Searched for: contributor%3A%22Rellermeyer%2C+Jan+S.+%28mentor%29%22
(1 - 20 of 27)

Pages

List view
Grid view
document
Melas, Minas (author)
Data processing systems have become increasingly important in modern computing, as the volume and complexity of data that needs to be analyzed has grown dramatically. Multiple data processing systems have been and are being developed, that are scalable, resilient and performant.<br/><br/>However, despite the advances made in data processing...
master thesis 2023
document
Kanniainen, Konsta (author)
Various techniques have been studied to handle unexpected changes in data streams, a phenomenon called concept drift. When the incoming data is not labeled and the labels are also not obtainable with a reasonable effort, detecting these drifts becomes less trivial. This study evaluates how well two data distribution based label-independent drift...
bachelor thesis 2023
document
André, Baptiste (author)
When deployed in production, machine learning models sometimes lose accuracy over time due to a change in the distribution of the incoming data, which results in the model not reflecting reality any longer. A concept drift is this loss of accuracy over time. Drift detectors are algorithms used to detect such drifts. Drift detectors are important...
bachelor thesis 2023
document
Pohl, Jindřich (author)
Concept drift is an unforeseeable change in the underlying data distribution of streaming data, and because of such a change, deployed classifiers over that data show a drop in accuracy. Concept drift detectors are algorithms capable of detecting such a drift, and unsupervised ones detect drift without needing the data’s actual labels, which can...
bachelor thesis 2023
document
Eijsvogel, Nienke (author)
Containerization, a lightweight form of virtualization, increasingly became more popular in the last decade. Containers can offer a level of isolation and privacy to the user, which are not always sought after. High performance computing workloads benefit from having a custom container filesystem, but would suffer from any overhead incurred by...
master thesis 2022
document
Provó Kluit, Mark (author)
Large­scale machine learning frameworks can accelerate training of a neural network by per­ forming distributed training on a cluster using multiple GPUs per node and multiple nodes. Because distributed training on a cluster involves many nodes which need to communicate and load and exchange data, a machine learning framework may at certain...
master thesis 2022
document
de Jong, Gijs (author)
Automatically deriving 3D representations of buildings is a challenging problem which is at the base of a wide range of applications. The DE-RISC project aims to generate a 3D model of the entire city of Rotterdam in The Netherlands, enabling many of these applications. Generating a 3D model of a building can be done in a variety of ways, of...
master thesis 2022
document
Janssen, Martijn (author)
Thread pools, integrated in programming languages, packages and dependencies are widely used by developers. Thread pools assume they are running alone on the system, which is not always the case. Previous research has shown that adapting thread pool size has been effective under specific conditions. In this research, scaling the thread pool with...
master thesis 2022
document
Petrescu, Stefan (author)
Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence requiring automating the process of analysis. However, running automated log analysis pipelines is far from straightforward, due to the changing nature of software ecosystems caused by the constant need to adapt to user requirements. In practice,...
master thesis 2022
document
Russel, Erwin (author)
Cloud gaming is a new paradigm that allows users to play games in the cloud and stream them to a thin client. While there is little research about cloud gaming, containerization technologies such as Docker could provide a virtualization alternative to Virtual Machines, as these suffer from overhead and GPU pass-through constraints. With Rapture,...
master thesis 2022
document
Karpova, Natalia (author)
Anomaly detection has gathered plenty of attention in the previous years. However, there is little evidence of the fact that existing anomaly detection models could show similar performance on different streaming datasets. <br/>Within this study, we research the applicability of existing anomaly detectors to a wide range of univariate streams....
master thesis 2022
document
Eysbach, Jelle (author)
Serverless computing is a relatively recent paradigm that promises fine-grained billing and ease-of-use by abstracting away cloud infrastructure for developers. There is an increasing interest in using the serverless paradigm to execute data analysis tasks. Serverless functions often interact with external services, which can be considered...
master thesis 2022
document
Oudejans, Daan (author)
Data compliance is essential for ensuring that organizations do not run afoul of data protection and privacy legislation. Geographically distributed data is an especially relevant topic because of recent developments in cross-border data protection agreements between the United States and the European Union. We introduce Qompliance, a novel...
master thesis 2022
document
Fiorini, Federico (author)
The ever-increasing amount of data being generated worldwide, combined with the business advantages for companies in quickly and efficiently processing such data, have accelerated the research and development into big data analytics. Existing solutions for storing and computing data can no longer give the required processing performance, and...
master thesis 2021
document
Weng, Weikang (author)
Currently, the solution for dynamic memory reallocation is often left to a simple malloc-copy-free sequence. However, with the growing size of the memory object, this copying operation will have considerable CPU and memory costs before the content finishes its copy.<br/><br/>This report aims to achieve a nearly zero-copy reallocation scheme for...
master thesis 2021
document
Belzer, Nick (author)
Mobile networks deal with an increasing portion of the IP Traffic due to the significant growth in the number of mobile devices and the accompanied lifestyle. A large fraction of this IP traffic is spent on duplicate transfers for the same resources. Previous work has shown that a Content Delivery Network (CDN) based on edge-nodes can reduce...
master thesis 2021
document
Huang, Guangzhe (author)
With the advent of the cloud-native paradigm, the software development and deployment style has significantly reformed. An increasing number of enterprises are migrating their microservice applications onto Kubernetes, a production-grade container orchestration platform, to fully use the advantages of Kubernetes in self-healing, service...
master thesis 2021
document
Albo Martinez, Diego (author)
Serverless computing is an emerging paradigm for structuring applications in such a way that they can benefit from on-demand computing resources and achieve horizontal scalability. As such, it is an ideal substrate for the resource-intensive and often ad-hoc task of training deep learning models. However, the design and stateless nature of...
master thesis 2021
document
Xie, Yuanhao (author)
The development of artificial intelligence (AI) has made various industries eager to realise and obtain the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques, thereby, however, ignoring an increasing set of practical problems related to AI...
master thesis 2020
document
Agrawal, Niket (author)
Edge computing extends the cloud computing capabilities to the edge of the network to facilitate processing of the data in the close proximity of its generation. It augments the deployment of several applications in the Internet of Things (IoT) domain which demand low latency and near real-time response for their reliable operation. However, the...
master thesis 2020
Searched for: contributor%3A%22Rellermeyer%2C+Jan+S.+%28mentor%29%22
(1 - 20 of 27)

Pages

List view
Grid view