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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Energy efficient job scheduling with workload prediction on cloud data center
Xiaoyong Tang, Xiaoyi Liao, Jie Zheng, et al.
Cluster Computing (2018) Vol. 21, Iss. 3, pp. 1581-1593
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
Zheyi Chen, Jia Hu, Geyong Min, et al.
IEEE Transactions on Parallel and Distributed Systems (2019) Vol. 31, Iss. 4, pp. 923-934
Open Access | Times Cited: 140
A survey and classification of the workload forecasting methods in cloud computing
Mohammad Masdari, Afsane Khoshnevis
Cluster Computing (2019) Vol. 23, Iss. 4, pp. 2399-2424
Closed Access | Times Cited: 134
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 79
BHyPreC: A Novel Bi-LSTM Based Hybrid Recurrent Neural Network Model to Predict the CPU Workload of Cloud Virtual Machine
Md. Ebtidaul Karim, Mirza Mohd Shahriar Maswood, Sunanda Das, et al.
IEEE Access (2021) Vol. 9, pp. 131476-131495
Open Access | Times Cited: 73
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
‪R. Ghafari, F. Hassani Kabutarkhani, N. Mansouri
Cluster Computing (2022) Vol. 25, Iss. 2, pp. 1035-1093
Closed Access | Times Cited: 64
HANSEL: Adaptive horizontal scaling of microservices using Bi-LSTM
Ming Yan, Xiaomeng Liang, Zhihui Lu, et al.
Applied Soft Computing (2021) Vol. 105, pp. 107216-107216
Closed Access | Times Cited: 57
Deadline-constrained energy-aware workflow scheduling in geographically distributed cloud data centers
Mehboob Hussain, Lian-Fu Wei, Amir Rehman, et al.
Future Generation Computer Systems (2022) Vol. 132, pp. 211-222
Closed Access | Times Cited: 49
A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds
Mehboob Hussain, Lian-Fu Wei, Fakhar Abbas, et al.
Applied Soft Computing (2022) Vol. 128, pp. 109440-109440
Closed Access | Times Cited: 41
A predictive energy-aware scheduling strategy for scientific workflows in fog computing
Mohammadreza Nazeri, Mohammadreza Soltanaghaei, Reihaneh Khorsand
Expert Systems with Applications (2024) Vol. 247, pp. 123192-123192
Closed Access | Times Cited: 11
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds
Xiaoyong Tang, Wenbiao Cao, Huiya Tang, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 33, Iss. 9, pp. 2079-2092
Closed Access | Times Cited: 51
Energy-efficient VM scheduling based on deep reinforcement learning
Bin Wang, Fagui Liu, Weiwei Lin
Future Generation Computer Systems (2021) Vol. 125, pp. 616-628
Closed Access | Times Cited: 44
Workload time series prediction in storage systems: a deep learning based approach
Li Ruan, Yu Bai, Shaoning Li, et al.
Cluster Computing (2021) Vol. 26, Iss. 1, pp. 25-35
Closed Access | Times Cited: 33
Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning
Yongyi Ran, Han Hu, Yonggang Wen, et al.
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 2, pp. 1310-1323
Closed Access | Times Cited: 26
Enhancing the output of time series forecasting algorithms for cloud resource provisioning
Ferran López, Alberto Gutierrez-Torre, Jordi Torres, et al.
Future Generation Computer Systems (2025), pp. 107833-107833
Closed Access
Large-Scale Computing Systems Workload Prediction Using Parallel Improved LSTM Neural Network
Xiaoyong Tang
IEEE Access (2019) Vol. 7, pp. 40525-40533
Open Access | Times Cited: 36
Parallel random matrix particle swarm optimization scheduling algorithms with budget constraints on cloud computing systems
Xiaoyong Tang, Shi Cheng, Tan Deng, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107914-107914
Closed Access | Times Cited: 28
Reliability-aware task scheduling for energy efficiency on heterogeneous multiprocessor systems
Zexi Deng, Dunqian Cao, Hong Shen, et al.
The Journal of Supercomputing (2021) Vol. 77, Iss. 10, pp. 11643-11681
Closed Access | Times Cited: 27
Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers
Jing Bi, Haisen Ma, Haitao Yuan, et al.
IEEE Transactions on Sustainable Computing (2023) Vol. 8, Iss. 3, pp. 375-384
Closed Access | Times Cited: 12
An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment
K Dinesh Kumar, E. Umamaheswari
Computing (2023) Vol. 106, Iss. 1, pp. 1-28
Closed Access | Times Cited: 12
Prosumer data center system construction and synergistic optimization of computing power, electricity and heat from a global perspective
Dongfang Yang, Xiaoyuan Wang, Rendong Shen, et al.
Thermal Science and Engineering Progress (2024) Vol. 49, pp. 102469-102469
Closed Access | Times Cited: 4
Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads
Karthick Seshadri, Korrapati Sindhu, S. Nagesh Bhattu, et al.
IEEE Transactions on Cloud Computing (2024) Vol. 12, Iss. 2, pp. 712-724
Closed Access | Times Cited: 4
Energy-Aware Task Scheduling on Heterogeneous Computing Systems With Time Constraint
Zexi Deng, Zihan Yan, Hui-Min Huang, et al.
IEEE Access (2020) Vol. 8, pp. 23936-23950
Open Access | Times Cited: 31
CPU–GPU Utilization Aware Energy-Efficient Scheduling Algorithm on Heterogeneous Computing Systems
Xiaoyong Tang, Zhuojun Fu
IEEE Access (2020) Vol. 8, pp. 58948-58958
Open Access | Times Cited: 28
Balanced Energy-Aware and Fault-Tolerant Data Center Scheduling
Muhammad Shaukat, Waleed Alasmary, Eisa Alanazi, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1482-1482
Open Access | Times Cited: 16
Adaptive Workload Forecasting in Cloud Data Centers
Eduard Zharikov, Sergii Telenyk, Petro I. Bidyuk
Journal of Grid Computing (2019) Vol. 18, Iss. 1, pp. 149-168
Closed Access | Times Cited: 24
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