Robust Distributed Data Aggregation

Paulo Jesus

ISBN 10: 3659940828 / ISBN 13: 9783659940828

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Distributed aggregation algorithms are an important building block of modern large scale systems, as it allows the determination of meaningful system-wide properties which are required to direct the execution of distributed applications. In the last decade, several algorithms have been proposed to address the distributed computation of aggregation functions, exhibiting different properties in terms of accuracy, speed and communication tradeoffs. However, existing approaches exhibit many issues when challenged in faulty and dynamic environments, lacking in terms of fault-tolerance and support to churn. This book studies the robust distributed aggregation problem. In particular, a definition of the aggregation problem is proposed, existing distributed aggregation algorithm are surveyed and classified into a comprehensive taxonomy, and a novel approach named Flow Updating which is fault-tolerant and able to operate on dynamics networks is detailed. This work is expected to constitute a relevant contribution to the area of distributed computing, in particular for the robust distributed computation of aggregation functions in dynamic networks.

Seller Inventory # 9783659940828

Bibliographic Details

• Title: Robust Distributed Data Aggregation
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659940828
• ISBN 13: 9783659940828
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 340 grams

About this title

Synopsis

Distributed aggregation algorithms are an important building block of modern large scale systems, as it allows the determination of meaningful system-wide properties which are required to direct the execution of distributed applications. In the last decade, several algorithms have been proposed to address the distributed computation of aggregation functions, exhibiting different properties in terms of accuracy, speed and communication tradeoffs. However, existing approaches exhibit many issues when challenged in faulty and dynamic environments, lacking in terms of fault-tolerance and support to churn. This book studies the robust distributed aggregation problem. In particular, a definition of the aggregation problem is proposed, existing distributed aggregation algorithm are surveyed and classified into a comprehensive taxonomy, and a novel approach named Flow Updating which is fault-tolerant and able to operate on dynamics networks is detailed. This work is expected to constitute a relevant contribution to the area of distributed computing, in particular for the robust distributed computation of aggregation functions in dynamic networks.

About the Author

Paulo Jesus obtained his PhD degree in the area of Distributed Systems in 2012, from the MAP-i doctoral program in computer science by the Universities of Minho, Aveiro and Porto (Portugal). He also has a MSc degree in mobile systems (2007). His research interests include distributed algorithms, fault tolerance, and mobile systems.