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

✍ Scribed by Akbarinia, Reza; Hameurlain, Abdelkader; Küng, Josef; Pacitti, Esther; Wagner, Roland

• Publisher: Springer Berlin Heidelberg : Imprint: Springer
• Year: 2017
• Tongue: English
• Leaves: 194
• Series: Lecture Notes in Computer Science 10430
• Category: Library

✦ Synopsis

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. Read more...

Abstract: 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

✦ Table of Contents

Front Matter ....Pages I-IX
Lightweight Metric Computation for Distributed Massive Data Streams (Emmanuelle Anceaume, Yann Busnel)....Pages 1-39
Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure (Bastien Confais, Adrien Lebre, Benoît Parrein)....Pages 40-79
Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud (Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso)....Pages 80-112
Cost Optimization of Data Flows Based on Task Re-ordering (Georgia Kougka, Anastasios Gounaris)....Pages 113-145
Fusion Strategies for Large-Scale Multi-modal Image Retrieval (Petra Budikova, Michal Batko, Pavel Zezula)....Pages 146-184
Back Matter ....Pages 185-185

✦ Subjects

Computer science;Database management;Information storage and retrieval;Artificial intelligence;Computer Science;Database Management;Artificial Intelligence (incl. Robotics);Information Storage and Retrieval;Information Systems Applications (incl. Internet)