Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tamer 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
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
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
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
Autor:
Tamer Z. Emara
The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f57316e4aab4f5531e4aef1456b4aca
https://doi.org/10.4018/978-1-5225-5693-0.ch007
https://doi.org/10.4018/978-1-5225-5693-0.ch007
Autor:
Tamer Z. Emara
Publikováno v:
International Journal of Mobile Computing and Multimedia Communications. 7:32-40
The voice-over-Internet protocol (VoIP) service is expected to be widely supported in wireless mobile networks. Mobile Broadband Wireless networks VoIP service to users with high mobility requirements, connecting via portable devices which rely on th
Autor:
Tamer Z. Emara, Joshua Zhexue Huang
Publikováno v:
Science of Computer Programming. 184:102301
Analyzing big data is a challenging problem in cluster computing systems especially when the data volume goes beyond the available computing resources. Sampling is the favored solution for such problems. It summarizes or reduces the amount of data, t