@inproceedings{f26ce064093549358c725f19a4d95c38,
title = "Building Scalable Mobile Edge Computing by Enhancing Quality of Services",
abstract = "With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.",
keywords = "Mobile Cloudlets, Price Trading, Response Time, Smart-Phones, User Mobility",
author = "Mayank Tiwary and Shanya Sharma and Pritish Mishra and Hesham El-Sayed and Mukesh Prasad and Deepak Puthal",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th International Conference on Innovations in Information Technology, IIT 2018 ; Conference date: 18-11-2018 Through 19-11-2018",
year = "2019",
month = jan,
day = "8",
doi = "10.1109/INNOVATIONS.2018.8605955",
language = "British English",
series = "Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "141--146",
booktitle = "Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018",
address = "United States",
}