Sökning: "Edge Computing"

Visar resultat 11 - 15 av 78 avhandlingar innehållade orden Edge Computing.

1. 11. Offline Task Scheduling in a Three-layer Edge-Cloud Architecture

   Författare :Ayeh Mahjoubi; Karl-Johan Grinnemo; Arunselvan Ramaswamy; Alessandro Papadopoulos; Karlstads universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; task offloading; task scheduling; edge computing; internet of things; optimization techniques; heuristics; meta-heuristics; Computer Science; Datavetenskap;

   Sammanfattning : Internet of Things (IoT) devices are increasingly being used everywhere, from the factory to the hospital to the house to the car. IoT devices typically have limited processing resources, so they must rely on cloud servers to accomplish their tasks. Thus, many obstacles need to be overcome while offloading tasks to the cloud. LÄS MER

3. 12. Managing cloud resource scarcity

   Författare :Lars Larsson; Erik Elmroth; Cristian Klein; Philipp Leitner; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; cloud computing; edge computing; kubernetes; federation; scheduling; quality elasticity;

   Sammanfattning : According to the Infrastructure-as-a-Service conceptualization of cloud computing, Infrastructure Providers offer utility-like pay-as-you-go access to computing resources (e.g., data processing, networks, and storage) to Service Providers, who use those resources to host applications for the benefit of end users. LÄS MER

4. 13. Distributed Intelligence-Assisted Autonomic Context-Information Management : A context-based approach to handling vast amounts of heterogeneous IoT data

   Författare :Hasibur Rahman; Rahim Rahmani; Theo Kanter; Elhadi Shakshuki; Stockholms universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Context information; Intelligence; Edge computing; Distributed computing; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : As an implication of rapid growth in Internet-of-Things (IoT) data, current focus has shifted towards utilizing and analysing the data in order to make sense of the data. The aim of which is to make instantaneous, automated, and informed decisions that will drive the future IoT. LÄS MER

5. 14. Scalable Data Management for Internet of Things

   Författare :Khalid Mahmood; Tore Risch; Kjell Orsborn; Georgios J Fakas; Erik Zeitler; Vera Goebel; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NoSQL; IoT; Smart Computing; MongoDB; IIoT; Data Streams; Edge Computing; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

   Sammanfattning : Internet of Things (IoT) often involve considerable numbers of sensors that produce large volumes of data. In this context, efficient management of data could potentially enable automatic decision making based on analytics of sensors on equipment. LÄS MER

7. 15. Control over the Cloud : Offloading, Elastic Computing, and Predictive Control

   Författare :Per Skarin; Institutionen för reglerteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud; Control Theory; Model Predictive Control; Offloading; Elastic Computing; Networks; Utility Computing; Cloud Services; Internet-of-Things; Distributed Cloud; 5G Systems;

   Sammanfattning : The thesis studies the use of cloud native software and platforms to implement critical closed loop control. It considers technologies that provide low latency and reliable wireless communication, in terms of edge clouds and massive MIMO, but also approaches industrial IoT and the services of a distributed cloud, as an extension of commercial-of-the-shelf software and systems. LÄS MER