Task allocation in industrial edge networks with particle swarm optimization and deep reinforcement learning

P Buschmann, MHM Shorim, M Helm… - Proceedings of the 12th …, 2022 - dl.acm.org
To avoid the disadvantages of a cloud-centric infrastructure, next-generation industrial
scenarios focus on using distributed edge networks. Task allocation in distributed edge …

Issues, Challenges and Techniques for Resource Provisioning in Computing Environment

SR Laha, M Parhi, S Pattnaik… - … on Applied Machine …, 2020 - ieeexplore.ieee.org
Cloud computing is an emerging topic in day-to-day life among users, starting from
individuals at home to the organizations. It refers to many different types of services and …

Load balancing in cloud computing using genetic algorithm and fuzzy logic

A Saadat, E Masehian - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Cloud computing systems play a vital role in the digital age. A critical bottleneck in most
scenarios in cloud computing is the high degree of unpredictability with respect to resource …

Combination of convolutional neural network and gated recurrent unit for energy aware resource allocation

Z Khodaverdian, H Sadr, SA Edalatpanah… - arXiv preprint arXiv …, 2021 - arxiv.org
Cloud computing service models have experienced rapid growth and inefficient resource
usage is known as one of the greatest causes of high energy consumption in cloud data …

Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm

N Jagadish Kumar… - Journal of Intelligent & …, 2023 - content.iospress.com
In a cloud computing system, resources can be accessed at a minimal cost whenever users
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …

A Machine Learning Approach to Resource Management in Cloud Computing Environments

S Manam, K Moessner, P Asuquo - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
As businesses look to boost flexibility and cut costs, cloud computing is becoming more and
more popular. There is always room for improvement, despite the fact that the major cloud …

MPSO: a novel meta-heuristics for load balancing in cloud computing

S Mohanty, PK Patra, S Mohapatra… - International Journal of …, 2017 - igi-global.com
Cloud computing is gaining more popularity due to its advantages over conventional
computing. It offers utility based services to subscribers on demand basis. Cloud hosts a …

Resource allocation with workload-time windows for cloud-based software services: a deep reinforcement learning approach

X Chen, L Yang, Z Chen, G Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As the workloads and service requests in cloud computing environments change constantly,
cloud-based software services need to adaptively allocate resources for ensuring the Quality …

Driven by Artificial Intelligence (AI)–Improving Operational Efficiency and Competitiveness in Business

KŠ Makar - 2023 46th MIPRO ICT and Electronics Convention …, 2023 - ieeexplore.ieee.org
Artificial intelligence has already become a necessary factor of advanced digitalization of
companies and is one of the main prerequisites for global competitiveness and highly …

Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment

FN Al-Wesabi, M Obayya, MA Hamza… - … Informatics and Systems, 2022 - Elsevier
In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …