Results 31 to 40 of about 2,959 (253)

Intermediate node selection for Scatter-Gather VM migration in cloud data center

Engineering Science and Technology, an International Journal, 2020
Virtual machine migration is used in cloud computing for server consolidation, system maintenance, opportunistic power savings, and load balancing. Scatter-Gather VM live migration is a new type of virtual machine migration.
Chakravarthy Sudarshan Annadanam, Sudhakar Chapram, Ramesh T   +2 more
doaj   +1 more source

VM Consolidation Plan for Improving the Energy Efficiency of Cloud

Cybernetics and Information Technologies, 2021
Achieving energy-efficiency with minimal Service Level Agreement (SLA) violation constraint is a major challenge in cloud datacenters owing to financial and environmental concerns.
Satveer, Aswal Mahendra Singh
doaj   +1 more source

Q-Learning based VM Consolidation Approach for Enhancing Cloud Data Centres Power Efficiency [PDF]

E3S Web of Conferences
Energy consumption has become a common problem since days. Addressing the energy related problem is a challenging task. There are various strategies present to minimize this problem.
Baikani Sreenithya, Bharde Hitesh Dutt, Chennamaneni Jashwanth, R Karthikeyan, MA Jabbar, Majjari Sudhakar   +5 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Robust Linear Regression Prediction Model

IEEE Access, 2019
Virtual machine (VM) consolidation provides a promising approach to save energy and to improve resource utilization in data centers. However, the aggressive consolidation of virtual machines may lead to service-level agreements (SLA) violation, which is ...
Lianpeng Li, Jian Dong, Decheng Zuo, Jin Wu   +3 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework

Journal of Cloud Computing: Advances, Systems and Applications, 2019
One of the main challenges in cloud computing is an enormous amount of energy consumed in data-centers. Several researches have been conducted on Virtual Machine(VM) consolidation to optimize energy consumption.
Fikru Feleke Moges, Surafel Lemma Abebe
doaj   +1 more source

Research on Resource Management in Cloud Data Center Based on Virtual Machine Consolidation [PDF]

Jisuanji gongcheng, 2016
Dynamic consolidation of Virtual Machines(VM) is a means of resource management in cloud data centers.By using live migration of virtual machines for those overloaded or underloaded Physical Machines(PM) and switching idle nodes to the sleep mode with ...
WANG Ting,DONG Qiwen,FAN Feifei
doaj   +1 more source