Joint system consumption minimization and workload allocation in edge-core network

doi:10.19682/j.cnki.1005-8885.2018.0013

中国邮电高校学报(英文版) ›› 2018, Vol. 25 ›› Issue (3): 45-54.doi: 10.19682/j.cnki.1005-8885.2018.0013

Joint system consumption minimization and workload allocation in edge-core network

王少春¹,路兆铭¹,温向明¹,王鲁晗¹,马璐

收稿日期:2017-08-29 修回日期:2018-01-15 出版日期:2018-06-29 发布日期:2018-06-30
通讯作者: 王少春 E-mail:shaochun_wang@126.com

Joint system consumption minimization and workload allocation in edge-core network

Received:2017-08-29 Revised:2018-01-15 Online:2018-06-29 Published:2018-06-30
Contact: Shao-Chun WANG E-mail:shaochun_wang@126.com

摘要/Abstract

摘要： The explosive increase of smart devices and mobile traffic results in heavy burden on backhaul and core network, intolerable network latency and degraded service to the end-users. As a complement to core network, edge network contributes to relieving network burden and improving user experience. To investigate the problem of optimizing the total consumption in an edge-core network, the system consumption minimization problem is formulated considering the energy consumption and delay. Given that the formulated problem is a mixed nonlinear integer programming (MNIP), a low-complexity workload allocation algorithm is subsequently proposed based on interior-point method. The proposed algorithm has an extremely short running time in practice. Finally, simulation results show that edge network can significantly complement core network with much reduced backhaul energy consumption and delay.

关键词: edge network, core network, system consumption optimization, workload allocation

Abstract: The explosive increase of smart devices and mobile traffic results in heavy burden on backhaul and core network, intolerable network latency and degraded service to the end-users. As a complement to core network, edge network contributes to relieving network burden and improving user experience. To investigate the problem of optimizing the total consumption in an edge-core network, the system consumption minimization problem is formulated considering the energy consumption and delay. Given that the formulated problem is a mixed nonlinear integer programming (MNIP), a low-complexity workload allocation algorithm is subsequently proposed based on interior-point method. The proposed algorithm has an extremely short running time in practice. Finally, simulation results show that edge network can significantly complement core network with much reduced backhaul energy consumption and delay.

Key words: edge network, core network, system consumption optimization, workload allocation

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Joint system consumption minimization and workload allocation in edge-core network

Joint system consumption minimization and workload allocation in edge-core network

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