On the public citation graph
Optimizing Cloud MapReduce for Processing Stream Data Using Pipelining
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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/ccgrid.2011.25openalex-snapshot
Cloud MapReduce: A MapReduce Implementation on Top of a Cloud Operating System
inferredcites →https://doi.org/10.1109/clustr.2009.5289160openalex-snapshot
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
inferredcites →https://doi.org/10.1109/icpp.2010.73openalex-snapshot
Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters
inferredcites →https://doi.org/10.1109/tpds.2011.65openalex-snapshot
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
inferredcites →https://doi.org/10.1145/1107499.1107504openalex-snapshot
The 8 requirements of real-time stream processing
inferredcites →https://doi.org/10.1145/543613.543615openalex-snapshot
Models and issues in data stream systems
inferredcites →https://doi.org/10.1145/543614.543615openalex-snapshot
Models and issues in data stream systems
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/1972457.1972488openalex-snapshot
Mesos: a platform for fine-grained resource sharing in the data center
inferredcites →https://doi.org/10.5555/2170444.2170448openalex-snapshot
Heterogeneity-aware resource allocation and scheduling in the cloud
inferredcites →https://doi.org/10.5555/2170444.2170450openalex-snapshot
Cutting MapReduce cost with spot market
inferredcites →https://doi.org/10.5555/2170444.2170462openalex-snapshot
Large-scale incremental data processing with change propagation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4493754openalex-extracted
Dynamic Split Size: A Novel Approach for Bolstering Map Side Aggregation in Mapreduce and Future Ideas
inferred← citeshttps://doi.org/10.1109/access.2023.3281266openalex-snapshot
MapReduce for Graphs Processing: New Big Data Algorithm for 2-Edge Connected Components and Future Ideas
inferred← citeshttps://doi.org/10.1109/cloudsummit57601.2023.00019openalex-snapshot
CDFMR: A Distributed Statistical Analysis of Stock Market Data using MapReduce with Cumulative Distribution Function
inferred← citeshttps://doi.org/10.1109/iccae56788.2023.10111449openalex-snapshot
Distributed Scheduling of Home Appliances to Flatten Peak Demand in Microgrids and Enhancements
inferred← citeshttps://doi.org/10.1109/icdcs.2014.61openalex-snapshot
T-Storm: Traffic-Aware Online Scheduling in Storm
inferred← citeshttps://doi.org/10.1109/icngis.2016.7854079openalex-snapshot
Fuzzy based map reduce technique for energy efficiency in multi core cloud computing
inferred← citeshttps://doi.org/10.1109/ipdpsw.2013.95openalex-snapshot
SAGE: Geo-Distributed Streaming Data Analysis in Clouds
inferred← citeshttps://doi.org/10.1109/tbdata.2016.2616148openalex-snapshot
Performance Modeling and Predictive Scheduling for Distributed Stream Data Processing
inferred← citeshttps://doi.org/10.1109/tnsm.2014.031714.130407openalex-snapshot
An Advanced MapReduce: Cloud MapReduce, Enhancements and Applications
inferred← citeshttps://doi.org/10.11606/d.3.2024.tde-20082024-101910openalex-snapshot
Armazenamento elástico na recepção de dados em fluxo contínuo variável.
inferred← citeshttps://doi.org/10.20944/preprints202309.0148.v1openalex-snapshot
Iot Powered by Big Data: Architecture, Ecosystem, Applications
inferred← citeshttps://doi.org/10.36227/techrxiv.171778162.24397354/v1openalex-snapshot
Dynamic Split Size: A Novel Approach for Bolstering Map Side Aggregation in MapReduce and Future Ideas
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