Sökning: "Rolf Stadler"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Rolf Stadler.
1. A Middleware for Self-Managing Large-Scale Systems
Sammanfattning : This thesis investigates designs that enable individual components of a distributed system to work together and coordinate their actions towards a common goal. While the basic motivation for our research is to develop engineering principles for large-scale autonomous systems, we address the problem in the context of resource management in server clusters that provide web services. LÄS MER
2. Scalable Self-Organizing Server Clusters with Quality of Service Objectives
Sammanfattning : Advanced architectures for cluster-based services that have been recently proposed allow for service differentiation, server overload control and high utilization of resources. These systems, however, rely on centralized functions, which limit their ability to scale and to tolerate faults. LÄS MER
3. Adaptive Real-time Monitoring for Large-scale Networked Systems
Sammanfattning : Large-scale networked systems, such as the Internet and server clusters, are omnipresent today. They increasingly deliver services that are critical to both businesses and the society at large, and therefore their continuous and correct operation must be guaranteed. LÄS MER
4. Performance anomaly detection and resolution for autonomous clouds
Sammanfattning : Fundamental properties of cloud computing such as resource sharing and on-demand self-servicing is driving a growing adoption of the cloud for hosting both legacy and new application services. A consequence of this growth is that the increasing scale and complexity of the underlying cloud infrastructure as well as the fluctuating service workloads is inducing performance incidents at a higher frequency than ever before with far-reaching impact on revenue, reliability, and reputation. LÄS MER
5. Managing Resource Usage and Allocations in Multi-Cluster Clouds
Sammanfattning : The emergence of large-scale Internet services has fueled a trend toward large-scale systems composed of geographically distributed clusters. Managing resource allocations and resource usage is an important task for such services. LÄS MER