Essays about: "Amazon web services AWS"

Showing result 21 - 25 of 41 essays containing the words Amazon web services AWS.

  1. 21. Video Recommendation through Machine Learning in Amazon Web Services.

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

    Author : Sajaval Choudrey; [2021]
    Keywords : ;

    Abstract : Machine learning is a field within Computer Science that is still growing. Finding innovative ways to utilise the potential of Machine learning is important for the future of many companies and service providers. READ MORE

  3. 22. Data Retrieval Strategy for Modern Database Models in a Serverless Architecture

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

    Author : Therese Jonsson; [2020]
    Keywords : ;

    Abstract : The arising presence of social media platforms shapes modern system architectures to handle performance and scale. As user volumes increase, the need to keep data consistent and available at storage locations across the world adds complexity in distributed systems. READ MORE

  4. 23. AWS lambda functions vs. Virtual server for a DNS firewall

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Buster Hultgren Wärn; [2020]
    Keywords : ;

    Abstract : Malicious websites contain ways of tricking its victims into downloading malware or getting their sensitive information such as username and passwords. Traditional firewalls block these websites on the client side after already requesting their contents. READ MORE

  5. 24. Semantic Segmentation of Iron Pellets as a Cloud Service

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Rosenvall Christopher; [2020]
    Keywords : AWS; Amazon Web Services; Iron Pellets; Iron Ore; Iron Ore Pellets; Cloud; Cloud Service; Semantic Segmentation; Machine Learning; SageMaker; Neural Networks; FCN; PSP; DeepLab;

    Abstract : This master’s thesis evaluates automatic data annotation and machine learning predictions of iron ore pellets using tools provided by Amazon Web Services (AWS) in the cloud. The main tool in focus is Amazon SageMaker which is capable of automatic data annotation as well as building, training and deploying machine learning models quickly. READ MORE

  6. 25. Comparing the scalability of MQTT and WebSocket communication protocols using Amazon Web Services

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

    Author : Marcus Werlinder; [2020]
    Keywords : ;

    Abstract : This study compares the scalability of two popular communication protocols within IoT, MQTT and WebSocket. The scalability comparison of the protocols is performed using a publish-subscribe pattern. EMQX is used to run the MQTT message broker, and Socket.IO is used for theWebSocket message broker. READ MORE