Current Status and Development Direction of Cloud Computing Application in IoT
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 February 2025 | Viewed by 129
Special Issue Editors
Interests: channel coding; multimedia communications; cloud computing; Internet of Things; big-data computing
Interests: application of artificial intelligence in environmental pollution forecasting; big data analysis; ensemble learning; information fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Driven by the need for data collection and analysis in IoT applications, the integration of cloud computing and IoT has become an inevitable trend. Consequently, numerous cloud providers, telecom companies, and computer vendors worldwide have introduced solutions that enable cloud platforms to support IoT ecosystems. This convergence represents a paradigm shift, transforming industries and driving innovation. The emergence of edge computing and fog computing has further strengthened the capabilities of the aforementioned technology combinations, and the integration of these technologies enables unprecedented capabilities, including high levels of automation and intelligence, real-time data processing, scalable storage solutions, and enhanced connectivity.
This Special Issue, titled "Current Status and Development Direction of Cloud Computing Application in IoT," aims to provide a comprehensive overview of the latest advancements, challenges, and future directions in this dynamic field, and seeks original unpublished papers addressing recent advancements and research results in the design and development for the convergence of cloud computing and IoT. Researchers and professionals from academia or industry are encouraged to take this opportunity to discuss the recent advances, prevailing trends, possible challenges, cutting-edge solutions, and real-world examples in this field. Possible topics to be covered in this Special Issue include, but are not limited to, the following:
- Scalability and flexibility of IoT-enabled cloud platforms;
- Fault tolerance and reliability of IoT-enabled cloud platforms;
- Resource management and scheduling for IoT-enabled cloud platforms;
- Protocol and communication network aspects for IoT-enabled cloud platforms;
- Latency, QoS and bandwidth management over IoT-enabled cloud platforms;
- Service level agreements for IoT-enabled cloud platforms;
- Edge and fog computing for IoT applications;
- Cloud data storage and management for IoT;
- Real-time data processing or analysis on IoT-enabled cloud platforms;
- Artificial intelligence and machine learning for cloud-based IoT applications;
- Generative AI applications for cloud-based IoT environments;
- Enhanced security and data privacy for IoT-enabled cloud systems;
- Blockchain technologies for IoT ecosystems over cloud;
- Standardization efforts for IoT-enabled cloud platforms;
- Green computing and energy efficiency issues;
- Regulation compliance for cloud-based IoT applications, particularly in sectors such as healthcare and finance;
- Case studies and applications, for example: smart cities, traffic and vehicle management, ecology and environmental protection, healthcare, robotics, industrial IoT, agriculture, retail, risk assessment, finance and insurance applications.
Dr. Hsin-Ta Chiao
Prof. Dr. Yue-Shan Chang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- Artificial Intelligence of Things (AIoT)
- IoT-enabled cloud
- edge and fog computing
- QoS management
- security and data privacy
- green computing
- standardization
- regulation
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