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Toward efficient resource utilization at edge nodes in federated learning
Federated learning (FL) enables edge nodes to collaboratively contribute to constructing a global model without sharing their data. This is...
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An experimental and comparative study examining resource utilization in cloud data center
Virtual machine placement (VMP) has a significant importance with respect to resource utilization in cloud data centers. Indeed, the optimized...
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Enhancing resource utilization and privacy in IoT data placement through fuzzy logic and PSO optimization
The exponential growth of Internet of Things (IoT) devices has ushered in an era of vast data generation, necessitating abundant resources for data...
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Reputation-based joint optimization of user satisfaction and resource utilization in a computing force network
Under the development of computing and network convergence, considering the computing and network resources of multiple providers as a whole in a...
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Improving resource utilization and fault tolerance in large simulations via actors
Large simulations with many independent sub-simulations are common in scientific computing. There are numerous challenges, however, associated with...
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Work Scheduling in Cloud Network Based on Deep Q-LSTM Models for Efficient Resource Utilization
Edge computing has emerged as an innovative paradigm, bringing cloud service resources closer to mobile consumers at the network's edge. This...
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A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)
Content Delivery Networks (CDNs) have grown in popularity as a result of the ongoing development of the Internet and its applications. The workload...
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Resource utilization and cost optimization oriented container placement for edge computing in industrial internet
With the continuous evolution of the modern industrial internet in an intelligent direction, intelligent devices generate many delay-sensitive task...
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An experimental and comparative benchmark study examining resource utilization in managed Hadoop context
Transitioning cloud-based Hadoop frameworks from IaaS to PaaS, which are commercially conceptualized as pay-as-you-go or pay-per-use, often reduces...
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GMM-LSTM: a component driven resource utilization prediction model leveraging LSTM and gaussian mixture model
Nowadays, Cloud services are gaining importance among users due to their cost-effectiveness and highly scalable resources. To meet the user’s...
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A metaheuristic-based task offloading scheme with a trade-off between delay and resource utilization in IoT platform
Fog computing has emerged as the most popular technology for processing delay-sensitive tasks in the Internet of Things platform. However, offloading...
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An optimized algorithm for resource utilization in cloud computing based on the hybridization of meta-heuristic algorithms
Cloud services are rapidly growing and in high demand. Load Balancing (L.B.) is crucial for optimizing the workload among Virtual Machines (V.M.s) to...
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Network Adjustment: Channel and Block Search Guided by Resource Utilization Ratio
It is an important problem to design resource-efficient neural architectures. One solution is adjusting the number of channels in each layer and the...
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Budgeted Adversarial Network Resource Utilization Games
This paper studies budgeted adversarial resource utilization game, where one of the player’s (designer) strategy is the utilization of resources...
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A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit
Resource allocation in Internet of Vehicles (IoV) edge computing is currently a research hotspot. Existing studies focus on social welfare or revenue...
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Resource Governor
Resource Governor provides a method for throttling applications at the SQL Server layer by imposing limits on CPU, memory, and physical I/O on...
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Dynamic Multi-Resource Fair Allocation with Elastic Demands
In this paper, we study dynamic multi-resource maximin share fair allocation based on the elastic demands of users in a cloud computing system. In...
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Design and realization of hybrid resource management system for heterogeneous cluster
As user-generated data diversifies, an increasing number of big data tasks now encompass unstructured data forms, including audio, imagery, and video...
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RAPTS: resource aware prioritized task scheduling technique in heterogeneous fog computing environment
The Internet of Things (IoT) is an emerging technology incorporating various hardware devices and software applications to exchange, analyze, and...
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Analyzing Resource Utilization in an HPC System: A Case Study of NERSC’s Perlmutter
Resource demands of HPC applications vary significantly. However, it is common for HPC systems to primarily assign resources on a per-node basis to...