S
Samee U. Khan
Researcher at Mississippi State University
Publications - 420
Citations - 18650
Samee U. Khan is an academic researcher from Mississippi State University. The author has contributed to research in topics: Cloud computing & Scheduling (computing). The author has an hindex of 64, co-authored 397 publications receiving 16218 citations. Previous affiliations of Samee U. Khan include Colorado State University & COMSATS Institute of Information Technology.
Papers
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Journal ArticleDOI
The rise of big data on cloud computing
Ibrahim Abaker Targio Hashem,Ibrar Yaqoob,Nor Badrul Anuar,Salimah Binti Mokhtar,Abdullah Gani,Samee U. Khan +5 more
TL;DR: The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced, and research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance.
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Security in cloud computing
TL;DR: The security issues that arise due to the very nature of cloud computing are detailed and the recent solutions presented in the literature to counter the security issues are presented.
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A Survey of Mobile Cloud Computing Application Models
TL;DR: The mobile cloud architecture, offloading decision affecting entities, application models classification, the latest mobile cloud application models, their critical analysis and future research directions are presented.
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GreenCloud: a packet-level simulator of energy-aware cloud computing data centers
TL;DR: A simulation environment for energy-aware cloud computing data centers is presented and the effectiveness of the simulator in utilizing power management schema, such as voltage scaling, frequency scaling, and dynamic shutdown that are applied to the computing and networking components are demonstrated.
Proceedings ArticleDOI
GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers
TL;DR: The simulation results obtained for two-tier, three- tier, and three-tier high-speed data center architectures demonstrate the effectiveness of the simulator in utilizing power management schema, such as voltage scaling, frequency scaling, and dynamic shutdown that are applied to the computing and networking components.