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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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08/16/2023
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients
Federated Learning (FL) is a decentralized machine learning approach whe...
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07/26/2023
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems
Stream processing has become a critical component in the architecture of...
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06/16/2023
A Testbed for Carbon-Aware Applications and Systems
To mitigate the growing carbon footprint of computing systems, there has...
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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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01/25/2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
Due to the complexity of modern IT services, failures can be manifold, o...
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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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11/23/2022
Towards Advanced Monitoring for Scientific Workflows
Scientific workflows consist of thousands of highly parallelized tasks e...
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11/22/2022
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows
Scientific workflows are designed as directed acyclic graphs (DAGs) and ...
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11/21/2022
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction
Dynamic random access memory failures are a threat to the reliability of...
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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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11/14/2022
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Enabled by the increasing availability of sensor data monitored from pro...
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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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10/17/2022
Macaw: The Machine Learning Magnetometer Calibration Workflow
In Earth Systems Science, many complex data pipelines combine different ...
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08/19/2022
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments
Use-cases in the Internet of Things (IoT) typically involve a high numbe...
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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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08/11/2022
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward
The growing research and industry interest in the Internet of Things and...
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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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07/07/2022
Leveraging Log Instructions in Log-based Anomaly Detection
Artificial Intelligence for IT Operations (AIOps) describes the 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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06/20/2022
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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04/06/2022
Failure Identification from Unstable Log Data using Deep Learning
The reliability of cloud platforms is of significant relevance because s...
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04/06/2022
Data-Driven Approach for Log Instruction Quality Assessment
In the current IT world, developers write code while system operators ru...
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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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03/10/2022
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
In highly distributed environments such as cloud, edge and fog computing...
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11/26/2021
A Taxonomy of Anomalies in Log Data
Log data anomaly detection is a core component in the area of artificial...
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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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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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09/27/2021
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments
Edge and fog computing architectures utilize container technologies in o...
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09/20/2021
A2Log: Attentive Augmented Log Anomaly Detection
Anomaly detection becomes increasingly important for the dependability a...
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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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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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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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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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02/23/2021
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
Anomalies or failures in large computer systems, such as the cloud, have...
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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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02/12/2021
Towards AIOps in Edge Computing Environments
Edge computing was introduced as a technical enabler for the demanding r...
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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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01/27/2021