The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Principles for Engineering IoT Cloud Systems
Abstract
Engineering Internet of Things (IoT) and cloud services to provide a coherent software layer for continuous deployment, provision, and execution of applications for various domains is complex. The authors consider whether IoT cloud systems could provide a uniform layer to enable continuous execution of complex applications consisting of diverse types of software components, although these systems are built by integrating and blending IoT infrastructures with cloud-based datacenters. The authors analyze requirements and perspectives for engineering such IoT cloud systems and discuss the main engineering principles that should be supported. They then highlight seven main principles, covering different development and operation phases of IoT cloud systems. To show the importance and feasibility of these principles, they present some of their recent work in providing concepts and tools for IoT cloud systems.
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Cites
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
Cited by
A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT
Sharma, P. K., Chen, M.-Y., & Park, J. H. (2018) · IEEE Access · doi:10.1109/access.2017.2757955 · Cited by 676
A Survey on Internet of Things and Cloud Computing for Healthcare
Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019) · Electronics · doi:10.3390/electronics8070768 · Cited by 640
A survey of IoT cloud platforms
Ray, P. P. (2016) · Future Computing and Informatics Journal · doi:10.1016/j.fcij.2017.02.001 · Cited by 538
Narita, F., & Fox, M. (2018) · Advanced Engineering Materials · doi:10.1002/adem.201700743 · Cited by 527
A Framework of Fog Computing: Architecture, Challenges, and Optimization
Liu, Y., Fieldsend, J. E., & Min, G. (2017) · IEEE Access · doi:10.1109/access.2017.2766923 · Cited by 218
Metadata
- Authors
- Truong, H.-L., & Dustdar, S.
- Venue
- IEEE Cloud Computing
- Published
- 2015-03
- Volume
- 2
- Issue
- 2
- Pages
- 68-76
- ISSN
- 2325-6095 (ISSN-L)
- OpenAlex
- W1792167539
- Cited by
- 179
- References
- 1
- FWCI
- 26.09
- Type
- journal article
- Language
- en
- Open access
- closed
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