Digital forensics and privacy issues in cloud computing
    Cyber monitoring approaches
    Case studies of real-world edge computing applications
    Monitoring and diagnosis tools for edge computing
    Social engineering, insider threats, advance spear phishing
    On-device artificial intelligence
    Heterogeneous clouds and vulnerabilities
    Secure methods for heterogeneous cloud resource sharing
    Architecture support for edge computing
    Cloud-based audio/video streaming techniques
    Energy efficient edge computing
    Case studies for cyber security applications
    Cloud-based real-time multimedia techniques
    New attack methods and applications
    Green cloud computing
    Quality of Service (QoS) improvements techniques
    Edge-Cloud coordinated computing
    Cloud-based sensor network and security issues
Last updated by Dou Sun in 2020-05-01
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