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A joint study of the challenges, opportunities, and roadmap of mlops and aiops: A systematic survey
Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …
AI-enhanced cloud-edge-terminal collaborative network: Survey, applications, and future directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Meeting the requirements of internet of things: The promise of edge computing
Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …
within the Industries and Academics. Primarily, IoT devices are characterized by small and …
Cooperative transmission scheduling and computation offloading with collaboration of fog and cloud for industrial IoT applications
Energy consumption for large amounts of delay-sensitive applications brings serious
challenges with the continuous development and diversity of Industrial Internet of Things …
challenges with the continuous development and diversity of Industrial Internet of Things …
Computation time minimized offloading in NOMA-enabled wireless powered mobile edge computing
Wireless powered mobile edge computing (WP-MEC), which combines mobile edge
computing (MEC) and wireless power transfer (WPT), is a promising paradigm for co** …
computing (MEC) and wireless power transfer (WPT), is a promising paradigm for co** …
Fog computing for energy-efficient data offloading of IoT applications in industrial sensor networks
Fog computing has recently emerged to in-situ processing and energy-aware data
offloading of Internet of Things (IoT) applications in the industrial sensor networks. Besides …
offloading of Internet of Things (IoT) applications in the industrial sensor networks. Besides …
Joint online optimization of data sampling rate and preprocessing mode for edge–cloud collaboration-enabled industrial IoT
Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …
[HTML][HTML] A novel routing protocol for underwater wireless sensor networks based on shifted energy efficiency and priority
Abstract Underwater Wireless Sensor Networks (UWSNs) are among the most promising
research areas these days due to their unique characteristics and diverse underwater …
research areas these days due to their unique characteristics and diverse underwater …
Deep reinforcement learning in edge networks: Challenges and future directions
Driven by the perception of IoT applications and advanced communication technologies,
including beyond 5G and 6G, recent years have seen a paradigm shift from traditional cloud …
including beyond 5G and 6G, recent years have seen a paradigm shift from traditional cloud …
Distributed service provisioning with collaboration of edge and cloud in industry 5.0
Industry 5.0 aims to elevate industrial operations, businesses, and revolution to new heights
by promoting sustainable, resilient, and human-centric practices. The popularity of Industry …
by promoting sustainable, resilient, and human-centric practices. The popularity of Industry …