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Auto-scaling and computation offloading in edge/cloud computing: a fuzzy Q-learning-based approach
The fast growth of under develo** mobile applications in recent years has emerged a diversity of delay-sensitive applications such as multimedia...
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Efficient Auto Scaling and Cost-Effective Architecture in Apache Hadoop
In the age of Big Data Analytics, Cloud Computing has been regarded as a feasible and applicable technology to address Big Data Challenges, from...
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Resource Scalability and Security Using Entropy Based Adaptive Krill Herd Optimization for Auto Scaling in Cloud
Cloud Computing has changed the way we are thinking about computer security and the way how corporations organize their internal processes. Therefore...
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Auto-Scaling System in Apache Spark Cluster Using Model-Based Deep Reinforcement Learning
Thonglek, Kundjanasith Ichikawa, Kohei Sangkeettrakarn, Chatchawal Piyatumrong, ApivadeeReal-time processing is a fast and prompt processing...
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A Study of OpenStack Networking and Auto-Scaling Using Heat Orchestration Template
OpenStack is a cloud computing paradigm comprising of a number of open-source software tools called projects, which are responsible for some specific...
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Forecasting Intraday Stock Price Using Attention Mechanism and Variational Mode Decomposition
Stock price forecasting is a prominent topic in quantitative finance, as accurate prediction is essential due to the complexity of the market. This...
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Cybersecurity Threat Detection in SDN Clouds Using Attention Mechanism in RNN
The Cloud Computing (CC) has emerged as the most affordable method of providing big data and AI services to customers online in recent years. Many...
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Resource Provisioning Through Machine Learning in Cloud Services
Efficient resource provisioning is one of the important research challenges in cloud computing. Cloud providers use auto-scaling techniques for...
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Occlusion-aware FERNet: an optimized patch-based adaptive residual network with attention mechanism for occlusion-aware facial expression recognition
The traditional FER techniques have provided higher recognition accuracy during FER, but the utilization of memory storage size of the model is high,...
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Intelligent Mechanism for Virtual Machine Migration in Cloud Computing
Cloud computing has risen in its importance and is now hosted in massive data centers based on the virtualization technology that in turn allows...
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Adaptive scheduling for multi-objective resource allocation through multi-criteria decision-making and deep Q-network in wireless body area networks
To provide compelling trade-offs among conflicting optimization criteria, various scheduling techniques employing multi-objective optimization (MOO)...
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Residual stacked gated recurrent unit with encoder–decoder architecture and an attention mechanism for temporal traffic prediction
The fast growth of information and communication technology has increased the application of deep learning technology in many areas. Traffic has...
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Control of Distorted Image Points Based on the Mechanism of Identification of a Micro-object with a Cosine Transform
Methodical bases for the identification of images of micro-objects, for example, pollen grains, unicellular microorganisms of medical objects,...
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Categorization of Intercloud users and auto-scaling of resources
Optimal allocation of resources in Intercloud computing is NP-complete program. Constraints are many and configuration of each cloud varies from each...
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An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks
The work in this paper presents a study into nature-inspired optimization applied to workload elasticity prediction using neural networks. Currently,...
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Verification of cloud system elasticity using BigMC
Elasticity is one of the important characteristics of cloud computing used to manage the fluctuating real time workload in the cloud environment....
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EDoS-BARRICADE: A Cloud-Centric Approach to Detect, Segregate and Mitigate EDoS Attacks
Cloud computing through realizing the height of virtualization offers service models that can meet dynamic demands through performing auto-scaling of...
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A workload clustering based resource provisioning mechanism using Biogeography based optimization technique in the cloud based systems
Cloud computing is one of the rapidly growing distributed computing technologies, and cloud-based applications have increased significantly in recent...
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Fault-Tolerant Multi-path Data Communication Mechanism in WSN Based on Optimization Enabled Routing
Wireless sensor network (WSN) represents the integration of node, Base Station and Cluster Head (CH). The fundamental unit of WSN is nodes, which are...
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TinyThrow - Improved Lightweight Real-Time High-Rise Littering Object Detection Algorithm
Due to the high resolution and small object target in high-rise littering scene, the current object detection algorithms have problems of poor...