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iHadoop: Asynchronous Iterations for MapReduce
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-84996-241-4_7openalex-snapshot
A Peer-to-Peer Framework for Supporting MapReduce Applications in Dynamic Cloud Environments
inferredcites →https://doi.org/10.1007/978-3-540-71701-0_38openalex-snapshot
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
inferredcites →https://doi.org/10.1007/s10723-012-9204-9openalex-snapshot
iMapReduce: A Distributed Computing Framework for Iterative Computation
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1109/cluster.2010.30openalex-snapshot
Asynchronous Algorithms in MapReduce
inferredcites →https://doi.org/10.1109/e-science.2009.53openalex-snapshot
DryadLINQ for Scientific Analyses
inferredcites →https://doi.org/10.1109/icde.2008.4497457openalex-snapshot
Mining (Social) Network Graphs to Detect Random Link Attacks
inferredcites →https://doi.org/10.1109/icde.2009.133openalex-snapshot
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
inferredcites →https://doi.org/10.1109/icdm.2008.142openalex-snapshot
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining
inferredcites →https://doi.org/10.1109/icdm.2009.14openalex-snapshot
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
inferredcites →https://doi.org/10.1109/iiswc.2009.5306783openalex-snapshot
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
inferredcites →https://doi.org/10.1109/ipdps.2011.260openalex-snapshot
iMapReduce: A Distributed Computing Framework for Iterative Computation
inferredcites →https://doi.org/10.1109/isda.2009.181openalex-snapshot
Scaling Genetic Algorithms Using MapReduce
inferredcites →https://doi.org/10.1145/1807128.1807161openalex-snapshot
Characterizing cloud computing hardware reliability
inferredcites →https://doi.org/10.1145/1807167.1807278openalex-snapshot
Data warehousing and analytics infrastructure at facebook
inferredcites →https://doi.org/10.1145/324133.324140openalex-snapshot
Authoritative sources in a hyperlinked environment
inferredcites →https://doi.org/10.1145/356924.356928openalex-snapshot
Query Optimization in Database Systems
inferredcites →https://doi.org/10.1145/582095.582099openalex-snapshot
Access path selection in a relational database management system
inferredcites →https://doi.org/10.5555/1855741.1855742openalex-snapshot
DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level language
inferredcites →https://doi.org/10.5555/1924943.1924947openalex-snapshot
Finding a needle in Haystack: facebook's photo storage
inferredcites →https://doi.org/10.5555/1972457.1972470openalex-snapshot
CIEL: a universal execution engine for distributed data-flow computing
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0040openalex-snapshot
Map-Reduce for Machine Learning on Multicore
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An efficient iterative graph data processing framework based on bulk synchronous parallel model
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FLRA: A Reference Architecture for Federated Learning Systems
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HadoopM: A Message-Enabled Data Processing System on Large Clusters
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Algorithms for Iterative Applications in MapReduce Framework
inferred← citeshttps://doi.org/10.1007/978-981-33-6400-4_6openalex-snapshot
Advances in MapReduce Big Data Processing: Platform, Tools, and Algorithms
inferred← citeshttps://doi.org/10.1007/s10766-015-0395-0openalex-snapshot
MapReduce Parallel Programming Model: A State-of-the-Art Survey
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A hierarchical multi-objective task scheduling approach for fast big data processing
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Secured map reduce computing based on virtual machine using threshold secret sharing and group signature mechanisms in cloud computing environments
inferred← citeshttps://doi.org/10.1016/b978-0-12-805394-2.00009-xopenalex-snapshot
System Optimization for Big Data Processing
inferred← citeshttps://doi.org/10.1016/j.future.2013.08.007openalex-snapshot
Parallel processing of large graphs
inferred← citeshttps://doi.org/10.1016/j.future.2016.08.020openalex-snapshot
Scalable and efficient data distribution for distributed computing of all-to-all comparison problems
inferred← citeshttps://doi.org/10.1016/j.future.2017.03.013openalex-snapshot
Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce
inferred← citeshttps://doi.org/10.1016/j.jnca.2014.07.022openalex-snapshot
A comprehensive view of Hadoop research—A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.11.008openalex-snapshot
Efficient shuffle management for DAG computing frameworks based on the FRQ model
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.04.032openalex-snapshot
Rim: A reusable iterative model for big data
inferred← citeshttps://doi.org/10.1080/03772063.2014.987703openalex-snapshot
Research on MapReduce Based Incremental Iterative Model and Framework
inferred← citeshttps://doi.org/10.1080/17517575.2019.1633689openalex-snapshot
Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
