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Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Cloud programming simplified: A berkeley view on serverless computing
Serverless cloud computing handles virtually all the system administration operations
needed to make it easier for programmers to use the cloud. It provides an interface that …
needed to make it easier for programmers to use the cloud. It provides an interface that …
A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
A survey on mobile edge computing: The communication perspective
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …