1、 Edge ComputingThe cloud computing paradigm is a service provisioning model that provides user access to scalable distributed capabilities including computing,networking,and storage in the cloud data centers.Cloud service providers(CSPs)provide flexibility and efficiency for end users by providing s
2、ervices such as software as a service(SaaS),platform as a service(PaaS)and infrastructure as a service(IaaS).edge n.边缘，刀刃paradigm n.范例，范式provision n.规定，条款，准备；v.供给-食物及必需品scalable a.可扩展的，可攀登的distribute v.分配，散布flexibility n.灵活性，柔韧性For example,service vendors can scale services to fit their needs,custom
3、ize applications and access cloud services from anywhere with an internet connection.Thus cloud-based services are ideal for businesses with growing or fluctuating internet bandwidth demands.Moreover,with cloud computing,enterprise users can ship applications to market more quickly,without worrying
4、about underlying infrastructure costs,maintenance,disaster recovery,and automatic software updates.platform n.平台，站台customize v.定制，量身定制fluctuate v.波动，起伏disaster n.灾难，灾害automatic a.自动的，机械的To leverage the benefits of cloud computing,various deployment models including private cloud,public cloud,and hyb
5、rid cloud,are key factors for system reliability and scale for business needs.Cloud computing has changed the way of business of all vertical domains as well as human beings daily life dramatically.leverage v.利用；n.杠杆deployment n.部署，展开hybrid a.混合的，杂种的reliability n.可靠性，可靠度vertical a.垂直的，直立的dramaticall
6、y ad.显著的，剧烈的Therefore,its predicted that cloud service is inevitably becoming pervasive and ubiquitous in any commercial or personal market,which is similar with the prevalent dominance of Internet in nowadays.inevitable a.必然的，不可避免的pervasive a.普遍的，到处渗透的ubiquitous a.普遍存在的，无所不在的prevalent a.普遍的，流行的domi
7、nance n.优势，统治 Although cloud computing can provide organizations dynamic,cloud-based operating models for cost optimization and increased competitiveness,it also has some disadvantages in many scenarios like industrial IoT,connected autonomous vehicles(CAVs),smart homes,and smart cities.dynamic a.动态
8、的，动力的optimization n.最佳化，最优化scenarios n.场景，情节For example,cloud computing based processing requires huge volume of data transportation from end devices and sensors,which consumes large network bandwidth.Moreover,cloud data center based analysis is not possible for huge data generated from thousands of
9、 millions of end devices due to the incapability of computing and storage.Therefore,cloud computing based processing cant provide prompt responsiveness and short latency for big data analytics from massive IoT devices.In some scenarios where data privacy and security is the first concern,cloud compu
10、ting data centers are not trustful to conduct the data analytics.consume v.消费，消耗Incapability n.无能力，无资格latency n.潜伏，延迟，时延security n.安全，安全性 Edge computing is emerged as a promising paradigm that provides capabilities of processing or storing critical data locally and pushing all received data to a cen
11、tral data center or cloud storage repository.For example,in IoT use cases,the edge devices collect data from sensors and process it there,or send it back to a data center or the cloud for processing if the local processing power is not enough.repository n.仓库，知识库To this end,edge computing paradigm ca
12、n take some of the load off the central cloud data centers and migrate the tasks from cloud computing centers to network edge devices,reducing or even eliminating the processing workload at the central location.The demand for scalable real-time data analytics in IoT scenarios is the main driving for
13、ce for edge computing.In edge computing environment,data generation and consumption are concentrated to the edge of the network in many applications of smart home,smart city,and industrial internet.eliminate v.消除，排除environment n.环境，外界 With the advances of IoT,5G communication,autonomous driving,and
14、smart cities,edge computing is connecting and bridging the gap between numerous end devices and the centralized cloud computing data centers.Moreover,in some cases where data privacy and security is the main concern,edge computing promises to provide data privacy preservation by keeping data inside
15、the network edge rather than sending the data to centralized cloud data centers,which in turn provides lower latency,increase reliability and improves overall network efficiency.bridge v.架桥，渡过privacy n.隐私，秘密preservation n.保存，保留Since hundreds of millions of edge devices are geographically deployed in
16、 a distributed manner,and the processing to data is also performed on heterogeneous distributed devices,its very important to design new system architecture suitable for edge computing environments.The data volume generated by various applications and devices running in the edge computing environmen
17、t is huge and highly heterogeneous.With the ever-increasing deployment of various IoT devices,lots of mobile devices and applications needs more stringent requirements on service quality and realtime responsiveness of data processing.geographical a.地理的，地理学的heterogeneous a.混杂的，异质的stringent a.严格的，严厉的e
18、laborate a.精心制作的，详尽的alternative a.选择性的，交替的offload v.卸载，分流analytics n.解析学，分析论Three popular application cases are listed as follows：1)IoT The wide deployment of IoT devices and the increasing commercial demand for real-time data processing and the high quality of service of user experiences urge the c
19、reation of edge computing.Since more and more intelligent devices and sensors are deployed in the IoT environment,data production and consumption are performed and shifted to the edge of network gradually,which also needs elaborate computing technology for real time analytics and pervasive processin
20、g.2)SMART HOME Technologies for better quality life and living conditions have changed human beings lifestyle and lift quality.Deploying various sensors at home and sending collected data to remote cloud data center for processing introduce high risk of private data leakage,data abuse,and physical t
21、hreat to massive local residents.Therefore,the traditional cloud computing based data processing is not suitable for smart home applications,and data privacy preservation enabled edge computing emerges as the perfect alternative to smart home.leakage 泄露abuse 滥用3)SMART CITY City is the place that con
22、sists of many smart homes,which implies that the edge computing paradigm can be extended from family level to city level,i.e.,the smart city.However,since a typical city also produces large volume of public services related data,even the most advanced cloud data centers cant process these data in re
23、al time for city-scale interactive analytics due to the lack of capabilities of computing,storage,and networking.imply If data processing can be offloaded to the edge of the network,it can reduce the pressure of cloud data centers and make it possible for near real time analytics.Moreover,in a smart
24、 city,one of the most important application scenarios is intelligent transportation.Networked traffic sensors and cameras provide perfect platform for edge data processing close to local data source,which makes it possible to solve traffic problems facing the urban residents,from traffic conditions
25、alerts to road conditions prediction.offload 卸下，卸载intelligent 智能的Although the traditional cloud computing technology cannot meet requirements in terms of real-time response,privacy protection,and less energy consumption,the edge computing paradigm is not in essence replacing the cloud computing tech
26、nology.In contrast,the cloud computing and edge computing are complementary and mutually reinforcing each other in many scenarios.Moreover,the edge computing and cloud computing will collaborate in the networked computing environment including scenarios such as IoT,smart city,smart home,industrial i
27、nternet,connected autonomous vehicles,plementary 互补的mutually 相互的reinforce 加强 collaborate 合作，协作autonomous 自治的，自主的The edge computing technology can fully exploit the computing capabilities of the edge devices performing partial or whole computing at the edge devices,and thereby reducing the computing
28、demand of the cloud data centers and the transmission bandwidth of core network.The collaboration of edge computing and cloud computing provides more opportunities for pervasive data analytics in IoT and low latency computing for latency critical applications such as autonomous driving and industria
29、l networked systems.exploit 开发，利用，开拓ollaboration 合作，协作opportunity 机会latency 延迟，时延Edge computing is emerging as one of the strategic technology that will redefine the future computing paradigm for its promise of lower latency,less bandwidth usage and data privacy protection.strategic 战略上的，关键的redefine 重新定义privacy 隐私，秘密