inferred← citeshttps://doi.org/10.1109/access.2018.2879779openalex-snapshot
Mim: A Merge Iteration and Its Applications for Big Data
inferred← citeshttps://doi.org/10.1109/aina.2013.48openalex-snapshot
h-MapReduce: A Framework for Workload Balancing in MapReduce
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377866openalex-snapshot
ReSpark: Automatic Caching for Iterative Applications in Apache Spark
inferred← citeshttps://doi.org/10.1109/compcomm.2016.7924666openalex-snapshot
Review of hadoop performance optimization
inferred← citeshttps://doi.org/10.1109/dcabes48411.2019.00028openalex-snapshot
Using Asynchronous Simulation Approach for Interactive Simulation
inferred← citeshttps://doi.org/10.1109/edocw.2012.23openalex-snapshot
Conceptualisation and Lifecycle of Cloud Based Information Systems
inferred← citeshttps://doi.org/10.1109/icacci.2014.6968416openalex-snapshot
Modified MapReduce framework for enhancing performance of graph based algorithms by fast convergence in distributed environment
inferred← citeshttps://doi.org/10.1109/icdmw.2018.00144openalex-snapshot
Review of Graph Processing Frameworks
inferred← citeshttps://doi.org/10.1109/ictaacs48474.2019.8988123openalex-snapshot
Suffix Tree Construction based Mapreduce
inferred← citeshttps://doi.org/10.1109/ictke.2013.6756290openalex-snapshot
An adaptive machine learning on Map-Reduce framework for improving performance of large-scale data analysis on EC2
inferred← citeshttps://doi.org/10.1109/iecon.2014.7048857openalex-snapshot
A distributed computing framework for All-to-All comparison problems
inferred← citeshttps://doi.org/10.1109/jproc.2016.2591592openalex-snapshot
Parallel Processing Systems for Big Data: A Survey
inferred← citeshttps://doi.org/10.1109/pdp.2016.66openalex-snapshot
Conch: A Cyclic MapReduce Model for Iterative Applications
inferred← citeshttps://doi.org/10.1109/pyhpc.2016.014openalex-snapshot
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python
inferred← citeshttps://doi.org/10.1109/smartworld.2018.00198openalex-snapshot
SHAstor: A Scalable HDFS-Based Storage Framework for Small-Write Efficiency in Pervasive Computing
inferred← citeshttps://doi.org/10.1109/tit.2019.2954338openalex-snapshot
A Pliable Index Coding Approach to Data Shuffling
inferred← citeshttps://doi.org/10.1109/trustcom.2014.99openalex-snapshot
FedLoop: Looping on Federated MapReduce
inferred← citeshttps://doi.org/10.1109/wscad.2018.00026openalex-snapshot
MapReduce with Components for Processing Big Graphs
inferred← citeshttps://doi.org/10.1145/2523616.2525952openalex-snapshot
High performance clustering of social images in a map-collective programming model
inferred← citeshttps://doi.org/10.1145/2608199openalex-snapshot
Hadoop Extensions for Distributed Computing on Reconfigurable Active SSD Clusters
inferred← citeshttps://doi.org/10.1145/3007818.3007819openalex-snapshot
A comparative analysis of iterative MapReduce systems
inferred← citeshttps://doi.org/10.1145/3178487.3178510openalex-snapshot
Efficient shuffle management with SCache for DAG computing frameworks
inferred← citeshttps://doi.org/10.1145/3200691.3178510openalex-snapshot
Efficient shuffle management with SCache for DAG computing frameworks
inferred← citeshttps://doi.org/10.1145/3337065openalex-snapshot
Big Data Analytics for Large-scale Wireless Networks
inferred← citeshttps://doi.org/10.1145/3754598.3754640openalex-snapshot
Decision Shuffle: Efficient Pre-scheduling System for Push-based Shuffle in DAG Computing Frameworks
inferred← citeshttps://doi.org/10.11606/t.45.2016.tde-31102016-155908openalex-snapshot
Energy savings and performance improvements with SSDs in the Hadoop Distributed File System
inferred← citeshttps://doi.org/10.1186/s40537-017-0086-3openalex-snapshot
iiHadoop: an asynchronous distributed framework for incremental iterative computations
inferred← citeshttps://doi.org/10.14257/ijdta.2015.8.3.08openalex-snapshot
Performance Comparison Between Hama and Hadoop
inferred← citeshttps://doi.org/10.1587/transinf.2016dap0013openalex-snapshot
Cancelled: A New Efficient Resource Management Framework for Iterative MapReduce Processing in Large-Scale Data Analysis
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Mammoth Data in the Cloud: Clustering Social Images
inferred← citeshttps://doi.org/10.4108/eai.21-12-2017.153506openalex-snapshot
Implementation of Network Cards Optimizations in Hadoop Cluster Data Transmissions
inferred← citeshttps://doi.org/10.48550/arxiv.1306.0326openalex-snapshot
Parallel Processing of Large Graphs
inferred← citeshttps://doi.org/10.48550/arxiv.1909.08069openalex-snapshot
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities
inferred← citeshttps://doi.org/10.5555/3019083.3019093openalex-snapshot
Mrs: high performance mapreduce for iterative and asynchronous algorithms in Python
inferred← citeshttps://doi.org/10.70675/078e66f2z6085z4727zb4b0z9eb753f373f7openalex-snapshot
Improving MapReduce Performance on Clusters
inferred← citeshttps://doi.org/10.7763/ijcee.2014.v6.789openalex-snapshot
MapReduce: State-of-the-Art and Research Directions
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