Sökning: "centralized"
Visar resultat 16 - 20 av 287 avhandlingar innehållade ordet centralized.
16. 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
17. Privacy Issues in Decentralized Online Social Networks and other Decentralized Systems
Sammanfattning : Popular Online Social Networks (OSNs), such as Facebook or Twitter, are logically centralized systems. The massive information aggregation of sensitive personal data at the central providers of these services is an inherent threat to the privacy of the users. LÄS MER
18. Efficient Design of Decentralized Privacy and Trust in Distributed Digital Marketplaces
Sammanfattning : The aim of this thesis is to advance the knowledge on the efficient design and evaluation of distributed marketplaces with an emphasis on trust and privacy. Distributed systems are an integral part of today's computing infrastructures, enabling multiple nodes to work towards a common goal. LÄS MER
19. Divide and Conquer: Distributed Optimization and Robustness Analysis
Sammanfattning : As control of large-scale complex systems has become more and more prevalent within control, so has the need for analyzing such controlled systems. This is particularly due to the fact that many of the control design approaches tend to neglect intricacies in such systems, e.g. LÄS MER
20. Privacy Analysis and Protocols for Decentralized Online Social Networks
Sammanfattning : Decentralized Online Social Networks (DOSNs) are evolving as a promising approach to mitigate design-inherent privacy flaws of logically centralized services such as Facebook, Google+ or Twitter. Common approaches to implement a DOSN build upon a peer-to-peer (P2P) architecture in order to avoid the central aggregation of sensitive user data at one provider-controlled location. LÄS MER