Proceedings ArticleDOI
Virtual resource allocation for information-centric heterogeneous networks with mobile edge computing
Yuchen Zhou,F. Richard Yu,Jian Chen,Yonghong Kuo +3 more
- pp 235-240
TLDR
A novel virtualized heterogeneous networks framework aiming at enabling content caching and computing and 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.Abstract:
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.read more
Citations
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ScaRL: Service Function Chain Allocation Based on Reinforcement Learning in Mobile Edge Computing
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References
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Posted Content
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
TL;DR: This paper designs a distributed computation offloading algorithm that can achieve a Nash equilibrium, derive the upper bound of the convergence time, and quantify its efficiency ratio over the centralized optimal solutions in terms of two important performance metrics.
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Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
Ke Zhang,Yuming Mao,Supeng Leng,Quanxin Zhao,Longjiang Li,Xin Peng,Li Pan,Sabita Maharjan,Yan Zhang +8 more
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Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks
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