Results 41 to 50 of about 54,200 (159)

Resource Scheduling in ORCA for Next-Generation Mobile Networks: A Survey and Future Outlook

IEEE Access
The immense growth of mobile and IoT traffic is pushing the surging data demand beyond the traditional mobile network architectures towards a new domain of architectures, i.e., converged optical and radio networks (ORCA).
Sandra Arnaout, Md Arifur Rahman, Md Munjure Mowla, Adam Flizikowski, Slawomir Hausman, Piotr Korbel, Zoran Vujicic   +6 more
doaj   +1 more source

Data-Driven Evolutionary Resource Allocation for Vehicle–UAV Collaborative Inspection with Path-Scheduling Feedback

Technologies
To address the challenges of strong coupling between resource allocation and collaborative scheduling in vehicle–UAV cooperative inspections of power distribution lines, as well as the difficulty in balancing efficiency and stability, this paper proposes
Kunxiao Wu, Jianyong Zheng, Yuting Ding, Xiaoyi Liu, Yuhan Yin   +4 more
doaj   +1 more source

Customized Container Scheduling Strategy Based on GMM [PDF]

Jisuanji kexue
In cloud computing environments,as the number and types of containers continue to increase,resource management and scheduling complexity are increased.How to effectively schedule containers and optimize resource utilization and cluster perfor-mance has ...
ZHOU Kai, WANG Kai, ZHU Yuhang, PU Liming, LIU Shuxin, ZHOU Deqiang
doaj   +1 more source

Job scheduling reservations on cloud resources

IJAIN (International Journal of Advances in Intelligent Informatics)
The current application of cloud computing focuses more on research problems. One of the main problems in the cloud is job allocation. Jobs are dynamically allocated to server processors. All cloud virtualized hardware is available to users on demand and
Ardi Pujiyanta, Fiftin Noviyanto
doaj   +1 more source

Adaptive scheduling strategy for cloud computing resources based on Q-learning algorithm

Mechanics & Industry
Given the frequently varying loads of virtual machines and swift variations in resource demand in a cloud computing environment, this article introduces an adaptive resource scheduling strategy model based on Q-learning.
Xu Jiaxing, Gao Xiaofei, Gao Ningyuan
doaj   +1 more source

On Resource Efficiency of Workflow Schedules

Procedia Computer Science, 2014
AbstractThis paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the resource efficiency of a workflow schedule generated by any particular scheduling algorithm. The inefficiency in resource usage of workflow execution/schedule is not only in the number of resources used, but also the actual amount of “used” resource time ...
Young Choon Lee, Hyuck Han, Albert Y. Zomaya   +2 more
openaire   +1 more source

GPS: A Lightweight Greedy-Predictive Scheduling Approach for Energy-Aware Multi-Region Cloud Computing

Future Internet
Efficient resource allocation and task scheduling remain fundamental challenges in cloud computing because of resource heterogeneity, dynamic workload characteristics, and the increasing demand for scalable, energy-efficient, and sustainable cloud ...
Mohamed F. Yacoub, Ahmed E. Abdel Raouf, Walaa Gad, Nagwa L. Badr   +3 more
doaj   +1 more source

The Airfield Resource Scheduling Problem-Part Ⅱ:Development Status and Trends

Hangkong gongcheng jinzhan, 2019
Maximizing the utilization and benefit of airport resource has become a common goal of air transport stakeholders, including air navigation service providers, airports, airlines, passengers and governments.This work focuses on the development status and ...
Yin Jianan, Ma Yuanyuan, Hu Minghua
doaj   +1 more source

Trust-aware dynamic level scheduling algorithm in cloud environment

Tongxin xuebao, 2014
Based on interpersonal trust model in sociology，a trust evaluation model is proposed based on users’ past experience with service provider，friends’ recommendations and third party’s feedback.By combining users’ trust requirement for service resource ...
Jie CAO, Guo-sun ZENG, Huo-wen JIANG, Hai-ying MA   +3 more
doaj   +2 more sources

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findings

BMJ Open
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room (OR) resources and affecting patient outcomes and healthcare spending.
Monika Kastner, Julie Makarski, Bheeshma Ravi, Aazad Abbas, Elias B Khalil, Cari M Whyne, Isabella Herrington, Divya Mathura, Johnathan R Lex   +8 more
doaj   +1 more source