The fast increasing of mobile data traffic, and the stringent requirements of the emerging services in terms of latency and bandwidth, have spurred numerous influences for the change of Cloud Radio Access Network (C-RAN) and cloud computing. MEC enabled C-RAN have emerged as promising candidates for the next generation access network techniques to accommodate the fast growing IoT traffic and improve the performance of IoT services. Deploying MEC servers in C-RAN, which brings IoT services to the edge network, not only improve users quality of service (QoS), but also alleviates the network traffic of core network. The deployment performance of MEC servers is, however, highly related to the workload assignment. Therefore, the deployment mechanism of MEC servers and workload assignment scheme would jointly affect QoS of users, economic benefits of operators. In this paper, we jointly consider MEC deployment and workload assignment for minimizing the sum of deployment cost and delay in C-RAN based on optical rings. Simulation results showed that the proposed algorithm not only minimizes the total cost (MEC deployment cost and E2E delay), but also demonstrate good trade-off between deployment cost and average delay.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.