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AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …
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
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 …
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 …
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 …
most promising lightweight virtualization solution for cloud services, particularly in …
Chatbot for training and assisting operators in inspecting containers in seaports
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 …
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 …
computational power. Diverse task configuration requirements, the heterogeneous nature …
A neural network framework for optimizing parallel computing in cloud servers
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 …
Cloud servers. One approach widely employed to enhance the execution of parallel …
A systematic literature review on maintenance of software containers
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 …
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
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 …
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
Scientific workflows are a common and critical part of scientific computing, involving complex
computations and oversized and distributed computing resources. Efficient workflow …
computations and oversized and distributed computing resources. Efficient workflow …