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09/13/2023
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures
Many resource management techniques for task scheduling, energy and carb...
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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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05/24/2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Federated Learning (FL) is an emerging machine learning technique that e...
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05/03/2023
Towards a Real-Time IoT: Approaches for Incoming Packet Processing in Cyber-Physical Systems
Embedded real-time devices for monitoring, controlling, and collaboratio...
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04/13/2023
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services
Energy consumption and carbon emissions are expected to be crucial facto...
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02/15/2023
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface
Scientific workflow management systems (SWMSs) and resource managers tog...
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11/24/2022
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
With increasingly more computation being shifted to the edge of the netw...
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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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07/19/2022
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Distributed file systems are widely used nowadays, yet using their defau...
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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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06/20/2022
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads
Distributed Stream Processing systems have become an essential part of b...
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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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05/05/2022
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
The growing electricity demand of cloud and edge computing increases ope...
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04/19/2022
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems
When IP-packet processing is unconditionally carried out on behalf of an...
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03/28/2022
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks
The increasing use of Internet of Things devices coincides with more com...
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01/03/2022
A Priority-Aware Multiqueue NIC Design
Low-level embedded systems are used to control cyber-phyiscal systems in...
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12/17/2021
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art
The continuous testing of small changes to systems has proven to be usef...
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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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10/25/2021
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
Depending on energy sources and demand, the carbon intensity of the publ...
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09/27/2021
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
Anomaly detection is increasingly important to handle the amount of sens...
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09/06/2021
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
Distributed Stream Processing systems are becoming an increasingly essen...
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09/01/2021
GRAL: Localization of Floating Wireless Sensors in Pipe Networks
Mobile wireless sensors are increasingly recognized as a valuable tool f...
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08/30/2021
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms
The Function-as-a-Service (FaaS) paradigm has a lot of potential as a co...
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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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08/19/2021
On the Future of Cloud Engineering
Ever since the commercial offerings of the Cloud started appearing in 20...
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08/10/2021
Evaluation of Load Prediction Techniques for Distributed Stream Processing
Distributed Stream Processing (DSP) systems enable processing large stre...
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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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04/20/2021
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Cardiovascular diseases and heart failures in particular are the main ca...
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04/06/2021
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems
Manufacturing, automotive, and aerospace environments use embedded syste...
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03/10/2021
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms
In this paper we introduce our vision of a Cognitive Computing Continuum...
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03/09/2021
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
Operation and maintenance of large distributed cloud applications can qu...
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03/01/2021
LEAF: Simulating Large Energy-Aware Fog Computing Environments
Despite constant improvements in efficiency, today's data centers and ne...
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02/23/2021
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT
IoT devices have become an integral part of our lives and the industry. ...
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02/14/2021
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
Distributed data processing systems like MapReduce, Spark, and Flink are...
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02/11/2021
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs
Fault tolerance is a property which needs deeper consideration when deal...
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02/11/2021
Effectively Testing System Configurations of Critical IoT Analytics Pipelines
The emergence of the Internet of Things has seen the introduction of num...
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02/10/2021
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?
Embedded systems have been used to control physical environments for dec...
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01/26/2021
Towards a Staging Environment for the Internet of Things
Internet of Things (IoT) applications promise to make many aspects of ou...
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12/01/2020
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring
With weather becoming more extreme both in terms of longer dry periods a...
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11/16/2020
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
Analyzing large datasets with distributed dataflow systems requires the ...
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06/11/2020