Essays about: "distributed computing"

Showing result 21 - 25 of 216 essays containing the words distributed computing.

1. 21. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

   Author : Isabella Luppi; [2023]
   Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

   Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE

3. 22. The state of WebAssembly in distributed systems : With a focus on Rust and Arc-Lang

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

   Author : Theodor-Andrei Moise; [2023]
   Keywords : WebAssembly; Wasmer; Wasm; Rust; Arc-Lang; Distributed Systems; Continuous Deep Analytics; Docker containers; Performance benchmarking; WebAssembly; Wasmer; Wasm; Rust; Arc-Lang; Distributed Systems; Continuous Deep Analytics; Docker containers; Performance benchmarking;

   Abstract : With the current developments in modern web browsers, WebAssembly has been a rising trend over the last four years. Aimed at replacing bits of JavaScript functionality, it attempts to bring extra features to achieve portability and sandboxing through virtualisation. READ MORE

4. 23. Minimum Cost Distributed Computing using Sparse Matrix Factorization

   University essay from KTH/Optimeringslära och systemteori

   Author : Seif Hussein; [2023]
   Keywords : Applied mathematics; optimization; convex optimization; matrix factorization; sparse matrix factorization; distributed computing; linearly separable distributed computing; ADMM; alternating direction method of multipliers; tillämpad matematik; optimering; konvex optimering; matrisfaktorisering; gles matrisfaktorisering; distribuerade beräkningar; admm; alternating direction method of multipliers;

   Abstract : Distributed computing is an approach where computationally heavy problems are broken down into more manageable sub-tasks, which can then be distributed across a number of different computers or servers, allowing for increased efficiency through parallelization. This thesis explores an established distributed computing setting, in which the computationally heavy task involves a number of users requesting a linearly separable function to be computed across several servers. READ MORE

5. 24. Edge Compute Offloading Strategies using Heuristic and Reinforcement Learning Techniques.

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

   Author : Chrysoula Dikonimaki; [2023]
   Keywords : Computation offloading; Edge Computing; Heuristics; Multi-armed bandit; Beräkningsavlastning; Heuristics; Kantberäkning; Flerarmad bandit-algoritm;

   Abstract : The emergence of 5G alongside the distributed computing paradigm called Edge computing has prompted a tremendous change in the industry through the opportunity for reducing network latency and energy consumption and providing scalability. Edge computing extends the capabilities of users’ resource-constrained devices by placing data centers at the edge of the network. READ MORE

6. 25. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!

   University essay from Linköpings universitet/Kommunikationssystem

   Author : Martin Dahl; [2023]
   Keywords : Decentralized Stochastic Gradient Descent; Decentralized Learning; Medium Access Control; Wireless Communications; Machine Learning; Imperfect Communication; Resource-Constrained; Resource Allocation; Scheduling;

   Abstract : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. READ MORE