Results 31 to 40 of about 2,946 (252)

Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres

Journal of Cloud Computing: Advances, Systems and Applications, 2018
Data center power consumption is among the largest commodity expenditures for many organizations. Reduction of power used in cloud data centres with heterogeneous physical resources can be achieved through Virtual-Machine (VM) consolidation which reduces
Salam Ismaeel, Raed Karim, Ali Miri
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

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
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

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

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

Follow the WhiteRabbit: Towards Consolidation of On-the-Fly Virtualization and Virtual Machine Introspection [PDF]

, 2018
The growing complexity of modern malware drives security applications to leverage Virtual Machine Introspection (VMI), which provides a complete and untainted view over the Virtual Machine state. To benefit from this ability, a VMI-aware Virtual Machine Monitor (VMM) must be set up in advance underneath the target system; a constraint for the massive ...
Sergej Proskurin, Julian Kirsch, Apostolis Zarras   +2 more
openaire   +3 more sources

Energy-Aware Virtual Machine Consolidation for Cloud Data Centers [PDF]

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, 2014
One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption while meeting the quality of service (QoS) requirement ...
Dabiah Ahmed Alboaneen, Bernardi Pranggono, Huaglory Tianfield   +2 more
openaire   +2 more sources

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

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