AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Vnf and cnf placement in 5g: Recent advances and future trends
With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …
Tranad: Deep transformer networks for anomaly detection in multivariate time series data
Efficient anomaly detection and diagnosis in multivariate time-series data is of great
importance for modern industrial applications. However, building a system that is able to …
importance for modern industrial applications. However, building a system that is able to …
HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments
Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …
solutions to a variety of different problems. The massive shift of organization resource needs …
HUNTER: AI based holistic resource management for sustainable cloud computing
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous
demand for hosting application services on the cloud. Further, contemporary data-intensive …
demand for hosting application services on the cloud. Further, contemporary data-intensive …
faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms
This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …
platforms. In serverless computing, platform operators are tasked with efficiently managing …
An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment
Abstract The Internet of Things (IoT) is constantly evolving. The variety of IoT applications
has caused new demands to emerge on users' part and competition between computing …
has caused new demands to emerge on users' part and competition between computing …
[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
Advanced data integration in banking, financial, and insurance software in the age of COVID‐19
This study contributes to our understanding of how the emergence of the COVID‐19
pandemic changes the global Banking Financial Services and Insurance (BFSI) landscape …
pandemic changes the global Banking Financial Services and Insurance (BFSI) landscape …
Energy-efficient and secure load balancing technique for SDN-enabled fog computing
The number of client applications on the fog computing layer is increasing due to
advancements in the Internet of Things (IoT) paradigm. Fog computing plays a significant …
advancements in the Internet of Things (IoT) paradigm. Fog computing plays a significant …