Sökning: "Real-Time Data Processing"

Visar resultat 6 - 10 av 185 avhandlingar innehållade orden Real-Time Data Processing.

1. 6. Mining Big and Fast Data: Algorithms and Optimizations for Real-Time Data Processing

   Författare :Muhammad Anis Uddin Nasir; Sarunas Girdzijauskas; Marta Patino-Martinez; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream Processing; Load Balancing; Fully Dynamic Graphs; Real-Time Data Processing; Top-k Densest Subgraph; Frequent Subgraph Mining; Informations- och kommunikationsteknik; Information and Communication Technology; Computer Science; Datalogi;

   Sammanfattning : In the last decade, real-time data processing has attracted much attention from both academic community and industry, as the meaning of big data has evolved to incorporate as well the speed of data. The massive and rapid production of data comes via numerous services, i.e., Web, social networks, Internet of Things (IoT) and mobile devices. LÄS MER

3. 7. High performance fiber-optic interconnection networks for real-time computing systems

   Författare :Magnus Jonsson; Bertil Svensson; Timothy M. Pinkston; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Fiber-optic communication; real-time communication; Computer engineering; Datorteknik;

   Sammanfattning : Parallel and distributed computing systems become more and more powerful and hence place increasingly higher demands on the networks that interconnect their processors or processing nodes. Many of the applications running on such systems, especially embedded systems applications, have real-time requirements and, with increasing application demands, high-performance networks are the hearts of these systems. LÄS MER

4. 8. Three Aspects of Real-Time Multiprocessor Scheduling: Timeliness, Fault Tolerance, Mixed Criticality

   Författare :Risat Pathan; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mixed-Criticality Systems; Fault-Tolerant Scheduling; Fixed Priority; Real-Time Systems; Global Multiprocessor Scheduling; Time Redundancy; Sporadic Tasks;

   Sammanfattning : The design of real-time systems faces two important challenges: incorporating more functions/services on existing hardware to make the system more attractive to the market, and deploying existing software on multiprocessors (e.g., multicore) to utilize moreprocessing power. LÄS MER

5. 9. Improving On-Board Data Processing using CPU-GPU Heterogeneous Architectures for Real-Time Systems

   Författare :Nandinbaatar Tsog; Mikael Nolin; Fredrik Bruhn; Moris Behnam; Saad Mubeen; Juha Plosila; Mälardalens högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; on-board data processing; CPU-GPU; heterogeneous architectures; real-time systems; Computer Science; datavetenskap;

   Sammanfattning : This thesis investigates the efficacy of heterogeneous computing architectures in real-time systems.The goals of the thesis are twofold. First, to investigate various characteristics of the Heterogeneous System Architectures (HSA) compliant reference platforms focusing on computing performance and power consumption. LÄS MER

7. 10. Improving Soft Real-time Performance of Fog Computing

   Författare :Vaclav Struhar; Moris Behnam; Seyed Mohammad Hossein Ashjaei; Alessandro Papadopoulos; Silviu Craciunas; Ivona Brandic; Mälardalens högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fog computing; real-time systems; cloud; virtualization; Computer Science; datavetenskap;

   Sammanfattning : Fog computing is a distributed computing paradigm that brings data processing from remote cloud data centers into the vicinity of the edge of the network. The computation is performed closer to the source of the data, and thus it decreases the time unpredictability of cloud computing that stems from (i) the computation in shared multi-tenant remote data centers, and (ii) long distance data transfers between the source of the data and the data centers. LÄS MER