Search for dissertations about: "Scheduling and resource allocation"

Showing result 1 - 5 of 55 swedish dissertations containing the words Scheduling and resource allocation.

2. 1. Towards Increased Use of Discrete-Event Simulation for Hospital Resource Planning

   Author : Krisjanis Steins; Jan Lundgren; Fredrik Persson; Sten Walther; Sally Brailsford; Linköpings universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Health care systems in many countries are experiencing a growing demand while their resources remain limited. The discrepancy between demand and capacity creates many problems – long waiting times for treatment, overcrowding in hospital wards, high workload, etc. READ MORE

4. 2. Resource Allocation under Uncertainty : Applications in Mobile Communications

   Author : Mathias Johansson; Anders Ahlén; Mikael Sternad; Vikram Krishnamurthy; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; resource allocation; uncertainty; probability theory as logic; scheduling; multiuser diversity; Jaynes; maximum entropy; Bayesian probability theory; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

   Abstract : This thesis is concerned with scheduling the use of resources, or allocating resources, so as to meet future demands for the entities produced by the resources. We consider applications in mobile communications such as scheduling users' transmissions so that the amount of transmitted information is maximized, and scenarios in the manufacturing industry where the task is to distribute work among production units so as to minimize the number of missed orders. READ MORE

5. 3. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling

   Author : Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data Streaming; Scheduling; Provenance; Stream Processing;

   Abstract : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). READ MORE

6. 4. Revenue Maximization in Resource Allocation : Applications in Wireless Communication Networks

   Author : Nilo Casimiro Ericsson; Anders Ahlén; Mikael Sternad; Jens Zander; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; wireless; resource; scheduling; revenue; admission control; service level control; service level agreement; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

   Abstract : Revenue maximization for network operators is considered as a criterion for resource allocation in wireless cellular networks. A business model encompassing service level agreements between network operators and service providers is presented. READ MORE

7. 5. Dynamic Cloud Resource Management : Scheduling, Migration and Server Disaggregation

   Author : Petter Svärd; Erik Elmroth; Odej Kao; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Cloud computing; virtualization; distributed infrastructure; live migration; scheduling;

   Abstract : A key aspect of cloud computing is the promise of infinite, scalable resources, and that cloud services should scale up and down on demand. This thesis investigates methods for dynamic resource allocation and management of services in cloud datacenters, introducing new approaches as well as improvements to established technologies. READ MORE