873 citations · 971 across the 15 of their papers we have counts for
16 papers
Towards a Middleware for Large Language Models
Narcisa Guran, Florian Knauf, Man Ngo +2
Large language models have gained widespread popularity for their ability to process natural language inputs and generate insights derived from their training data, nearing the qua…
Recognizing and Reconstructing a Multi-Unit Floor Plan
Lukas Kratochvila, Gijs de Jong, Monique Arkesteijn +4
Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orien…
Log Parsing Evaluation in the Era of Modern Software Systems
Stefan Petrescu, Floris den Hengst, Alexandru Uta +1
Due to the complexity and size of modern software systems, the amount of logs generated is tremendous. Hence, it is infeasible to manually investigate these data in a reasonable ti…
Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen +1
As machine learning models increasingly replace traditional business logic in the production system, their lifecycle management is becoming a significant concern. Once deployed int…
Future Computer Systems and Networking Research in the Netherlands: A Manifesto
Alexandru Iosup, Fernando Kuipers, Ana Lucia Varbanescu +6
Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys). With…
In-Memory Indexed Caching for Distributed Data Processing
Alexandru Uta, Bogdan Ghit, Ankur Dave +2
Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suite…
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…
A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
Vincent van Rijn, Jan S. Rellermeyer
With the ever-increasing pervasiveness of the cloud computing paradigm, strong isolation guarantees and low performance overhead from isolation platforms are paramount. An ideal is…
RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System
Yapeng Jasper Hu, Ralph van Gurp, Ashay Somai +2
Consistent alpha generation, i.e., maintaining an edge over the market, underpins the ability of asset traders to reliably generate profits. Technical indicators and trading strate…
Systematic Mapping Study on the Machine Learning Lifecycle
Yuanhao Xie, Luís Cruz, Petra Heck +1
The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of w…
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Hao Li, Zixuan Li, Kenli Li +3
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the \underline{H}igh-\under…
A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy +3
The demand for artificial intelligence has grown significantly over the last decade and this growth has been fueled by advances in machine learning techniques and the ability to le…
Is Big Data Performance Reproducible in Modern Cloud Networks?
Alexandru Uta, Alexandru Custura, Dmitry Duplyakin +5
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our survey of top systems conferences reveals th…
Container Density Improvements with Dynamic Memory Extension using NAND Flash
Jan S. Rellermeyer, Maher Amer, Richard Smutzer +1
While containers efficiently implement the idea of operating-system-level application virtualization, they are often insufficient to increase the server utilization to a desirable…
The Coming Age of Pervasive Data Processing
Jan S. Rellermeyer, Sobhan Omranian Khorasani, Dan Graur +1
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing fram…
MAVIS: Managing Datacenters using Smartphones
Raghav Shankar, Benjamin Kobin, Saurabh Bagchi +2
Distributed monitoring plays a crucial role in managing the activities of cloud-based datacenters. System administrators have long relied on monitoring systems such as Nagios and G…