Sökning: "Peter Van Roy"
Visar resultat 1 - 5 av 9 avhandlingar innehållade orden Peter Van Roy.
1. Performance Optimization Techniques and Tools for Distributed Graph Processing
Sammanfattning : In this thesis, we propose optimization techniques for distributed graph processing. First, we describe a data processing pipeline that leverages an iterative graph algorithm for automatic classification of web trackers. LÄS MER
2. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning
Sammanfattning : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. LÄS MER
3. Enabling and Achieving Self-Management for Large Scale Distributed Systems : Platform and Design Methodology for Self-Management
Sammanfattning : Autonomic computing is a paradigm that aims at reducing administrative overhead by using autonomic managers to make applications self-managing. To better deal with large-scale dynamic environments; and to improve scalability, robustness, and performance; we advocate for distribution of management functions among several cooperative autonomic managers that coordinate their activities in order to achieve management objectives. LÄS MER
4. Compile-time Safety and Runtime Performance in Programming Frameworks for Distributed Systems
Sammanfattning : Distributed Systems, that is systems that must tolerate partial failures while exploiting parallelism, are a fundamental part of the software landscape today. Yet, their development and design still pose many challenges to developers when it comes to reliability and performance, and these challenges often have a negative impact on developer productivity. LÄS MER
5. Towards Elastic High-Performance Geo-Distributed Storage in the Cloud
Sammanfattning : In this thesis, we have presented techniques and algorithms to reduce request latency of distributed storage services that are deployed geographically. In addition, we have proposed and designed elasticity controllers to maintain predictable performance of distributed storage systems under dynamic workloads and platform uncertainties. LÄS MER