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Journal articles on the topic 'VNF Scaling'

Author: Grafiati

Published: 11 March 2023

Last updated: 31 July 2025

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1

Zafar, Saima, Usman Ayub, Hend I. Alkhammash, and Nasim Ullah. "Framework for Efficient Auto-Scaling of Virtual Network Functions in a Cloud Environment." Sensors 22, no. 19 (2022): 7597. http://dx.doi.org/10.3390/s22197597.

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Network Function Virtualization (NFV) offers an alternate method to design, deploy and manage network services. The NFV decouples network functions from the dedicated hardware and moves them to the virtual servers so that they can run in the software. One of the major strengths of the NFV is its ability to dynamically extend or reduce resources allocated to Virtual Network Functions (VNF) as needed and at run-time. There is a need for a comprehensive metering component in the cloud to store and process the metrics/samples for efficient auto-scaling or load-management of the VNF. In this paper,

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Hu, Haiyan, Qiaoyan Kang, Shuo Zhao, Jianfeng Wang, and Youbin Fu. "Service Function Chain Deployment Method Based on Traffic Prediction and Adaptive Virtual Network Function Scaling." Electronics 11, no. 16 (2022): 2625. http://dx.doi.org/10.3390/electronics11162625.

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With the development of network function virtualization (NFV), the resource management of service function chains (SFC) in the virtualized environment has gradually become a research hotspot. Usually, users hope that they can get the network services they want anytime and anywhere. The network service requests are dynamic and real-time, which requires that the SFC in the NFV environment can also meet the dynamically changing network service requests. In this regard, this paper proposes an SFC deployment method based on traffic prediction and adaptive virtual network function (VNF) scaling. Fir

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Naidu, D. J. Samatha, and G. Hima Bindu. "INVESTIGATION ON ONLINE VNF SCALING IN A CLOUD DATACENTER USING ILP." International Journal of Computer Science and Mobile Computing 10, no. 8 (2021): 32–35. http://dx.doi.org/10.47760/ijcsmc.2021.v10i08.005.

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NFV is the advanced technology in present situation. Online VNF Scaling in a cloud datacenter under multi-resource constraints were consider for formulating mathematical model. A new novel ILP Scaling algorithm works based on the regularization technique and dependent rounding.

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Yao, Yifu, Songtao Guo, Pan Li, Guiyan Liu, and Yue Zeng. "Forecasting assisted VNF scaling in NFV-enabled networks." Computer Networks 168 (February 2020): 107040. http://dx.doi.org/10.1016/j.comnet.2019.107040.

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Zeng, Zhihao, Zixiang Xia, Xiaoning Zhang, and Yexiao He. "SFC Design and VNF Placement Based on Traffic Volume Scaling and VNF Dependency in 5G Networks." Computer Modeling in Engineering & Sciences 134, no. 3 (2023): 1791–814. http://dx.doi.org/10.32604/cmes.2022.021648.

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Llorens-Carrodeguas, Alejandro, Irian Leyva-Pupo, Cristina Cervelló-Pastor, Luis Piñeiro, and Shuaib Siddiqui. "An SDN-Based Solution for Horizontal Auto-Scaling and Load Balancing of Transparent VNF Clusters." Sensors 21, no. 24 (2021): 8283. http://dx.doi.org/10.3390/s21248283.

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This paper studies the problem of the dynamic scaling and load balancing of transparent virtualized network functions (VNFs). It analyzes different particularities of this problem, such as loop avoidance when performing scaling-out actions, and bidirectional flow affinity. To address this problem, a software-defined networking (SDN)-based solution is implemented consisting of two SDN controllers and two OpenFlow switches (OFSs). In this approach, the SDN controllers run the solution logic (i.e., monitoring, scaling, and load-balancing modules). According to the SDN controllers instructions, th

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Luo, Ziyue, and Chuan Wu. "An Online Algorithm for VNF Service Chain Scaling in Datacenters." IEEE/ACM Transactions on Networking 28, no. 3 (2020): 1061–73. http://dx.doi.org/10.1109/tnet.2020.2979263.

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Sarrigiannis, Ioannis, Kostas Ramantas, Elli Kartsakli, Prodromos-Vasileios Mekikis, Angelos Antonopoulos, and Christos Verikoukis. "Online VNF Lifecycle Management in a MEC-enabled 5G IoT Architecture." IEEE Internet of Things Journal 7, no. 5 (2020): 4183–94. https://doi.org/10.1109/JIOT.2019.2944695.

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The upcoming fifth generation (5G) mobile communications urge software-defined networks (SDNs) and network function virtualization (NFV) to join forces with the multiaccess edge computing (MEC) cause. Thus, reduced latency and increased capacity at the edge of the network can be achieved, to satisfy the requirements of the Internet of Things (IoT) ecosystem. If not properly orchestrated, the flexibility of the virtual network functions (VNFs) incorporation, in terms of deployment and lifecycle management, may cause serious issues in the NFV scheme. As the service level agreements (SLAs) of the

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Wu, Ziyan, Tianming Cui, Arvind Narayanan, et al. "GranularNF." ACM SIGMETRICS Performance Evaluation Review 50, no. 2 (2022): 46–51. http://dx.doi.org/10.1145/3561074.3561092.

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In this paper, we consider the challenges that arise from the need to scale virtualized network functions (VNFs) at 100 Gbps line speed and beyond. Traditional VNF designs are monolithic in state management and scheduling: internally maintaining all states and operations associated with them. Without proper design considerations, it suffers from limitations when scaling at 100 Gbps link speed and beyond: the inability of efficient utilization of the cache because of the contention due to the frequent control plane activities, computational/memory-intensive tasks taking up CPU times, shares sta

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Moreno-Vozmediano, Rafael, Eduardo Huedo, Rubén S. Montero, and Ignacio M. Llorente. "AI-Driven Resource Allocation and Auto-Scaling of VNFs in Edge-5G-IoT Ecosystems." Electronics 14, no. 9 (2025): 1808. https://doi.org/10.3390/electronics14091808.

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With the rapid expansion of edge-5G-IoT ecosystems, the need for intelligent and adaptive resource management strategies has become a critical challenge. In these environments, Virtualized Network Functions (VNFs) deployed at the network edge must handle highly dynamic workloads, making fixed resource allocation inefficient. While over-provisioning can lead to unnecessary resource waste, an especially critical issue in edge environments with limited resources, under-provisioning can degrade performance and service quality. This paper presents an AI-based predictive auto-scaling framework desig

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Tang, Hong, Danny Zhou, and Duan Chen. "Dynamic Network Function Instance Scaling Based on Traffic Forecasting and VNF Placement in Operator Data Centers." IEEE Transactions on Parallel and Distributed Systems 30, no. 3 (2019): 530–43. http://dx.doi.org/10.1109/tpds.2018.2867587.

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12

Xu, Ran. "Proactive VNF Scaling with Heterogeneous Cloud Resources: Fusing Long Short-Term Memory Prediction and Cooperative Allocation." Mathematical Problems in Engineering 2020 (January 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/4371056.

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Network function virtualization (NFV) is designed to implement network functions by software that replaces proprietary hardware devices in traditional networks. In response to the growing demand of resource-intensive services, for NFV cloud service providers, software-oriented network functions face a number of challenges, such as dynamic deployment of virtual network functions and efficient allocation of multiple resources. This study aims at the dynamic allocation and adjustment of network multiresources and multitype flows for NFV. First, to seek a proactive approach to provision new instan

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13

Thomas, James S., Daniel M. Corcos, and Ziaul Hasan. "Kinematic and Kinetic Constraints on Arm, Trunk, and Leg Segments in Target-Reaching Movements." Journal of Neurophysiology 93, no. 1 (2005): 352–64. http://dx.doi.org/10.1152/jn.00582.2004.

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We studied target reaching tasks involving not only the arms but also the trunk and legs, which necessitated some trunk flexion. Such tasks can be successfully completed using an infinite number of combinations of segment motions due to the inherent kinematic redundancy with the excessive degrees of freedom (DOFs). Sagittal plane motions of six segments (shank, thigh, pelvis, trunk, humerus, and forearm) and dynamic torques of six joints (ankle, knee, hip, lumbar, shoulder, and elbow) were analyzed separately by principal component (PC) analyses to determine if there was a commonality among th

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BARRY, MICHAEL E., GREGORY N. IVEY, KRAIG B. WINTERS, and JÖRG IMBERGER. "Measurements of diapycnal diffusivities in stratified fluids." Journal of Fluid Mechanics 442 (August 24, 2001): 267–91. http://dx.doi.org/10.1017/s0022112001005080.

