Abstract
Mobile cloud computing promises several benefits such as extra battery life and storage, scalability, and reliability. However, there are still challenges that must be addressed in order to enable the ubiquitous deployment and adoption of mobile cloud computing. Some of these challenges include security, privacy and trust, bandwidth and data transfer, data management and synchronization, energy efficiency, and heterogeneity. We present a thorough overview of mobile cloud computing and differentiate it from traditional cloud computing. Also presented here is a generic architecture that evaluates 30 recently proposed mobile cloud computing research architectures (i.e., published since 2010). This is achieved by utilizing a set of assessment criteria. Finally, we discuss future research challenges that require further attention.
| Original language | English |
|---|---|
| Pages (from-to) | 70-85 |
| Number of pages | 16 |
| Journal | Journal of Network and Computer Applications |
| Volume | 115 |
| DOIs | |
| State | Published - Aug 1 2018 |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Ltd
Funding
Quan Z. Sheng's research has been partially supported by Australian Research Council (ARC) Future Fellowship FT140101247 and Discovery Project Grant DP180102378 . The authors would like to thank the anonymous reviewers for their valuable comments and suggestions which helped us to improve the quality, content, organization, and presentation of this paper. Talal H. Noor, is an assistant professor and vice dean of the College of Computer Science and Engineering – Yanbu branch at Taibah University, Saudi Arabia. His research interests include Services Computing, Security and Privacy, Trust Management, Social Computing, and Human Computer Interaction. Noor received a PhD in computer science from the University of Adelaide, Australia. He is a member of IEEE. Contact him at [email protected] . Sherali Zeadally is an Associate Professor with the College of Communication and Information, University of Kentucky. He received his Bachelor's and Doctorate degrees in computer science from the University of Cambridge, England, and the University of Buckingham, England respectively. He is a fellow of the British Computer Society and a fellow of the Institution of Engineering Technology, England. Abdullah Alfazi received the M.Cs and PhD degrees from the School of Computer science, the University of Adelaide, in 2013 and 2018, respectively. He worked as Officer in quality and service management of IT Department at Bank Aljazeera before M.Cs in 2011. His research interests are in Cloud computing, information retrieval, data mining, machine learning, and recommender systems. Quan Z. Sheng is a full professor and Head of Department of Computing, Macquarie University. He received the PhD degree in computer science from the University of New South Wales in 2006. His research interests include big data analytics, Internet of Things, and Web science. He is the recipient of ARC Future Fellowship in 2014, Chris Wallace Award for Outstanding Research Contribution in 2012, and Microsoft Research Fellowship in 2003. He is the author of more than 320 publications. He is a member of ACM and IEEE.
| Funders | Funder number |
|---|---|
| ARC Future | |
| Microsoft | |
| Australian Research Council | DP180102378, FT140101247 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Cloud computing
- Cloud services
- Mobile cloud computing
- Mobile services
- Smartphones
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications
Fingerprint
Dive into the research topics of 'Mobile cloud computing: Challenges and future research directions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver