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StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.3211openalex-snapshot
QoS ‐aware resource scheduling using whale optimization algorithm for microservice applications
inferredcites →https://doi.org/10.1002/spe.3241openalex-snapshot
Microservice reference architecture design: A multi‐case study
inferredcites →https://doi.org/10.1002/spe.3271openalex-snapshot
Practice of Alibaba cloud on elastic resource provisioning for large‐scale microservices cluster
inferredcites →https://doi.org/10.1007/978-3-030-03596-9_57openalex-snapshot
A Fuzzy-Based Auto-scaler for Web Applications in Cloud Computing Environments
inferredcites →https://doi.org/10.1007/s10489-023-04590-9openalex-snapshot
An integrated approach implementing sliding window and DTW distance for time series forecasting tasks
inferredcites →https://doi.org/10.1016/j.jpdc.2024.104837openalex-snapshot
Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model
inferredcites →https://doi.org/10.1016/j.jss.2019.02.052openalex-snapshot
ElasticSFC: Auto-scaling techniques for elastic service function chaining in network functions virtualization-based clouds
inferredcites →https://doi.org/10.1016/j.measen.2023.100939openalex-snapshot
EdgeAISim: A toolkit for simulation and modelling of AI models in edge computing environments
inferredcites →https://doi.org/10.1109/icac.2019.00028openalex-snapshot
Autonomic Forecasting Method Selection: Examination and Ways Ahead
inferredcites →https://doi.org/10.1109/iccasit58768.2023.10351561openalex-snapshot
Dynamic Scalability Mechanisms for Microservices in Federated Cloud Platform
inferredcites →https://doi.org/10.1109/icdcs.2019.00017openalex-snapshot
HyScale: Hybrid and Network Scaling of Dockerized Microservices in Cloud Data Centres
inferredcites →https://doi.org/10.1109/icdcs.2019.00197openalex-snapshot
ATOM: Model-Driven Autoscaling for Microservices
inferredcites →https://doi.org/10.1109/noms.2012.6211900openalex-snapshot
An adaptive hybrid elasticity controller for cloud infrastructures
inferredcites →https://doi.org/10.1109/noms17429.2012openalex-snapshot
2012 IEEE Network Operations and Management Symposium
inferredcites →https://doi.org/10.1109/noms47738.2020.9110428openalex-snapshot
Adaptive scaling of Kubernetes pods
inferredcites →https://doi.org/10.1109/padsw.2018.8644579openalex-snapshot
How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace
inferredcites →https://doi.org/10.1109/saso.2018.00015openalex-snapshot
Forecasting Models for Self-Adaptive Cloud Applications: A Comparative Study
inferredcites →https://doi.org/10.1109/saso.2019.00018openalex-snapshot
Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing
inferredcites →https://doi.org/10.1109/tcc.2022.3163357openalex-snapshot
Dynamic Multi-Metric Thresholds for Scaling Applications Using Reinforcement Learning
inferredcites →https://doi.org/10.1109/tpds.2018.2870389openalex-snapshot
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field
inferredcites →https://doi.org/10.1109/tsc.2017.2711009openalex-snapshot
Elasticity in Cloud Computing: State of the Art and Research Challenges
inferredcites →https://doi.org/10.1109/tsc.2022.3166553openalex-snapshot
Serverless Computing: State-of-the-Art, Challenges and Opportunities
inferredcites →https://doi.org/10.1145/2806777openalex-snapshot
Proceedings of the Sixth ACM Symposium on Cloud Computing
inferredcites →https://doi.org/10.1145/2806777.2809955openalex-snapshot
Kubernetes and the path to cloud native
inferredcites →https://doi.org/10.1145/2950290openalex-snapshot
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/2950290.2950328openalex-snapshot
A discrete-time feedback controller for containerized cloud applications
inferredcites →https://doi.org/10.1145/3030207.3030214openalex-snapshot
An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows
inferredcites →https://doi.org/10.1145/3184407openalex-snapshot
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering
inferredcites →https://doi.org/10.1145/3236332openalex-snapshot
Quantifying Cloud Performance and Dependability
inferredcites →https://doi.org/10.1145/3297663.3310309openalex-snapshot
Performance Modeling for Cloud Microservice Applications
inferredcites →https://doi.org/10.1145/3297858openalex-snapshot
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems
inferredcites →https://doi.org/10.1145/3297858.3304013openalex-snapshot
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems
inferredcites →https://doi.org/10.1145/3342195openalex-snapshot
Proceedings of the Fifteenth European Conference on Computer Systems
