Zakarya, Muhammad, Gillam, Lee and Rana, Omer  ORCID: https://orcid.org/0000-0003-3597-2646
2026.
profitAware: a cost effective service placement technique for multi-access edge clouds.
IEEE Transactions on Cloud Computing
14
(2)
, pp. 1187-1201.
10.1109/tcc.2026.3685335
|
Abstract
Cloud computing and datacentres provided by companies such as Google, Alibaba, Tencent, and Amazon Web Services still dominate datacentres industry from a business revenue perspective. However, imminent technologies and a variety of digital devices that form part of the Multi-access Edge Clouds (MECs) and Internet of Things (IoT), along with modular applications, are starting to take the central stage. In the MEC scenario, there are multiple providers such as networks, processing resources, and applications that are involved in service offerings and often have conflicting optimisation objectives. For example, the profit of the infrastructure providers would need more users, which can degrade the network performance. Therefore, to ensure service quality, all providers' goals should be kept in mind, in particular, when deciding placements. Game theory, particularly the Stackelberg framework, can be used to deal with such optimisation problems because it can model the conflicting objectives typical in MEC environments– such as communication between service providers (leaders) and users (followers); therefore, enabling efficient service placement decisions. In this paper, we model the optimisation problem as a Stackelberg game and propose a bidding strategy that ensures the objectives of all providers are met...
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | Institute of Electrical and Electronics Engineers |
| ISSN: | 2168-7161 |
| Date of Acceptance: | 15 April 2026 |
| Last Modified: | 04 Aug 2026 23:46 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/186644 |
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