Method for Estimating Service Delay in Edge and Cloud Computing Architecture

被引：5

作者：

Beshley, Mykola ^{[1
]}

Klymash, Mykhailo ^{[1
]}

Hamal, Myroslav ^{[2
]}

Shkoropad, Yura ^{[1
]}

Branytskyy, Andriy ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine

[2] Lviv Polytech Natl Univ, Coll Telecommun & Comp Technol, 12 Bandery Str, Lvov, Ukraine

来源：

15TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET - 2020) | 2020年

关键词：

Edge computing; cloud computing; delay; MEC; IMS;

D O I：

10.1109/TCSET49122.2020.235570

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In addition to data processing, quality and timely delivery of primary data is essential to the efficient operation of digital technologies. And this requires a reliable infrastructure both in the data center and on the periphery. The essence of technologies of peripheral calculations consists that primary processing of the data is transferred as close as possible to a source of their occurrence. In this case, along with the central cloud data center, compact computing nodes are created that minimize network traffic and reduce delays in data transmission. The future mobile network architecture with implementation of edge computing (EC) and cloud computing (CC) is proposed. This architecture is especially important for improve quality of services by reducing delay. In this article, we will take a fresh look at the concept of cloud and edge computing and propose an approach to solving the problems associated with ensuring low delay for mission critical applications. For this the method for estimating service delay in edge and cloud computing system has been developed.

引用

页码：915 / 919

页数：5

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