On the public citation graph

DRASH: A Data Replication-Aware Scheduler in Geo-Distributed Data Centers

0 signed · 35 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-1-4842-1004-8_4openalex-snapshot
Google Compute Engine
inferredcites →https://doi.org/10.1007/978-3-540-77050-3_8openalex-snapshot
Order Scheduling Models: Hardness and Algorithms
inferredcites →https://doi.org/10.1016/j.future.2012.09.001openalex-snapshot
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
inferredcites →https://doi.org/10.1109/71.207593openalex-snapshot
A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures
inferredcites →https://doi.org/10.1109/71.752781openalex-snapshot
FASTEST: a practical low-complexity algorithm for compile-time assignment of parallel programs to multiprocessors
inferredcites →https://doi.org/10.1109/cloudcom.2015.95openalex-snapshot
Scheduling Data-Driven Workflows in Multi-cloud Environment
inferredcites →https://doi.org/10.1109/cluster.2011.26openalex-snapshot
DARE: Adaptive Data Replication for Efficient Cluster Scheduling
inferredcites →https://doi.org/10.1109/dasc.2011.95openalex-snapshot
A Novel Cost-Effective Dynamic Data Replication Strategy for Reliability in Cloud Data Centres
inferredcites →https://doi.org/10.1109/glocom.2011.6134492openalex-snapshot
Integrating Scheduling and Replication in Data Grids with Performance Guarantee
inferredcites →https://doi.org/10.1109/icoia.2013.6650256openalex-snapshot
Job scheduling for dynamic data replication strategy in heterogeneous federation data grid systems
inferredcites →https://doi.org/10.1109/igcc.2015.7393730openalex-snapshot
An enforcement of real time scheduling in Spark Streaming
inferredcites →https://doi.org/10.1109/mascots.2011.12openalex-snapshot
The Case for Evaluating MapReduce Performance Using Workload Suites
inferredcites →https://doi.org/10.1109/tc.2007.1042openalex-snapshot
Practical Scheduling of Bag-of-Tasks Applications on Grids with Dynamic Resilience
inferredcites →https://doi.org/10.1109/ucc.2015.35openalex-snapshot
A Fuzzy Logic-Based Controller for Cost and Energy Efficient Load Balancing in Geo-distributed Data Centers
inferredcites →https://doi.org/10.1145/1272996.1273005openalex-snapshot
Dryad
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/2806777.2806780openalex-snapshot
Scheduling jobs across geo-distributed datacenters
inferredcites →https://doi.org/10.1287/opre.16.3.687openalex-snapshot
Letter to the Editor—A Proof of the Optimality of the Shortest Remaining Processing Time Discipline
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/1924943.1924962openalex-snapshot
Reining in the outliers in map-reduce clusters using Mantri

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s11277-019-06247-8openalex-snapshot
Load Balance Based Job Scheduling in Geo-Distributed Clouds
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.107807openalex-snapshot
Cluster load based content distribution and speculative execution for geographically distributed cloud environment
inferred← citeshttps://doi.org/10.1016/j.jss.2017.09.001openalex-snapshot
Task Scheduling in Big Data Platforms: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/access.2022.3219873openalex-snapshot
JHTD: An Efficient Joint Scheduling Framework Based on Hypergraph for Task Placement and Data Transfer Across Geographically Distributed Data Centers
inferred← citeshttps://doi.org/10.1109/cloudcom.2019.00053openalex-snapshot
Visualisation of Distributed Systems Simulation Made Simple
inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110325openalex-snapshot
A Cloud-Agnostic Framework to Enable Cost-Aware Scheduling of Applications in a Multi-Cloud Environment
inferred← citeshttps://doi.org/10.1109/tpds.2019.2921337openalex-snapshot
Efficient Data Placement and Replication for QoS-Aware Approximate Query Evaluation of Big Data Analytics
inferred← citeshttps://doi.org/10.1109/tsc.2021.3092563openalex-snapshot
MapReduce Task Scheduling in Heterogeneous Geo-Distributed Data Centers
inferred← citeshttps://doi.org/10.1145/3339186.3339207openalex-snapshot
QoS-Aware Proactive Data Replication for Big Data Analytics in Edge Clouds
inferred← citeshttps://doi.org/10.3390/bdcc6010005openalex-snapshot
A Hierarchical Hadoop Framework to Process Geo-Distributed Big Data
inferred← citeshttps://doi.org/10.4018/978-1-7998-5339-8.ch031openalex-snapshot
A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments
inferred← citeshttps://doi.org/10.4018/979-8-3693-7137-4.ch003openalex-snapshot
Data Security With Replication for Cloud Computing
inferred← citeshttps://doi.org/10.4018/979-8-3693-9356-7.ch015openalex-snapshot
Best Practices, Ethical Challenges, and Regulatory Frameworks for AI Integration in Banking
inferred← citeshttps://doi.org/10.4018/979-8-3693-9919-4.ch012openalex-snapshot
RETRACTED: Data Security With Replication for Cloud Computing
inferred← citeshttps://doi.org/10.4018/ijitsa.2018010102openalex-snapshot
A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments
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.