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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII

  • Book
  • © 2017

Overview

Editors:
  1. Abdelkader Hameurlain

    1. IRIT, Paul Sabatier University, Toulouse, France

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  2. Josef Küng

    1. FAW, University of Linz, Linz, Austria

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  3. Roland Wagner

    1. FAW, University of Linz, Linz, Austria

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  4. Reza Akbarinia

    1. Inria and LIRMM, University of Montpellier, Montpellier, France

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  5. Esther Pacitti

    1. Inria and LIRMM, University of Montpellier, Montpellier, France

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  • Addresses the field of data and knowledge management systems
  • Includes in-depth articles on distributed massive data streams and storage systems
  • Contains papers focusing on scientific workflow scheduling, cost optimization of data flows, and fusion strategies
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10430)

Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-IX
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  2. Lightweight Metric Computation for Distributed Massive Data Streams

    • Emmanuelle Anceaume, Yann Busnel
    Pages 1-39

  3. Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure

    • Bastien Confais, Adrien Lebre, Benoît Parrein
    Pages 40-79

  4. Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud

    • Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
    Pages 80-112

  5. Cost Optimization of Data Flows Based on Task Re-ordering

    • Georgia Kougka, Anastasios Gounaris
    Pages 113-145

  6. Fusion Strategies for Large-Scale Multi-modal Image Retrieval

    • Petra Budikova, Michal Batko, Pavel Zezula
    Pages 146-184

  7. Back Matter

    Pages 185-185
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Keywords

About this book

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.

This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • FAW, University of Linz, Linz, Austria

    Josef Küng, Roland Wagner

  • Inria and LIRMM, University of Montpellier, Montpellier, France

    Reza Akbarinia, Esther Pacitti

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