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Prediction of quality of service of fog nodes for service recommendation in fog computing based on trustworthiness of users
Predicting the quality of service (QoS) values of fog nodes is essential for IoT devices. In an open and dynamic environment (such as fog computing),...
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Downlink throughput prediction using machine learning models on 4G-LTE networks
With the enormous evolution of the smartphone, especially with the appearance of the fourth generation (4G) cellular networks, the demand for...
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Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction
Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a...
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An LSTM-Based Method for Automatic Reliability Prediction of Cognitive Radio Vehicular Ad Hoc Networks
Reliability is a critical issue in vehicular networks. A deep learning ( DL) method is proposed in this study to automatically predict the reliability...
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Utilization-prediction-aware energy optimization approach for heterogeneous GPU clusters
Optimizing energy consumption in heterogeneous GPU clusters is of paramount importance to enhance overall system efficiency and reduce operational...
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Predicted Robustness as QoS for Deep Neural Network Models
The adoption of deep neural network (DNN) model as the integral part of real-world software systems necessitates explicit consideration of their...
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Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes
Quality of Service (QoS) of virtual machines (VMs) is guaranteed by the Service Level Agreements (SLAs) signed between users and service providers...
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OMBM-ML: efficient memory bandwidth management for ensuring QoS and improving server utilization
As cloud data centers are dramatically growing, various applications are moved to cloud data centers owing to cost benefits for maintenance and...
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QoS-driven metaheuristic service composition schemes: a comprehensive overview
Services Oriented Architecture provides Web Services (WSs) as reusable software components that can be applied to create more complicate composite...
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Simulated dataset collection method of dynamic quality of services (QoS) metrics
The dynamic behavior of web services is critical for researchers to determine their performance at different times. Many existing studies present the...
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Hybrid optimization-enabled deep Q network for fault prediction in service-oriented architecture
Fault prediction in service-oriented architecture-based models has been recognized as one of the essential processes to reduce computational expenses...
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Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques
Host load prediction is essential in computing to improve resource utilization and for achieving service level agreements. However, due to variations...
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BiLSTM-based selection and prediction of optimal polling systems for multiple server numbers
Facing the demands of different service scenarios and the large number of base stations deployed in the context of the 5G era, network slicing was...
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Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks
Over the past few years, network slicing has emerged as a pivotal component within the realm of 5G technology. It plays a critical role in...
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NAARPreC: A Novel Approach for Adaptive Resource Prediction in Cloud
Cloud computing is one of the most widely used web-based technologies for providing computer resources or network infrastructure services. End-users...
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Utilizing multi-population ant colony system and exponential grey prediction model for multi-objective virtual machine consolidation in Cloud Data Centers
Cloud Data Centers (CDCs) play a crucial role in meeting the increasing demand for scalable computing resources, facilitated by virtualization...
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Fast depth intra mode decision using intra prediction cost and probability in 3D-HEVC
3D-HEVC, which is a HEVC-compatible 3D video coding standard, was mainly developed to efficiently compress both a texture image and a depth map....
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Resource Management Through Workload Prediction Using Deep Learning in Fog-Cloud Architecture
Workload prediction involves forecasting the future resource demands and patterns for a computing system, such as cloud or fog infrastructure. It...
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Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center
The abstract should briefly summarize the contents of the Server energy consumption of data center is an important issue of energy management. Energy...
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Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review
Cardiovascular disease holds the position of being the foremost cause of death worldwide. Heart Disease Prediction (HDP) is a difficult task as it...
