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The Impact of Soft Resource Allocation on n-Tier Application Scalability

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44884-5_25openalex-snapshot
Online Response Time Optimization of Apache Web Server
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Bottleneck Detection Using Statistical Intervention Analysis
inferredcites →https://doi.org/10.1007/978-3-642-10445-9_9openalex-snapshot
A Cost-Sensitive Adaptation Engine for Server Consolidation of Multitier Applications
inferredcites →https://doi.org/10.1109/icse.2003.1201226openalex-snapshot
The deployer's problem: configuring application servers for performance and reliability
inferredcites →https://doi.org/10.1109/iiswc.2009.5306791openalex-snapshot
Experimental evaluation of N-tier systems: Observation and analysis of multi-bottlenecks
inferredcites →https://doi.org/10.1109/infcom.2004.1356971openalex-snapshot
The impact of concurrency gains on the analysis and control of multi-threaded Internet services
inferredcites →https://doi.org/10.1109/ipccc.2001.918636openalex-snapshot
Configuration of distributed message converter systems using performance modeling
inferredcites →https://doi.org/10.1109/ipdps.2008.4536267openalex-snapshot
Understanding tuning complexity in multithreaded and hybrid web servers
inferredcites →https://doi.org/10.1109/ipdps.2010.5470430openalex-snapshot
ADEPT scalability predictor in support of adaptive resource allocation
inferredcites →https://doi.org/10.1109/qest.2006.23openalex-snapshot
Layered Bottlenecks and Their Mitigation
inferredcites →https://doi.org/10.1145/1071021.1071027openalex-snapshot
A method for evaluating the impact of software configuration parameters on e-commerce sites
inferredcites →https://doi.org/10.1145/1140103.1140305openalex-snapshot
Understanding the management of client perceived response time
inferredcites →https://doi.org/10.1145/1140277.1140305openalex-snapshot
Understanding the management of client perceived response time
inferredcites →https://doi.org/10.1145/1165389.945471openalex-snapshot
Capriccio
inferredcites →https://doi.org/10.1145/1254882.1254899openalex-snapshot
Optimizing system configurations quickly by guessing at the performance
inferredcites →https://doi.org/10.1145/1272996.1273020openalex-snapshot
Automatic configuration of internet services
inferredcites →https://doi.org/10.1145/1272996.1273021openalex-snapshot
Comparing the performance of web server architectures
inferredcites →https://doi.org/10.1145/1272998.1273020openalex-snapshot
Automatic configuration of internet services
inferredcites →https://doi.org/10.1145/1272998.1273021openalex-snapshot
Comparing the performance of web server architectures
inferredcites →https://doi.org/10.1145/1774088.1774172openalex-snapshot
CloudXplor
inferredcites →https://doi.org/10.1145/356733.356735openalex-snapshot
The Operational Analysis of Queueing Network Models
inferredcites →https://doi.org/10.1145/502034.502057openalex-snapshot
SEDA
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SEDA
inferredcites →https://doi.org/10.23919/acc.2004.1383761openalex-snapshot
Using MIMO linear control for load balancing in computing systems
inferredcites →https://doi.org/10.5555/776816.776875openalex-snapshot
The deployer's problem: configuring application servers for performance and reliability

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An reinforcement learning approach for allocating software resources
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Multi-level Elasticity Control of Cloud Services
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Self-scalable Benchmarking as a Service with Automatic Saturation Detection
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Constraint aware profit maximization scheduling of tasks in heterogeneous datacenters
inferred← citeshttps://doi.org/10.1007/s11704-012-2107-xopenalex-snapshot
Energy-aware application performance management in virtualized data centers
inferred← citeshttps://doi.org/10.1007/s11704-021-0118-1openalex-snapshot
A bi-metric autoscaling approach for n-tier web applications on kubernetes
inferred← citeshttps://doi.org/10.1016/j.future.2013.02.002openalex-snapshot
Two levels autonomic resource management in virtualized IaaS
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CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system
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Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud Systems
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.000-6openalex-snapshot
An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems
inferred← citeshttps://doi.org/10.1109/cloud.2011.43openalex-snapshot
Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2012.98openalex-snapshot
Expertus: A Generator Approach to Automate Performance Testing in IaaS Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2012.99openalex-snapshot
