Vision Cloud: A Cloud Storage Solution Supporting Modern Media Production

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 122, No. 7, pp. 30–37
Abstract: This paper describes VISION Cloud, a European Commission Framework Project (EC FP VII) whose aim is to build innovative storage services for a number of key business cases. Among these, the media business case poses a number of challenges connected to the intrinsic characteristics of media assets such as huge dimension, rich metadata and time-critical workflows. As a result, there is a growing need for dedicated “media clouds.” The paper describes the requirements coming from this area, and illustrates the innovations and architectural approaches in the design of the VISION Cloud system. The VISION Cloud project is now in its full development stage, and it is expected that several of the developed technologies will prove to be crucial elements for future media storage systems. More information about the project timeline and deliverables can be found at www.visioncloud.eu.
Publication Date: 2013-10-01
DOI: 10.5594/j18341
ISSN: Print: 1545-0279
Link: https://doi.org/10.5594/j18341
Author(s): S. V. Gogouvitis
bio
Spyridon V. Gogouvitis was born in Athens, Greece, in 1982. He received a Dipl. -Ing. from the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) in 2006 and a Ph.D. from the Electrical and Computer Engineering Department of the National Technical University of Athens in 2013. He currently works as a Researcher in the Telecommunication Laboratory of the Institute of Communication and Computer Systems (ICCS). In the past, Gogouvitis was actively involved in several European Union (EU) and National funded projects such as the Interactive Realtime Multimedia Applications on Service Oriented Infrastructures (IRMOS) project. He has also worked as a developer for the Hellenic Army Information Systems Support Centre and as a consultant for the General Secretariat for Information Systems of the Hellenic Ministry of Economy and Finance. Currently, he is NTUA's team leader in the VISION Cloud EU Project. His research interests include grid and cloud computing, workflow management, as well as mobile and ubiquitous computing.
M. C. Jaeger
bio
Michael C. Jaeger works at Siemens Corporate Technology as a research scientist, project manager, trainer, and consultant for distributed systems, storage technology and server applications with an emphasis on open source software. He is a certified software architect. He regularly provides training on design patterns for building software architectures. Jaeger has more than ten years experience in professional research and development. He also contributed to five EU-funded research efforts before the VISION Cloud project. Jaeger earned a university diploma degree in computer engineering and a Dr.-Ing. degree in computer science, both from TU Berlin in Germany.
H. Kolodner
bio
Hillel Kolodner is a senior technical staff member in the Systems Technologies department at the IBM Haifa Research Lab. In the past he has worked on the implementation of Java for multiprocessor servers, especially on automatic memory management (garbage collection). More recently, he has worked on virtualization and management technologies for cloud computing. Currently, he is working on cloud object stores and is the principal investigator (PI) for VISION Cloud, an European Commission FP7 Integrated Project developing advanced technologies for cloud object stores. Kolodner holds a Ph.D. and M.S. degree in computer science from the Massachusetts Institute of Technology, as well as a B.A. in Mathematics and a B.S.E. in computer science from the University of Pennsylvania.
D. Kyriazis
bio
Dimosthenis Kyriazis received a diploma from the school of Electrical and Computer Engineering of the NTUA in 2001 and a MSc degree in “Techno-economics” in 2004. In 2007, he received a Ph.D. in the area of service oriented architectures with a focus on quality aspects and workflow management from the school of Electrical and Computer Engineering Department of NTUA. His expertise lies in service-based, distributed, and heterogeneous systems, software and service engineering. As a senior research engineer of the Institute of Communication and Computer Systems (ICCS) of NTUA, he has participated in several EU and nationally funded projects leading research for addressing issues related to quality of service provisioning, fault tolerance, workflow management, performance modeling in service oriented environments, and application domains such as multimedia, post-production, virtual reality, finance, and e-health.
F. Longo
bio
Francesco Longo received a Ph.D. in advanced technologies for information engineering at the University of Messina (Italy) in 2011. He is now a post doctoral researcher within the VISION Cloud European project. His main research interests include performance and reliability evaluation of distributed systems with focus on the use of non-Markovian stochastic Petri nets.
M. Lorenz
bio
Mirko Lorenz is a journalist, information architect and trainer. For the past seven years he has been a member of the innovation team at Deutsche Welle. His key role is being a messenger between newsrooms and technology providers, contributing through research, conceptual work, and project management for development. Since 2010, Lorenz has been focused on “data-driven journalism,” as a conference organizer, book contributor, and trainer for journalists. One recent successful project in this area was his project management for Datawrapper, a widely used, open source tool to create basic, correct charts in four steps. Lorenz is a contributor to the “Data Journalism Handbook,” published in 2012 by O'Reilly.
A. Messina
bio
Alberto Messina began his collaboration as a research engineer with RAI in 1996, when he completed his M.S. thesis about objective quality evaluation of MPEG-2 video coding. Messina's current interests range from file formats and metadata standards to content analysis and information extraction algorithms. His current area of expertise is Automated Information Extraction & Management/Information and Knowledge Engineering, an area in which he is author of more than 70 technical and scientific publications. Messina has been an active member of several EBU Technical projects and now leads the Strategic Programme on Media Information Management. He worked in several EC projects and currently he is active in TOSCA-MP and VISION Cloud. He has served on the Programme Committee of several international conferences and was general co-chair of the International Workshop on Automated Information Extraction in Media Production (AIEMPro) workshop from 2008 and 2011. Messina actively participates EBU and MPEG, where he contributed to MPEG-7 Audiovisual Description Profile.
M. Montagnuolo
bio
Maurizio Montagnuolo received a Laurea degree in telecommunications engineering from the Polytechnic of Turin in 2004, after developing his thesis at the RAI Research Centre. In 2008, he received a Ph.D. in business and management from the University of Turin, in collaboration with RAI. His initial contributions to computer science were in the area of artificial intelligence, specifically in the semantic classification of audiovisual content. He participated in several national and EU funded projects in automatic content analysis, indexing, and search. His current research interests are mostly in the area of web data mining and multimedia data mining. Montagnuolo is also co-author of several scientific works published in journals or presented at international conferences in these subject areas.
E. Salant
bio
Eliot Salant has held a number of managerial and technical leadership positions over the past 20 years at the IBM Haifa Labs. Additionally, he has served as project coordinator for several large EU-sponsored cloud-computing projects, including RESERVOIR and VISION Cloud. Salant holds a B.Eng. degree in mechanical engineering from McGill University, an M.S. degree in biomedical engineering from the Technion—Israel Institute of Technology, and an M.S. degree in computer science from Union College.
F. Tusa
bio
Francesco Tusa received a Master's degree in open source and computer security, and started Ph.D. studies in advanced technologies for information engineering at the University of Messina. In April 2011, he defended his Ph.D. thesis “Security in distributed computing systems: from Grid to Cloud.” He has been actively working as IT security and distributed systems analyst in cloud computing, virtualization, and storage for the European Union Projects “RESERVOIR” and “VISION Cloud.” Tusa is also involved in the design and implementation of the CLEVER cloud middleware. His scientific activity has been focused on studying distributed systems, grid and cloud computing. His research interests are in the area of security, virtualization, migration, and federation of distributed computing systems. Tusa is a member of the MDSLab Computer Engineering group at the University of Messina.
Copyright: © 2013 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

