Special Issue "Edge and Cloud Computing in IoT"
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (30 August 2021).
Interests: edge/cloud computing; distributed systems; IoT and applications; blockchains
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
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Internet of Things
- edge/cloud computing continuum
- applications on IoT/edge
- QoS, security, and trust in edge computing