Results 11 to 20 of about 4,702 (258)
Structured Prediction Method for Small Sample Workload Sequences [PDF]
Jisuanji kexue yu tansuo, 2022 Accurate workload prediction is the key to realize elastic resource management of cloud platform. Aiming at the problem that a large number of tasks with short running time achieve prediction in the cloud platform, which leads to the lack of training ...
LIU Chunhong, ZHANG Zhihua, JIAO Jie, CHENG Bo
doaj +1 more source
IEEE Access, 2022 Many devices, users, and applications stream an irregular amount of varied data every second. This rapid generation of data continues at an enormous rate, constructing the big data that increase the need for solutions, despite resource constraints, to ...
Saja Dheyaa Khudhur, Hassan Awheed Jeiad
doaj +1 more source
An Univariable Approach for Forecasting Workload in the Maintenance Industry [PDF]
Computación y Sistemas, 2020 The forecasting of the workload in the maintenance industry is of great value to improve human resources allocation and reduce overwork. In this paper, we discuss the problem and the challenges it pertains. We analyze data from a company operating in the industry and present the results of several forecasting models.
Paulo Silva +2 more
openaire +5 more sources
An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing
Applied Sciences, 2022 With the rapid development of 5G technology, the need for a flexible and scalable real-time system for data processing has become increasingly important.
Nhat-Minh Dang-Quang, Myungsik Yoo
doaj +1 more source
Energies, 2023 Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and resource elasticity. However, the workload prediction accuracy in the cloud data center could be better due to noise, redundancy, and low performance for ...
Thirumalai Selvan Chenni Chetty +7 more
doaj +1 more source
A Private Strategy for Workload Forecasting on Large-Scale Wireless Networks
Information, 2021 The growing convergence of various services characterizes wireless access networks. Therefore, there is a high demand for provisioning the spectrum to serve simultaneous users demanding high throughput rates.
Pedro Silveira Pisa +4 more
doaj +1 more source
IEEE Access, 2023 Despite of its importance and potential, the research on the peak power forecasting has received little attention. The decrease of the peak power not only reduces operational expense, but also avoids outages especially during the peak demand season. Thus,
Nahyeon Kim +3 more
doaj +1 more source
A hybrid approach for enhancing cloud computing performance via predictive auto-scaling and Qos-Aware load balancing [PDF]
Big Data and Computing VisionsGood administration of cloud resources is critical to ensuring their efficacy, compliance with SLAs, and cost-effectiveness. To improve the capabilities of cloud computing, this study proposes a hybrid approach that combines predictive auto-scaling with ...
Meenal Vardar, Surendra Yadav
doaj +1 more source
Clustering-Based Numerosity Reduction for Cloud Workload Forecasting
, 2023 Finding smaller versions of large datasets that preserve the same characteristics as the original ones is becoming a central problem in Machine Learning, especially when computational resources are limited, and there is a need to reduce energy consumption.
Andrea Rossi 0010 +3 more
openaire +3 more sources
Resource Time Series Analysis and Forecasting in Large-Scale Virtual Clusters
Big Data Mining and AnalyticsIn today’s rapidly evolving internet landscape, prominent companies across various industries face increasingly complex business operations, leading to significant cluster-scale growth.
Yue Lin +4 more
doaj +1 more source