Search for dissertations about: "autoscaling"

Found 3 swedish dissertations containing the word autoscaling.

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

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

    Abstract : 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. READ MORE

  2. 2. Learning to Control the Cloud

    Author : Albin Heimerson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Reinforcement Learning; Learning-Based Control; Microservices; Datacenter; Autoscaling; Load Balancing; Neural Networks;

    Abstract : With the growth of the cloud industry in recent years, the energy consumption of the underlying infrastructure is a major concern.The need for energy efficient resource management and control in the cloud becomes increasingly important as one part of the solution, where the other is to reduce the energy consumption of the hardware itself. READ MORE

  3. 3. Control Strategies for Improving Cloud Service Robustness

    Author : Jonas Dürango; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : This thesis addresses challenges in increasing the robustness of cloud-deployed applications and services to unexpected events and dynamic workloads. Without precautions, hardware failures and unpredictable large traffic variations can quickly degrade the performance of an application due to mismatch between provisioned resources and capacity needs. READ MORE