On the public citation graph

Automated workload-aware elasticity of NoSQL clusters in the cloud

0 signed · 20 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/ccgrid.2013.45openalex-snapshot
Automated, Elastic Resource Provisioning for NoSQL Clusters Using TIRAMOLA
inferredcites →https://doi.org/10.1109/cloudcom.2013.16openalex-snapshot
Managing Service Performance in the Cassandra Distributed Storage System
inferredcites →https://doi.org/10.1145/1592568.1592584openalex-snapshot
Cutting the electric bill for internet-scale systems
inferredcites →https://doi.org/10.1145/1721654.1721672openalex-snapshot
A view of cloud computing
inferredcites →https://doi.org/10.1145/1807128.1807152openalex-snapshot
Benchmarking cloud serving systems with YCSB
inferredcites →https://doi.org/10.1145/2382553.2382556openalex-snapshot
AutoScale
inferredcites →https://doi.org/10.1145/2465351.2465370openalex-snapshot
MeT
inferredcites →https://doi.org/10.14778/2367502.2367512openalex-snapshot
Solving big data challenges for enterprise application performance management

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.4335openalex-snapshot
A statistical approach to virtual server resource management
inferred← citeshttps://doi.org/10.1007/978-3-030-02227-3_7openalex-snapshot
Performance Model of Apache Cassandra Under Heterogeneous Workload Using the Quantitative Verification Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-29919-8_12openalex-snapshot
Cloud Elasticity: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-319-48740-3_34openalex-snapshot
Cloud Resource Allocation from the User Perspective: A Bare-Bones Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1016/j.future.2017.08.061openalex-snapshot
Regression based performance modeling and provisioning for NoSQL cloud databases
inferred← citeshttps://doi.org/10.1080/00051144.2023.2254981openalex-snapshot
Phase space load balancing priority scheduling algorithm for cloud computing clusters
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8257928openalex-snapshot
Elastic management of cloud applications using adaptive reinforcement learning
inferred← citeshttps://doi.org/10.1109/icde.2017.72openalex-snapshot
Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management
inferred← citeshttps://doi.org/10.1109/tpds.2019.2893940openalex-snapshot
Decision-Making Approaches for Performance QoS in Distributed Storage Systems: A Survey
inferred← citeshttps://doi.org/10.1109/tsc.2017.2711009openalex-snapshot
Elasticity in Cloud Computing: State of the Art and Research Challenges
inferred← citeshttps://doi.org/10.3390/s24217031openalex-snapshot
A Federated Reinforcement Learning Framework via a Committee Mechanism for Resource Management in 5G Networks
inferred← citeshttps://doi.org/10.70675/444c49b8z1de9z40baz8cc2zd4a5de12fa27openalex-snapshot
Flexible framework for elasticity in cloud computing
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.