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Performance Analysis of Selection and Migration for Virtual Machines in Cloud Computing
A cloud computing environment is composed of numerous heterogeneous resources and for efficient utilization of resources endorses virtualization. In...
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Learning-Based Framework for Resource Allocation for Varying Traffic
Network function virtualization (NFV) presents a model to remove physical middle-boxes and replace them with virtual network functions (VNFs) that...
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OR2M: a novel optimized resource rendering methodology for wireless networks based on virtual reality (VR) applications
Virtual Reality (VR) applications depending on wireless networks demand low-latency representations for efficient modeling. However, the primary...
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Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence
With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as...
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Energy-delay tradeoff for virtual machine placement in virtualized multi-access edge computing: a two-sided matching approach
By decoupling network functions from the underlying physical machines (PMs) at the edge of the networks, the virtualized multi-access edge computing...
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Priority-Aware Resource Allocation for RIS-assisted Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach
In this work, we investigate a reconfigurable intelligent surface (RIS) assisted mobile edge computing (MEC) network, where multiple users offload...
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Deep reinforcement learning-based joint optimization model for vehicular task offloading and resource allocation
With the rapid advancement of Internet of vehicles and autonomous driving technology, there is a growing need for increased computing power in...
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CRACLE: Customer Resource Allocation in CLoud Environment
As well known, cloud computing follows dual pricing approach. It follows free-to-use as well as pay-per-use model approach, in which a user pays for...
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Distributed MMSE-based uplink receive combining, downlink transmit precoding and optimal power allocation in cell-free massive MIMO systems
In cell-free massive multiple-input multiple-output systems, a large number of distributed wireless access points (AP) simultaneously serve a number...
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Intelligent flexible assembly system for labor-intensive factory using the configurable virtual workstation concept
Joining the digital transformation movement is no longer optional for manufacturing industries. Big corporations are transforming their automated...
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An efficient meta-heuristic resource allocation with load balancing in IoT-Fog-cloud computing environment
Fog computing is considered a derivative of cloud computing that aims to reduce the huge transmission latency and CPU time, as well as the overall...
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Virtual Reality and 6G Based Smart Classroom Teaching Using Artificial Intelligence
With the rapid development of the big data era, deep reinforcement learning has gradually become a research hotspot in artificial intelligence. This...
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Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms
Current advances in the Internet of Things (IoT) and Cloud involve the presence of an additional layer between them acting as mediator for data...
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Adaptive mobile cloud computing on college physical training education based on virtual reality
Mobile Cloud Computing (MCC) allows the e-learning platform to provide teaching materials, exchange knowledge and share learning experiences. The MCC...
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Learn with Curiosity: A Hybrid Reinforcement Learning Approach for Resource Allocation for 6G enabled Connected Cars
Due to the rapid expansion of heterogeneous mobile networks, there has been a significant increase in the need for a network, processing, and caching...
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Optimization model of combined peak shaving of virtual power grid and thermal power based on power IoT
In order to improve energy efficiency, reduce dependence on fossil fuels, and enhance the sustainable development capability of the power system,...
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Energy-efficient resource allocation in blockchain-based Cybertwin-driven 6G
Inefficient task scheduling schemes compromise network performance and increase latency for delay intolerant tasks. Cybertwin based 6G services...
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Efficient Virtual Machine Selection for Improved Performance in Mobile Edge Computing Environments
Mobile applications have experienced rapid growth thanks to the Internet of Things (IoT). However, the constraints of limited resources on mobile...
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Allocation of geometric tolerances in one-dimensional stackup problems
Many tolerancing problems on mechanical assemblies involve a functional requirement depending on a chain of parallel dimensions on individual parts....
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eMRA: an efficient multi-optimization based resource allocation technique for infrastructure cloud
Cloud computing, an emerging internet based computing paradigm, provides resources for on-demand requests from various geographically distributed...
