Sökning: "Cloud Services"

Visar resultat 21 - 25 av 94 avhandlingar innehållade orden Cloud Services.

  1. 21. Architectural Evolution of Intelligent Transport Systems (ITS) using Cloud Computing

    Författare :Robayet Nasim; Andreas Kassler; Anna Brunström; Franz J. Hauck; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ITS; cloud computing; OpenStack; virtualization; asynchronous communication; publish subscribe system; scalability; distributed architecture; QoS; latency.; Computer Science; Datavetenskap;

    Sammanfattning : With the advent of Smart Cities, Intelligent Transport System (ITS) has become an efficient way of offering an accessible, safe, and sustainable transportation system. Utilizing advances in Information and Communication Technology (ICT), ITS can maximize the capacity of existing transportation system without building new infrastructure. LÄS MER

  2. 22. Data-driven Performance Prediction and Resource Allocation for Cloud Services

    Författare :Rerngvit Yanggratoke; Rolf Stadler; Gunnar Karlsson; Filip De Turck; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Cloud services, which provide online entertainment, enterprise resource management, tax filing, etc., are becoming essential for consumers, businesses, and governments. The key functionalities of such services are provided by backend systems in data centers. This thesis focuses on three fundamental problems related to management of backend systems. LÄS MER

  3. 23. Unchaining Microservice Chains : Machine Learning Driven Optimization in Cloud Native Systems

    Författare :Michel Gokan Khan; Javid Taheri; Andreas Kassler; Stefan Schulte; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cloud Native Computing; Service Mesh; Performance Modelling; Performance Optimization; Performance Simulation; Machine Learning; Resource Allocation; Computer Science; Datavetenskap;

    Sammanfattning : As the cloud native landscape flourishes, microservices emerge as a central pillar for contemporary software development, enabling agility, resilience, and scalability in modern computing environments. While these modular services promise opportunities, particularly in the transformative ecosystem of 5G and beyond, they also introduce a myriad of complexities. LÄS MER

  4. 24. Self-Management for Large-Scale Distributed Systems

    Författare :Ahmad Al-Shishtawy; Vlassov Vlassov; Seif Haridi; Per Brand; Leandro Navarro Moldes; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Self-Management; Autonomic Computing; Control Theory; Distributed Systems; Grid Computing; Cloud Computing; Elastic Services; Key-Value Stores; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Sammanfattning : Autonomic computing aims at making computing systems self-managing by using autonomic managers in order to reduce obstacles caused by management complexity. This thesis presents results of research on self-management for large-scale distributed systems. LÄS MER

  5. 25. Workload characterization, controller design and performance evaluation for cloud capacity autoscaling

    Författare :Ahmed Ali-Eldin Hassan; Erik Elmroth; Johan Tordsson; Prashant Shenoy; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cloud computing; autoscaling; workloads; performance modeling; controller design;

    Sammanfattning : This thesis studies cloud capacity auto-scaling, or how to provision and release re-sources to a service running in the cloud based on its actual demand using an auto-matic controller. As the performance of server systems depends on the system design,the system implementation, and the workloads the system is subjected to, we focuson these aspects with respect to designing auto-scaling algorithms. LÄS MER