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Editorial

Clouds for scalable Big Data processing

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Pages 629-631 | Received 04 Feb 2019, Accepted 04 Feb 2019, Published online: 15 Feb 2019
 

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Paolo Trunfio

Paolo Trunfio is an associate professor of computer engineering at DIMES Department, University of Calabria, Italy. He is also co-founder and managing director of DtoK Lab S.r.l., an Italian company that provides cloud solutions for Big Data analysis. He was visiting researcher at the Swedish Institute of Computer Science in Stockholm (2007) and a research collaborator at the Italian National Research Council (2001–2002). His current research focuses on cloud computing, distributed data mining, social data analysis and peer-to-peer networks. He co-authored two books: Service-Oriented Distributed Knowledge Discovery (CRC, 2012) and Data Analysis in the Cloud (Elsevier, 2015). He is currently serving in the editorial boards of the IEEE Transactions on Cloud Computing and Future Generation Computer Systems journals. He is a Senior Member and a Distinguished Speaker of the ACM.

Vladimir Vlassov

Vladimir Vlassov is a professor of computer systems at the Department of Computer Science, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology in Stockholm, Sweden. Before joining KTH in 1993, during the period 1985–1993, he was an assistant and associate professor at S:t Petersburg's Electrotechnical University (LETI), Russia. He was a visiting scientist at the Massachusetts Institute of Technology (1998), and the University of Massachusetts Amherst (2004). He has participated in a number of research projects funded by the European Commission, and projects funded by Swedish funding agencies and NSF USA. He is one of the coordinators of the Erasmus Mundus Joint Doctorate in distributed computing. His current research focus is on autonomic and cloud computing, data-intensive computing and stream processing.

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