Advanced resource allocation and Service level monitoring for container orchestration platform

被引：1

作者：

Kandan, Rajendar ^{[1
]}

Khalid, Mohammad Fairus ^{[1
]}

Ismail, Bukhary Ikhwan ^{[1
]}

Hoe, Ong Hong ^{[1
]}

机构：

[1] MIMOS, