Essays about: "Edge-computing"

Showing result 6 - 10 of 78 essays containing the word Edge-computing.

1. 6. Low-power Implementation of Neural Network Extension for RISC-V CPU

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dario Lo Presti Costantino; [2023]
   Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

3. 7. Computation Offloading for Real-Time Applications

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Emina Tahirović; [2023]
   Keywords : Offloading; Real-Time; Edge Computing; Cloud Computing;

   Abstract : With the vast and ever-growing range of applications which have started to seek real-time data processing and timing-predictable services comes an extensive list of problems when trying to establish these applications in the real-time domain. Depending on the purpose of the real-time application, the requests that they impose on resources are vastly different. READ MORE

4. 8. Computation Offloading for Real-Time Applications : Server Time Reservation for Periodic Tasks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lizzy Tengana Hurtado; [2023]
   Keywords : Computation Offloading; Real-Time Applications; Resource Reservation; Beräkningsavlastning; realtidsapplikationer; resursreservation;

   Abstract : Edge computing is a distributed computing paradigm where computing resources are located physically closer to the data source compared to the traditional cloud computing paradigm. Edge computing enables computation offloading from resource-constrained devices to more powerful servers in the edge and cloud. READ MORE

5. 9. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

   University essay from Uppsala universitet/Signaler och system

   Author : Oskar Falkeström; [2023]
   Keywords : edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

   Abstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE

6. 10. Measuring the responsiveness of WebAssembly in edge network applications

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Remo Scolati; [2023]
   Keywords : Cloud Computing; Edge Computing; Internet of Things; WebAssembly; Cloud Computing; Edge Computing; Internet of Things; WebAssembly;

   Abstract : Edge computing facilitates applications of cyber-physical systems that require low latencies by moving compute and storage resources closer to the end application. Whilst the edge network benefits such systems in terms of responsiveness, it increases the systems’ complexity due to edge devices’ often heterogeneous and resource-constrained nature. READ MORE