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Linearly stratified salt solutions of different Prandtl number were subjected to turbulent stirring by a horizontally oscillating vertical grid in a closed laboratory system. The experimental set-up allowed the independent direct measurement of a root mean square turbulent lengthscale Lt, turbulent diffusivity for mass Kρ, rate of dissipation of turbulent kinetic energy ε, buoyancy frequency N and viscosity v, as time and volume averaged quantities. The behaviour of both Lt and Kρ was characterized over a wide range of the turbulence intensity measure, ε/vN2, and two regimes were identified.In

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Johansson, Benny, and Svetlana Sukhotskya. "Drinking functional coherent mineral water accompanies a strengthening of the very low frequency impact on heart rate variability, and mono and multifractal heart rhythm dynamics in healthy humans." Functional Foods in Health and Disease 6, no. 6 (2016): 388. http://dx.doi.org/10.31989/ffhd.v6i6.265.

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Background: Research on functional water has revealed its physiological functions and health-beneficial effects. Accordingly, this study explored the effects of drinking an average dietary volume of functional coherent mineral water (FCMW) on blood pressure, short-term cardiovascular variables, fractal heart rhythm dynamics, and salivary immunoglobulin A. Methods: Fifteen healthy subjects were randomized in a pre-post crossover design, selected the morning after an overnight fast. Short-term electrocardiography (ECG) was measured before and after drinking either control mineral water (CMW) or

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EFTAXIAS, K., P. FRANGOS, P. KAPIRIS, et al. "REVIEW AND A MODEL OF PRE-SEISMIC ELECTROMAGNETIC EMISSIONS IN TERMS OF FRACTAL ELECTRODYNAMICS." Fractals 12, no. 02 (2004): 243–73. http://dx.doi.org/10.1142/s0218348x04002501.

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We introduce a new model of the generation of pre-seismic electromagnetic emissions, which explains the observed phenomenology in terms of its geometry and fractal electrodynamics. Accumulated evidence indicates that an earthquake can be viewed as a critical phenomenon culminating in a large event that corresponds to a type of critical point. The principle feature of criticality is the fractal organization in both space and time. Earthquakes display a complex spatio-temporal behavior: in addition to the regularity in the rate of occurrence (e.g. Gutenberg-Richter law, Omori law), the spatial d

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POPKOV, VLADISLAV, and MARIO SALERNO. "REDUCED DENSITY MATRIX AND ENTANGLEMENT ENTROPY OF PERMUTATIONALLY INVARIANT QUANTUM MANY-BODY SYSTEMS." International Journal of Modern Physics B 26, no. 27n28 (2012): 1243009. http://dx.doi.org/10.1142/s0217979212430096.

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In this paper we discuss the properties of the reduced density matrix of quantum many body systems with permutational symmetry and present basic quantification of the entanglement in terms of the von Neumann (VNE), Renyi and Tsallis entropies. In particular, we show, on the specific example of the spin 1/2 Heisenberg model, how the RDM acquires a block diagonal form with respect to the quantum number k fixing the polarization in the subsystem conservation of Sz and with respect to the irreducible representations of the Sn group. Analytical expression for the RDM elements and for the RDM spectr

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Yonaiguchi, N., Y. Ida, M. Hayakawa, and S. Masuda. "A comparison of different fractal analyses for VHF electromagnetic emissions and their self-organization for the off-sea Miyagi-prefecture earthquake." Natural Hazards and Earth System Sciences 7, no. 4 (2007): 485–93. http://dx.doi.org/10.5194/nhess-7-485-2007.

