Virtual resource allocation for information-centric heterogeneous networks with mobile edge computing
In order to better accommodate the dramatically increasing demand for data caching and computing services, storage and computation capabilities should be endowed to some of the intermediate nodes within the network. In this paper, we design a novel virtualized heterogeneous networks framework aiming at enabling content caching and computing. With the virtualization of the whole system, the communication, computing and caching resources can be shared among all users associated with different virtual service providers. We formulate the virtual resource allocation strategy as a joint optimization problem, where the gains of not only virtualization but also caching and computing are taken into consideration in the proposed architecture. In addition, a distributed algorithm based on alternating direction method of multipliers is adopted to solve the formulated problem, in order to reduce the computational complexity and signaling overhead. Finally, extensive simulations are presented to show the effectiveness of the proposed scheme under different system parameters.
|In-network caching, Mobile edge computing, Resource allocation|
|2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017|
|Organisation||School of Information Technology|
Zhou, Y. (Yuchen), Yu, F.R, Chen, J. (Jian), & Kuo, Y. (Yonghong). (2017). Virtual resource allocation for information-centric heterogeneous networks with mobile edge computing. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 (pp. 235–240). doi:10.1109/INFCOMW.2017.8116382