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S. V. Gogouvitis, M. C. Jaeger, H. Kolodner, D. Kyriazis, F. Longo, M. Lorenz, A. Messina, M. Montagnuolo, E. Salant, and F. Tusa; Vision Cloud: A Cloud Storage Solution Supporting Modern Media Production, SMPTE Motion Imaging Journal ( Volume: 122, Issue: 7, 2013); SMPTE, 2013. Available at https://doi.org/10.5594/j18341

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S. V. Gogouvitis, M. C. Jaeger, H. Kolodner, D. Kyriazis, F. Longo, M. Lorenz, A. Messina, M. Montagnuolo, E. Salant, and F. Tusa; Vision Cloud: A Cloud Storage Solution Supporting Modern Media Production, SMPTE Motion Imaging Journal ( Volume: 122, Issue: 7, 2013); SMPTE, 2013. Available at https://doi.org/10.5594/j18341

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<span class="citation">S. V. Gogouvitis, M. C. Jaeger, H. Kolodner, D. Kyriazis, F. Longo, M. Lorenz, A. Messina, M. Montagnuolo, E. Salant, and F. Tusa; <cite>Vision Cloud: A Cloud Storage Solution Supporting Modern Media Production</cite>, SMPTE Motion Imaging Journal ( Volume: 122, Issue: 7, 2013); SMPTE, 2013. Available at <a href="https://doi.org/10.5594/j18341" target="_blank" rel="noopener">https://doi.org/10.5594/j18341</a></span>

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S. V. Gogouvitis, M. C. Jaeger, H. Kolodner, D. Kyriazis, F. Longo, M. Lorenz, A. Messina, M. Montagnuolo, E. Salant, and F. Tusa; <cite id="bib-10-5594-j18341">Vision Cloud: A Cloud Storage Solution Supporting Modern Media Production</cite>, SMPTE Motion Imaging Journal ( Volume: 122, Issue: 7, 2013); SMPTE, 2013
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