- Title
- Cloudlet computing : recent advances, taxonomy, and challenges
- Creator
- Babar, Mohammad; Khan, Muhammad; Ali, Farman; Imran, Muhammad; Shoaib, Muhammad
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185443
- Identifier
- vital:16654
- Identifier
-
https://doi.org/10.1109/ACCESS.2021.3059072
- Identifier
- ISBN:2169-3536 (ISSN)
- Abstract
- A cloudlet is an emerging computing paradigm that is designed to meet the requirements and expectations of the Internet of things (IoT) and tackle the conventional limitations of a cloud (e.g., high latency). The idea is to bring computing resources (i.e., storage and processing) to the edge of a network. This article presents a taxonomy of cloudlet applications, outlines cloudlet utilities, and describes recent advances, challenges, and future research directions. Based on the literature, a unique taxonomy of cloudlet applications is designed. Moreover, a cloudlet computation offloading application for augmenting resource-constrained IoT devices, handling compute-intensive tasks, and minimizing the energy consumption of related devices is explored. This study also highlights the viability of cloudlets to support smart systems and applications, such as augmented reality, virtual reality, and applications that require high-quality service. Finally, the role of cloudlets in emergency situations, hostile conditions, and in the technological integration of future applications and services is elaborated in detail. © 2013 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Access Vol. 9, no. (2021), p. 29609-29622
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright @ IEEE
- Rights
- Open Access
- Subject
- 40 Engineering; 46 Information and computing sciences; Cloud computing; Cloudlets; Computation offloading; Edge computing; Internet of Things; Smart city; Smart health
- Full Text
- Reviewed
- Funder
- This work was supported in part by the Deanship of Scientific Research of King Saud University through the Research Group under Project RG-1439-036
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