Essays about: "thesis on cloud scheduler"
Showing result 1 - 5 of 15 essays containing the words thesis on cloud scheduler.
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1. An I/O-aware scheduler for containerized data-intensive HPC tasks in Kubernetes-based heterogeneous clusters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud-native is a new computing paradigm that takes advantage of key characteristics of cloud computing, where applications are packaged as containers. The lifecycle of containerized applications is typically managed by container orchestration tools such as Kubernetes, the most popular container orchestration system that automates the containers’ deployment, maintenance, and scaling. READ MORE
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2. Real-Time Inspired Hybrid Scheduler for 5G New Radio
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : As an increasing position of the world’s communication moves towards the cloud and wireless solutions the requirement for good throughput and low delay increases. One step towards meeting higher requirements is the move from 4G Long Term Evolution (LTE) to 5G New Radio (NR). READ MORE
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3. Utilizing modern technology to promote tourism and reduce physical contact
University essay from KTH/Hälsoinformatik och logistikAbstract : Tourism is an important factor for economic growth. Unfortunately, the on going COVID-19 pandemic has struck hard on the tourism sector due to the lockdowns and travel restrictions. The lockdowns have also led to an increasing isolation among people which in the long term can lead to a decline in people’s psychological wellbeing. READ MORE
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4. Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. READ MORE
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5. Smart Choices of Logistic Flows in Autonomous Transport System
University essay from KTH/Optimeringslära och systemteoriAbstract : PLAS is a cloud-based software used for planning and scheduling fleets of vehicles for material transport. PLAS consists of two components; the Logistic Flow Solver (LFS) and the Material Transport Scheduler (MTS). Based on transportation requests, the LFS generates a set of logistic flows. READ MORE