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 …
Multi-UAV collaborative absolute vision positioning and navigation: A survey and discussion
P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet …
Research background: The article explores the integration of Artificial Intelligence (AI) in
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …
[HTML][HTML] The role of microservice approach in edge computing: Opportunities, challenges, and research directions
Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …
data processing and analysis closer to the data source and boosts decision-making …
Toward the observability of cloud-native applications: The overview of the state-of-the-art
The Cloud-native model, established to enhance the Twelve-Factor patterns, is an approach
to develo** and deploying applications according to DevOps concepts, Continuous …
to develo** and deploying applications according to DevOps concepts, Continuous …
[HTML][HTML] AIDA—A holistic AI-driven networking and processing framework for industrial IoT applications
Industry 4.0 is characterized by digitalized production facilities, where a large volume of
sensors collect a vast amount of data that is used to increase the sustainability of the …
sensors collect a vast amount of data that is used to increase the sustainability of the …
DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks
The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …
the optimal placement locations for diverse service replicas that constitute an Internet of …
Microservice root cause analysis with limited observability through intervention recognition in the latent space
Z ** DevOps capabilities to the software life cycle: A systematic literature review
Context: Many IT organizations are looking towards DevOps to make their software
development and delivery processes faster and more reliable, while DevOps revolutionized …
development and delivery processes faster and more reliable, while DevOps revolutionized …