S
Salimah Binti Mokhtar
Researcher at Information Technology University
Publications - 21
Citations - 3469
Salimah Binti Mokhtar is an academic researcher from Information Technology University. The author has contributed to research in topics: Interoperability & Service-oriented architecture. The author has an hindex of 7, co-authored 21 publications receiving 3026 citations. Previous affiliations of Salimah Binti Mokhtar include University of Malaya.
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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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Big data
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Abdullah Gani,Salimah Binti Mokhtar,Ejaz Ahmed,Nor Badrul Anuar,Athanasios V. Vasilakos +6 more
TL;DR: This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing based on structuralism and functionalism paradigms and strengths and weaknesses of these technologies are analyzed.
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Enabling Communication Technologies for Smart Cities
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Yasir Mehmood,Abdullah Gani,Salimah Binti Mokhtar,Sghaier Guizani +5 more
TL;DR: Several research challenges, such as interference management, scalable wireless solutions, interoperability support among heterogeneous wireless networks, mobility management, and high energy consumption that remain to be addressed for enabling unimpaired connectivity in smart cities are discussed as future research directions.
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Mobile ad hoc cloud: A survey
TL;DR: This study surveys the state-of-the-art research efforts carried out in the MAC domain, and advocates that the problems stem from the intrinsic characteristics of MAC by identifying several new principles.
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TEMPORARY REMOVAL: Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions
Ibrar Yaqoob,Victor Chang,Abdullah Gani,Salimah Binti Mokhtar,Ibrahim Abaker Targio Hashem,Ejaz Ahmed,Nor Badrul Anuar,Samee U. Khan +7 more
TL;DR: The significance of applying IF to big social data by highlighting its potential benefits and several potential applications of IF in social big data are discussed and several future research directions are presented.