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Resource Queueing System for Analysis of Network Slicing Performance with QoS-Based Isolation
Network slicing is defined as one of the main components of fifth-generation mobile communications that can solve the problem of colossal growth in...
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Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms
Spark Streaming is currently one of the mainstream stream processing frameworks which process real-time stream data by using micro-batch approach....
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gCFS: completely fair scheduling on multiple GPUs for improved multi-DNN execution in terms of performance isolation
Priority-based performance isolation among DNN tasks in a GPU cluster should be achieved from the perspective of GPUs computing DNNs, rather than the...
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Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization
The purpose of resource scheduling is to deal with all kinds of unexpected events that may occur in life, such as fire, traffic jam, earthquake and...
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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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University Innovation and Entrepreneurship Education Resource Sharing System Based on Cloud Service Platform
There may be situations of resource dispersion, information isolation, and duplicate construction among different universities, resulting in low...
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A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization
Many isolation approaches, such as zoning search, have been proposed to preserve the diversity in the decision space of multimodal multi-objective...
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Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset
In recent years, many researchers focused on unsupervised learning for network anomaly detection in edge devices to identify attacks. The deployment...
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Reduce Query Resource Use
The previous chapter was focused on ensuring that your queries were able to take advantage of the indexes in your database. In this chapter, we’ll be...
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Priority-based concurrency and shared resource access mechanisms for nested intercomponent requests in CAmkES
Component-based design encapsulates and isolates state and the operations on it, but timing semantics cross-cut these boundaries when a real-time...
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EPMA: Elastic Platform for Microservices-based Applications: Towards Optimal Resource Elasticity
This research paper sets forward an autoscaler, called EPMA, (Elastic Platform for Microservice-based Applications). Its main objective corresponds...
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Hardware Isolation Support for Low-Cost SoC-FPGAs
In the last years, System-on-Chip (SoC)-FPGAs have been widely used in Mixed-Criticality Systems, where multiple applications with different...
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Optimization of network resource management based on software-defined networking in the 5G environment
The rapid development of mobile communication technology has led to the concept of the fifth generation mobile communication network (5G). In order...
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Accentuating technology acceptance among academicians: A conservation of resource perspective in the Malaysian context
Although recent research looked at the unified theory of acceptance and use of technology (UTAUT) model among academicians, there is still lacking an...
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Long-Term Prediction of Cloud Resource Usage in High-Performance Computing
Cloud computing is gaining popularity in the context of high-performance computing applications. Among other things, the use of cloud resources...
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MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-Based IoT Deployments
We present MSDBench – a set of benchmarks designed to illuminate the effects of deployment choices and operating system abstractions on microservices...
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ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
We present ContainerGym, a benchmark for reinforcement learning inspired by a real-world industrial resource allocation task. The proposed benchmark...
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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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Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers
Over the past two years, the pandemic-induced demand for resources and services has accelerated. The paradigm of softwarization as well as...
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Dynamic resource allocation in cloud computing: analysis and taxonomies
In recent years, companies have used the cloud computing paradigm to run various computing and storage workloads. The cloud offers faster and more...