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Abstract. The VHF electromagnetic noise intensity data at several stations in the Tohoku area of Japan during the period of a rather large (with magnitude of 7.2) earthquake (Miyagi-ken oki earthquake) taken place on 16 August 2005, are analyzed by means of different fractal analysis methods, including (1) spectral slope estimation, (2) multi-fractal detrended fluctuation analysis and (3) multi-fractal wavelet transform modulus maxima method. It seems to the authors that there is no definite analysis method for the analysis of any seismogenic phenomenon, so that the only way we have to take, i

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19

Liu, Junhao, Qizhou Zhang, Hauyu Baobab Liu, et al. "Deviation from a Continuous and Universal Turbulence Cascade in NGC 6334 due to Massive Star Formation Activity." Astrophysical Journal 949, no. 1 (2023): 30. http://dx.doi.org/10.3847/1538-4357/acc4c0.

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Abstract We use molecular line data from the Atacama Large Millimeter/submillimeter Array, Submillimeter Array, James Clerk Maxwell Telescope, and NANTEN2 to study the multiscale (∼15–0.005 pc) velocity statistics in the massive star formation region NGC 6334. We find that the nonthermal motions revealed by the velocity dispersion function (VDF) stay supersonic over scales of several orders of magnitude. The multiscale nonthermal motions revealed by different instruments do not follow the same continuous power law, which is because the massive star formation activities near central young stell

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20

Baumert, Mathias, Lars M. Brechtel, Juergen Lock, Andreas Voss, and Derek Abbott. "Scaling graphs of heart rate time series in athletes demonstrating the VLF, LF and HF regions." Physiological Measurement 27, no. 9 (2006): N35—N39. http://dx.doi.org/10.1088/0967-3334/27/9/n01.

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21

Li, Fengquan, Zhuling Sun, Mingyuan Liu, et al. "A New Hybrid Algorithm to Image Lightning Channels Combining the Time Difference of Arrival Technique and Electromagnetic Time Reversal Technique." Remote Sensing 13, no. 22 (2021): 4658. http://dx.doi.org/10.3390/rs13224658.

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Very-high-frequency (VHF) electromagnetic signals have been well used to image lightning channels with high temporal and spatial resolution due to their capability to penetrate clouds. A lightning broadband VHF interferometer with three VHF antennas configured in a scalene-triangle shape has been installed in Lhasa since 2019, to detect the lightning VHF signals. Using the signals from the VHF interferometer, a new hybrid algorithm, called the TDOA-EMTR technique, combining the time difference of arrival (TDOA) and the electromagnetic time reversal (EMTR) technique is introduced to image the t

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22

Brozzetti, Francesco, Alessandro Cesare Mondini, Cristina Pauselli, et al. "Mainshock Anticipated by Intra-Sequence Ground Deformations: Insights from Multiscale Field and SAR Interferometric Measurements." Geosciences 10, no. 5 (2020): 186. http://dx.doi.org/10.3390/geosciences10050186.

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The 2016 Central Italy seismic sequence was characterized by two main events: 24 August, Mw 6, and 30 October, Mw 6.5. We carried out high-resolution field sampling and DInSAR analysis of the coseismic and intra-sequence ground deformations along the Mt Vettore-Mt Bove causative fault (VBF). We found that during the intra-sequence period (24 August–30 October), the ground experienced some deformations whose final patterns seemed to be retraced and amplified by the following mainshock. We interpreted that (i) immediately after the 24 August earthquake, the deformation observed in the southern V

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Bruning, Eric C., and Donald R. MacGorman. "Theory and Observations of Controls on Lightning Flash Size Spectra." Journal of the Atmospheric Sciences 70, no. 12 (2013): 4012–29. http://dx.doi.org/10.1175/jas-d-12-0289.1.

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Abstract Previous analyses of very high frequency (VHF) Lightning Mapping Array (LMA) observations relative to the location of deep convective updrafts have noted a systematic pattern in flash characteristics. In and near strong updrafts, flashes tend to be smaller and more frequent, while flashes far from strong vertical drafts exhibit the opposite tendency. This study quantitatively tests these past anecdotal observations using LMA data for two supercell storms that occurred in Oklahoma in 2004. The data support a prediction from electrostatics that frequent breakdown and large flash extents

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Setyobudi, Bima Bagus. "Strategi Pemeliharaan Preskriptif: Optimalisasi Keandalan Mesin Berbasis Machine Learning Guna Mencegah Terjadinya Downtime Pada Mesin Industri." Prosiding Seminar Nasional KONSTELASI 2, no. 1 (2025): 414–26. https://doi.org/10.24002/prosidingkonstelasi.v2i1.11199.

