Workshop
Workshop on Towards Convergence of Big Data, SQL, NoSQL, NewSQL, Data streaming/CEP, OLTP and OLAP -
DataDiversityConvergence
2016
23 - 25 April, 2016 - Rome, Italy
In conjunction with the 6th International Conference on Cloud Computing and Services Science - CLOSER 2016
* CANCELLED *
DataDiversityConvergence is a shared event between CLOSER and
IoTBD.
CO-CHAIRS
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Ricardo Jimenez-Peris
LeanXcale
Spain
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Brief Bio
Ricardo Jiménez Peris is CEO and co-founder of LeanXcale a startup delivering an ultra-scalable database and real-time big data platform. He is co-author of the book Scalable Database Replication and has over 100 publications with more than 2350 citations. He has published on top conferences such as SIGMOD, WWW, ICDCS, SRDS, DSN journals such as TODS, TOCS, VLDBJ, TPDS, JPDC, etc. He has served as PC Chair for ICDCS 2014 and SRDS 2011 and has also served in the Program Committee VLDB, ICDE, ICDCS, DSN, SRDS, etc. He is technical coordinator of the FP7 CoherentPaaS and LeanBigData projects and has been technical coordinator of the FP7 CumuloNimbo project (2010-2013) on ultra-scalable SQL and the FP7 Stream project (2008-2010). He has been editor of the research agenda of the FP7 NESSI-Grid SSA. He is member of the cloud computing expert group set up by the European Commission.
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Marta Patiño-Martinez
Universidad Politécnica de Madrid
Spain
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Brief Bio
Marta Patiño-Martínez received her Ph.D. in Computer Science from Universidad Politécnica de Madrid in 1999. In 2000 she co-founded the Distributed Systems Lab at the same University. She is currently Director of the Distributed Systems Lab (LSD) at UPM. Her main research interests are distributed and scalable systems, middleware and cloud platforms. She has published more than 100 research papers with over 2,200 citations (Google Scholar). She is the Project Coordinator the FP7 projects LeanBigData and CoherentPaaS and was Project Coordinator of the FP7 CumuloNimbo project. She is the Project Coordinator of the national research project CloudStorm (2010-2013). She is a Researcher in the Stream, 4Caast, MASSIF and IOLanes FP7 projects. She is co-founder of the joint research institute COM between Santander bank and UPM. She is co-founder of LeanXcale the start-up created to commercialize the results of the projects that UPM-LSD has coordinated in the last years.
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Patrick Valduriez
INRIA - Sophia Antipolis Méditeranné
France
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Brief Bio
Patrick Valduriez is a senior researcher at INRIA, heading the Zenith team in Montpellier. He has also been a professor of Computer Science at University Paris 6 (1999-2002) and a researcher at Microelectronics and Computer Technology Corp. in Austin, Texas (1985-1989). He received his Ph. D. degree and Doctorat d'Etat in CS from University Paris 6 in 1981 and 1985, respectively. His research focuses on data management in large-scale distributed and parallel systems (P2P, cluster, grid, cloud), in particular, scientific data management. He has authored and co-authored over 250 technical papers and several textbooks, among which “Principles of Distributed Database Systems”. He has been a member of the SIGMOD board, a trustee of the VLDB endowment and an associate editor of several journals, including ACM TODS, the VLDB Journal, Distributed and Parallel Databases, and Internet and Databases. He has served as PC chair of major conferences such as PDIS93, SIGMOD97, VLDB98 (industrial chair), VLDB99 (European chair). He was the general chair of SIGMOD04, EDBT08 and VLDB09. He was the recipient of the 1993 IBM scientific prize in CS in France. He obtained the best paper award at VLDB00. He was awarded the 2014 Inria - Académie des Sciences - Dassault Systems Innovation Prize. He is a Fellow of the ACM.
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Theodora Varvarigou
National Technical University of Athens
Greece
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Brief Bio
Prof. Theodora A. Varvarigou received the B. Tech degree from the National Technical University of Athens, Athens, Greece in 1988, the MS degrees in Electrical Engineering (1989) and in Computer Science (1991) from Stanford University, in 1989 and the Ph.D. degree from Stanford University as well in 1991. She worked at AT&T Bell Labs, Holmdel, New Jersey between 1991 and 1995. Between 1995 and 1997 she worked as an Assistant Professor at the Technical University of Crete, Chania, Greece. Since 1997 she was elected as an Assistant Professor while since 2007 she is a Professor at the National Technical University of Athens, and Director of the Postgraduate Course ‘Engineering Economics Systems’. Prof. Varvarigou has great experience in the area of semantic web technologies, scheduling over distributed platforms, embedded systems, cloud computing and Big Data. In this area, she has published more than 150 papers in leading journals and conferences. She has participated and coordinated several EU funded projects, related to subject of the IRMOS project such as POLYMNIA, Akogrimo, NextGRID, BEinGRID, Memphis, MKBEEM, MARIDES, CHALLENGERS, FIDIS, LeanBigData, CoherentPaaS, 4Caast and other.
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SCOPE
The advent of many new paradigms to manage data such as NoSQL, NewSQL, CEP and its co-existence with former paradigms such as OLTP and OLAP SQL databases has resulted in a new technological world that has been termed Polyglot Persistence by Martin Fowler in his bestseller “NoSQL distilled”. There are many open research challenges in this world in which many different data stores coexist and even ecosystems and architectures based on multiple data stores, such as the lambda architecture.
The new technologies have brought new data models and query languages more appropriate for certain kinds of problems such as key-value data stores, document data stores, and graph databases. In this context programmers must deal with this data diversity in order to get insights and knowledge from the different data stores used in a company. Moreover, consistency across data stores cannot be guaranteed.
Moreover, with a paramount need for the efficient manipulation and comprehensive analysis of big data has emerged. However, the interpretation of big data sets into interactive meaningful visualizations that meet the aforementioned needs is still a major research challenge in the HCI domain.
This workshop aims to serve as a meeting point between academia and industry interested in research technologies related to polyglot persistence and big data visualization, aiming to engage experts from the different domains that contribute to the topics of polyglot persistence and big data visualization.
This workshop is organized by two EU FP7 projects: CoherentPaaS and LeanBigData.
CoherentPaaS targets the integration of Polyglot Persistence by providing full ACID transactions across NoSQL and SQL and also provides a query language to query across different data stores.
LeanBigData targets at blending the OLTP and OLAP world delivering high levels of scalability for pure and hybrid workloads.
IMPORTANT DATES
Paper Submission:
February 10, 2016 (expired)
Authors Notification:
February 29, 2016 (expired)
Camera Ready and Registration:
March 7, 2016 (expired)
WORKSHOP PROGRAM COMMITTEE
Luigi Coppolino,
Universita Parthenope, Italy
Boyan Kolev,
INRIA, France
Pavlos Kranas,
National Technical University of Athens, Greece
Victor Muntes,
CA, Spain
José Pereira,
INESC TEC & Universidade do Minho, Portugal
Sotiris Stamokostas,
, Greece
Valerio Vianello,
Universidad Politécnica de Madrid, Spain
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).