inferredcites →https://doi.org/10.1145/3445814openalex-snapshot
Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
inferredcites →https://doi.org/10.1145/3445814.3446693openalex-snapshot
Sinan: ML-based and QoS-aware resource management for cloud microservices
inferredcites →https://doi.org/10.1145/3465630openalex-snapshot
Optimizing the Performance of Containerized Cloud Software Systems Using Adaptive PID Controllers
inferredcites →https://doi.org/10.1145/3472883openalex-snapshot
Proceedings of the ACM Symposium on Cloud Computing
inferredcites →https://doi.org/10.1145/3472883.3487003openalex-snapshot
Characterizing Microservice Dependency and Performance
inferredcites →https://doi.org/10.1145/3480001.3480016openalex-snapshot
Workload Prediction of Serverless Computing
inferredcites →https://doi.org/10.1145/3502181openalex-snapshot
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
inferredcites →https://doi.org/10.1145/3502181.3531460openalex-snapshot
Practical Efficient Microservice Autoscaling with QoS Assurance
inferredcites →https://doi.org/10.1145/3502724openalex-snapshot
Dynamic Evaluation of Microservice Granularity Adaptation
inferredcites →https://doi.org/10.1145/3510415openalex-snapshot
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
inferredcites →https://doi.org/10.1145/3524114openalex-snapshot
esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments
inferredcites →https://doi.org/10.1145/3542929openalex-snapshot
Proceedings of the 13th Symposium on Cloud Computing
inferredcites →https://doi.org/10.1145/3556677openalex-snapshot
Proceedings of the 2022 6th International Conference on Deep Learning Technologies
inferredcites →https://doi.org/10.1145/3580305.3599465openalex-snapshot
PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v37i13.26852openalex-snapshot
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
inferredcites →https://doi.org/10.3390/electronics12030650openalex-snapshot
Technical Study of Deep Learning in Cloud Computing for Accurate Workload Prediction
inferredcites →https://doi.org/10.3390/electronics13071242openalex-snapshot
SLA-Adaptive Threshold Adjustment for a Kubernetes Horizontal Pod Autoscaler
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.70032openalex-snapshot
Trust‐Enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1002/spe.70059openalex-snapshot
C‐Koordinator: Interference‐Aware Management for Large‐Scale and Co‐Located Microservice Clusters
inferred← citeshttps://doi.org/10.1007/978-3-031-87781-0_32openalex-snapshot
Autoscaling Containerized Microservices: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-032-06713-5_3openalex-snapshot
Affective Edge Computing: Challenges and Opportunities in Decoding Emotional States
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132105openalex-snapshot
STAR: Spatial-temporal autoscaling for cloud applications with deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104266openalex-snapshot
CEMA: Cost Effective Multi-Layered Autoscaling for Microservice based Applications
inferred← citeshttps://doi.org/10.1109/ccgrid68966.2026.00046openalex-snapshot
SD-MoE: Scenario-Driven MoE Forecasting for Intelligent Elastic Scaling in Cloud Clusters
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics67059.2025.00041openalex-snapshot
BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving
inferred← citeshttps://doi.org/10.1109/ngdn66208.2025.11182138openalex-snapshot
Proactive Elastic Scaling for Online Service in Cloud Environments with Minimal Training Data
inferred← citeshttps://doi.org/10.1109/sita67914.2025.11273589openalex-snapshot
Intelligent Autoscaling Strategies for Cloud-Native Microservices: A Systematic Review
inferred← citeshttps://doi.org/10.1109/tcc.2026.3689123openalex-snapshot
A Dynamic Microservice Scheduling Model With Elastic Scalability and Adaptive Awareness
inferred← citeshttps://doi.org/10.1109/tcc.2026.3713395openalex-snapshot
ASP: An Adaptive Scaling Predictor With MoE-Enhanced Transformer for Cloud Resource Forecasting
inferred← citeshttps://doi.org/10.1109/tsc.2026.3651267openalex-snapshot
HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-Based Cloud Computing
inferred← citeshttps://doi.org/10.1145/3747186openalex-snapshot
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation
inferred← citeshttps://doi.org/10.20334/2025-011-mopenalex-snapshot
Research of service level agreement aware autoscaling algorithms for containerized cloud-native applications
inferred← citeshttps://doi.org/10.54097/kxfd4726openalex-snapshot
Autoscaling Stateful Microservices Under Variable Load and Traffic Uncertainty
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