Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Z. Emara"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Nowadays, several companies prefer storing their data on multiple data centers with replication for many reasons. The data that spans various data centers ensures the fastest possible response time for customers and workforces who are geogra
Externí odkaz:
https://doaj.org/article/0d32fccbf8414d4d831ad80bb7a48184
Autor:
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 2, Pp 85-101 (2020)
Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data
Externí odkaz:
https://doaj.org/article/3fc66f78b01c4f7e9c34f86beb1835a3
Distributed Data Strategies to Support Large-Scale Data Analysis Across Geo-Distributed Data Centers
Autor:
Tamer Z. Emara, Joshua Zhexue Huang
Publikováno v:
IEEE Access, Vol 8, Pp 178526-178538 (2020)
As the volume of data grows rapidly, storing big data in a single data center is no longer feasible. Hence, companies have developed two scenarios to store their big data in multiple data centers. In the first scenario, the company's big data are dis
Externí odkaz:
https://doaj.org/article/116aa3d184574c0d88fd693551a7e14e
Publikováno v:
Case Studies in Thermal Engineering, Vol 27, Iss , Pp 101365- (2021)
Apple slices were dried in a hybrid infrared-convective dryer. An experimental design was applied to analyse drying kinetics due to the effect of infrared intensity and air temperature. Apple slices that were either 2 mm thick were dried by the infra
Externí odkaz:
https://doaj.org/article/607086f9fcd14abd948c59b3ad858009
Akademický článek
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Autor:
Salman Salloum, Tamer Z. Emara, Mohammad Sultan Mahmud, Kuanishbay Sadatdiynov, Joshua Zhexue Huang
Publikováno v:
Big Data Mining and Analytics. 3:85-101
Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee1fbc37c05090a50291421a566015b
https://doi.org/10.26599/bdma.2019.9020015
https://doi.org/10.26599/bdma.2019.9020015
Publikováno v:
Artificial Intelligence in Data and Big Data Processing ISBN: 9783030976095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ec6b50257aebfc94438a687b390d1d
https://doi.org/10.1007/978-3-030-97610-1_21
https://doi.org/10.1007/978-3-030-97610-1_21
Autor:
Tamer Z. Emara, Joshua Zhexue Huang
Publikováno v:
Journal of Systems and Software. 148:105-115
Distributed data management is a key technology to enable efficient massive data processing and analysis in cluster-computing environments. Specifically, in environments where the data volumes are beyond the system capabilities, big data files are re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6dd8931262547a7b0c4a1b69adbdb6
https://doi.org/10.1016/j.jss.2018.11.007
https://doi.org/10.1016/j.jss.2018.11.007
Publikováno v:
Case Studies in Thermal Engineering, Vol 27, Iss, Pp 101365-(2021)
Apple slices were dried in a hybrid infrared-convective dryer. An experimental design was applied to analyse drying kinetics due to the effect of infrared intensity and air temperature. Apple slices that were either 2 mm thick were dried by the infra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3448e5dfd30790b49dcccddc750339f
https://doi.org/10.1016/j.csite.2021.101365
https://doi.org/10.1016/j.csite.2021.101365
Publikováno v:
RIVF
Event-based social networks (EBSNs) have gained increasing popularity and rapid growth, EBSNs provide services for users to create events and make plan to attend. Developing and creating recommendation models are important and hot issues in EBSNs in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe75398e5bc97bac6646789d18271782
https://doi.org/10.1109/rivf.2019.8713716
https://doi.org/10.1109/rivf.2019.8713716