AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Vnf and cnf placement in 5g: Recent advances and future trends

W Attaoui, E Sabir, H Elbiaze… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Tranad: Deep transformer networks for anomaly detection in multivariate time series data

S Tuli, G Casale, NR Jennings - arxiv preprint arxiv:2201.07284, 2022 - arxiv.org
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 …

HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments

S Iftikhar, MMM Ahmad, S Tuli, D Chowdhury, M Xu… - Internet of Things, 2023 - Elsevier
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 …

HUNTER: AI based holistic resource management for sustainable cloud computing

S Tuli, SS Gill, M Xu, P Garraghan, R Bahsoon… - Journal of Systems and …, 2022 - Elsevier
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 …

faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms

P Raith, T Rausch, A Furutanpey… - Software: Practice and …, 2023 - Wiley Online Library
This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
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

N Khaledian, K Khamforoosh, R Akraminejad… - computing, 2024 - Springer
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 …

[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges

S Tuli, F Mirhakimi, S Pallewatta, S Zawad… - Journal of Network and …, 2023 - Elsevier
In recent years, the landscape of computing paradigms has witnessed a gradual yet
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

M Maiti, D Vuković, A Mukherjee… - Software: Practice …, 2022 - Wiley Online Library
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 …

Energy-efficient and secure load balancing technique for SDN-enabled fog computing

J Singh, P Singh, EM Amhoud, M Hedabou - Sustainability, 2022 - mdpi.com
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 …