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Practice of Alibaba cloud on elastic resource provisioning for large‐scale microservices cluster
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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/s10586-020-03048-8openalex-snapshot
A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds
inferredcites →https://doi.org/10.1007/s11227-017-2156-xopenalex-snapshot
Resource provisioning for cloud applications: a 3-D, provident and flexible approach
inferredcites →https://doi.org/10.1016/j.jss.2018.09.082openalex-snapshot
The pains and gains of microservices: A Systematic grey literature review
inferredcites →https://doi.org/10.1109/icmla.2018.00227openalex-snapshot
A Comparison of ARIMA and LSTM in Forecasting Time Series
inferredcites →https://doi.org/10.1109/ms.2016.64openalex-snapshot
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture
inferredcites →https://doi.org/10.1109/ms.2018.2141039openalex-snapshot
Microservices: The Journey So Far and Challenges Ahead
inferredcites →https://doi.org/10.1109/tcc.2019.2903240openalex-snapshot
Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tii.2019.2959258openalex-snapshot
Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud
inferredcites →https://doi.org/10.1109/tit.2014.2320500openalex-snapshot
Rényi Divergence and Kullback-Leibler Divergence
inferredcites →https://doi.org/10.1109/tnet.2019.2906638openalex-snapshot
Hierarchical Capacity Provisioning for Fog Computing
inferredcites →https://doi.org/10.1109/tnsm.2022.3210211openalex-snapshot
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
inferredcites →https://doi.org/10.1109/tpds.2022.3174631openalex-snapshot
An In-Depth Study of Microservice Call Graph and Runtime Performance
inferredcites →https://doi.org/10.1109/tsc.2020.2995937openalex-snapshot
Burst-Aware Predictive Autoscaling for Containerized Microservices
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/10.14778/3352063.3352141openalex-snapshot
Cloud-native database systems at Alibaba
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.3395openalex-snapshot
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
inferred← citeshttps://doi.org/10.1002/spe.3417openalex-snapshot
Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud‐Native Applications
inferred← citeshttps://doi.org/10.1007/s00607-025-01445-8openalex-snapshot
DIMA: machine learning based dynamic infrastructure management for containerized applications
inferred← citeshttps://doi.org/10.1007/s10462-025-11208-8openalex-snapshot
AI-driven job scheduling in cloud computing: a comprehensive review
inferred← citeshttps://doi.org/10.1007/s10489-025-06763-0openalex-snapshot
Multi-dimensional feature driven GPU usage prediction model based on task and system environment classification
inferred← citeshttps://doi.org/10.1016/j.peva.2024.102452openalex-snapshot
Trust Your Local Scaler: A Continuous, Decentralized Approach to Autoscaling
inferred← citeshttps://doi.org/10.1038/s41598-025-10580-3openalex-snapshot
Construction and efficiency analysis of an embedded system-based verification platform for edge computing
inferred← citeshttps://doi.org/10.1080/1206212x.2025.2610313openalex-snapshot
DMV-DAB: a multivariate model for cloud resource forecasting
inferred← citeshttps://doi.org/10.1109/access.2024.3373316openalex-snapshot
Optimizing Cloud Performance: A Microservice Scheduling Strategy for Enhanced Fault-Tolerance, Reduced Network Traffic, and Lower Latency
inferred← citeshttps://doi.org/10.1109/aeeca65693.2025.00123openalex-snapshot
Link Topology Retrospective for Cloud Resource Microservice Architecture Based on Node Invocation Relationships and Graph Models
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics60724.2023.00111openalex-snapshot
An Interference-aware Approach for Co-located Container Orchestration with Novel Metric
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/tnsm.2024.3388633openalex-snapshot
Containerized Microservices: A Survey of Resource Management Frameworks
inferred← citeshttps://doi.org/10.1109/tsc.2024.3433388openalex-snapshot
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters
inferred← citeshttps://doi.org/10.1109/tsc.2025.3604373openalex-snapshot
Disruption-Aware Microservice Re-Orchestration for Cost-Efficient Multi-Cloud Deployments
inferred← citeshttps://doi.org/10.1145/3686253openalex-snapshot
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications
inferred← citeshttps://doi.org/10.1145/3801228.3801288openalex-snapshot
Research on Novel AI Computing Infrastructure
inferred← citeshttps://doi.org/10.1515/comp-2024-0013openalex-snapshot
Software compliance in various industries using CI/CD, dynamic microservices, and containers
inferred← citeshttps://doi.org/10.59350/4fttv-pt832openalex-snapshot
Microservice Architecture of Alibaba
inferred← citeshttps://doi.org/10.59350/q3rht-as692openalex-snapshot
Microservice Architecture of Alibaba
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