AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review

N Khaledian, M Voelp, S Azizi, MH Shirvani - Cluster Computing, 2024 - Springer
Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

Bio-inspired algorithms for cybersecurity-a review of the state-of-the-art and challenges

KT Chui, RW Liu, M Zhao… - International Journal of …, 2024 - inderscienceonline.com
It is witnessed that the popularity of the research in cybersecurity using bio-inspired
algorithms (a key subset of natural algorithms) is ever-growing. As an emergent research …

Efficient job scheduling paradigm based on hybrid sparrow search algorithm and differential evolution optimization for heterogeneous cloud computing platforms

MI Khaleel - Internet of things, 2023 - Elsevier
The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

Using light weight container a mesh based dynamic allocation task scheduling algorithm for cloud with IoT network

S Shakya, P Tripathi - International Journal of Information Technology, 2024 - Springer
Due to their flexible deployment, portability, and scalability, containers have emerged as the
most promising lightweight virtualization solution for cloud services, particularly in …

Chatbot for training and assisting operators in inspecting containers in seaports

S Colabianchi, M Bernabei, F Costantino - Transportation Research …, 2022 - Elsevier
The paper presents the chatbot applicability for the health and safety of workers in the
container transportation context. Starting from a literature review of risks and hazardous …

Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud

S Wang, Y Duan, Y Lei, P Du, Y Wang - Computing, 2024 - Springer
Multi-workflows are commonly deployed on cloud platforms to achieve efficient
computational power. Diverse task configuration requirements, the heterogeneous nature …

A neural network framework for optimizing parallel computing in cloud servers

EC de Lima, FD Rossi, MC Luizelli… - Journal of Systems …, 2024 - Elsevier
Energy efficiency has become a major focus in optimizing hardware resource usage for
Cloud servers. One approach widely employed to enhance the execution of parallel …

A systematic literature review on maintenance of software containers

R Malhotra, A Bansal, M Kessentini - ACM Computing Surveys, 2024 - dl.acm.org
Nowadays, cloud computing is gaining tremendous attention to deliver information via the
internet. Virtualization plays a major role in cloud computing as it deploys multiple virtual …

Security, reliability, cost, and energy-aware scheduling of real-time workflows in compute-continuum environments

A Taghinezhad-Niar, J Taheri - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
Emerging computing paradigms like mist, edge, and fog computing address challenges in
the real-time processing of vast Internet of Things (IoT) applications. Alongside, cloud …

Toward optimizing scientific workflow using multi-objective optimization in a cloud environment

S Ghafir, MA Alam, F Siddiqui, S Naaz… - Cogent …, 2024 - Taylor & Francis
Scientific workflows are a common and critical part of scientific computing, involving complex
computations and oversized and distributed computing resources. Efficient workflow …