Sökning: "Geo-Distributed Systems"
Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Geo-Distributed Systems.
1. Reducing Long Tail Latencies in Geo-Distributed Systems
Sammanfattning : Computing services are highly integrated into modern society. Millions of people rely on these services daily for communication, coordination, trading, and accessing to information. To meet high demands, many popular services are implemented and deployed as geo-distributed applications on top of third party virtualized cloud providers. LÄS MER
2. Enabling Fast and Accurate Run-Time Decisions in Geo-Distributed Systems : Better Achieving Service Level Objectives
Sammanfattning : Computing services are highly integrated into modern society and used by millions of people daily. To meet these high demands, many popular services are implemented and deployed as geo-distributed applications on top of third-party virtualized cloud providers. However, the nature of such a deployment leads to variable performance. LÄS MER
3. 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
4. Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers
Sammanfattning : In this thesis, our goal is to enable and achieve effective and efficient real-time stream processing in a geo-distributed infrastructure, by combining the power of central data centers and micro data centers. Our research focus is to address the challenges of distributing the stream processing applications and placing them closer to data sources and sinks. LÄS MER
5. Methods and Algorithms for Data-Intensive Computing : Streams, Graphs, and Geo-Distribution
Sammanfattning : Struggling with the volume and velocity of Big Data has attracted lots of interest towards stream processing paradigm, a paradigm in the area of data-intensive computing that provides methods and solutions to process data in motion. Today's Big Data includes geo-distributed data sources. LÄS MER