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Abstrak. Downtime pada mesin industri dapat menyebabkan kerugian yang signifikan dalam produktivitas dan efisiensi operasional. Berbagai metode pemeliharaan seperti Corrective, Descriptive, Diagnostic, dan Predictive Maintenance memiliki keterbatasan dalam mengoptimalkan strategi mitigasi downtime. Oleh karena itu, penelitian ini mengimplementasikan Prescriptive Maintenance berbasis Machine Learning (XGBoost) untuk tidak hanya memprediksi kegagalan mesin tetapi juga memberikan rekomendasi langkah korektif guna mencapai zero downtime. Dataset AI4I 2020 Predictive Maintenance digunakan sebagai s

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Nguyen, Anh Tuan Le, Xuan Thanh Thi Le, Toan Thanh Thi Do, et al. "Knowledge, Preference, and Willingness to Pay for Hepatitis B Vaccination Services among Woman of Reproductive Age in Vietnam." BioMed Research International 2019 (February 21, 2019): 1–7. http://dx.doi.org/10.1155/2019/9154918.

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Background. Hepatitis B virus (HBV) vaccine is a critical approach to prevent HBV transmission from mother to child. However, despite high HBV prevalence, evidence about the preference of women of productive age for HBV vaccine in Vietnam was constrained. This study aims to explore the preference and willingness to pay (WTP) for the HBV vaccine in Vietnamese women in productive age. Methods. A cross-sectional study was conducted in Hanoi in April 2016. A structured questionnaire was used to collect information about respondents’ socioeconomic status and knowledge about HBV vaccination. A conti

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Geiman, Joseph D., and James T. Kirby. "Unforced Oscillation of Rip-Current Vortex Cells." Journal of Physical Oceanography 43, no. 3 (2013): 477–97. http://dx.doi.org/10.1175/jpo-d-11-0164.1.

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Abstract A numerical simulation of a monochromatic surface gravity wave–driven flow over an alongshore quasi-periodic rip-channeled beach using the wave-resolving model Funwave is used to investigate coherent, very low-frequency (VLF) motions with characteristic frequencies f &lt; 4.0 mHz inside of the surf zone generated by wave breaking. These oscillations of the nearshore cellular vorticity pattern occur for shore-normal waves over a wide range of amplitudes of the incident wave field and occur despite the wave forcing being essentially constant. The oscillations occur at the lower end

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Li, Xingsu, Zhong Li, Jianping Huang, et al. "Detection Method and Application of Nuclear-Shaped Anomaly Areas in Spatial Electric Field Power Spectrum Images." Remote Sensing 16, no. 4 (2024): 726. http://dx.doi.org/10.3390/rs16040726.

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It is found that there are some anomalous high-energy nuclear-shaped regions in the VLF frequency band of the space electric field. To detect and statistically analyze these nuclear-shaped anomaly areas, this paper proposes a nuclear-shaped anomaly area detection method based on the electric field power spectrum image data of the China Seismo Electromagnetic Satellite (CSES-01). First, the logarithm of VLF frequency band data was calculated and rotated counterclockwise to create power spectrum images and label them to form a sample image dataset; then, images were enhanced (which involved resi

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Zeng, Guoping, and Sha Tao. "A Generalized Linear Transformation and Its Effects on Logistic Regression." Mathematics 11, no. 2 (2023): 467. http://dx.doi.org/10.3390/math11020467.

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Linear transformations such as min–max normalization and z-score standardization are commonly used in logistic regression for the purpose of scaling. However, the work in the literature on linear transformations in logistic regression has two major limitations. First, most work focuses on improving the fit of the regression model. Second, the effects of transformations are rarely discussed. In this paper, we first generalized a linear transformation for a single variable to multiple variables by matrix multiplication. We then studied various effects of a generalized linear transformation in lo

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Gu Jin-Hua, Ding Yan-Li, Yang Shi-E, Gao Xiao-Yong, Chen Yong-Sheng, and Lu Jing-Xiao. "A spectroscopic ellipsometry study of the abnormal scaling behavior of high-rate-deposited microcrystalline silicon films by VHF-PECVD technique." Acta Physica Sinica 58, no. 6 (2009): 4123. http://dx.doi.org/10.7498/aps.58.4123.

