Sökning: "Erik Elmroth"
Visar resultat 21 - 25 av 37 avhandlingar innehållade orden Erik Elmroth.
21. 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
22. Cost- and Performance-Aware Resource Management in Cloud Infrastructures
Sammanfattning : High availability, cost effectiveness and ease of application deployment have accelerated the adoption rate of cloud computing. This fast proliferation of cloud computing promotes the rapid development of large-scale infrastructures. LÄS MER
23. Autonomous resource management for Mobile Edge Clouds
Sammanfattning : Mobile Edge Clouds (MECs) are platforms that complement today's centralized clouds by distributing computing and storage capacity across the edge of the network, in Edge Data Centers (EDCs) located in close proximity to end-users. They are particularly attractive because of their potential benefits for the delivery of bandwidth-hungry, latency-critical applications. LÄS MER
24. Location-aware resource allocation in mobile edge clouds
Sammanfattning : Over the last decade, cloud computing has realized the long-held dream of computing as a utility, in which computational and storage services are made available via the Internet to anyone at any time and from anywhere. This has transformed Information Technology (IT) and given rise to new ways of designing and purchasing hardware and software. LÄS MER
25. Edge orchestration for latency-sensitive applications
Sammanfattning : The emerging edge computing infrastructure provides distributed and heterogeneous resources closer to where data is generated and where end-users are located, thereby significantly reducing latency. With the recent advances in telecommunication systems, software architecture, and machine learning, there is a noticeable increase in applications that require processing times within tight latency constraints, i. LÄS MER