Edge and Cloud Computing in IoT
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".
Deadline for manuscript submissions: closed (30 August 2021) | Viewed by 13923
Special Issue Editors
Interests: edge/cloud computing; distributed systems; IoT and applications; blockchains
Special Issues, Collections and Topics in MDPI journals
Interests: edge-cloud continuum; performance modeling; machine learning; data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern approaches on edge computing allow the data produced by Internet of Things (IoT) devices to be processed closer to where they are created, instead of sending them across long routes to data centres or clouds. Performing this computing closer to the edge of the network enables organisations to run near real-time analysis of important data—a need of organisations across many domains, including manufacturing, healthcare, telecommunications, and finance. The disruptive potential of edge computing is fuelled by the unprecedented growth of data, the imminent impact of 5th Generation (5G) networks, the growing importance of latency in modern applications, and the emergence of a distributed computing architecture that favours specialised hardware, like GPUs, and offloads techniques to be covered by cloud infrastructures.
However, the new computing model on the edge needs to address the forthcoming massive usage of edge computing resources in the frame of large IoT deployments in smart cities and industrial applications. Essentially, the main goal in such scenarios is to ensure that the overall offered Quality of Service (QoS) fits the application needs over the edge or edge/cloud deployment. Speed and latency issues have been identified as the primary barrier in this domain, while cost and reliability (meeting the provider Service Level Agreements—SLAs), and trust of edge devices, are important factors for evaluating edge and cloud services in the computing continuum.
We welcome original contributions covering the following topics:
- IoT/ edge/cloud computing architectures.
- CPU/GPU and hardware in edge computing.
- Edge computing for industrial internet and systems.
- Cloud and fog computing environments.
- Cloud and edge load balancing and offloading techniques.
- AI-enabled edge computing.
- Industrial applications on edge computing and IoT.
- Edge computing for ad-hoc and sensor networks.
- Edge and fog scheduling.
- Managing extensive edge computing based services.
- Performance modelling and evaluation.
- QoS/QoE management in the edge/cloud.
- Security and privacy in the cloud-edge hierarchy.
- Green edge/cloud computing.
- SLAs and trust and reputation in edge computing.
- Scientific workflows on clouds.
- Mobile clouds and mobile edge computing.
- Big data/complex event processing in the cloud-edge hierarchy.
- Cloud continuum–IoT/smart cities integration.
- Blockchains and DLTs on the edge.
Dr. Antonios Litke
Dr. Konstantinos Tserpes
Guest Editors
Manuscript Submission Information
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Keywords
- Internet of Things
- edge/cloud computing continuum
- applications on IoT/edge
- QoS, security, and trust in edge computing
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