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Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Cloud Computing Patterns Fundamentals to Design, Build, and Manage Cloud Applications
inferredcites →https://doi.org/10.1007/s10796-013-9459-0openalex-snapshot
A cost-aware auto-scaling approach using the workload prediction in service clouds
inferredcites →https://doi.org/10.1016/j.future.2010.10.016openalex-snapshot
Adaptive resource provisioning for read intensive multi-tier applications in the cloud
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Object mobility in large scale systems
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Host load prediction using linear models
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Evolutionary Optimal Virtual Machine Placement and Demand Forecaster for Cloud Computing
inferredcites →https://doi.org/10.1109/bigdata.congress.2013.12openalex-snapshot
Data Allocation in Scalable Distributed Database Systems Based on Time Series Forecasting
inferredcites →https://doi.org/10.1109/ccgrid.2011.49openalex-snapshot
Predictive Data Grouping and Placement for Cloud-Based Elastic Server Infrastructures
inferredcites →https://doi.org/10.1109/cloud.2011.42openalex-snapshot
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting
inferredcites →https://doi.org/10.1109/cloud.2012.103openalex-snapshot
A Performance Study on the VM Startup Time in the Cloud
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SmartScale: Automatic Application Scaling in Enterprise Clouds
inferredcites →https://doi.org/10.1109/cloud.2013.66openalex-snapshot
Elastic Resources Framework in IaaS, Preserving Performance SLAs
inferredcites →https://doi.org/10.1109/cloud.2015.37openalex-snapshot
PICS: A Public IaaS Cloud Simulator
inferredcites →https://doi.org/10.1109/cnsm.2010.5691343openalex-snapshot
PRESS: PRedictive Elastic ReSource Scaling for cloud systems
inferredcites →https://doi.org/10.1109/infcom.2012.6195785openalex-snapshot
Quality-assured cloud bandwidth auto-scaling for video-on-demand applications
inferredcites →https://doi.org/10.1109/inm.2007.374776openalex-snapshot
Dynamic Placement of Virtual Machines for Managing SLA Violations
inferredcites →https://doi.org/10.1109/pccc.2010.5682308openalex-snapshot
Regression based multi-tier resource provisioning for session slowdown guarantees
inferredcites →https://doi.org/10.1109/scc.2010.69openalex-snapshot
Online Self-Reconfiguration with Performance Guarantee for Energy-Efficient Large-Scale Cloud Computing Data Centers
inferredcites →https://doi.org/10.1109/sose.2013.40openalex-snapshot
Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment
inferredcites →https://doi.org/10.1109/tcc.2014.2350475openalex-snapshot
Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
inferredcites →https://doi.org/10.1109/tpds.2012.283openalex-snapshot
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
inferredcites →https://doi.org/10.1109/ucc.2011.66openalex-snapshot
Load Prediction and Hot Spot Detection Models for Autonomic Cloud Computing
inferredcites →https://doi.org/10.1109/ucc.2012.55openalex-snapshot
A High-Grained Traffic Prediction for Microseconds Power Control in Energy-Aware Routers
inferredcites →https://doi.org/10.1109/ucc.2014.45openalex-snapshot
Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds
inferredcites →https://doi.org/10.1145/2479871.2479899openalex-snapshot
Self-adaptive workload classification and forecasting for proactive resource provisioning
inferredcites →https://doi.org/10.1145/2494621.2494626openalex-snapshot
A flexible elastic control plane for private clouds
inferredcites →https://doi.org/10.1145/2503210.2503236openalex-snapshot
Cost-effective cloud HPC resource provisioning by building semi-elastic virtual clusters
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Dynamic resource allocation for shared data centers using online measurements
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Systems for Scalable Data Management
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VNF-DOC: A Dynamic Overload Controller for Virtualized Network Functions in Cloud
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Systeme für skalierbares Datenmanagement
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Polyglotte Persistenz im Datenmanagement
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Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks’ Workload Prediction
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Exploitation whale optimization based optimal offloading approach and topology optimization in a mobile ad hoc cloud environment
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Proactive resource management for cloud of services environments
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Mobile user behavior based topology formation and optimization in ad hoc mobile cloud
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An Analytic Model of Traffic Surges for Multi-Server Queues in Cloud Environments
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Reasoning Based Workload Performance Prediction in Cloud Data Centers
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Easily implementable time series forecasting techniques for resource provisioning in cloud computing
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A Literature Review and Taxonomy on Workload Prediction in Cloud Data Center
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Forecasting Cloud Workload through Reinforcement Learning-Based Ensemble Model
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iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning
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Evaluation of Load Prediction Techniques for Distributed Stream Processing
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CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing
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A Hybrid Autoscaling Algorithm for Microservices with Federated Load Balancing
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Cyc-PACE: Online Decomposition and Predictive Scaling for Non-Stationary Cyclical Loads
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Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization
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A Self-Optimized Generic Workload Prediction Framework for Cloud Computing
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QoS Promotion for Energy-Efficient Datacenters by Regulating Overloaded Workloads
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Wasserstein Adversarial Transformer for Cloud Workload Prediction
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A Cost-Effective Query Optimizer for Multi-Tenant Parallel RDBMSs Leveraging Workload Prediction
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