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A novel virtual machine consolidation algorithm with server power mode management for energy-efficient cloud data centers
With the increasing demand for resources from cloud computing users, enhancing the energy efficiency of data centers and ensuring the Quality of Service have become noteworthy research topics. Most Previous st...
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Article
Source-Specific Ecological Risk of Atmospheric PM2.5-Bound Metals and Implications for Air Pollution Control: A Regional Perspective from China
Atmospheric PM2.5-bound metals are a globally recognized environmental concern that poses a great threat to regional ecosystem health. Determining their ecological risk and sources is imperative for devising effe...
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Article
FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression
The existing machine learning-based energy efficiency and performance models for the servers have achieved high prediction accuracy with the support of abundant training data. However, the differences in data ...
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Article
Open AccessConvolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas
Preoperative diagnosis of filum terminale ependymomas (FTEs) versus schwannomas is difficult but essential for surgical planning and prognostic assessment. With the advancement of deep-learning approaches base...
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Article
Energy-aware parameter tuning for mixed workloads in cloud server
Server energy consumption constitutes a significant portion of the overall energy usage in cloud data centers. Achieving energy optimization through tuning server parameter configurations is of paramount impor...
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Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization
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Article
A Maintenance Decision-Making Process for Steel Cable Structure System
The performance assessment and enhancement model is the research goal for the maintenance decision-making of a steel cable structure system. Firstly, a novel simplified axial cable force calculation method is ...
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Article
Open AccessGestational age modifies the association between exposure to fine particles and fetal death: findings from a nationwide epidemiological study in the contiguous United States
The vulnerability of fetuses differs at different developmental stages, in response to environmental stressors such as fine particulate matter (PM2.5), a ubiquitous air pollutant. Whether gestational age (GA) mod...
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Article
Thermal-aware virtual machine placement based on multi-objective optimization
VMP (Virtual Machine Placement) is a crucial technology for energy consumption optimization of the cloud data center. Existing works mainly focus on virtual machine consolidation to increase resource utilizati...
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Article
Open AccessA resource scheduling method for cloud data centers based on thermal management
With the rapid growth of cloud computing services, the high energy consumption of cloud data centers has become a critical concern of the cloud computing society. While virtual machine (VM) consolidation is of...
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Article
Reminiscence therapy is a feasible care program for improving cognitive function, anxiety, and depression in recurrent acute ischemic stroke patients: a randomized, controlled study
Reminiscence therapy provides benefits among first-episode acute ischemic stroke (AIS) patients and their caregivers. This study intended to further compare the effect of reminiscence therapy plus usual care (...
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Article
Deep-profiling: a deep neural network model for scholarly Web user profiling
Scholarly big data refer to the rapidly growing scholarly source of information, including a large number of authors, papers, and massive scale scholarly networks. Extracting the profile attributes for Web use...
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Article
Experiment and Modelling on Effective Width of Single and Twin I-beam Composite Girders
Effective width (beff) has been widely used by designers, and several specifications can be selected. However, insufficient research has been conducted on the beff of single and twin I-beam composite girders. Thu...
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HCIndex: a Hilbert-Curve-based clustering index for efficient multi-dimensional queries for cloud storage systems
With the rapid development of the Internet of Things and cloud computing, HBase has become a good choice for massive data storage, and is efficient in reading and writing data. However, HBase is not supportive...
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Article
Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment
In cloud computing environments, it is a great challenge to schedule a workflow application because it is an NP-complete problem. Particularly, scheduling workflows with different Quality of Service (QoS) cons...
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MCCP: Multi-Collaboration Channel Pruning for Model Compression
It is difficult to load large deep neural networks on resource-constrained devices. Channel pruning can compress the model and effectively reduce the resource demand to solve this problem. However, most channe...
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Article
Generation of high-order random key matrix for Hill Cipher encryption using the modular multiplicative inverse of triangular matrices
Hill Cipher is one of the classic symmetric encryption algorithms widely used in cloud data security. Although the hill cipher principle is relatively simple, its key matrix must be invertible, and all element...
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Article
Open AccessIGFBP5 is an ROR1 ligand promoting glioblastoma invasion via ROR1/HER2-CREB signaling axis
Diffuse infiltration is the main reason for therapeutic resistance and recurrence in glioblastoma (GBM). However, potential targeted therapies for GBM stem-like cell (GSC) which is responsible for GBM invasion...
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Article
A novel approach for CPU load prediction of cloud server combining denoising and error correction
Computer servers in cloud data centers are known to consume a huge amount of energy in their operations. For energy saving, load balancing has been used but it is only effective when CPU loads are predicted ac...
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An adaptive workload-aware power consumption measuring method for servers in cloud data centers
As cloud computing technologies and applications develop rapidly in recent years, the quantity and size of cloud datacenters have been ever-increasing, making the overconsumption of energy in datacenters becom...
