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08/22/2023
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
Selecting the right resources for big data analytics jobs is hard becaus...
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06/06/2023
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
Distributed dataflow systems such as Apache Spark or Apache Flink enable...
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11/15/2022
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
Choosing a good resource configuration for big data analytics applicatio...
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11/08/2022
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
Selecting appropriate computational resources for data processing jobs o...
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08/16/2022
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
Scientific workflows typically comprise a multitude of different process...
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06/28/2022
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
Distributed dataflow systems like Apache Spark and Apache Hadoop enable ...
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06/01/2022
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview
Many organizations routinely analyze large datasets using systems for di...
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05/23/2022
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
Many scientific workflow scheduling algorithms need to be informed about...
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11/16/2021
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
With the growing amount of data, data processing workloads and the manag...
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11/15/2021
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
Distributed dataflow systems like Apache Flink and Apache Spark simplify...
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11/09/2021
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
Scientific workflow management systems like Nextflow support large-scale...
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08/27/2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
Distributed dataflow systems like Spark and Flink enable the use of clus...
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08/24/2021
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
The Internet of Things describes a network of physical devices interacti...
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07/29/2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Distributed dataflow systems enable the use of clusters for scalable dat...
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07/28/2021
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
Distributed dataflow systems enable data-parallel processing of large da...
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11/16/2020