Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Javad Chamanara"'
Autor:
Luca M. Ghiringhelli, Carsten Baldauf, Tristan Bereau, Sandor Brockhauser, Christian Carbogno, Javad Chamanara, Stefano Cozzini, Stefano Curtarolo, Claudia Draxl, Shyam Dwaraknath, Ádám Fekete, James Kermode, Christoph T. Koch, Markus Kühbach, Alvin Noe Ladines, Patrick Lambrix, Maja-Olivia Himmer, Sergey V. Levchenko, Micael Oliveira, Adam Michalchuk, Ronald E. Miller, Berk Onat, Pasquale Pavone, Giovanni Pizzi, Benjamin Regler, Gian-Marco Rignanese, Jörg Schaarschmidt, Markus Scheidgen, Astrid Schneidewind, Tatyana Sheveleva, Chuanxun Su, Denis Usvyat, Omar Valsson, Christof Wöll, Matthias Scheffler
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-18 (2023)
The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. In order to ensure that this need helps rather than hinders scientific work, the implementation of the FAIR-dat
Externí odkaz:
https://doaj.org/article/c5132f969ded4c5aa917101c568fd951
Autor:
Javad Chamanara, Jitendra Gaikwad, Roman Gerlach, Alsayed Algergawy, Andreas Ostrowski, Birgitta König-Ries
Publikováno v:
Biodiversity Data Journal, Vol 9, Iss , Pp 1-32 (2021)
Obtaining fit-to-use data associated with diverse aspects of biodiversity, ecology and environment is challenging since often it is fragmented, sub-optimally managed and available in heterogeneous formats. Recently, with the universal acceptance of t
Externí odkaz:
https://doaj.org/article/0d220aa13c394437ae228922ce0e43ee
Autor:
Zeineb Rejiba, Javad Chamanara
Publikováno v:
ACM Computing Surveys. 55:1-37
Since its release in 2014, Kubernetes has become a popular choice for orchestrating containerized workloads at scale. To determine the most appropriate node to host a given workload, Kubernetes makes use of a scheduler that takes into account a set o
Publikováno v:
2022 IEEE 24th Conference on Business Informatics (CBI).
Publikováno v:
Computer and Information Science 2021—Summer
Computer and Information Science 2021—Summer ISBN: 9783030794736
Studies in Computational Intelligence
Studies in Computational Intelligence-Computer and Information Science 2021—Summer
Computer and Information Science 2021—Summer ISBN: 9783030794736
Studies in Computational Intelligence
Studies in Computational Intelligence-Computer and Information Science 2021—Summer
Semiconductor supply chains are described by significant demand fluctuation that increases as one moves up the supply chain, the so-called bullwhip effect. To counteract, semiconductor manufacturers aim to optimize capacity utilization, to deliver wi
Publikováno v:
Proceedings of the VLDB Endowment. 10:1877-1880
Existing data integration frameworks are poorly suited for the special requirements of scientists. To answer a specific research question, often, excerpts of data from different sources need to be integrated. The relevant parts and the set of underly
Publikováno v:
Datenbank Spektrum 19 (2019), Nr. 2
Datenbank-Spektrum
Datenbank-Spektrum
Digitization of the research (data) lifecycle has created a galaxy of data nodes that are often characterized by sparse interoperability. With the start of the European Open Science Cloud in November 2018 and facing the upcoming call for the creation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eef2aacc0c8446762b9da41dc22f17d5
https://www.repo.uni-hannover.de/handle/123456789/5289
https://www.repo.uni-hannover.de/handle/123456789/5289
Autor:
Birgitta König-Ries, Javad Chamanara
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319085890
DILS
DILS
Scientific data is stored in a wide variety of different formats. While much recent research and development have focused on specialized languages and tools to fulfill the requirements of specific domains or data structures, the need for more general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc7c07d74ccff4b5135444c5c2ad92b
https://doi.org/10.1007/978-3-319-08590-6_14
https://doi.org/10.1007/978-3-319-08590-6_14
Autor:
Birgitta König-Ries, Javad Chamanara
Publikováno v:
PIKM
Science is more and more data-driven. This means, that a significant part of a scientist's work is dedicated to accessing, visualizing, integrating and analyzing data from a possibly wide range of heterogeneous sources. In this paper we propose SciQL
Autor:
Mohammadreza Razzazi, Javad Chamanara
Publikováno v:
WCNC
This paper presents a secure agent server named J-SAS. J-SAS is a secure and distributed execution environment for mobile agents. The core of the J-SAS is an agent virtual machine fulfilling the same functions as a traditional host machine. J-SAS con