Results 41 to 50 of about 277,718 (342)

Deep Reinforcement Learning Task Scheduling Method for Real-Time Performance Awareness

IEEE Access
Load balancing is essential for the efficient delivery of cloud computing services, ensuring stable operation and robust performance under high load conditions.
Jinming Wang, Shaobo Li, Xingxing Zhang, Keyu Zhu, Cankun Xie, Fengbin Wu   +5 more
doaj   +1 more source

Two-Stage Optimal Scheduling of Regional Integrated Energy System Considering V2 G Response of Electric Buses

Zhongguo dianli, 2022
Aiming at the problems of wind and photovoltaic power curtailment and total electrical load fluctuation caused by high permeability renewable energy and electric buses access to the system, a two-stage optimal scheduling method of regional integrated ...
Zichun YU, Hong FAN, Shiwei XIA
doaj   +1 more source

Load Balancing Scheduling with Shortest Load First

International Journal of Grid and Distributed Computing, 2015
Cloud computing is an internet based technology. This computing paradigm has increased the utility of network where the potentiality of one node can be used by Other node, cloud provides services on demand to distributive resources such as Database, servers, software, infrastructure etc.
Ranjan Kumar Mondal, Enakshmi Nandi, Debabrata Sarddar   +2 more
openaire   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Parallel machine scheduling with tool loading

Applied Mathematical Modelling, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ozpeynirci, Selin, Gokgur, Burak, Hnich, Brahim   +2 more
openaire   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system

Energy Informatics
To improve the adaptability of grid load collaborative scheduling, a multi-objective collaborative scheduling method based on a simulated annealing algorithm for the load storage of grid loads on the load side of a new power system is proposed. Local bus
Xinming Wang, Huayang Liang, Xiaobo Jia, Shihui Li, Shengyang Kang, Yan Gao   +5 more
doaj   +1 more source

Network Utilization Improvement via a Predictive Load Scheduling Scheme in Heterogeneous Wireless Networks

International Journal of Distributed Sensor Networks, 2015
In heterogeneous wireless networks (HWNs), the large-coverage cellular networks are usually overlaid with denser small-coverage microcells, wireless local area networks (WLANs), femtocells, and even relays.
Bin Fang, Wuyang Zhou
doaj   +1 more source

A Wind-Solar-Electric Vehicles Coordination Scheduling Method for High Proportion New Energy Grid-Connected Scenarios

Shanghai Jiaotong Daxue xuebao, 2022
Wind-solar-electric vehicles coordinated optimization scheduling can effectively reduce the adverse effects of multiple uncertainties of wind-solar output and disorderly charging of electric vehicles on the power system. Most of the existing optimization
LI Linyan, HAN Shuang, QIAO Yanhui, LI Li, LIU Yongqian, YAN Jie, LIU Haidong
doaj   +1 more source

PGGA: A predictable and grouped genetic algorithm for job scheduling [PDF]

, 2006
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimation algorithm is designed to estimate a job workload based on its historical execution records, (2 ...
Li, M, Qi, M, Yu, B
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