Sökning: "Edge Computing"
Visar resultat 6 - 10 av 78 avhandlingar innehållade orden Edge Computing.
6. Networked Latency Sensitive Applications - Performance Issues between Cloud and Edge
Sammanfattning : The increasing demand for industrial automation has motivated the development of applications with strict latency requirements, namely, latency-sensitive applications. Such latency requirements can be satisfied by offloading computationally intensive tasks to powerful computing devices over a network at the cost of additional communication latency. LÄS MER
7. Resource Allocation for Mobile Edge Computing Systems
Sammanfattning : The rapid development of mobile information industry has led to the emergence of various mobile applications in areas such as industrial automation, health care or transportation. These applications often require heavy computations with strict latency requirement, which may surpass the processing abilities of the mobile devices. LÄS MER
8. Resource allocation for Mobile Edge Clouds
Sammanfattning : Recent advances in Internet technologies have led to the proliferation of new distributed applications in the transportation, healthcare, mining, security, and entertainment sectors. The emerging applications have characteristics such as being bandwidth-hungry, latency-critical, and applications with a user population contained within a limited geographical area, and require high availability, low jitter, and security. LÄS MER
9. 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
10. 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