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Eickhoff, Jerrit (author)
Online gaming is the world’s largest entertainment industry by revenue, and supports over 3 billion consumers worldwide. Many of the world’s most popular online games must manage millions of concurrent players through a single unified service. Achieving performant and scalable online games is challenging. Online games are subject to stringent...
master thesis 2024
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Hernandez Quintanilla, Tomás (author)
Similarity joins are operations which involve identifying similar pairs of records within one or multiple datasets. These operations are typically time-sensitive, as timely identification of relations can lead to increased profitability. Therefore, it is advantageous to analyze them using a stream processing system, which offers real-time...
master thesis 2023
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Pîrcălăboiu, Laura (author)
Docker has been one of the most widely used DevOps tools in the last decade, enabling fast development of personalized services. Indeed, the common practice is to reuse already available containers and customize them based on the developer's needs. DockerHub is the leading platform for uploading and downloading Docker containers. Unfortunately,...
master thesis 2023
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Petrov, Martin (author)
Consensus algorithms, as well as distributed systems in general, are vulnerable to concurrency bugs due to non-determinism. Such bugs are hard to detect since it is necessary to test using a lot of different scenarios and even then, there is no guarantee to find one. <br/><br/>Controlled concurrency testing is a proposed solution to that problem...
bachelor thesis 2023
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Gavalas, Nikos (author)
The adoption of the serverless architecture and the Function-as-a-Service model has significantly increased in recent years, with more enterprises migrating their software and hardware to the cloud. However, most applications require state management, leading to the use of external databases. To alleviate the burden of state management, there...
master thesis 2023
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Dekker, Nick (author)
Fault injection has been a long-standing technique for testing software. Injecting faults into a system, either in production or development environments, offers unique opportunities to discover bugs that are difficult to reproduce using conventional testing methods. However, it is widely considered to have a high implementation threshold. Due...
master thesis 2023
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Koning, Robbert (author)
Recent years have seen an increasing interest in stablecoins from major corporate and governmental parties. The European Central Bank is investigating the possibility of introducing its own Central Bank Digital Currency. The desired features of such a currency are under discussion. One such feature is offline spending: the ability to use the...
master thesis 2023
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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
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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
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van Meerten, Martijn (author)
Distributed concurrency bugs (DC bugs) are bugs that are triggered by a specific order of events in distributed systems. Traditional model checkers systematically or randomly test interleavings but suffer from the state-space explosion in long executions. This thesis presents DiscoTest, a testing tool for DC bugs in blockchain consensus...
master thesis 2022
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Shen, Yu (author)
Payment channel networks (PCNs) are a promising solution to the blockchain scalability problem. They move payments off-chain, i.e., not all payments have to be included in the blockchain. Thus, they do not require that every payment is broadcast to all participants and verified by them. Not requiring global consensus reduces latency, computation...
master thesis 2022
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Sluijk, Dany (author)
In this paper we will consider the Byzantine Reliable Broadcast problem on partially connected net- works. We introduce an routing algorithm for networks with a known topology. It will show that when this is combined with cryptographic signatures, we can use the routing algorithm to create an optimal amount of messages. We will introduce a few...
bachelor thesis 2022
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Koper,ook geschreven Jansen, Wybe (author)
As the world continues to embrace cloud computing, more applications are being scaled elastically. Elastic scaling allows applications to add or remove computing resources based on the load experienced by the application. When the load is high more resources are provisioned enabling the application to keep up with the load. When the load is low...
master thesis 2022
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Hendrikx, Roemer (author)
In the past 8 years, Bitcoin has dominated the cryptocurrency markets and drawn attention from academia, developers and legislators alike. Bitcoin has been praised for its impact on decentralizing trust and currencies but also criticized for its volatility and energy-inefficient consensus mechanism. To improve its limitations, in 2016, payment...
master thesis 2022
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Chotkan, Rowdy (author)
This research has been performed in pursuit of the MSc Computer Science at Delft University of Technology in collaboration with the Dutch National Office for Identity Data (RvIG), part of the Dutch Ministry of the Interior and Kingdom Relations. Self-Sovereign Identity (SSI) is a relatively new concept part of a movement aspiring to create a...
master thesis 2021
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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
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Proost, Rick (author)
Monitoring software behaviour is being done in various ways. Log messages are being output by almost any kind of running software system. Therefore, learning how software behaves from doing analysis over log data can lead to new insights about the system. However, the number of log messages in a computer system grow fast, and analysing the log...
master thesis 2020
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Valdivia, Diego (author)
The rise of e-commerce has led to a congested last-mile delivery paradigm. Increasing customer expectations have pushed carriers into a delivery market with diminishing profitability. Furthermore, the current state of last-mile delivery has high societal costs in congestion and environmental impact. To address these challenges, scientists in the...
master thesis 2020
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Speelman, Tim (author)
Self-Sovereign Identity (SSI) is a new paradigm in digital identity systems that puts the end-user in control: no other actor manages, permits or revokes their digital existence. TrustChain is an academic peer-to-peer networking stack supporting SSI. It delivers passport-grade assurance by integrating with Dutch government....
master thesis 2020
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Graur, Dan (author)
Given the increasing popularity of Machine Learning, and the ever increasing need to solve larger and more complex learning challenges, it is unsurprising that numerous distributed learning strategies have been brought forward in recent years, along with many large scale Machine Learning frameworks. It is however unclear how well these...
master thesis 2019
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