Modern farming practices such as precision agriculture make crop production more efficient. The earlier detection of plant diseases is one of the major challenges in the agricultural domain. There is currently a subst...
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Detecting malicious URLs by employing the Random Forest algorithm alongside URL parsing techniques. The dataset comprises URLs categorized into phishing, benign, and defacement classes. By parsing these URLs, various ...
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Emerging non-volatile memory(NVM) technologies promise high density, low cost and dynamic random access memory(DRAM)-like performance, at the expense of limited write endurance and high write energy consumption. It is...
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Emerging non-volatile memory(NVM) technologies promise high density, low cost and dynamic random access memory(DRAM)-like performance, at the expense of limited write endurance and high write energy consumption. It is more practical to use NVM combining with the traditional DRAM. However, the hybrid memory management such as page migration becomes more challenging in a virtualization environment because virtual machines(VMs) are unaware of the memory heterogeneity. In this paper, we propose HMvisor, a hypervisor and VM coordinated hybrid memory management mechanism to better utilize DRAM and NVM resources. HMvisor exposes the memory heterogeneity to VMs by mapping virtual NUMA nodes to different physical NUMA nodes. We propose a lightweight and efficient page migration mechanism by decoupling page hotness tracking from page migration. HMvisor performs those operations in the hypervisor and VMs separately, without disrupting the execution of VMs. We also propose a memory resource trading policy to adjust the capacity of DRAM and NVM for each VM, with the monetary cost unchanged. We implement our prototype system based on QEMU/KVM and evaluate it with several benchmarks. Experimental results show that HMvisor can reduce 50% of write traffic to NVM with less than 5% performance overhead. Moreover, the hybrid memory adjustment scheme in HMvisor can significantly improve application performance by up to 30×.
Previous studies have shown that coronary artery occlusion can cause myocardial ischemia, which can induce ventricular tachycardia or fibrillation. According to the time sequence, myocardial ischemia can be divided in...
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As technology continues to advance at an unprecedented pace, the interaction between humans and computers has become an integral part of our daily lives. This study provides a comprehensive review of the evolving land...
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The "Career Compass"system employs smart technology to assist users in finding their next job. Users provide preferences such as skills and desired salary, and the system utilizes advanced algorithms to reco...
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The Integrated Telemedicine Platform connects patients and doctors seamlessly, enabling video consultations, report uploads, real-time prescriptions, and nearby pharmacylocators. Enhancedbymachinelearning for early di...
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In many software projects, especially large and complex ones, there often exists a significant gap in documentation. This can lead to a lack of understanding among developers, especially when they encounter unfamiliar...
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Algorithmic trading, utilizing reinforcement learning, has attracted significant attention for its adaptability and potential in present financial markets. This research combines Deep Deterministic Policy Gradients (D...
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The Ayurvedic cosmetics industry in Sri Lanka is grappling with the prevalence of fake reviews. To mitigate this problematic situation, this study first utilized Natural Language Processing (NLP) techniques to analyze...
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