Sökning: "Essential Data Set"

Visar resultat 11 - 15 av 260 avhandlingar innehållade orden Essential Data Set.

1. 11. New Forms of Collaboration in Emergency Response Systems : A framework for participatory design of information systems

   Författare :Kayvan Yousefi Mojir; Sofie P Pilemalm; Stefan Holgersson; Björn JE Johansson; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : An emergency response systems (ERS) is usually responsible for delivering essential services to save lives and minimise environmental damage in case of small, frequent or large-scale emergencies. The ongoing global financial crisis, lack of professional resources, public sector cuts and rising public expectations are some of the challenges ERSs currently are facing. LÄS MER

3. 12. Enterprise Systems Modifiability Analysis : An Enterprise Architecture Modeling Approach for Decision Making

   Författare :Robert Lagerström; Pontus Johnson; Marc Lankhorst; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Enterprise Architecture; Software System Modifiability; Decision Making; Metamodeling; Enterprise Architecture Analysis; Software Change Cost Estimation; Other information technology; Övrig informationsteknik;

   Sammanfattning : Contemporary enterprises depend to great extent on software systems. During the past decades the number of systems has been constantly increasing and these systems have become more integrated with one another. This has lead to a growing complexity in managing software systems and their environment. LÄS MER

4. 13. Systematic Data-Driven Continual Self-Learning

   Författare :Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

   Sammanfattning : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. LÄS MER

5. 14. Large-scale I/O Models for Traditional and Emerging HPC Workloads on Next-Generation HPC Storage Systems

   Författare :Wei Der Chien; Stefano Markidis; Erwin Laure; Artur Podobas; Philip Carns; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HPC; I O; Parallel I O; MPI; object storage; TensorFlow; Data-Centric; Artificial Intelligence; Machine Learning; Computer Science; Datalogi;

   Sammanfattning : The ability to create value from large-scale data is now an essential part of research and driving technological development everywhere from everyday technology to life-saving medical applications. In almost all scientific fields that require handling large-scale data, such as weather forecast, physics simulation, and computational biology, supercomputers (HPC systems) have emerged as an essential tool for implementing and solving problems. LÄS MER

7. 15. Data-driven Performance Prediction and Resource Allocation for Cloud Services

   Författare :Rerngvit Yanggratoke; Rolf Stadler; Gunnar Karlsson; Filip De Turck; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Cloud services, which provide online entertainment, enterprise resource management, tax filing, etc., are becoming essential for consumers, businesses, and governments. The key functionalities of such services are provided by backend systems in data centers. This thesis focuses on three fundamental problems related to management of backend systems. LÄS MER