On the public citation graph

FailureSim: A System for Predicting Hardware Failures in Cloud Data Centers Using Neural Networks

0 signed · 21 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1109/bigdataservice.2016.10openalex-snapshot
A Practical Approach to Hard Disk Failure Prediction in Cloud Platforms: Big Data Model for Failure Management in Datacenters
inferredcites →https://doi.org/10.1109/icdew.2013.6547460openalex-snapshot
Packing light: Portable workload performance prediction for the cloud
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/tpds.2011.306openalex-snapshot
Analyzing Massive Machine Maintenance Data in a Computing Cloud
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/2499896.2499897openalex-snapshot
DynamicCloudSim

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-43192-1_2openalex-snapshot
A Survey on Machine Learning Based Fault Tolerant Mechanisms in Cloud Towards Uncertainty Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-76352-7_15openalex-snapshot
A Systematic Mapping Study in AIOps
inferred← citeshttps://doi.org/10.1007/978-3-030-87013-3_3openalex-snapshot
Failures Forecast in Monitoring Datacenter Infrastructure Through Machine Learning Techniques: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s10723-019-09476-0openalex-snapshot
Performability Evaluation and Optimization of Workflow Applications in Cloud Environments
inferred← citeshttps://doi.org/10.1016/j.future.2019.10.026openalex-snapshot
Adaptive sliding windows for improved estimation of data center resource utilization
inferred← citeshttps://doi.org/10.1109/ccgrid57682.2023.00011openalex-snapshot
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data
inferred← citeshttps://doi.org/10.1109/cloudcom.2019.00073openalex-snapshot
Reasoning Based Workload Performance Prediction in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/tse.2023.3327583openalex-snapshot
Prevent: An Unsupervised Approach to Predict Software Failures in Production
inferred← citeshttps://doi.org/10.1145/3483424openalex-snapshot
A Survey of AIOps Methods for Failure Management
inferred← citeshttps://doi.org/10.1145/3492323.3495586openalex-snapshot
Towards failure correlation for improved cloud application service resilience
inferred← citeshttps://doi.org/10.2174/0118722121260903231009104614openalex-snapshot
Evaluation of Reliability in Request-segregated Clouds through Remiadiations Predicting Hardware Failure Scheme
inferred← citeshttps://doi.org/10.2991/978-94-6463-314-6_17openalex-snapshot
Deep Learning - Based Forecasting of Task Failures in Cloud Data Centers
inferred← citeshttps://doi.org/10.5821/dissertation-2117-175254openalex-snapshot
Data center's telemetry reduction and prediction through modeling techniques
inferred← citeshttps://doi.org/10.70675/e9f55171z8c4bz4857zb3e9ze9cd021af653openalex-snapshot
A data mining perspective on explainable AIOps with applications to software maintenance
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.