Del i serien Synthesis Lectures on Data Management

Data-Intensive Workflow Management

Häftad, Engelska, 2019

AvDaniel C. M. de Oliveira,Ji Liu,Esther Pacitti

859 kr

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As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data.In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments.

Produktinformation

Utgivningsdatum2019-05-13
Mått191 x 235 x 11 mm
Vikt348 g
FormatHäftad
SpråkEngelska
SerieSynthesis Lectures on Data Management
Antal sidor161
FörlagSpringer International Publishing AG
ISBN9783031007446
OriginaltitelData-Intensive Workflow Management

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Daniel C. M. de Oliveira obtained his Ph.D. in Systems and Computation Engineering at COPPE/Federal University of Rio de Janeiro, Brazil, in 2012. His current research interests include scientific workflows, provenance, cloud computing, data scalable and intensive computing, high performance computing, and distributed and parallel databases. He serves or served on the program committee of major international and national conferences (VLDB17, IPAW16 and 18, SBBD 15-18, etc.) and is a member of IEEE, ACM, and the Brazilian Computer Society. In 2016, he received the Young Scientist scholarship from the State Agency for Research Financing of Rio de Janeiro, FAPERJ, and the Level 2 research productivity grant from CNPq. He supervised 5 doctoral theses and 13 master's dissertations and coordinated projects funded by CNPq and FAPERJ. He has 2,077 citations in Google Scholar, an h-index of 22 and 96 articles listed in DBLP.Ji Liu is at Microsoft Research Inria Joint Centre and Zenith team. The latter is part of INRIA Sophia-Antipolis Mediterranee and LIRMM at Montpellier. His research interests include scientific workflow, big data, Cloud computing, and multisite management. He graduated from the Xidian University in 2011. Then, he obtained his master's degree from Telecom Sud Paris in 2013 and Ph.D. in 2016 from University of Montpellier.Esther Pacitti is a professor of computer science at University of Montpellier. She is a senior researcher and co-head of the Zenith team at LIRMM, pursuing research in distributed data management. Previously, she was an assistant professor at University of Nantes (2002-2009) and a member of Atlas INRIA team. She obtained her ""Habilitation a Diriger les Recherches"" (HDR) degree in 2008 on the topic of data replication on different contexts (data warehouses, clusters and peer-to-peer systems). Since 2004 she has served or is serving as program committee member of major international conferences (VLDB, SIGMOD, CIKM, etc.) and has edited and co-authored several books. She has also published a significant amount of technical papers and journal papers in well-known international conferences and journals.