Essays about: "edge computation"

Showing result 1 - 5 of 42 essays containing the words edge computation.

1. 1. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Weilin Zhang; [2023]
   Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

   Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

3. 2. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

   Author : Shihang Zhou; [2023]
   Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

4. 3. 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

5. 4. 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

6. 5. 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