Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
Machine learning for service migration: a survey
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …
requirements to accommodate the application and user demands. Indeed, novel immersive …
Towards accurate prediction for high-dimensional and highly-variable cloud workloads with deep learning
Resource provisioning for cloud computing necessitates the adaptive and accurate
prediction of cloud workloads. However, the existing methods cannot effectively predict the …
prediction of cloud workloads. However, the existing methods cannot effectively predict the …
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center
This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
Self directed learning based workload forecasting model for cloud resource management
Workload prediction plays a vital role in intelligent resource scaling and load balancing that
maximize the economic growth of cloud service providers as well as users' quality of …
maximize the economic growth of cloud service providers as well as users' quality of …
Review and classification of bio-inspired algorithms and their applications
Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …
solutions for complex real-world problems. The study of bionics bridges the functions …
A resource utilization prediction model for cloud data centers using evolutionary algorithms and machine learning techniques
Cloud computing has revolutionized the modes of computing. With huge success and
diverse benefits, the paradigm faces several challenges as well. Power consumption …
diverse benefits, the paradigm faces several challenges as well. Power consumption …
Biphase adaptive learning-based neural network model for cloud datacenter workload forecasting
Cloud computing promises elasticity, flexibility and cost-effectiveness to satisfy service level
agreement conditions. The cloud service providers should plan and provision the computing …
agreement conditions. The cloud service providers should plan and provision the computing …
Energy consumption prediction using machine learning; a review
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …
advancement of the prediction models used for energy consumption. Such models highly …
Efficient VM migrations using forecasting techniques in cloud computing: a comprehensive review
M Masdari, H Khezri - Cluster Computing, 2020 - Springer
High cost of data centers' energy consumption and its environmental effects such as CO 2
emissions have inspired numerous researches to provide more efficient VM management …
emissions have inspired numerous researches to provide more efficient VM management …