Výsledky vyhledávání - Reducing Prediction Error in Cloud Computing

An Improved Task Allocation Strategy in Cloud using Modified K-means Clustering Technique Autor Sharma, Vrajesh, Bala, Manju

“…In the present era, cloud computing has earned much popularity, mainly because of its utilities and relevance with the current technological trends…”
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An optimized hybrid FFOA–DTL framework for energy consumption prediction in cloud computing Autor Atiyah, Habeeb naji, Barzegar, Behnam, soltanaghaei, Mohammadreza, Fakhruldeen, Hassan Falah

“…Despite the popularity and availability of a wide range of cloud service providers, cloud computing still faces a major challenge…”
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Intelligent digital-twin prediction and reverse control system architecture for thermal errors enabled by deep learning and cloud-edge computing Autor Liu, Jialan, Ma, Chi, Gui, Hongquan, Wang, Shilong

“… To solve above issues, a new intelligent digital-twin prediction and reverse control system is designed for thermally induced errors based on the user-edge-cloud architecture to expedite the executing efficiency…”
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Real2Sim2Real for Point Cloud-Based mmWave Link Quality Prediction: An Empirical Study Autor Ohta, Shoki, Nishio, Takayuki, Kudo, Riichi, Takahashi, Kahoko, Nagata, Hisashi

“… a small real-world dataset and computer simulation. Experimental results reveal that our method can reduce prediction errors even with a small sample of real-world datasets for fine-tuning compared with previous pre-training methods using manually created 3D simulation models…”
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A novel approach for CPU load prediction of cloud server combining denoising and error correction Autor You, Deguang, Lin, Weiwei, Shi, Fang, Li, Jianzhuo, Qi, Deyu, Fong, Simon

“… Noise in the energy consumption data is often a detrimental factor responsible for the CPU load prediction error…”
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Efficient algorithm for error optimization and resource prediction to mitigate cost and energy consumption in a cloud environment Autor Sangani, Sangeeta, Patil, Rudragoud, Goudar, R. H.

“…As cloud computing continues to grow, the energy consumption of cloud-edge resources has become a concern, particularly in terms of cost of energy and environmental effects…”
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Thermal error prediction and control method combining residual-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture Autor Luo, Fangqiong, Ma, Chi, Liu, Jialan, Gui, Hongquan, Li, Mengyuan

“…The geometric precision of machined parts is greatly reduced due to thermal errors, thereby the thermal errors should be controlled and compensated timely to improve the machining accuracy…”
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Intrusion detection in cloud computing based on time series anomalies utilizing machine learning Autor Al-Ghuwairi, Abdel-Rahman, Sharrab, Yousef, Al-Fraihat, Dimah, AlElaimat, Majed, Alsarhan, Ayoub, Algarni, Abdulmohsen

“…The growth of cloud computing is hindered by concerns about privacy and security…”
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Intelligent prediction method for power generation based on deep learning and cloud computing in big data networks Autor Zhou, Zhaolong

“…This paper aims to elevate the precision and efficiency of prevailing photovoltaic prediction algorithms by integrating deep learning and cloud computing techniques…”
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SWEP-RF: Accuracy sliding window-based ensemble pruning method for latent sector error prediction in cloud storage computing Autor Adnan Tahir, Fei Chen, Abdulwahab Ali Almazroi, Nourah Fahad Janbi

“…Latent sector errors (LSEs) in disk drives cause significant outages, data loss, and unreliability in large-scale cloud storage systems, posing…”
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Optimized Energy Efficient Strategy for Data Reduction Between Edge Devices in Cloud-IoT Autor Mukherjee, Dibyendu, Ghosh, Shivnath, Pal, Souvik, Akila, D., Z. Jhanjhi, N., Masud, Mehedi, A. AlZain, Mohammed

“… In the initial stage of OEES, before the transmission state, the data gathered from edge devices are supported by a fast error like reduction that is regarded…”
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Toward All-Sky Assimilation of Microwave Temperature Sounding Channels in Environment Canada’s Global Deterministic Weather Prediction System Autor Shahabadi, Maziar Bani, Buehner, Mark

“…). Assimilation of cloud-affected radiances from Advanced Microwave Sounding Unit-A (AMSU-A) temperature sounding channels 4 and 5 for non-precipitating scenes over the ocean surface is the focus of this study…”
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K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder Autor Dogani, Javad, Khunjush, Farshad, Seydali, Mehdi

“… Most articles on proactive autoscaling in cloud computing have shortcomings in two ways. 1) During feature extraction, the temporal patterns of the data are ignored, and the historical sequences are assigned equal weight. 2…”
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Optimizing Predictive Maintenance in Industrial IoT Cloud Using Dragonfly Algorithm Autor Rani S, Sheeja, AbuRukba, Raafat, El-Fakih, Khaled

“…Cloud computing enables users to access and utilize various computing resources over the internet, including servers, storage, databases, and analytics…”
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MSM-TFL: A Multiservice, Multitask Transformer Framework for Edge Load Prediction Autor Zou, Shuanglin, Yang, Jing, Ruan, Xiaoli, Qin, Yongbin, Wu, Yuankai, Li, Chengjiang, Zhang, Wei

“… In tests conducted on 30 server clusters with five loads, MSM-TFL-Continue outperforms the SOTA approach in terms of prediction errors for 1-, 5-, and 15-min loads, total CPU time, and user…”
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Workload prediction in cloud using artificial neural network and adaptive differential evolution Autor Kumar, Jitendra, Singh, Ashutosh Kumar

“…Cloud computing has drastically transformed the means of computing in recent years…”
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Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction Autor Ali, Tassawar, Khan, Hikmat Ullah, Alarfaj, Fawaz Khaled, AlReshoodi, Mohammed

“…Cloud computing offers demand-based allocation of required resources to its clients ensuring optimal use of resources in a cost-effective manner…”
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An effective deep learning architecture leveraging BIRCH clustering for resource usage prediction of heterogeneous machines in cloud data center Autor Garg, Sheetal, Ahuja, Rohit, Singh, Raman, Perl, Ivan

“…Given the rise in demand for cloud computing in the modern era, the effectiveness of resource utilization is eminent to decrease energy footprint and achieve economic services…”
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A short-term traffic flow prediction method based on spatial–temporal correlation using edge computing Autor Yu, Xiaojie, Sun, Lijun, Yan, Yang, Liu, Guanfeng

“… To address large bandwidth consumption and high delay in traditional cloud solutions, and improve the accuracy and timeliness of traffic prediction, this paper introduces a novel three-layer Cloud…”
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Resource requests prediction in the cloud computing environment with a deep belief network Autor Zhang, Weishan, Duan, Pengcheng, Yang, Laurence T, Xia, Feng, Li, Zhongwei, Lu, Qinghua, Gong, Wenjuan, Yang, Su

“…Summary Accurate resource requests prediction is essential to achieve optimal job scheduling and load balancing for cloud Computing…”
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