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AptStore: Dynamic Storage Management for Hadoop

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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.

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What this work says

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

inferredcites →https://doi.org/10.1109/icde.2011.5767933openalex-snapshot
RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems
inferredcites →https://doi.org/10.1109/icdew.2013.6547458openalex-snapshot
HotROD: Managing grid storage with on-demand replication
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/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1145/1063786.1063787openalex-snapshot
Improving storage system availability with D-GRAID
inferredcites →https://doi.org/10.1145/1095810.1095828openalex-snapshot
Hibernator
inferredcites →https://doi.org/10.1145/1713072.1713075openalex-snapshot
DiskReduce
inferredcites →https://doi.org/10.1145/1740390.1740405openalex-snapshot
On the energy (in)efficiency of Hadoop clusters
inferredcites →https://doi.org/10.1145/1773912.1773923openalex-snapshot
Decoupling storage and computation in Hadoop with SuperDataNodes
inferredcites →https://doi.org/10.1145/1966445.1966472openalex-snapshot
Scarlett
inferredcites →https://doi.org/10.1145/945449.945450openalex-snapshot
The Google file system
inferredcites →https://doi.org/10.14778/1454159.1454162openalex-snapshot
Energy cost, the key challenge of today's data centers
inferredcites →https://doi.org/10.14778/1920841.1920862openalex-snapshot
Energy management for MapReduce clusters
inferredcites →https://doi.org/10.5555/1960475.1960487openalex-snapshot
The SCADS director: scaling a distributed storage system under stringent performance requirements
inferredcites →https://doi.org/10.5555/2208461.2208467openalex-snapshot
Power consumption in enterprise-scale backup storage systems
inferredcites →https://doi.org/10.5555/2591272.2591287openalex-snapshot
MixApart: decoupled analytics for shared storage systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-99587-4_10openalex-snapshot
Distributed Log Search Based on Time Series Access and Service Relations
inferred← citeshttps://doi.org/10.1007/s10586-026-06288-2openalex-snapshot
Toward smarter redundancy in Hadoop: a systematic review of replication and erasure coding approaches
inferred← citeshttps://doi.org/10.1016/j.procs.2016.08.138openalex-snapshot
Automatic Transformation of Data Warehouse Schema to NoSQL Data Base: Comparative Study
inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.486openalex-snapshot
A Clustering-Aware and Multi-Feature Replication Strategy for Efficient Storage in HDFS
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.161openalex-snapshot
Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture
inferred← citeshttps://doi.org/10.1109/ccgrid.2016.61openalex-snapshot
On Efficient Hierarchical Storage for Big Data Processing
inferred← citeshttps://doi.org/10.1109/icpp.2015.79openalex-snapshot
Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store
inferred← citeshttps://doi.org/10.1145/2925426.2926290openalex-snapshot
High Performance Design for HDFS with Byte-Addressability of NVM and RDMA
inferred← citeshttps://doi.org/10.1145/3035918.3064023openalex-snapshot
OctopusFS
inferred← citeshttps://doi.org/10.1145/3474944.3474949openalex-snapshot
Query Optimization and Rebalancing Methods based on CMD
inferred← citeshttps://doi.org/10.1186/s40537-017-0080-9openalex-snapshot
Host managed contention avoidance storage solutions for Big Data
inferred← citeshttps://doi.org/10.4018/ijoris.20210401.oa3openalex-snapshot
Building a Document-Oriented Warehouse Using NoSQL
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