QoE Control of Network Using Collective Intelligence of SNS in Large-Scale Disasters
QoE Control of Network Using Collective Intelligence of SNS in Large-Scale Disasters
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DOI：
10.1109/cit.2016.68
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Chihiro Maru;Miki Enoki;A. Nakao;Shu Yamamoto;Saneyasu Yamaguchi;M. Oguchi
中科院分区：
文献类型：
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作者：
Chihiro Maru;Miki Enoki;A. Nakao;Shu Yamamoto;Saneyasu Yamaguchi;M. Oguchi
2011年日本东部大地震发生时，仅使用网络监测设备的信息很难立即确定所有电信网络的状况，因为破坏相当严重，出现了严重的拥塞控制状态，而且在地震发生时，电话和电子邮件服务在许多情况下无法使用，尽管社交网络服务(SNSS)仍然可用，但在紧急情况下，如地震，用户会通过SNSS主动传达电信网络状况的信息，因此，SNSS的集体智能适合作为通过网络监测设备进行常规观测的补充信息检测手段。我们提出了一个网络故障检测系统，它利用Twitter的集体智能来高精度地检测电话故障。我们还证明了利用我们的系统检索到的电信网络状况的信息可以自动和自主地执行网络控制。我们在深度可编程网络(DPN)环境下开发了一个网络控制系统，并在广域网试验台上实现了它。
When the Great East Japan Earthquake occurred in 2011, it was difficult to immediately determine all telecommunications network conditions using only information from network monitoring devices because the damage was considerably heavy and a severe congestion control state occurred, Moreover, at the time of the earthquake, telephone and e-mail services could not be used in many cases, although social networking services (SNSs) were still available, In an emergency, such as an earthquake, users proactively convey information on telecommunications network conditions through SNSs, Therefore, the collective intelligence of SNSs is suitable as a means of information detection complementary to conventional observation through network monitoring devices, In this paper, we propose a network-failure-detection system that detects telephony failures with a high degree of accuracy by using the collective intelligence of Twitter, one of the most widely used SNSs, We also show that network control can be performed automatically and autonomically using information on telecommunications network conditions retrieved with our system, We developed a network-control system on a deeply programmable network (DPN) environment and implemented it on a wide-area network testbed.