An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing-Reference-Cited by-同舟云学术

An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing

Author:

Babar Muhammad¹^ORCID,Jan Mian Ahmad²^ORCID,He Xiangjian³^ORCID,Tariq Muhammad Usman⁴^ORCID,Mastorakis Spyridon⁵^ORCID,Alturki Ryan⁶^ORCID

Affiliation:

1. Department of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan

2. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

3. Global Big Data Technologies Center, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia

4. Department of Business and Computing, Abu Dhabi University, Abu Dhabi, UAE

5. College of Information Science and Technology, University of Nebraska Omaha, Omaha, NE, USA

6. Department of Information Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

Funder

NIH

NSF

Nebraska University Collaboration Initiative

Nebraska Tobacco Settlement Biomedical Research Development Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference42 articles.

2. Constrained big data mining in an edge computing environment;leung;Proc Int Conf Big Data Appl Services,2017

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