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Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-02136-7openalex-snapshot
Data-Intensive Text Processing with MapReduce
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Predicting application run times using historical information
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PEGASUS: mining peta-scale graphs
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Using historical accounting information to predict the resource usage of grid jobs
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/ccgrid.2010.112openalex-snapshot
An Analysis of Traces from a Production MapReduce Cluster
inferredcites →https://doi.org/10.1109/icde.2010.5447919openalex-snapshot
Estimating the progress of MapReduce pipelines
inferredcites →https://doi.org/10.1109/ipdps.2007.370276openalex-snapshot
Prediction Services for Distributed Computing
inferredcites →https://doi.org/10.1109/mascot.2009.5366973openalex-snapshot
A simulation approach to evaluating design decisions in MapReduce setups
inferredcites →https://doi.org/10.1137/1.9781611973075.76openalex-snapshot
A Model of Computation for MapReduce
inferredcites →https://doi.org/10.1145/1076034.1076063openalex-snapshot
Accurately interpreting clickthrough data as implicit feedback
inferredcites →https://doi.org/10.1145/1347375.1347389openalex-snapshot
The worst-case execution-time problem—overview of methods and survey of tools
inferredcites →https://doi.org/10.1145/1552272.1552278openalex-snapshot
Using realistic simulation for performance analysis of mapreduce setups
inferredcites →https://doi.org/10.1145/1555349.1555384openalex-snapshot
MapReduce optimization using regulated dynamic prioritization
inferredcites →https://doi.org/10.1145/1559845.1559865openalex-snapshot
A comparison of approaches to large-scale data analysis
inferredcites →https://doi.org/10.1145/1807128.1807150openalex-snapshot
Towards automatic optimization of MapReduce programs
inferredcites →https://doi.org/10.1145/1807167.1807278openalex-snapshot
Data warehousing and analytics infrastructure at facebook
inferredcites →https://doi.org/10.1145/2492101.1555384openalex-snapshot
MapReduce optimization using regulated dynamic prioritization
inferredcites →https://doi.org/10.14778/1920841.1920903openalex-snapshot
The performance of MapReduce
inferredcites →https://doi.org/10.3115/1620950.1620951openalex-snapshot
Data-intensive text processing with MapReduce
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A study on using uncertain time series matching algorithms for MapReduce applications
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Parameterizable benchmarking framework for designing a MapReduce performance model
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Performance impact of JobTracker failure in Hadoop
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On the Optimal Number of Computational Resources in MapReduce
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Energy Efficient Dynamic Slot Allocation of Map Reduce Tasks for Big Data Applications
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Heterogeneous Resource Selection for Arbitrary HPC Applications in the Cloud
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The Optimization and Improvement of MapReduce in Web Data Mining
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MR-COF: A Genetic MapReduce Configuration Optimization Framework
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Cost Estimation for the Provisioning of Computing Resources to Execute Bag-of-Tasks Applications in the Amazon Cloud
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Comparison and Improvement of Hadoop MapReduce Performance Prediction Models in the Private Cloud
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D-SPACE4Cloud: A Design Tool for Big Data Applications
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Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems
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Performance Analysis Using Petri Net Based MapReduce Model in Heterogeneous Clusters
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A Prototype Model for Resource Provisioning in Cloud Computing Using MapReduce Technique
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Handling Big Data Using MapReduce Over Hybrid Cloud
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Analysis of Diabetes and Heart Disease in Big Data Using MapReduce Framework
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Cloud resource provisioning: survey, status and future research directions
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An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems
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Forming SPN-MapReduce Model for Estimation Job Execution Time in Cloud Computing
inferred← citeshttps://doi.org/10.1007/s13174-011-0054-7openalex-snapshot
On Cloud computational models and the heterogeneity challenge
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Optimal construction of virtual networks for Cloud-based MapReduce workflows
inferred← citeshttps://doi.org/10.1016/j.future.2013.12.024openalex-snapshot
CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud
inferred← citeshttps://doi.org/10.1016/j.future.2017.11.010openalex-snapshot
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights
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Optimal job partitioning and allocation for vehicular cloud computing
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iPACS: Power-aware covering sets for energy proportionality and performance in data parallel computing clusters
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IoTDeM: An IoT Big Data-oriented MapReduce performance prediction extended model in multiple edge clouds
inferred← citeshttps://doi.org/10.1016/j.peva.2014.07.020openalex-snapshot
Profiling and evaluating hardware choices for MapReduce environments: An application-aware approach
inferred← citeshttps://doi.org/10.1109/aina.2013.51openalex-snapshot
Scaling MapReduce Applications Across Hybrid Clouds to Meet Soft Deadlines
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Cost-Efficient High-Performance Internet-Scale Data Analytics over Multi-cloud Environments
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BBQ: Elastic MapReduce over Cloud Platforms
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A Multi-step-ahead CPU Load Prediction Approach in Distributed System
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Performance Modeling of MapReduce Jobs in Heterogeneous Cloud Environments
inferred← citeshttps://doi.org/10.1109/cloud.2014.44openalex-snapshot
A More Efficient and Effective Heuristic Algorithm for the MapReduce Placement Problem in Cloud Computing
inferred← citeshttps://doi.org/10.1109/cloud.2014.68openalex-snapshot
Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds
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PYTHIA: Admission Control for Multi-Framework, Deadline- Driven, Big Data Workloads
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Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications
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A flexible analysis and prediction framework on resource usage in public clouds
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Modeling the Performance of MapReduce under Resource Contentions and Task Failures
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Cluster-Size Scaling and MapReduce Execution Times
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Distance-aware virtual cluster performance optimization: A hadoop case study
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Justice: A Deadline-Aware, Fair-Share Resource Allocator for Implementing Multi-Analytics
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Towards Dynamic Resource Provisioning for Traffic Mining Service Cloud
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Optimizing the Topologies of Virtual Networks for Cloud-Based Big Data Processing
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A Comparative Analysis and Evaluation of MapReduce Cloud Computing Simulators
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Hierarchical Self-Tuning of Concurrency and Resource Units in Data-Analytics Frameworks
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Automating Platform Selection for MapReduce Processing in the Cloud
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A theoretical framework for cloud resource provisioning using MapReduce technique
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A Survey on MapReduce Scheduling in Cloud Computing
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Optimizing capacity allocation for big data applications in cloud datacenters
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Cura: A Cost-Optimized Model for MapReduce in a Cloud
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Scheduling independent tasks under budget and time constraints
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