Essays about: "Molnlösningar"

Showing result 1 - 5 of 12 essays containing the word Molnlösningar.

  1. 1. A comparison of Azure’s Function-as-a-Service and Infrastructure-as-a-Service solutions

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

    Author : Edvin Alvaeus; Ludvig Lindén; [2023]
    Keywords : Serverless; Cloud computing; Load testing; Azure; REST; Serverlös; Datormoln; Belastningstestning; Azure; REST;

    Abstract : Cloud computing is a growing industry. More and more companies are moving away from on-premise infrastructure. Instead, the choice is often to build their systems based on cloud services. This growth in the industry has brought with it new needs and consequently, new solutions. READ MORE

  3. 2. Design of an algorithm for edge-node resource orchestration within an Operator Platform

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

    Author : Simon Olander Ålund; [2022]
    Keywords : Cloud; Edge-cloud; Operator platform; Orchestration; Design science research; Performance; Kubernetes; Molnlösningar; Kantmoln; Operatörsplatform; Orkestrering; Design science research; Prestanda; Kubernetes;

    Abstract : The future of networking lies within the development of low-latency and reliable networks. This development poses increased demand on the presence of edge-nodes. For a network operator to provide a low-latency edge-node resource, the physical distance from antenna-to-user needs to be small. READ MORE

  4. 3. Hardware Support for FPGA  Resource Elasticity

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

    Author : Fidan Aliyeva; [2022]
    Keywords : FPGA; Elasticity; Partial reconfiguration; Crossbar; WISHBONE; Multicast; FPGA; Elasticitet; Partiell omkonfigurering; Crossbar; WISHBONE; Multicast;

    Abstract : FPGAs are commonly used in cloud computing due to their ability  to be  programmed  as a processor that serves a specific purpose; hence, achieving high performance at low power. On the other hand, FPGAs have a lot of resources available, which are wasted if they host a single application or serve a single user’s request. READ MORE

  5. 4. A Cloud-based Business Process Automation Platform for Customer Interaction : Research, development, integration, deployment and test of a Business Process Automation platform to manage company customer relations through the cloud.

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

    Author : Nicola Fiorello; [2021]
    Keywords : Business process management; Cloud deployment; Smart customer interaction.; Distribuzione su cloud; Gestione di processi aziendali; Interazione intelligente con i clienti.; Affärsprocesshantering; molndistribution; smart kundinteraktion.;

    Abstract : Customer relationship management is a crucial point of many businesses, and is often characterized by repetitive and monotonous actions carried out by operators. The evolution of technology, in this regard, is leading to a highly multi-channel scenario, where the entire history of interactions between the company and the customer is fragmented across different services and communication tools. READ MORE

  6. 5. Scalable Architecture for Automating Machine Learning Model Monitoring

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

    Author : Javier de la Rúa Martínez; [2020]
    Keywords : Model Monitoring; Streaming; Scalability; Cloud-native; Data Drift; Outliers; Machine Learning; Modellövervakning; Streaming-metod; Skalbarhet; Molnbaserad; Dataskift; Outlierupptäckt; Maskininlärning;

    Abstract : Last years, due to the advent of more sophisticated tools for exploratory data analysis, data management, Machine Learning (ML) model training and model serving into production, the concept of MLOps has gained more popularity. As an effort to bring DevOps processes to the ML lifecycle, MLOps aims at more automation in the execution of diverse and repetitive tasks along the cycle and at smoother interoperability between teams and tools involved. READ MORE