Large-scale cluster management at Google with Borg

MapReduce: simplified data processing on large clusters

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Pregel

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Bigtable

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The part-time parliament

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The Google file system

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Condor-a hunter of idle workstations

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The tail at scale

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Apache Hadoop YARN: yet another resource negotiator

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The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines

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Untitled work

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ArtifactOps and ArtifactDL: a methodology and a language for conceptualizing and operationalising different types of pipelines

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RL-Based Hybrid CPU Scaling for Soft Deadline Constrained Tasks in Container Clouds

Zhang, Y., Zhang, H., & Ma, H. (2025) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2025.3597195 · Cited by 2

Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures

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Layer-Aware Containerized Microservice Scheduling via Multiobjective Proximal Policy Optimization in Edge-Computing-Enabled IoT

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Survey of Container Orchestration Distributions in Cloud-to-Edge Continuum

Sari, S. (2025) · International Conference on Future Internet of Things and Cloud (FiCloud) · doi:10.1109/ficloud66139.2025.00014 · Cited by 2

STiFF-Net: Spatial-Temporal Insights via Image-Driven Feature Fusion for Workload Prediction in Intelligent Cloud Data Centers

Lu, Y., Yu, X., Li, S., Zheng, H., Cui, J., Zhong, H., Liu, L., & Min, G. (2025) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2025.3628344 · Cited by 2

A machine learning technique for optimizing virtual machine placement in data-centres

Alelyani, A., Datta, A., & Hassan, G. M. (2026) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-026-00851-3 · Cited by 2

Attention-based workload prediction and dynamic resource allocation for heterogeneous computing environments

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PinDrop: Breaking the Silence on SDCs in a Large-Scale Fleet

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AI-Native Infrastructure for the Autonomous Enterprise: Advancing Self-Optimizing Database, Big Data, and Cloud Ecosystems

Thota, M. R. (2025) · International Journal of Scientific Research in Science Engineering and Technology · doi:10.32628/ijsrst25121450 · Cited by 2

SCALABLE RESOURCE MANAGEMENT SYSTEM SOFTWARE FOR EXTREME- SCALE DISTRIBUTED SYSTEMS BY

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Information Retrieval and Analysis for a Modern Organization

Topchyan, A. R. (2016) · Proceedings of the Institute for System Programming of RAS · doi:10.15514/ispras-2016-28(4)-1 · Cited by 2

Data Locality Aware Algorithm for Task Execution on Distributed, Cloud Based Environments

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Rethinking reinforcement learning for cloud elasticity

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Fine-grained scheduling in multi-resource clusters

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Improving Software Middleboxes and Datacenter Task Schedulers

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Dynamic Weighted Fairness with Minimal Disruptions

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Priority Based Modeling and Comparative Study of Google Cloud Resources between 2011 and 2019

Lasantha, D., & Ray, B. R. (2020) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom50675.2020.00176 · Cited by 2

The case for phase-aware scheduling of parallelizable jobs

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Can VM Live Migration Improve Job Throughput? Evidence from a Real World Cluster Trace

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Improving Concurrent GC for Latency Critical Services in Multi-tenant Systems

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TJOSConf: Automatic and Safe System Environment Operations Platform

Wang, Y., Jiang, S., & Cui, B. (2022) · International Conference on Software and Computer Applications (ICSCA) · doi:10.1145/3524304.3524308 · Cited by 2

A Method of Real-time Data Access and Storage in Urban Rail Based on Containers

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Scheduling of Workflows with Task Resource Requirements in Cluster Environments

Sukhoroslov, O. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-41673-6_14 · Cited by 2

Container Security Intelligence: Leveraging Machine Learning for Anomaly Detection in Containerized Applications

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Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet

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Kecerdasan Buatan berbasis Geospasial (GeoAI) menggunakan Google Earth Engine untuk Monitoring Fenomena Urban Heat Island di Indonesia

Darmawan, S., NURULHAKIM, N. N., & Hernawati, R. (2024) · ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika · doi:10.26760/elkomika.v12i2.303 · Cited by 7

Cloud Service Failure Prediction on Google’s Borg Cluster Traces Using Traditional Machine Learning

Tuns, A.-I., & Spătaru, A. (2023) · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · doi:10.1109/synasc61333.2023.00029 · Cited by 2

Modeling Memory Bandwidth Interference in Cloud Data Centers via Deep Learning

Yao, J., Li, J., Mo, X., & Wu, W. (2024) · International Conference on Computer and Communication Systems (ICCCS) · doi:10.1109/icccs61882.2024.10603358 · Cited by 2

HAPPIES: a History-Aware Efficient Cloud Resource Overcommitment System

Huang, Z., Tang, S., Chang, Z., et al. (2024) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid59990.2024.00064 · Cited by 2

Access-Based Carving of Data for Efficient Reproducibility of Containers

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Dynamic Idle Resource Leasing To Safely Oversubscribe Capacity At Meta

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AMoCNA operator: a Kubernetes operator pattern that enhances cloud-native execution environments with autonomic features

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Eva: Cost-Efficient Cloud-Based Cluster Scheduling

