Sökning: "adaptive scaling"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden adaptive scaling.

  1. 1. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Nikhil Boyapati; [2023]
    Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

    Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

  3. 2. Performance Evaluation of Vehicular Communication in Simulated Environment : A Comprehensive Evaluation of Vehicular Communication in LTE/5G Networks using a Simulated Environment

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Saroop Suresh; [2023]
    Nyckelord :;

    Sammanfattning : This thesis presents a thorough evaluation of vehicular communication performance in LTE/5G networks through simulation. Focusing on TCP and UDP protocols, the study examines factors like window size, signal strength, and fading effects, emphasizing adaptive window sizing, TCP window scaling, and optimal UDP settings. LÄS MER

  4. 3. Mitigating serverless cold starts through predicting computational resource demand : Predicting function invocations based on real-time user navigation

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Gustav Persson; William Branth Sjöberg; [2023]
    Nyckelord :serverless functions; cold start; provisioned concurrency; adaptive scaling; mitigation; predicting function invocations; monitoring real-time user navigation;

    Sammanfattning : Serverless functions have emerged as a prominent paradigm in software deployment, providing automated resource scaling, resulting in demand-based operational expenses. One of the most significant challenges associated with serverless functionsis the cold start delay, preventing organisations with latency-critical web applications from adopting a serverless technology. LÄS MER

  5. 4. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

  7. 5. Adaptive random walks on graphs to sample rare events

    Master-uppsats, Stockholms universitet/Fysikum

    Författare :David Christoph Stuhrmann; [2023]
    Nyckelord :statistical physics; graphs; random walks; large deviation theory; adaptive power method; dynamical phase transition;

    Sammanfattning : In this thesis, I study fluctuations and rare events of time-additive observables of discrete-time Markov chains on finite state spaces. The observable of interest is the mean node connectivity visited by a random walk running on instances of an Erdős-Rényi (ER) random graph. LÄS MER