Essays about: "resource Clouds"

Showing result 1 - 5 of 24 essays containing the words resource Clouds.

  1. 1. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Weilin Zhang; [2023]
    Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

    Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

  3. 2. Skattning av HGV och stamvolym med data från stereomatchade drönarbilder genom befintliga modeller från Skogliga grunddata

    University essay from SLU/Dept. of Forest Resource Management

    Author : Erik Forslöw; [2023]
    Keywords : drönare; stereofotogrammetri; skogliga grunddata; skogsbruksplanläggning;

    Abstract : Inom den svenska skogsbruksplanläggningen sker idag datainsamlingen traditionellt med subjektivt fördelade relaskopsytor. Den subjektiva mätningen varierar mellan och inom planläggare och har generellt ett relativt medelfel (rRMSE) på 9 % för grundytevägd medelhöjd (HGV) och 15–20 % for volym/ha. READ MORE

  4. 3. A Comparative Evaluation of Failover Mechanisms for Mission-critical Financial Applications in Public Clouds

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Albert Gustavsson; [2023]
    Keywords : Failover; Cloud computing; Cloud-native; Redundancy;

    Abstract : Computer systems can fail for a vast range of reasons, and handling failures is crucial to any critical computer system. Many modern computer systems are migrating to public clouds, which provides more flexible resource consumption and in many cases reduced costs, while the migration can also require system changes due to limitations in the provided cloud environment. READ MORE

  5. 4. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Author : Thomas Wang; [2021]
    Keywords : Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Abstract : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. READ MORE

  6. 5. Techno-Economic Study on The Alternative Power and Cooling Systems Design for Cost & Energy-Efficient Edge Cloud Data Center(s)

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Harry Sutrisno; [2021]
    Keywords : ;

    Abstract : The 5G technology has enabled performance-sensitive applications with low latency and high bandwidth requirements, which has put more low latency requirements on computing services. To answer this need, a small-scale data center called edge cloud is predicted to grow fast in the future. READ MORE