Resource efficient mobile computing using cloudlet infrastructure
Abstract
Mobile Cloud Computing (MCC) has been introduced as a viable solution to the inherited limitations of mobile computing. These limitations include battery lifetime, processing power, and storage capacity. By using MCC, the processing and the storage of intensive mobile device jobs will take place in the cloud system and the results will be returned to the mobile device. This will reduce the required power and time for completing such intensive jobs. However, connecting mobile devices with the cloud suffers from the high network latency and the huge transmission power consumption especially when using 3G/LTE connections. In this paper, we introduce a Cloudlet based MCC system aiming to reduce the power consumption and the network delay while using MCC. We merged the MCC concepts with the proposed Cloudlet framework and propose a new framework for the MCC model. Our practical experimental results showed that using the proposed model reduces the power consumption from the mobile device, besides reducing the communication latency when the mobile device requests a job to take place remotely while keeping high quality of service stander.
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A single-device cloudlet with one mobile user achieved reductions in power usage by 50%, a nearly 10-fold reduction in delay time, and a 10-fold increase in throughput.
“In a separate practical test of cloudlet versus cloud, reductions in power usage by 50%, a nearly 10-fold reduction in delay time and an increased throughput of 10-fold (Table 3) were achieved using a single-device cloudlet with one mobile user [141].”
From Edge AI: A survey (2023) · cites this paper as [141]
Cites
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- Authors
- Jararweh, Y., Tawalbeh, L., Ababneh, F., & Dosari, F.
- Affiliations
- Jordan University of Science and Technology (JO)
- Umm al-Qura University (SA)
- ORCID
- Jararweh, Yaser
- Venue
- 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks
- Publisher
- IEEE
- Published
- 2013-12
- Pages
- 373-377
- OpenAlex
- W1976051179
- Cited by
- 132
- References
- 3
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 10 · 2019: 13 · 2018: 22 · 2017: 18 · 2016: 19 · 2015: 19 · 2014: 8 · 2013: 2
- FWCI
- 12.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Cloud Computing and Remote Desktop Technologies
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- mobile cloud computing, cloudlets, resource efficiency, battery life, power consumption, network latency, communication delay, quality of service, mobile devices
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