Cover Image

PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Qingda, Yang, Xinjun, Li, Feifei, Li, Junru, Lin, Ya, Zhou, Yuqi, Zhu, Yicong, Zhang, Junwei, Xie, Rongbiao, Zhou, Ling, Wu, Bin, Zhou, Wenchao
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management
by: Yang, Xinjun, et al.
Published: (2025)

Analytically-Driven Resource Management for Cloud-Native Microservices
by: Zhang, Yanqi, et al.
Published: (2024)

SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
by: Liu, Shu, et al.
Published: (2025)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020)

Cloud Native System for LLM Inference Serving
by: Xu, Minxian, et al.
Published: (2025)

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
by: Li, Zhonggen, et al.
Published: (2025)

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
by: Lu, Yao, et al.
Published: (2024)

Towards an Adaptive Runtime System for Cloud-Native HPC
by: Bhosale, Aditya, et al.
Published: (2026)

CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
by: Du, Yuxuan, et al.
Published: (2026)

Service-Level Energy Modeling and Experimentation for Cloud-Native Microservices
by: Legler, Julian, et al.
Published: (2025)

Object Abstraction To Streamline Edge-Cloud-Native Application Development
by: Lertpongrujikorn, Pawissanutt
Published: (2025)

Next Generation Cloud-native In-Memory Stores: From Redis to Valkey and Beyond
by: Rosensch"old, Carl-Johan Fauvelle Munck af, et al.
Published: (2025)

Artifact for Service-Level Energy Modeling and Experimentation for Cloud-Native Microservices
by: Legler, Julian
Published: (2026)

M$^2$-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure
by: Xie, Hongyi, et al.
Published: (2025)

CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications
by: Wu, Jingfeng, et al.
Published: (2024)

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
by: Li, Senyao, et al.
Published: (2025)

TierBase: A Workload-Driven Cost-Optimized Key-Value Store
by: Shen, Zhitao, et al.
Published: (2025)

An Artificial Intelligence Framework for Joint Structural-Temporal Load Forecasting in Cloud Native Platforms
by: Zhang, Qingyuan
Published: (2026)

Exploring Challenges in Developing Edge-Cloud-Native Applications Across Multiple Business Domains
by: Lertpongrujikorn, Pawissanutt, et al.
Published: (2026)

Accelerating Python Applications with Dask and ProxyStore
by: Pauloski, J. Gregory, et al.
Published: (2024)

Optimal Configuration of API Resources in Cloud Native Computing
by: Truyen, Eddy, et al.
Published: (2025)

Radar DataTree: A FAIR and Cloud-Native Framework for Scalable Weather Radar Archives
by: Ladino-Rincon, Alfonso, et al.
Published: (2025)

A Cloud-Native Architecture for Human-in-Control LLM-Assisted OpenSearch in Investigative Settings
by: Puhani, Benjamin, et al.
Published: (2026)

Taurus Database: How to be Fast, Available, and Frugal in the Cloud
by: Depoutovitch, Alex, et al.
Published: (2024)

Scalable Analysis of Urban Scaling Laws: Leveraging Cloud Computing to Analyze 21,280 Global Cities
by: Li, Zhenhui, et al.
Published: (2024)

Unlocking True Elasticity for the Cloud-Native Era with Dandelion
by: Kuchler, Tom, et al.
Published: (2025)

BatchWeave: A Consistent Object-Store-Native Data Plane for Large Foundation Model Training
by: Sun, Ting, et al.
Published: (2026)

Thousand-GPU Large-Scale Training and Optimization Recipe for AI-Native Cloud Embodied Intelligence Infrastructure
by: Guo, Yongjian, et al.
Published: (2026)

Keigo: Co-designing Log-Structured Merge Key-Value Stores with a Non-Volatile, Concurrency-aware Storage Hierarchy (Extended Version)
by: Adão, Rúben, et al.
Published: (2025)

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
by: Zhou, Guangyao, et al.
Published: (2021)

KV Cache Compression for Inference Efficiency in LLMs: A Review
by: Liu, Yanyu, et al.
Published: (2025)

Polar: Agentic RL on Any Harness at Scale
by: Xu, Binfeng, et al.
Published: (2026)

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
by: Li, Xiaochen, et al.
Published: (2024)

SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
by: Ji, Shixin, et al.
Published: (2024)

LatentBox: Storing AI-Generated Images at Scale via a Latent-First Design
by: Wang, Zirui, et al.
Published: (2026)

FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)

"Range as a Key" is the Key! Fast and Compact Cloud Block Store Index with RASK
by: Zhao, Haoru, et al.
Published: (2026)

Huawei Cloud Model-as-a-Service on the CloudMatrix384 SuperPod
by: Xiao, Ao, et al.
Published: (2025)

Funky: Cloud-Native FPGA Virtualization and Orchestration
by: Koshiba, Atsushi, et al.
Published: (2025)

FlexKV: Flexible Index Offloading for Memory-Disaggregated Key-Value Store
by: Hu, Zhisheng, et al.
Published: (2025)