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Huston, Kyle J., Christina E. Rice, and Ronald G. Larson. "Forward Flux Sampling of Polymer Desorption Paths from a Solid Surface into Dilute Solution." Polymers 12, no. 10 (2020): 2275. http://dx.doi.org/10.3390/polym12102275.

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We compute desorption rates for isolated polymers adsorbed to a solid wall with a rare event sampling technique called multilevel splitting, also known as forward flux sampling. We interpret computed rates with theories based on the conjecture that the product tdesDRg2 of the desorption time tdes and diffusivity D divided by squared radius of gyration Rg scales with exp(h/Rg) where h is the equilibrium ratio of adsorbed surface concentration of polymer Γ to bulk concentration of polymer c. As the polymer–wall interaction energy is increased, the slope of lntdesDRg2 vs. NVMFkBT nearly approache

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Setiawan, I., R. Ekawita, R. Sugihakim, and B. E. Gunara. "Fast forward of adiabatic quantum dynamics: an application to planar Dirac systems." Nanosystems: Physics, Chemistry, Mathematics 16, no. 3 (2025): 298–305. https://doi.org/10.17586/2220-8054-2025-16-3-298-305.

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We study a scheme of fast-forward adiabatic quantum dynamics of a (2 + 1) Dirac particle. This scheme was originally proposed by Masuda and Nakamura. In this scheme, we include the adiabatic parameter that maintains the adiabatic motion of the particle and fast forward its motion by introducing a time scaling parameter. The fast forward adiabatic state is obtained by determining the regularization term and driving potential. We introduce the proposed method to the system with the Dirac particle using a (2 + 1) dimensiontime- dependent Dirac equation and obtain the regularization term, the driv

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He, Yina, Lei Peng, Yongcun Zhang, Juanjuan Weng, Shaozi Li, and Zhiming Luo. "Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 3 (2025): 3446–54. https://doi.org/10.1609/aaai.v39i3.32357.

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Current out-of-distribution (OOD) detection methods typically assume balanced in-distribution (ID) data, while most real-world data follow a long-tailed distribution. Previous approaches to long-tailed OOD detection often involve balancing the ID data by reducing the semantics of head classes. However, this reduction can severely affect the classification accuracy of ID data. The main challenge of this task lies in the severe lack of features for tail classes, leading to confusion with OOD data. To tackle this issue, we introduce a novel Prioritizing Attention to Tail (PATT) method using augme

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БИГУЛОВ, С. А. "СОЦИАЛЬНО-ПОЛИТИЧЕСКИЕ ПОСЛЕДСТВИЯ ТЕРАКТА В БЕСЛАНЕ". Известия СОИГСИ, № 56(95) (25 червня 2025): 83–96. https://doi.org/10.46698/vnc.2025.95.56.003.

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еррористический акт, произошедший в г. Беслане в сентябре 2004 года, стал не только огромной трагедией. Изменения в социально-политической структуре, закрепившиеся после Бесланской трагедии, остаются актуальными по сей день. Проведенные в этот период административные реформы, направленные на укрепление вертикали власти и формирование особых структур, продолжают оказывать влияние на современную социально-политическую ситуацию. Понимание социально-политических процессов новейшей истории РСО-А способствует грамотному и долгосрочному прогнозированию тенденций современного развития. Недовольство ре

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Venkata, Raghunadh M., and Rao N. Bheema. "A High-Performance Miniature 8.2 GHz Band Pass Filter Using Multilayer IPD Inductor for UWB and 5G Radio." International Journal of Microsystems and IoT 1, no. 1 (2023): 18–25. https://doi.org/10.5281/zenodo.8289388.

