Abstract
As network bandwidth and coverage continue to increase, the adoption rates of mobile devices are growing over time and the mobile technology is becoming increasingly industrialized. In mobile cloud marketplaces, the cloud-supported mobile services can be leased off. However, the mobile service selection may introduce technical debt (TD), which is essential to be predicted and quantified. In this context, this paper examines the incurrence of technical debt in the future when leasing cloud-based mobile services by proposing a novel quantitative model, which adopts a linear and symmetric approach as a linear growth in the number of users is predicted. The formulation of the problem is based on a cost-benefit analysis, elaborating on the potential profit that could be obtained if the number of users would be equal to the maximum value. The probability of overutilization of the selected service in the long run is also researched. Finally, a quantification tool has been developed as a proof of concept (PoC), which initiates the technical debt analysis and optimization on mobile cloud-based service level and aims to provide insights into the overutilization or underutilization of a web service when a linear increase in the number of users occurs.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Communications, ICC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479966646 |
DOIs | |
Publication status | Published - 12 Jul 2016 |
Event | 2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia Duration: 22 May 2016 → 27 May 2016 |
Other
Other | 2016 IEEE International Conference on Communications, ICC 2016 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 22/05/16 → 27/05/16 |
Keywords
- decision making
- linearity
- quantitative model
- service level selection
- technical debt evaluation
- technical debt quantification