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From Data Center Resource Allocation to Control Theory and Back
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0016-0032(62)91109-2openalex-snapshot
Automatic control systems
inferredcites →https://doi.org/10.1109/cloud.2009.72openalex-snapshot
EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments
inferredcites →https://doi.org/10.1109/icac.2006.1662383openalex-snapshot
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
inferredcites →https://doi.org/10.1109/icac.2007.28openalex-snapshot
On the Use of Fuzzy Modeling in Virtualized Data Center Management
inferredcites →https://doi.org/10.1145/1555228.1555261openalex-snapshot
Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters
inferredcites →https://doi.org/10.1145/1555271.1555273openalex-snapshot
Automatic exploration of datacenter performance regimes
inferredcites →https://doi.org/10.1145/1555271.1555275openalex-snapshot
Automated control in cloud computing
inferredcites →https://doi.org/10.32743/unitech.2022.98.5.13710openalex-snapshot
AUTOMATIC CONTROL SYSTEMS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
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Unequal‐interval based loosely coupled control method for auto‐scaling heterogeneous cloud resources for web applications
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Survey of Elasticity Management Solutions in Cloud Computing
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Resource Scheduling in Data-Centric Systems
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A Queue-Based Bandwidth Allocation Method for Streaming Media Servers in M-Learning VoD Systems
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Polyglot Persistence in Data Management
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Auto-scaling for a Streaming Architecture with Fuzzy Deep Reinforcement Learning
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Polyglotte Persistenz im Datenmanagement
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An Architecture for Automatic Scaling of Replicated Services
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Cloud Elasticity: A Survey
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Dynamic Provisioning of Cloud Resources Based on Workload Prediction
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A Comprehensive Evaluation Method for Container Auto-Scaling Algorithms on Cloud
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Random task scheduling scheme based on reinforcement learning in cloud computing
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Cost-aware horizontal scaling of NoSQL databases using probabilistic model checking
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A control theoretical view of cloud elasticity: taxonomy, survey and challenges
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A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
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RLPAS: Reinforcement Learning-based Proactive Auto-Scaler for Resource Provisioning in Cloud Environment
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A systematic review on cloud computing
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Learning-based dynamic scalable load-balanced firewall as a service in network function-virtualized cloud computing environments
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ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud
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Cloud Resource Management and Scheduling
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Cloud Self-Organization and Big Data Applications
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Cloud Resource Management and Scheduling
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Cloud resource management and scheduling
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A hybrid cloud controller for vertical memory elasticity: A control-theoretic approach
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A Resource Co-Allocation method for load-balance scheduling over big data platforms
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Performance modelling and verification of cloud-based auto-scaling policies
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Management of autoscaling serverless functions in edge computing via Q-Learning
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Application of feedback control on the cloud-based web simulation system
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Analytics in/for cloud-an interdependence: A review
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HAS: Hybrid auto-scaler for resource scaling in cloud environment
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An evaluation of multi-model self-managing control schemes for adaptive performance management of software systems
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A Proactive Cloud Scaling Model Based on Fuzzy Time Series and SLA Awareness
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EWPTNN: An Efficient Workload Prediction Model in Cloud Computing Using Two-Stage Neural Networks
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Optimizing Cloud providers revenues via energy efficient server allocation
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A parallel framework for Bayesian reinforcement learning
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Neural adaptive admission control framework: SLA-driven action termination for real-time application service management
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Scale-Down Methods for Optimizing Resource Allocation In Providing Virtual Laboratory Environment by Cloud Computing
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SLA-Risk-Aware Ensemble Learning for Intelligent Cloud Automation Decision Support
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Maximizing profit of Cloud Brokers under Quantized Billing Cycles: a Dynamic pricing strategy based on ski-rental problem
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Self-adaptive software meets control theory: A preliminary approach supporting reliability requirements
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The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers
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Cost-Efficient Virtual Machine Provisioning for Multi-tier Web Applications and Video Transcoding
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An Auto-Scaling Framework for Controlling Enterprise Resources on Clouds
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Dependable Horizontal Scaling Based on Probabilistic Model Checking
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Elastic Virtual Machine Scheduling for Continuous Air Traffic Optimization
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A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling
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Performance Modelling and Verification of Cloud-Based Auto-Scaling Policies
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AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments
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Self-Adaptive and Resource-Efficient SLA Enactment for Cloud Computing Infrastructures
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CRAMP: Cost-efficient Resource Allocation for Multiple web applications with Proactive scaling
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Auto-scaling Compute and Network Resources in a Data-center
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Reinforcement Learning for Autoscaling in Cloud Environments: A Case Study from Industry
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A control theory approach for managing cloud computing resources: A proof-of-concept on memory partitioning
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The Unobservability Problem in Clouds
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Optimal route selection in complex multi-stage supply chain networks using SARSA(λ)
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Adaptive Resource Provisioning based on Application State
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Scheduling model of access requests in open storage architectures
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Towards the Scheduling of Access Requests in Cloud Storage
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A survey on elastic resource allocation algorithm for cloud infrastructure
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Reinforcement learning based autonomic virtual machine management in clouds
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A-SARSA: A Predictive Container Auto-Scaling Algorithm Based on Reinforcement Learning
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Modeling of the Data Center Resource Management Using Reinforcement Learning
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Mitigating Large Response Time Fluctuations through Fast Concurrency Adapting in Clouds
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Multi-Dimensional Autoscaling in Microservices Using Reinforcement Learning
