Sökning: "molntjänster skolan"
Visar resultat 1 - 5 av 75 uppsatser innehållade orden molntjänster skolan.
1. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. LÄS MER
2. Cloud Computing Pricing and Deployment Efforts : Navigating Cloud Computing Pricing and Deployment Efforts: Exploring the Public-Private Landscape
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The expanding adoption of cloud computing services by businesses has transformed IT infrastructure and data management in the computing space. Cloud computing offers advantages such as availability, scalability, and cost-effectiveness, making it a favored choice for businesses of all sizes. LÄS MER
3. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. LÄS MER
4. DevOps: Assessing the Factors Influencing the Adoption of Infrastructure as Code, and the Selection of Infrastructure as Code Tools : A Case Study with Atlas Copco
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research initiative, which takes the shape of an interpretive qualitative case study, intends to investigate the key considerations for organizations that are to adopt IaC and select an IaC tool. Interviews with operations specialists with varying experience with Infrastructure as Code were conducted for data collection, which was then followed by thematic data analysis. LÄS MER
5. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. LÄS MER