Advertisement

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

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Reza Akbarinia
  • Esther Pacitti

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

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 10430)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Emmanuelle Anceaume, Yann Busnel
    Pages 1-39
  3. Bastien Confais, Adrien Lebre, Benoît Parrein
    Pages 40-79
  4. Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
    Pages 80-112
  5. Georgia Kougka, Anastasios Gounaris
    Pages 113-145
  6. Petra Budikova, Michal Batko, Pavel Zezula
    Pages 146-184
  7. Back Matter
    Pages 185-185

About this book

Introduction

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.

Keywords

Internet of Things data stream model scientific workflow scheduling multi-site cloud cost optimization of data flows fusion strategies

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  • Reza Akbarinia
    • 4
  • Esther Pacitti
    • 5
  1. 1.IRIT, Paul Sabatier UniversityToulouseFrance
  2. 2.FAW, University of LinzLinzAustria
  3. 3.FAW, University of LinzLinzAustria
  4. 4.Inria and LIRMM, University of MontpellierMontpellierFrance
  5. 5.Inria and LIRMM, University of MontpellierMontpellierFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-55696-2
  • Copyright Information Springer-Verlag GmbH Germany 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-55695-5
  • Online ISBN 978-3-662-55696-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Engineering