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This paper describes the simulation and fabrication of a miniature onchip Bandpass Filter (BPF) using the Integrated Passives Device (IPD) process for UWB and 5G Radio Frequency Front End (RFFE) solutions. Technology driven miniaturization led to regular geometry shrinking for components and ICs also.  A novel high quality series stacked double_split path inductor is developed with minimum onchip area. The proposed novel double_split (2_split) IPD inductor showed excellent improvements of 53.2% and 36.67% of inductance and quality factor respectively, against the nearest matching inductor

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Draz, Umar, Sana Yasin, Tariq Ali, et al. "ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)." Sensors 21, no. 17 (2021): 5968. http://dx.doi.org/10.3390/s21175968.

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The Internet of Underwater Things (IoUTs) enables various underwater objects be connected to accommodate a wide range of applications, such as oil and mineral exportations, disaster detection, and tracing tracking systems. As about 71% of our earth is covered by water and one-fourth of the population lives around this, the IoUT expects to play a vital role. It is imperative to pursue reliable communication in this vast domain, as human beings’ future depends on water activities and resources. Therefore, there is a urgent need for underwater communication to be reliable, end-to-end secure, and

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Doubleday, Kevin, Daniel Gaile, Ravi Vijaya-Satya, et al. "Abstract 5015: Precision profile simulation study for a next generation sequencing bTMB assay." Cancer Research 82, no. 12_Supplement (2022): 5015. http://dx.doi.org/10.1158/1538-7445.am2022-5015.

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Abstract Background: Precision profile simulations (PPS) can be used to assess variability of biomarker profiles and provide valuable insight into assay performance, especially when reliable precision estimates can not be obtained empirically due to scarcity of representative samples or insufficient materials per sample. A PPS was conducted for the GuardantOMNI assay to characterize the expected variability in blood tumor mutational burden (bTMB) score across a representative range of expected bTMB scores in clinical samples. The simulations were aligned to, but not completely prescribed by, t

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Кожевникова, Н. К., А. В. Рубцов, В. В. Шамов, Б. И. Гарцман, С. Ю. Лупаков, and Т. С. Губарева. "POSSIBILITIES OF CATCHMENT’S TRANSPIRATION ASSESSMENT BASED ON SAP FLOW MEASUREMENTS: THE PROBLEM STATEMENT." Гидросфера. Опасные процессы и явления 4, no. 1 (2020): 504–32. http://dx.doi.org/10.34753/hs.2019.1.4.504.

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Изучение сезонной динамики и объемов суммарного испарения лесных водосборов (главным образом транспирации древостоев) является актуальнейшей задачей как в фундаментальном, так и прикладном аспектах. Ее решение связано с рядом сложностей: трудоемкость прямого наблюдения, наличие большого количества влияющих друг на друга факторов, необходимость распространения данных точечных измерений на площадь и многие другие. Это приводит к тому, что при моделировании водного баланса речных бассейнов испарение определяется по упрощенным схемам, остаточному принципу, что ведет к неправильному отражению струк

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Heimlich, Jonathan, Morgan Shannon, Sydney Olson, et al. "Clonal Hematopoiesis and Inflammation in the Vasculature (CHIVE), a Prospective, Longitudinal Clonal Hematopoiesis Cohort and Biorepository." Blood 142, Supplement 1 (2023): 5594. http://dx.doi.org/10.1182/blood-2023-189808.

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Introduction Clonal hematopoiesis (CH), the expansion of a clonal population of hematopoietic cells, is an age-associated phenomenon leading to increased risk of both hematologic malignancy and non-malignant organ dysfunction. There have been significant advances in our understanding of the underlying pathophysiology of CH in recent years. However, additional studies are needed to better understand clinical trajectories and optimal care of patients with CH. To address this gap, the prospective, longitudinal CHIVE (Clonal Hematopoiesis and Inflammation in the VasculaturE) registry and bioreposi

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Engin, Zeydan, Mangues Josep, Baranda Jorge, Martínez Ricardo, and Vettori Luca. "A Multi-criteria Decision Making Approach for Scaling and Placement of Virtual Network Functions." J. Netw. Syst. Manag. 30, no. 2 (2022). https://doi.org/10.5281/zenodo.7298457.

