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Dependability analysis for characterizing Google cluster reliability
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-46506-5_17openalex-snapshot
Stochastic Modeling Formalisms for Dependability, Performance and Performability
inferredcites →https://doi.org/10.1007/978-981-10-0135-2_48openalex-snapshot
Scheduling for Distributed Applications in Mobile Cloud Computing
inferredcites →https://doi.org/10.1007/s11227-014-1131-zopenalex-snapshot
Characterizing and modeling cloud applications/jobs on a Google data center
inferredcites →https://doi.org/10.1016/j.entcs.2018.09.004openalex-snapshot
Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment
inferredcites →https://doi.org/10.1016/j.future.2017.06.011openalex-snapshot
Highly reliable architecture using the 80/20 rule in cloud computing datacenters
inferredcites →https://doi.org/10.1016/j.peva.2018.08.001openalex-snapshot
Characterizing machines lifecycle in Google data centers
inferredcites →https://doi.org/10.1080/10798587.2013.786969openalex-snapshot
Reliability Evaluation of Cloud Computing Systems Using Hybrid Methods
inferredcites →https://doi.org/10.1109/cse-euc-dcabes.2016.271openalex-snapshot
Analysis and Clustering of Workload in Google Cluster Trace Based on Resource Usage
inferredcites →https://doi.org/10.1109/hase.2014.24openalex-snapshot
An Empirical Failure-Analysis of a Large-Scale Cloud Computing Environment
inferredcites →https://doi.org/10.1109/hpcc.2011.111openalex-snapshot
Dependability Modeling and Analysis for the Virtual Data Center of Cloud Computing
inferredcites →https://doi.org/10.1109/ic2e.2013.40openalex-snapshot
An Analysis of the Server Characteristics and Resource Utilization in Google Cloud
inferredcites →https://doi.org/10.1109/icdse.2014.6974610openalex-snapshot
Cloud light weight: A new solution for load balancing in cloud computing
inferredcites →https://doi.org/10.1109/icpp.2013.56openalex-snapshot
Characterizing Cloud Applications on a Google Data Center
inferredcites →https://doi.org/10.1109/icppw.2012.57openalex-snapshot
Characterizing Machines and Workloads on a Google Cluster
inferredcites →https://doi.org/10.1109/icrms.2014.7107234openalex-snapshot
Research on dependability of cloud computing systems
inferredcites →https://doi.org/10.1109/icwr.2017.7959305openalex-snapshot
Cloud dependability analysis: Characterizing Google cluster infrastructure reliability
inferredcites →https://doi.org/10.1109/iecon.2018.8592822openalex-snapshot
Failure Analysis and Characterization of Scheduling Jobs in Google Cluster Trace
inferredcites →https://doi.org/10.1109/issre.2014.34openalex-snapshot
Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study
inferredcites →https://doi.org/10.1109/issrew.2014.105openalex-snapshot
Failure Prediction of Jobs in Compute Clouds: A Google Cluster Case Study
inferredcites →https://doi.org/10.1109/prdc.2012.10openalex-snapshot
CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures
inferredcites →https://doi.org/10.1145/1530873.1530884openalex-snapshot
SHARPE at the age of twenty two
inferredcites →https://doi.org/10.1145/1773394.1773400openalex-snapshot
Towards characterizing cloud backend workloads
inferredcites →https://doi.org/10.1145/1807128.1807161openalex-snapshot
Characterizing cloud computing hardware reliability
inferredcites →https://doi.org/10.1145/2391229.2391236openalex-snapshot
Heterogeneity and dynamicity of clouds at scale
inferredcites →https://doi.org/10.1145/2833312.2849559openalex-snapshot
A cloud security framework for a data centric WSN application
inferredcites →https://doi.org/10.11591/ijece.v6i3.7943openalex-snapshot
Load Balancing Techniques for Efficient Traffic Management in Cloud Environment
inferredcites →https://doi.org/10.11591/ijece.v6i4.9956openalex-snapshot
Disaster Recovery Services in Intercloud using Genetic Algorithm Load Balancer
inferredcites →https://doi.org/10.11591/ijece.v7i2.pp1088-1095openalex-snapshot
Quality of Service based Task Scheduling Algorithms in Cloud Computing
inferredcites →https://doi.org/10.11591/ijece.v7i3.pp1326-1336openalex-snapshot
A Survey on Security Aspects of Server Virtualization in Cloud Computing
inferredcites →https://doi.org/10.11591/ijece.v7i4.pp2176-2182openalex-snapshot
Intelligent Hybrid Cloud Data Hosting Services with Effective Cost and High Availability
inferredcites →https://doi.org/10.11591/ijece.v7i5.pp2645-2650openalex-snapshot
Privacy Preserving Auction Based Virtual Machine Instances Allocation Scheme for Cloud Computing Environment
inferredcites →https://doi.org/10.11591/ijeecs.v9.i1.pp101-103openalex-snapshot
Cloud Deployment Methods In Guarantee of Protection and Confidentiality Constraints
inferredcites →https://doi.org/10.1186/s13673-017-0109-2openalex-snapshot
A slave ants based ant colony optimization algorithm for task scheduling in cloud computing environments
inferredcites →https://doi.org/10.1186/s13673-018-0143-8openalex-snapshot
Reliability and high availability in cloud computing environments: a reference roadmap
inferredcites →https://doi.org/10.12928/telkomnika.v14i4.3964openalex-snapshot
DCR: Double Component Ranking for Building Reliable Cloud Applications
inferredcites →https://doi.org/10.5815/ijmecs.2016.03.08openalex-snapshot
Load Balancing in Cloud Computing: A State of the Art Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.hcc.2023.100165openalex-snapshot
Machine learning job failure analysis and prediction model for the cloud environment
inferred← citeshttps://doi.org/10.1109/iccsse67426.2025.11552571openalex-snapshot
Dynamic Load-Aware Task Scheduling Method for Aerospace Situation Simulation with DMA-LSTM Prediction
inferred← citeshttps://doi.org/10.1109/isgt-europe47291.2020.9248891openalex-snapshot
Characterizing Failure and Repair Time of Servers in a Hyper-scale Data Center
inferred← citeshttps://doi.org/10.1109/sti53101.2021.9732590openalex-snapshot
Application of Predictive Maintenance in Industry 4.0: A Use-Case Study for Datacenters
inferred← citeshttps://doi.org/10.1109/tsusc.2022.3216350openalex-snapshot
A Stochastic Approach to Determine the Optimal Number of Servers for Reliable and Energy Efficient Operation of Data Centers
inferred← citeshttps://doi.org/10.1145/3755881.3755898openalex-snapshot
Dynamic Microservice Resource Optimization Management Based on MAPE Loop
inferred← citeshttps://doi.org/10.1631/eng.itee.2025.0154openalex-snapshot
A Microservice Framework for Data-Model Fusion in Situational Awareness Simulations
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1694484/v1openalex-snapshot
Missing data analysis and prediction: A Google cluster case study
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8859031/v1openalex-snapshot
Large Language and Generative Foundation Models for Cloud-Enabled Medical Imaging and Internet of Medical Things: A PRISMA Systematic Review of Architectures, Security, and Deployment
inferred← citeshttps://doi.org/10.3390/cryptography6030044openalex-snapshot
Combining Markov and Semi-Markov Modelling for Assessing Availability and Cybersecurity of Cloud and IoT Systems
inferred← citeshttps://doi.org/10.3390/s22052035openalex-snapshot
Analysis of Job Failure and Prediction Model for Cloud Computing Using Machine Learning
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