Challenges and Opportunities in Consolidation at High Resource Utilization: Non-monotonic Response Time Variations in n-Tier Applications
inferred← citeshttps://doi.org/10.1109/cloud.2013.32openalex-snapshot
An Experimental Study of Rapidly Alternating Bottlenecks in n-Tier Applications
inferred← citeshttps://doi.org/10.1109/cloud.2014.14openalex-snapshot
IO Performance Interference among Consolidated n-Tier Applications: Sharing Is Better Than Isolation for Disks
inferred← citeshttps://doi.org/10.1109/cloud.2014.51openalex-snapshot
The Impact of Software Resource Allocation on Consolidated n-Tier Applications
inferred← citeshttps://doi.org/10.1109/cloud.2016.0045openalex-snapshot
Performance Interference of Memory Thrashing in Virtualized Cloud Environments: A Study of Consolidated n-Tier Applications
inferred← citeshttps://doi.org/10.1109/cogmi52975.2021.00027openalex-snapshot
PerfML: Smart Management of Complex Performance Data and Analytics
inferred← citeshttps://doi.org/10.1109/cogmi62246.2024.00024openalex-snapshot
A Study of Response Time Instability of Microservices at High Resource Utilization in the Cloud
inferred← citeshttps://doi.org/10.1109/icdcs.2013.17openalex-snapshot
Detecting Transient Bottlenecks in n-Tier Applications through Fine-Grained Analysis
inferred← citeshttps://doi.org/10.1109/icdcs.2017.198openalex-snapshot
The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification
inferred← citeshttps://doi.org/10.1109/icdcs.2017.22openalex-snapshot
DCM: Dynamic Concurrency Management for Scaling n-Tier Applications in Cloud
inferred← citeshttps://doi.org/10.1109/icdcs.2017.228openalex-snapshot
milliScope: A Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services
inferred← citeshttps://doi.org/10.1109/icdcs.2019.00152openalex-snapshot
Tail Amplification in n-Tier Systems: A Study of Transient Cross-Resource Contention Attacks
inferred← citeshttps://doi.org/10.1109/icws.2013.71openalex-snapshot
A Self-Optimizing Workload Management Solution for Cloud Applications
inferred← citeshttps://doi.org/10.1109/icws.2016.73openalex-snapshot
Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems
inferred← citeshttps://doi.org/10.1109/icws.2017.57openalex-snapshot
Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems
inferred← citeshttps://doi.org/10.1109/ipdps.2012.66openalex-snapshot
Automated and Agile Server Parameter Tuning with Learning and 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/ipdps47924.2020.00046openalex-snapshot
Mitigating Large Response Time Fluctuations through Fast Concurrency Adapting in Clouds
inferred← citeshttps://doi.org/10.1109/iri.2013.6642493openalex-snapshot
An automated approach to create, store, and analyze large-scale experimental data in clouds
inferred← citeshttps://doi.org/10.1109/isncc.2015.7238586openalex-snapshot
Performance implications of over-allocation of virtual CPUs
inferred← citeshttps://doi.org/10.1109/scc.2012.85openalex-snapshot
Profit-Based Experimental Analysis of IaaS Cloud Performance: Impact of Software Resource Allocation
inferred← citeshttps://doi.org/10.1109/scc.2013.42openalex-snapshot
Revisiting Performance Interference among Consolidated n-Tier Applications: Sharing is Better Than Isolation
inferred← citeshttps://doi.org/10.1109/scc.2015.107openalex-snapshot
Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services
inferred← citeshttps://doi.org/10.1109/scc.2016.84openalex-snapshot
SRConfig: An Empirical Method of Interdependent Soft Configurations for Improving Performance in n-Tier Application
inferred← citeshttps://doi.org/10.1109/srds.2012.61openalex-snapshot
Response Time Reliability in Cloud Environments: An Empirical Study of n-Tier Applications at High Resource Utilization
inferred← citeshttps://doi.org/10.1109/tcc.2014.2321169openalex-snapshot
A Self-Scalable and Auto-Regulated Request Injection Benchmarking Tool for Automatic Saturation Detection
inferred← citeshttps://doi.org/10.1109/tpds.2018.2871086openalex-snapshot
Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud
inferred← citeshttps://doi.org/10.1109/tpds.2022.3151512openalex-snapshot
Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications
inferred← citeshttps://doi.org/10.1109/tsc.2013.46openalex-snapshot
Variations in Performance and Scalability: An Experimental Study in IaaS Clouds Using Multi-Tier Workloads
inferred← citeshttps://doi.org/10.1145/2371536.2371544openalex-snapshot
When average is not average
inferred← citeshttps://doi.org/10.1145/2524211.2524220openalex-snapshot
Impact of DVFS on n-tier application performance
inferred← citeshttps://doi.org/10.1145/3340462openalex-snapshot
Mitigating Tail Response Time of n-Tier Applications
inferred← citeshttps://doi.org/10.13140/2.1.1479.0402openalex-snapshot
Lightning in the Cloud: A Study of Very Short Bottlenecks on n-Tier Web Application Performance
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