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This paper investigates the joint scaling and placement problem of network services made up of virtual network functions (VNFs) that can be provided inside a cluster managing multiple points of presence (PoPs). Aiming at increasing the VNF service satisfaction rates and minimizing the deployment cost, we use both transport and cloud-aware VNF scaling as well as multi-attribute decision making (MADM) algorithms for VNF placement inside the cluster. The original joint scaling and placement problem is known to be NP-hard and hence the problem is solved by separating scaling and placement problems

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"Traffic Forecast Assisted Adaptive VNF Dynamic Scaling." KSII Transactions on Internet and Information Systems 16, no. 11 (2022). http://dx.doi.org/10.3837/tiis.2022.11.007.

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"Dynamic 5G Network Slicing." International Journal of Advanced Trends in Computer Science and Engineering 10, no. 2 (2021): 1006–10. http://dx.doi.org/10.30534/ijatcse/2021/741022021.

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5G network slicing is the use of network virtualization to divide single network connections into multiple distinct virtual connections that provide different amounts of resources to different types of traffic. A 5G NS (Network Slicing) instance is composed of a set of virtual network function (VNF) instances to form the end-to-end (E2E) virtual network for the slice to operate independently. The deployment of a NS is a typical virtual network embedding (VNE) problem. The proposed algorithm consists of three parts. First, we devise a Holt-Winters (HW) prediction algorithm to determine traffic

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Nikbazm, Rojia, and Mahmood Ahmadi. "Predictive VNF auto-scaling based on genetic programming." Neural Computing and Applications, December 11, 2024. https://doi.org/10.1007/s00521-024-10763-5.

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Xia, Rui, Haipeng Dai, Jiaqi Zheng, et al. "SAFE: Service Availability via Failure Elimination Through VNF Scaling." IEEE/ACM Transactions on Networking, 2023, 1–16. http://dx.doi.org/10.1109/tnet.2022.3233488.

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Qu, Kaige, Weihua Zhuang, Xuemin Shen, Xu Li, and Jaya Rao. "Dynamic Resource Scaling for VNF over Nonstationary Traffic: A Learning Approach." IEEE Transactions on Cognitive Communications and Networking, 2020, 1. http://dx.doi.org/10.1109/tccn.2020.3018157.

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Ali, Khalid, and Manar Jammal. "Proactive VNF Scaling and Placement in 5G O-RAN using ML." IEEE Transactions on Network and Service Management, 2023, 1. http://dx.doi.org/10.1109/tnsm.2023.3292986.

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Seo, Namjin, DongNyeong Heo, and Heeyoul Choi. "Graph Neural Networks with Reinforcement Learning for Advanced VNF Scaling in Network Management." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4353607.

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Carpio, Francisco, Wolfgang Bziuk, and Admela Jukan. "Scaling migrations and replications of Virtual Network Functions based on network traffic forecasting." February 11, 2022. https://doi.org/10.1016/j.comnet.2021.108582.

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Migration and replication of virtual network functions (VNFs) are well-known mechanisms to face dynamic resource requests in Internet Service Provider (ISP) edge networks. They are not only used to reallocate resources in carrier networks, but in case of excessive traffic churns also to offload VNFs to third party cloud providers. We propose to study how traffic forecasting can help to reduce the number of required migrations and replications when the traffic dynamically changes in the network. We analyze and compare three scenarios for the VNF migrations and replications based on: (i) the cur

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Verma, Rahul, and Krishna M. Sivalingam. "Design and Analysis of VNF Scaling Mechanisms for 5G-and-Beyond Networks using Federated Learning." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3458437.

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Yi, Bo, Jiacheng Wang, Qiang He, et al. "Traffic Prediction-based VNF Auto-scaling and Deployment Mechanism for Flexible and Elastic Service Provision." IEEE Transactions on Services Computing, 2024, 1–15. http://dx.doi.org/10.1109/tsc.2024.3440050.

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Chen, Zhenke, He Li, Kaoru Ota, and Mianxiong Dong. "HyScaler: A Dynamic, Hybrid VNF Scaling System for Building Elastic Service Function Chains across Multiple Servers." IEEE Transactions on Network and Service Management, 2023, 1. http://dx.doi.org/10.1109/tnsm.2023.3277552.

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