His primary areas of study are Cloud computing, Distributed computing, Energy consumption, Efficient energy use and Scheduling. His studies in Cloud computing integrate themes in fields like Computer security, Data center and Server. He interconnects Workload, Service-level agreement, Game theory, Cloud testing and Job shop scheduling in the investigation of issues within Distributed computing.
His Efficient energy use research incorporates elements of Scalability, Resource allocation, Telecommunications, Upload and Information and Communications Technology. Samee U. Khan focuses mostly in the field of Scheduling, narrowing it down to topics relating to Directed acyclic graph and, in certain cases, End-user computing, Data stream, Critical path method and Heuristic. As part of one scientific family, he deals mainly with the area of Utility computing, narrowing it down to issues related to the Provisioning, and often Frequency scaling and Simulation.
Samee U. Khan mainly investigates Distributed computing, Cloud computing, Computer network, Scheduling and Energy consumption. The concepts of his Distributed computing study are interwoven with issues in Resource allocation, Dynamic priority scheduling, Job shop scheduling and Fair-share scheduling. His research in Cloud computing intersects with topics in Computer security, Scalability, Server and Data center.
His Server study incorporates themes from Virtual machine and Game theory. His Scheduling study combines topics from a wide range of disciplines, such as Workload, Grid computing and Schedule. His Energy consumption research includes themes of Real-time computing, Efficient energy use and Heuristics.
Samee U. Khan focuses on Cloud computing, Distributed computing, Energy consumption, Big data and Server. The study incorporates disciplines such as Computer security, Scheduling, Computer network, Encryption and Enhanced Data Rates for GSM Evolution in addition to Cloud computing. His Scheduling research is multidisciplinary, incorporating perspectives in Real-time computing and Frequency scaling.
His Distributed computing study integrates concerns from other disciplines, such as Scalability, Virtualization, Workload, Quality of service and Edge computing. His Energy consumption research integrates issues from Virtual machine, Reduction, Data center, Data stream processing and Efficient energy use. His study looks at the intersection of Big data and topics like Data science with Recommender system.
His primary scientific interests are in Cloud computing, Distributed computing, Energy consumption, Edge computing and Scheduling. In his study, which falls under the umbrella issue of Cloud computing, Wireless ad hoc network and Dissemination is strongly linked to Computer network. His biological study spans a wide range of topics, including Scalability, Virtualization, Quality of service, Elasticity and Server.
His study explores the link between Virtualization and topics such as Virtual machine that cross with problems in Data center. The Energy consumption study combines topics in areas such as Reduction, Knapsack problem, Greedy algorithm and Parallel computing. His research in Edge computing intersects with topics in Edge device, Renewable energy, Efficient energy use and Energy management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The rise of big data on cloud computing
Ibrahim Abaker Targio Hashem;Ibrar Yaqoob;Nor Badrul Anuar;Salimah Mokhtar.
Information Systems (2015)
GreenCloud: a packet-level simulator of energy-aware cloud computing data centers
Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
The Journal of Supercomputing (2012)
A Survey of Mobile Cloud Computing Application Models
Atta Ur Rehman Khan;Mazliza Othman;Sajjad Ahmad Madani;Samee Ullah Khan.
IEEE Communications Surveys and Tutorials (2014)
Security in cloud computing
Mazhar Ali;Samee U. Khan;Athanasios V. Vasilakos.
Information Sciences (2015)
Towards secure mobile cloud computing: A survey
Abdul Nasir Khan;M. L. Mat Kiah;Samee U. Khan;Sajjad A. Madani.
Future Generation Computer Systems (2013)
GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers
Dzmitry Kliazovich;Pascal Bouvry;Yury Audzevich;Samee Ullah Khan.
global communications conference (2010)
A literature review on the state-of-the-art in patent analysis
Assad Abbas;Limin Zhang;Samee U. Khan.
World Patent Information (2014)
DENS: Data Center Energy-Efficient Network-Aware Scheduling
Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
green computing and communications (2010)
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman.
Computing (2016)
A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds
Assad Abbas;Samee Ullah Khan.
IEEE Journal of Biomedical and Health Informatics (2014)
University of Sydney
University of Bielsko-Biała
University of Luxembourg
China University of Geosciences
University of Macau
The University of Texas at Arlington
Wuhan University
State University of New York
Newcastle University
University of Malaya
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
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