[必]我已经读过置底版规、参考费率、发文必读公告，并愿意遵守规定：YES * 如已读过，请填 YES * 如未读过，请读过再重新发文。未填视为未读，一律删文处理并警告。 ────────────────────────────────────── [必]工 作 量： 一篇4200字上下，一篇4000字上下。 （请载明字数或估算大约总字数。违者直接删文） [必]工作报酬：0.6/字 （无预算或预算过低，都会被直接删除。*请注明以中文或外文计价。） [必]涉及语言：英文 [必]所属领域：资讯 (例：教育/医学/法律） [必]文件类型：论文 （例：论文摘要/期刊/书信。* 专业文类必须符合对应最低费率要求） [必]截 稿 日：谈妥後3日处理时间 （若为急件，请加乘急件费率。计算方式请见置底公告） [必]应徵期限：8/20 [必]联络方式：站内信 [必]付费方式：跟润稿者协调，以您方便为主。 （例：预付OO元订金，交稿後XX天内付清余额，完稿後YY天内付清。 案主跟译者需协定何时及如何付款，以避免日後争议。） ────────────────────────────────────── [选]工作要求：只需检查基本文法与单字，不需管整体意思，不过我们需要你PO相关的 工作经验，这部份我们比较重视，文章润稿部分就还好。 [选]参考段落： 1. With the rapid advance of communication and networking technologies, many devices connect to the Internet. That leads to the concept of IoT. To develop different IoT applications, many web cloud platforms are proposed to provide data col- lection, aggregation, and application. For example, IoTtalk [1], IoT Core (Amazon Web Services), Cloud IoT Core (Google Cloud) are the web platforms for IoT. However, cloud-based web services cannot apply to all IoT situations. In addition, the academia and the industry pay much attention to security issues of IoT with the growth of IoT. The paper proposes the IoT Framework to deal with the problems. 2. With recent changes in wireless communication ecosystem, the demand for using web services continues to increase, Cisco’s technical white paper [1] predicts that future mobile data traffic has been growing explosively in recent years, in other words, users are increasingly unable to tolerate low QoE (Quality of Experience). Besides, nearly 50% of mobile data traffic will belong to video streaming applications. In typical mobile video streaming of the existing 4G infrastructure, users’ packets must be transmitted through the base station, backbone network and then to the core network. The inherent 4G architecture cannot tolerate such a large amount of video traffic in the future. To address this challenge, European Telecommunications Standards Institute (ETSI) has proposed a promising technological paradigm, mobile edge computing (MEC) [2], which can be combined with the 4G network architecture to effectively reduce latency and network traffic congestion by providing computation and storage capacity from core network to edge network. In particular, MEC server, which operates as local content delivery node and serves cached contents. In this paper, we build the MEC architecture for video streaming, and deploy our proposed machine learning models for video popularity prediction in the MEC server. [选]试 译 文：（100-200字，并不超过全文1/10。严禁私下试译。若未提供请勿删除） [选]其他事项：（若未提供请勿删除） ────────────────────────────────────── --

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