Sökning: "Near Data Processing"

Visar resultat 6 - 10 av 102 avhandlingar innehållade orden Near Data Processing.

1. 6. Deterministic, Explainable and Resource-Efficient Stream Processing for Cyber-Physical Systems

   Författare :Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Provenance; Stream Processing; Scheduling; Determinism;

   Sammanfattning : We are undeniably living in the era of big data , where people and machines generate information at an unprecedented rate. While processing such data can provide immense value, it can prove especially challenging because of the data's Volume, Variety and Velocity . LÄS MER

3. 7. Efficient Compilation for Application Specific Instruction set DSP Processors with Multi-bank Memories

   Författare :Joar Sohl; Dake Liu; Krzysztof Kuchcinski; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Modern signal processing systems require more and more processing capacity as times goes on. Previously, large increases in speed and power efficiency have come from process technology improvements. However, lately the gain from process improvements have been greatly reduced. LÄS MER

4. 8. From Orthogonal to Non-orthogonal Multiple Access : Energy- and Spectrum-Efficient Resource Allocation

   Författare :Lei Lei; Di Yuan; Angelakis Angelakis; Erik Bergfeldt; Xiaoli Chu; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The rapid pace of innovations in information and communication technology (ICT) industry over the past decade has greatly improved people’s mobile communication experience. This, in turn, has escalated exponential growth in the number of connected mobile devices and data traffic volume in wireless networks. LÄS MER

5. 9. Securing IoT Using Decentralized Trust Privacy and Identity Management

   Författare :Kazi Masum Sadique; Rahim Rahmani Chianeh; Paul Johannesson; Qinghua Wang; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Internet of Things IoT ; Decentralized Architecture; Distributed Ledger Technology; Edge Computing; Fog Computing; Security; Trust; Privacy; Identity management; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : The Internet of Things (IoT) is a multidisciplinary area where technology meets people, enriching their quality of life with an improved working environment and efficient productivity. As the number of IoT devices increases, many new technology areas are being integrated with the IoT. LÄS MER

7. 10. Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server

   Författare :Ahsan Javed Awan; Eduard Ayguade; Mats Brorsson; Vladimir Vlassov; Lieven Eeckhout; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Workload Characterization; Big Data Analytics; Multicore Performance; Apache Spark; Near Data Processing; NUMA; Hyperthreading; Prefetchers; Coherently attached accelerators; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : The sheer increase in the volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analytics platforms for (i) exploiting data-flow and in-memory computing and (ii) for exhibiting superior scale-out performance on the commodity machines, little effort has been devoted to understanding the performance of in-memory data analytics with Spark on modern scale-up servers. LÄS MER