دانلود رایگان مقاله انگلیسی چشم اندازها در تکنولوژی های لبه: مه، ابرکوچک، لبه های موبایل و مراکز میکرو داده - الزویر 2018

ABSTRACT

Advancements in smart devices, wearable gadgets, sensors, and communication paradigm have enabled the vision of smart cities, pervasive healthcare, augmented reality and interactive multimedia, Internet of Every Thing (IoE), and cognitive assistance, to name a few. All of these visions have one thing in common, i.e., delay sensitivity and instant response. Various new technologies designed to work at the edge of the network, such as fog computing, cloudlets, mobile edge computing, and micro data centers have emerged in the near past. We use the name “edge computing” for this set of emerging technologies. Edge computing is a promising paradigm to offer the required computation and storage resources with minimal delays because of “being near” to the users or terminal devices. Edge computing aims to bring cloud resources and services at the edge of the network, as a middle layer between end user and cloud data centers, to offer prompt service response with minimal delay. Two major aims of edge computing can be denoted as: (a) minimize response delay by servicing the users‟ request at the network edge instead of servicing it at far located cloud data centers, and (b) minimize downward and upward traffic volumes in the network core. Minimization of network core traffic inherently brings energy efficiency and data cost reductions. Downward network traffic can be minimized by servicing set of users at network edge instead of service provider‟s data centers (e.g., multimedia and shared data) Content Delivery Networks (CDNs), and upward traffic can be minimized by processing and filtering raw data (e.g., sensors monitored data) and uploading the processed information to cloud. This survey presents a detailed overview of potentials, trends, and challenges of edge computing. The survey illustrates a list of most significant applications and potentials in the area of edge computing. State of the art literature on edge computing domain is included in the survey to guide readers towards the current trends and future opportunities in the area of edge computing.

CONCLUSIONS

This survey discussed in detail the emerging technologies and the state-of-the-art in edge computing and its various applications. With the multifold increase in IoT enabled devices and their applications, especially those that require near real-time response, the traditional cloud computing paradigm faces numerous challenges in terms of latency, scalability, and computation. The cloud data centers are deployed at far places due to which response time could be a few milliseconds to few seconds. Moreover, the user application may be generating large volumes of data to be sent to cloud that may cause significant overhead on backbone network. Edge computing is solution to the aforementioned problems, as it brings the computational and storage resources closer to the end user devices, and reduce burden on cloud. The edge computing technologies discussed in the survey are: fog, cloudlets, micro datacenters, and mobile edge. The aforementioned technologies have some basic differences, but they are all based on the same idea having similar objectives, i.e., to bring the computation and storage resources at the edge of the network near the end users. As a key contribution, a comprehensive list of the potentials, applications, architectures, and evaluations are also presented in the survey, along with the state of the art in the aforementioned. In the end, some of current challenges of edge computing are discussed.