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[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
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[必]应征期限：8/20
[必]联络方式：站内信
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（例：预付OO元订金，交稿后XX天内付清余额，完稿后YY天内付清。
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[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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