Chang, T.-T., & Venkataraman, S. (2025) · doi:10.1145/3689031.3717483 · Cited by 2

Sharing is leaking: blocking transient-execution attacks with core-gapped confidential VMs

Castes, C., & Baumann, A. (2024) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3622781.3674190 · Cited by 2

X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters

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Highlights on Utilizing Machine Learning for High Performance Computing Systems

Pathak, A. R. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.358 · Cited by 2

Towards efficient program execution on edge-cloud computing platforms

Dollinger, J.-F., & Vauchey, V. (2025) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2025.105135 · Cited by 2

POSTER: Policy-driven security-aware scheduling in Kubernetes

Rossi, M., Beretta, M., Facchinetti, D., et al. (2025) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/3708821.3735343 · Cited by 2

Design and implementation of fully distributed heterogeneous resource management system

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EAS-Sim: A Framework and its Methodology for the Co-Design of Multi-Objective, Energy-Aware Schedulers for AI Clusters

Tchakoute, R. N., & Tadonki, C. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767568 · Cited by 2

DLTAP: A Network-efficient Scheduling Method for Distributed Deep Learning Workload in Containerized Cluster Environment

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Mira: Sharing Resources for Distributed Analytics at Small Timescales

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Fork/Wait and Multicore Frequency Scaling

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Autenticando aplicações nativas da nuvem com identidades SPIFFE

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Understanding and Leveraging Cluster Heterogeneity for Efficient Execution of Cloud Services

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The cloud ecosystem

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TIAS: Two-level Information-Agnostic Job Scheduling in GPU Clusters

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Mbench: Benchmarking a Multicore Operating System Using Mixed Workloads

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Consolidation of underutilized virtual machines to reduce total power usage

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An extended fine-grained conflict detection method for shared-state scheduling in large scale cluster

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Action Language Hybrid AL

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Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side

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Towards a Scalable and Adaptable Resource Allocation Framework in Cloud Environments

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A Raspberry Pi and LXC Based Distributed Computing Testbed

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Heterogeneous Resource Management and Orchestration in Cloud Environments

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Distributed Parameter Optimization Scheduling Strategy and System Design Based on Mesos

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Cloud computing development environment: from code logic to dataflow diagram

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A Theory of Auto-Scaling for Resource Reservation in Cloud Services

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Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center

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Container Cluster Scheduling Strategy Based on Delay Decision Under Multidimensional Constraints

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Zero Queueing for Multi-Server Jobs

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Deep Unsupervised Workload Sequence Anomaly Detection with Fusion of Spatial and Temporal Features in the Cloud

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Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge

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WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows

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High Performance Computing for CS-InSAR Data Processing

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Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers

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Provisioning with Fine-grained Affinity for Container-enabled Cloud-edge System

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Processamento confidencial de dados de sensores na nuvem

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Multi Resource Scheduling with Task Cloning in Heterogeneous Clusters

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Cougar: A General Framework for Jobs Optimization In Cloud

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Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques

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Dynamic Models for the Formal Verification of Big Data Applications Via Stochastic Model Checking

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Opunit: Sanity Checks for Computing Environments

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A Heterogeneous Dynamic Scheduling Minimize Energy—HDSME

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Mediating Power Struggles on a Shared Server

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MUDED: Integrating Networks with Applications through Multi-Domain Exposure and Discovery Mechanisms

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Allocation of fungible resources via a fast, scalable price discovery method

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Job Placement Strategy with Opportunistic Resource Sharing for Distributed Deep Learning Clusters

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Output Performance of Petascale File Systems

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An Open-Source Benchmark Suite for Cloud and IoT MicroservicesPreprint

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Automating Cluster Management with WeavePreprint

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Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation.Preprint

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Low Latency Queuing Control in Extendable Mobile Ad-hoc Network Emulator (EMANE)

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A Scalable and Reproducible System-on-Chip Simulation for Reinforcement LearningPreprint

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A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization -- Extended Technical ReportPreprint

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Practical Scheduling for Real-World Serverless ComputingPreprint

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Missing data analysis and prediction: A Google cluster case studyPreprint

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tf.data service: A Case for Disaggregating ML Input Data ProcessingPreprint

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A Dynamic Scheduling Algorithm with Time Varying Resource Constraints in Colocation Data Centers

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Mitigating Unnecessary Throttling in Linux CFS Bandwidth Control

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Cloud Resources Usage Prediction Using Deep Learning Models

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Towards Increased Datacenter Efficiency with Soft Memory

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Performance Prediction Based Workload Scheduling in Co-Located Cluster

Ou, D., Ren, Y., & Jiang, C. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.029987 · Cited by 1

Angler: Dark Pool Resource Allocation

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When Green Computing Meets Performance and Resilience SLOs

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A House United Within Itself: SLO-Awareness for On-Premises Containerized ML Inference Clusters via Faro

Jeon, B., Wang, C., Arroyo, D., Youssef, A., & Gupta, I. (2025) · European Conference on Computer Systems · doi:10.1145/3689031.3696071 · Cited by 2

Shepherd: Seamless Integration of Service Workflows into Task-Based Workflows through Log Monitoring

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Efficient Far Memory-Aware Scheduling With FaMAS

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