Sökning: "“Query Optimization”"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden “Query Optimization”.

  1. 1. Database Tuning using Evolutionary and Search Algorithms

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Erica Raneblad; [2023]
    Nyckelord :Database tuning; Performance optimization; Evolutionary algorithms; Particle Swarm Optimization; Database configuration; Hill Climbing;

    Sammanfattning : Achieving optimal performance of a database can be crucial for many businesses, and tuning its configuration parameters is a necessary step in this process. Many existing tuning methods involve complex machine learning algorithms and require large amounts of historical data from the system being tuned. LÄS MER

  3. 2. Optimizing databases in the cloud based on performance and cost savings

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Felix Nilsson; Daniel Mihajlovic; [2022]
    Nyckelord :Resource provisioning; Cloud service platform; Optimizing cost; Database; Performance; Metrics; Technology and Engineering;

    Sammanfattning : As cloud service providers becomes more prevalent, so does questions related to cost efficiency of hosted resources. Payment models for cloud hosted resources tend to be either subscription based or pay-as-you-go for computing resources, in this case for compound metrics of CPU, Data IO and Log IO. LÄS MER

  4. 3. Serverless Streaming Graph Analytics with Flink Stateful Functions

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

    Författare :Sihan Chen; [2022]
    Nyckelord :Temporal Graph; Graph Analytics; Flink Stateful Functions; Serverless; FaaS;

    Sammanfattning : Serverless Function as a Service (FaaS) platforms have been an emerging trend nowadays with the continuous improvement of the cloud-native ecosystem. Graph streaming analytics is a widely-known research area that demands well-designed computation paradigms and complex optimization of storage and queries. LÄS MER

  5. 4. Active Learning for Solving Expensive Optimization Problems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Siwei Fu; [2022]
    Nyckelord :;

    Sammanfattning : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. LÄS MER

  7. 5. Workload Detection and Continuous Automatic Bayesian Optimization in Database Management Systems

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Jonas Boström; Viktor Olsson; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The goal of this thesis has been to investigate the possibility of multi-workload optimization in Database Management Systems and workload detection. A system was successfully constructed to allow for multi-workload testing and data aggregation. LÄS MER