Sökning: "Computer Systems Sciences"
Visar resultat 21 - 25 av 2838 avhandlingar innehållade orden Computer Systems Sciences.
21. Accelerating Distributed Storage in Heterogeneous Settings
Sammanfattning : Heterogeneity in cloud environments is a fact of life—from workload skews and network path changes, to the diversity of server hardware components, these are all factors that impact the performance of distributed storage. In this dissertation, we identify that heterogeneity can in fact be one of the primary causes of service degradation for storage systems. LÄS MER
22. Deterministic, Explainable and Resource-Efficient Stream Processing for Cyber-Physical Systems
Sammanfattning : We are undeniably living in the era of big data , where people and machines generate information at an unprecedented rate. While processing such data can provide immense value, it can prove especially challenging because of the data's Volume, Variety and Velocity . LÄS MER
23. Design Support for e-Commerce Information Systems using Goal, Business and Process Modelling
Sammanfattning : Enterprises use various models to find design solutions to their e-Commerce information systems. Goal, business and process models are parts of a chain of models used for this purpose. Business modelling requires structured methods to support design and traceability. LÄS MER
24. QoS Driven Coordinated Management of Resources to Save Energy in Multi-Core Systems
Sammanfattning : Reducing the energy consumption of computing systems is a necessary endeavor. However, saving energy should not come at the expense of degrading user experience. To this end, in this thesis, we assume that applications running on multi-core processors are associated with a quality-of-service (QoS) target in terms of performance constraints. LÄS MER
25. Falsification of Signal-Based Specifications for Cyber-Physical Systems
Sammanfattning : In the development of software for modern Cyber-Physical Systems, testing is an integral part that is rightfully given a lot of attention. Testing is done on many different abstraction levels, and especially for large-scale industrial systems, it can be difficult to know when the testing should conclude and the software can be considered correct enough for making its way into production. LÄS MER