Optimizing Database Joins: Cost Models and Benchmarking for CPU and GPU Systems

Optimizing SQL query execution through effective cost models is a critical challenge in database management systems (DBMS). This thesis introduces a modular benchmarking system for cost models, with a pluggable architecture for both cost models and execution engines, enabling comprehensive benchmarking across various scenarios. Accompanied by a...

Understanding the environmental impact of product returns in the fashion industry: The development of a Composite Indicator to provide insights into the environmental and economic performance of product returns for fashion companies

Purpose - With the ongoing rise of product returns in the fashion industry, exacerbating its GHG footprint when it should be lowered, this paper aims to provide a measurement tool for companies to improve the environmental impact of product returns while considering the economic costs. Companies do not have an understanding of the impact of...

Laying the foundation for building a Quantum Networking Benchmark suite using Quantum Network Applications: Evaluating the inclusion of the Clauser-Horne-Shimony-Holt game quantum network application

The rapid advancement of Quantum Network architectures necessitates a comprehensive and quantitative comparison to assess their effectiveness and performance. Unfortunately, there does not exist an implemented quantum network benchmark suite capable of determining the superior architecture. Hence, our study aims to establish the foundation for...

Federated learning: a comparison of methods: How do different Federated Learning frameworks compare?

Federated Learning is a machine learning paradigm for decentralized training over different clients. The training happens in rounds where each client learns a specific model which is then aggregated by a central server and passed back to the clients. Since the paradigm’s inception, many frameworks that provide Federated Learning tools and...

Enriching Machine Learning Model Metadata: Collecting performance metadata through automatic evaluation

As the sharing of machine learning (ML) models has increased in popularity, more so-called model zoos are created. These repositories facilitate the sharing of models and their metadata, and other people to find and re-use an existing model. However, the metadata provided for models is insufficient, with little focus on practical aspects of a...

Benchmarking and Algorithm Optimization for SENeCA: A RISC-V-based Neuromorphic Processor

With recent breakthroughs in AI (Artificial Intelligence) technology, the impact of AI on society can be felt in various fields. The market for AI software, for example, reached a valuation of \$62 billion in 2022. A growing number of new computer architectures specialized in running these AI software were also developed. At first they were run...

QPack: A cross-platform quantum benchmark-suite: Quantitative performance metrics for application-oriented quantum computer benchmarking

As the technology of quantum computers improves, the need to evaluate their performance also becomes an important tool for indexing and comparing of quantum performance. Current benchmarking proposals either focus on gate-level evaluation, are centered around a single performance metric, or only evaluate in-house quantum computers. This gives...

Reliability Benchmarking of Eurocode 7 Design Examples: CIE5050-09: Additional Thesis Project 2021

The application of reliability analysis in geotechnical engineering is relatively new compared to the other sections of civil engineering such as structural engineering and hydraulic engineering. However, due to its increases use in recent years, reliability analysis is planned to be included extensively in the upcoming Eurocode 7 (EN 1997)....

Benchmarking Checkpoint-based Fault Tolerance Algorithms in Stateful Stream Processing

Major advances in the fault tolerance of distributed stream processing systems provided the systems with the capacity to produce strictly consistent results under failures. Consistent fault tolerance has been one of the catalysts fueling the maturity of streaming systems and boosting their widespread adoption not only for analytics use cases,...

Benchmarking the hyper-parameter sensitivity of VAE models for cancer treatment

Cancer has been known as a deadly and complex disease to tackle. By applying machine learning algorithms we hope to improve personalized treatment for cancer patients. These machine learning algorithms are trying to learn a (latent) representation of the input. The problem is that this representation is hard to interpret and to observe the...

Benchmarking Distributed Database Performance and Dependability under Partial System Failures

Many types of database management systems exist, but finding the one that is right for a specific use case is becoming increasingly more difficult. Benchmarks allow one to compare various systems, but in a world where distributed DBMSs are increasingly used for mission critical purposes, we find most existing benchmarks neglect fault tolerance...

Study of Shipbuilding Competitiveness: Benchmarking analysis as a tool to measure shipyards' competitiveness with a focus on Asian yards

The shipbuilding industry is not a standalone industry. It integrates with the shipping market, and therefore one characteristic of the shipbuilding industry is complexity. Competitiveness is a multi-dimensional concept that can be measured in numerous ways. The author found that these multi-dimensional concepts can better be translated into...

Benchmarking the Performance of Ports on Asset Management

Over the past decade, the complexity of operations in the port area has increased significantly. As global trade increased significantly, vessel sizes and cargo volumes surged, which places additional pressure on the ports' (physical) assets. Both the challenges the ports are facing and the willingness to ensure continuous improvement have...

Port Sustainability: A Terminal Comparison Approach: Benchmarking Sustainable Performance of Terminal Operators

As ports are important infrastructure for a countries economy, ports fulfill a vital role in society. In the contemporary global environment, one is expected to adjust its business routines to meet sustainability targets. Because of their significant importance in a port governance framework, terminal operators prove an interesting unit of...

Benchmarking municipal sport policy: The design and execution of a benchmark for municipal policy-makers to evaluate the portfolio sport facilities

This thesis is focused on benchmarking municipal sport policy. Physical activity is used by the Dutch government as a policy tool to create a healthy society. The Ministry of Health, Welfare and Sport stimulate people to adopt active life styles in order to combat the prosperity diseases: overweight, diabetes and depression. In benchmarking...

Graphalytics Global Competition: A Competition Platform to Compare Different Graph Processing Platforms

Graphs are becoming more popular day by day. This has lead to the development of different graph-processing platforms, such as Hadoop, Apache Giraph and GraphLab. With this wide variety of graph processing platforms, which one should we choose for a specific use case? Which platform has the best performance? To solve this issue, we can benchmark...

Infuences on real estate benchmarking practice: Understanding the challenges and opportunities in the real estate benchmarking process

According to current theory, corporate real estate departments should choose a limited set of personalized Key Performance Indicators that are based on their own strategy and context. In general, organizations are often found to lack an objective assessment and rationale for the selection of these KPIs. Although previous studies have made an...