On the public citation graph
Automated and Agile Server Parameter Tuning with Learning and Control
0 signed · 46 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11581062_43openalex-snapshot
Automatic Performance Tuning for J2EE Application Server Systems
inferredcites →https://doi.org/10.1109/fuzzy.1992.258596openalex-snapshot
Real-time supervised structure/parameter learning for fuzzy neural network
inferredcites →https://doi.org/10.1109/hpdc.2004.4openalex-snapshot
Automated cluster-based Web service performance tuning
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.2006.1662403openalex-snapshot
Autonomic Provisioning of Backend Databases in Dynamic Content Web Servers
inferredcites →https://doi.org/10.1109/icac.2008.21openalex-snapshot
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
inferredcites →https://doi.org/10.1109/icdcs.2006.23openalex-snapshot
Controlling Quality of Service in Multi-Tier Web Applications
inferredcites →https://doi.org/10.1109/icdcs.2009.76openalex-snapshot
A Reinforcement Learning Approach to Online Web Systems Auto-configuration
inferredcites →https://doi.org/10.1109/icpp.2011.30openalex-snapshot
aMOSS: Automated Multi-objective Server Provisioning with Stress-Strain Curving
inferredcites →https://doi.org/10.1109/infcom.2011.5935254openalex-snapshot
Consolidating virtual machines with dynamic bandwidth demand in data centers
inferredcites →https://doi.org/10.1109/ipdps.2009.5161067openalex-snapshot
Coupled placement in modern data centers
inferredcites →https://doi.org/10.1109/ipdps.2011.98openalex-snapshot
Shared Resource Monitoring and Throughput Optimization in Cloud-Computing Datacenters
inferredcites →https://doi.org/10.1109/ipdps.2011.99openalex-snapshot
The Impact of Soft Resource Allocation on n-Tier Application Scalability
inferredcites →https://doi.org/10.1109/iwqos.2011.5931340openalex-snapshot
PERFUME: Power and performance guarantee with fuzzy MIMO control in virtualized servers
inferredcites →https://doi.org/10.1109/mascots.2010.24openalex-snapshot
Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for End-to-end Delay Guarantee
inferredcites →https://doi.org/10.1109/tpds.2011.88openalex-snapshot
Efficient Server Provisioning with Control for End-to-End Response Time Guarantee on Multitier Clusters
inferredcites →https://doi.org/10.1109/wwc.2002.1226489openalex-snapshot
Specification and implementation of dynamic Web site benchmarks
inferredcites →https://doi.org/10.1145/1272996.1273020openalex-snapshot
Automatic configuration of internet services
inferredcites →https://doi.org/10.1145/1272998.1273020openalex-snapshot
Automatic configuration of internet services
inferredcites →https://doi.org/10.1145/1342171.1342172openalex-snapshot
Agile dynamic provisioning of multi-tier Internet applications
inferredcites →https://doi.org/10.1145/1380584.1380585openalex-snapshot
A survey of autonomic computing—degrees, models, and applications
inferredcites →https://doi.org/10.1145/1519065.1519068openalex-snapshot
Automated control of multiple virtualized resources
inferredcites →https://doi.org/10.1145/1555228.1555267openalex-snapshot
Injecting realistic burstiness to a traditional client-server benchmark
inferredcites →https://doi.org/10.1145/1809049.1809052openalex-snapshot
Efficient resource provisioning in compute clouds via VM multiplexing
inferredcites →https://doi.org/10.1145/1809049.1809053openalex-snapshot
Autonomic mix-aware provisioning for non-stationary data center workloads
inferredcites →https://doi.org/10.5555/1496950.1496967openalex-snapshot
Burstiness in multi-tier applications: symptoms, causes, and new models
inferredcites →https://doi.org/10.5555/1996039.1996073openalex-snapshot
PERFUME: power and performance guarantee with fuzzy MIMO control in virtualized servers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00521-018-3528-8openalex-snapshot
NFC-ARP: neuro-fuzzy controller for adaptive resource provisioning in virtualized environments
inferred← citeshttps://doi.org/10.1007/s11390-014-1455-4openalex-snapshot
Autonomic Performance and Power Control on Virtualized Servers: Survey, Practices, and Trends
inferred← citeshttps://doi.org/10.1016/j.jpdc.2014.01.004openalex-snapshot
Multi-tier service differentiation by coordinated learning-based resource provisioning and admission control
inferred← citeshttps://doi.org/10.1109/cgc.2013.31openalex-snapshot
Fuzzy-Q & E: Achieving QoS Guarantees and Energy Savings for Cloud Applications with Fuzzy Control
inferred← citeshttps://doi.org/10.1109/icccn.2018.8487324openalex-snapshot
PETS: Bottleneck-Aware Spark Tuning with Parameter Ensembles
inferred← citeshttps://doi.org/10.1109/icpads.2012.20openalex-snapshot
Multi-tier Service Differentiation: Coordinated Resource Provisioning and Admission Control
inferred← citeshttps://doi.org/10.1109/ipdps.2013.12openalex-snapshot
V-Cache: Towards Flexible Resource Provisioning for Multi-tier Applications in IaaS Clouds
inferred← citeshttps://doi.org/10.1109/ipdps.2014.41openalex-snapshot
Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters
inferred← citeshttps://doi.org/10.1109/iscc47284.2019.8969737openalex-snapshot
ADAPT-T: An Adaptive Algorithm for Auto-Tuning Worker Thread Pool Size in Application Servers
inferred← citeshttps://doi.org/10.1109/mascots.2012.41openalex-snapshot
Coordinated VM Resizing and Server Tuning: Throughput, Power Efficiency and Scalability
inferred← citeshttps://doi.org/10.1109/mascots.2013.12openalex-snapshot
Self-Tuning Batching with DVFS for Improving Performance and Energy Efficiency in Servers
inferred← citeshttps://doi.org/10.1109/qrs-c.2016.52openalex-snapshot
Performance Analysis of Cloud Service Considering Reliability
inferred← citeshttps://doi.org/10.1109/smartworld.2018.00263openalex-snapshot
A Kalman Filter Based Hill-Climbing Strategy for Application Server Configuration
inferred← citeshttps://doi.org/10.1109/tc.2013.184openalex-snapshot
Coordinated Power and Performance Guarantee with Fuzzy MIMO Control in Virtualized Server Clusters
inferred← citeshttps://doi.org/10.1109/tc.2015.2428695openalex-snapshot
Elastic Power-Aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters
inferred← citeshttps://doi.org/10.1109/tpds.2013.115openalex-snapshot
Automated and Agile Server ParameterTuning by Coordinated Learning and Control
inferred← citeshttps://doi.org/10.1109/tpds.2018.2865927openalex-snapshot
Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters
inferred← citeshttps://doi.org/10.1145/2720023openalex-snapshot
Self-Tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.