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

The Journal of China Universities of Posts and Telecommunications 2018年第3期25卷 45-54页

作者： Wang Shaochun Lu Zhaoming Wen Xiangming Wang Luhan Ma Lu Beijing Laboratory of Advanced Information networks Beijing University of Posts and Telecommunications Beijing Key Laboratory of network System Architecture and Convergence Beijing University of Posts and Telecommunications

The explosive increase of smart devices and mobile traffic results intolerable network latency and degraded service to the end-users. in heavy burden on backhaul and core network, 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 fromulated, 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 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

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edge Video CDN： A Wi-Fi Content Hotspot Solution

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Journal of Computer Science & Technology 2016年第6期31卷 1072-1086页

作者： Wen Hu Zhi Wang Ming Ma Li-Feng Sun Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Graduate School at Shenzhen Tsinghua University Shenzhen 518055 China

The emergence of smart edge-network content item hotspots, which are equipped with huge storage space （e.g., several GBs）, opens up the opportunity to study the possibility of delivering videos at the edge network. Different from both the conventional content item delivery network （CDN） and the peer-to-peer （P2P） scheme, this new delivery paradigm, namely edge video CDN, requires up to millions of edge hotspots located at users＇ homes/offices to be coordinately managed to serve mobile video content item. Specifically, two challenges are involved in building edge video CDN, including how edge content item hotspots should be organized to serve users, and how content items should be replicated to them at different locations to serve users. To address these challenges, we propose our data-driven design as follows. First, we formulate an edge region partition problem to jointly maximize the quality experienced by users and minimize the replication cost, which is NP-hard in nature, and we design a Voronoi-like partition algorithm to generate optimal service cells. Second, to replicate content items to edge-network content item hotspots, we propose an edge request prediction based replication strategy, which carries out the replication in a server peak offioading manner. We implement our design and use trace-driven experiments to verify its effectiveness. Compared with conventional centralized CDN and popularity-based replication, our design can significantly improve users＇ quality of experience, in terms of users＇ perceived bandwidth and latency, up to 40%.

关键词： video content item delivery network （CDN） edge network content item hotspot

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