On the public citation graph

IO Tetris: Deep Storage Consolidation for the Cloud via Fine-Grained Workload Analysis

0 signed · 33 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1109/cloud.2010.60openalex-snapshot
Adaptive Data Migration in Multi-tiered Storage Based Cloud Environment
inferredcites →https://doi.org/10.1109/cloud.2010.68openalex-snapshot
Maximizing Cloud Providers' Revenues via Energy Aware Allocation Policies
inferredcites →https://doi.org/10.1109/mascots.2010.12openalex-snapshot
PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing
inferredcites →https://doi.org/10.1109/ucc.2011.66openalex-snapshot
Load Prediction and Hot Spot Detection Models for Autonomic Cloud Computing
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1137/1.9781611972733.6openalex-snapshot
Hierarchical Document Clustering Using Frequent Itemsets
inferredcites →https://doi.org/10.1145/1321753.1321762openalex-snapshot
Live data center migration across WANs
inferredcites →https://doi.org/10.1145/1341312.1341334openalex-snapshot
MIRAGE
inferredcites →https://doi.org/10.1145/1773394.1773400openalex-snapshot
Towards characterizing cloud backend workloads
inferredcites →https://doi.org/10.1145/1952682.1952700openalex-snapshot
Workload-aware live storage migration for clouds
inferredcites →https://doi.org/10.1147/rd.524.0353openalex-snapshot
Automated planners for storage provisioning and disaster recovery
inferredcites →https://doi.org/10.18637/jss.v025.i04openalex-snapshot
clValid : An R Package for Cluster Validation

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.8052openalex-snapshot
FPHO: Fractional Pelican Hawks optimization based container consolidation in CaaS cloud
inferred← citeshttps://doi.org/10.1007/s00607-016-0498-5openalex-snapshot
Scalable and automatic virtual machines placement based on behavioral similarities
inferred← citeshttps://doi.org/10.1007/s11227-021-03760-1openalex-snapshot
Comprehensive survey on energy-aware server consolidation techniques in cloud computing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2014.02.006openalex-snapshot
Detecting similarities in virtual machine behavior for cloud monitoring using smoothed histograms
inferred← citeshttps://doi.org/10.1109/cloud.2012.99openalex-snapshot
Challenges and Opportunities in Consolidation at High Resource Utilization: Non-monotonic Response Time Variations in n-Tier Applications
inferred← citeshttps://doi.org/10.1109/ispass.2016.7482090openalex-snapshot
Storage consolidation: Not always a panacea, but can we ease the pain?
inferred← citeshttps://doi.org/10.1109/msst.2014.6855554openalex-snapshot
Client-aware cloud storage
inferred← citeshttps://doi.org/10.1109/ncca.2015.13openalex-snapshot
Exploiting Classes of Virtual Machines for Scalable IaaS Cloud Management
inferred← citeshttps://doi.org/10.1109/pdp.2016.119openalex-snapshot
A Cost Model for Virtual Machine Storage in Cloud IaaS Context
inferred← citeshttps://doi.org/10.1109/softcom.2015.7314075openalex-snapshot
Automatic parameter tuning for Class-Based Virtual Machine Placement in cloud infrastructures
inferred← citeshttps://doi.org/10.1109/tcc.2017.2664831openalex-snapshot
AGATE: Adaptive Gray Area-Based TEchnique to Cluster Virtual Machines with Similar Behavior
inferred← citeshttps://doi.org/10.1145/2462326.2462337openalex-snapshot
Automatic virtual machine clustering based on bhattacharyya distance for multi-cloud systems
inferred← citeshttps://doi.org/10.1145/3078838openalex-snapshot
Understanding I/O Performance Behaviors of Cloud Storage from a Client’s Perspective
inferred← citeshttps://doi.org/10.1145/3149374openalex-snapshot
GDS-LC
inferred← citeshttps://doi.org/10.1145/3373376.3378502openalex-snapshot
Fair Write Attribution and Allocation for Consolidated Flash Cache
inferred← citeshttps://doi.org/10.1504/ijguc.2016.077489openalex-snapshot
A comparison of techniques to detect similarities in cloud virtual machines
inferred← citeshttps://doi.org/10.24138/jcomss.v11i4.94openalex-snapshot
Parameter Tuning for Scalable Multi-Resource Server Consolidation in Cloud Systems
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.5090openalex-snapshot
On I/O Performance and Cost Efficiency of Cloud Storage: A Client's Perspective
inferred← citeshttps://doi.org/10.5220/0007708403080315openalex-snapshot
A Deep-learning-based approach to VM behavior Identification in Cloud Systems
inferred← citeshttps://doi.org/10.70675/11d852bez763az4fe3z96adz613beba92092openalex-snapshot
Placement autonomique de machines virtuelles sur un système de stockage hybride dans un cloud IaaS
inferred← citeshttps://doi.org/10.70675/716f84fazde9dz487azb475z54b0a563571aopenalex-snapshot
Design de l'expérience utilisateur dans les machines virtuelles : l'approche de l'allocation de ressources prédictive pour les infrastructures cloud
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.