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Prediction-Based Dynamic Resource Allocation for Video Transcoding in Cloud Computing
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Using Ant Colony System to Consolidate Multiple Web Applications in a Cloud Environment
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Reinforcement Learning Applicability for Resource-Based Auto-scaling in Serverless Edge Applications
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Feedback Control Algorithms to Deploy and Scale Multiple Web Applications per Virtual Machine
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On estimating actuation delays in elastic computing systems
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Visual Assessment of Cloud Resource Consolidation Managers Using Convex Hulls
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Resource control system stability of mobile data centers
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Inverse Queuing Model-Based Feedback Control for Elastic Container Provisioning of Web Systems in Kubernetes
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Providing Performance Guarantees for Cloud-Deployed Applications
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Dynamie management of data center resources using reinforcement learning
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Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms
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Serverless Function Latency Model in Edge Computing
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Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications
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Kriging-Based Self-Adaptive Cloud Controllers
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Elasticity in Cloud Computing: State of the Art and Research Challenges
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A multi-model framework to implement self-managing control systems for QoS management
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Automated design of self-adaptive software with control-theoretical formal guarantees
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Autonomic resource provisioning for cloud-based software
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Control Theory for Model-based Performance-driven Software Adaptation
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Automated multi-objective control for self-adaptive software design
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A Systematic Review of Service Level Management in the Cloud
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Challenges in Applying Control Theory to Software Performance Engineering for Adaptive Systems
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Automated control of multiple software goals using multiple actuators
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Auto-Scaling Web Applications in Clouds
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Performance-Aware Management of Cloud Resources
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Autoscaler Evaluation and Configuration: A Practitioner's Guideline
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Challenges in Designing Robust RL-Based Autoscalers
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B3: Fuzzy-Based Data Center Load Optimization in Cloud Computing
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An auto-scaling approach for serverless environments based on a multi-expert consensus mechanism
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Prediction-based VM provisioning and admission control for multi-tier web applications
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A hybrid auto-scaling technique for clouds processing applications with service level agreements
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Severity: a QoS-aware approach to cloud application elasticity
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Research on Auto-Scaling of Web Applications in Cloud: Survey, Trends and Future Directions
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A Learning Architecture to Support Autonomous Resource Scheduling and Allocation in the Cloud
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The Application of Machine Learning to Optimise Live Migration in Cloud Data Centres
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Central Controller Framework for Mobile Cloud Computing
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A Cost-AWARE Approach Based ON Learning Automata FOR Resource Auto-Scaling IN Cloud Computing Environment
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ASTAW: Auto-Scaling Threshold-based Approach for Web Application in Cloud Computing Environment
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Massively parallel stream processing with latency guarantees
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Intelligent Runtime Adaptation of Cloud-Native Microservices through Design-Principle-Aware Resource Management
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Auto-Scaling Techniques for Clouds Processing Requests with Service Level Agreements
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Comprehensive educational assistant application for enhanced learning support
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Design and implementation of an open interface-based event forwarder solution for network element events: A comprehensive review and analysis
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A nonlinear feedback control approach for differentiated performance management in autonomic systems
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Prediction methods for effective resource provisioning in cloud computing: A survey
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Workload Forecasting Methods in Cloud Environments: An Overview
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Comparison of Reinforcement Learning Algorithms for Edge Computing Applications Deployed by Serverless Technologies
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Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management
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A Reinforcement-Learning-Based Model for Resilient Load Balancing in Hyperledger Fabric
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Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints
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AI-Driven Auto-Scaling for Cloud Applications
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Clustering Algorithms for Scale-free Networks and Applications to Cloud Resource Management
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A Systematic Mapping Study on Cloud Computing
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An Auction-driven Self-organizing Cloud Delivery Model
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Distributed Hierarchical Control versus an Economic Model for Cloud Resource Management
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Auto-scaling Web Applications in Clouds: A Taxonomy and Survey
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A Resource Management Protocol for Mobile Cloud Using Auto-Scaling
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A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling
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Performance-Aware Management of Cloud Resources: A Taxonomy and Future Directions
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ADARES: Adaptive Resource Management for Virtual Machines
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NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment
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Dynamic Capacity Planning with Comprehensive Formation of SLAs in Clouds
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Bulut Uygulamalarında Evrensel Duyarlılık Analizi
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CloudOpt: multi-goal optimization of application deployments across a cloud
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A Novel Approach for Optimization Auto-Scaling in Cloud Computing Environment
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A Novel Approach for Optimization Auto-Scaling in Cloud Computing Environment
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Harnessing Cloud Computing for Dynamic Resource Requirement by Database Workloads
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Description and evaluation of elasticity strategies for business processes in the Cloud
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Flexible framework for elasticity in cloud computing
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Model-based reinforcement learning for dynamic resource allocation in cloud environments
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Formalisation et évaluation de stratégies d’élasticité multi-couches dans le Cloud
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Towards smart services with reusable and adaptable connected objects : An application to wearable non-invasive biomedical sensors
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