Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Hosam E. Refaat"'
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Akademický článek
Enhancement of Fog Caching Using Nature Inspiration Optimization Technique Based on Cloud Computing
Autor: Mohamed R. Elnagar, Ahmed Awad Mohamed, Benbella S. Tawfik, Hosam E. Refaat
Publikováno v: IEEE Access, Vol 12, Pp 101484-101496 (2024)
Caching plays an important role in reducing latency and increasing the overall performance of fog computing systems. With the rise of the Internet of Things (IoT) and edge computing, fog computing has become an essential paradigm for addressing the c
Externí odkaz: https://doaj.org/article/c9cf4173ff284211a3f8a8332d6806bb
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5
DLBS: Decentralize Load-Balance Scheduling Algorithm for Real-Time IoT Services in Mist Computing
Autor: Mohamed A.Mead, Hosam E Refaat
Publikováno v: International Journal of Advanced Computer Science and Applications. 10
Internet of Things (IoT) has been industrially investigated as Platforms as a Services (PaaS). The naive design of these types of services is to join the classic centralized Cloud computing infrastructure with IoT services. This joining is also calle
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6306040b89979aeb3c013421c1a1e1f1
https://doi.org/10.14569/ijacsa.2019.0100913
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6
High Available Fault Tolerant Technique in Distributed Shared Memory
Autor: Usama Badawi, Hosam E. Refaat
Publikováno v: International Journal of Computer Applications. 140:1-9
distributed systems, that are based on constructing a network of heterogeneous computers, suffer from the problem of failing components during the system run time. In case of failure, the distributed applications must be restarted from the scratch. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0d3dd234fbe89a91fef5f72e4954a63
https://doi.org/10.5120/ijca2016908243
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7
A new parallel association rule mining algorithm on distributed shared memory system
Autor: Mohamed H. Marghny, Hosam E. Refaat
Publikováno v: International Journal of Business Intelligence and Data Mining. 7:233
Frequent itemset finding is the most time consuming step in analysing large transactional databases. The use of sequential algorithms cannot give analytical ability for such very large databases especially in terms of run-time performance. Therefore,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5516a1d088033aebae12b1184f96def6
https://doi.org/10.1504/ijbidm.2012.051710
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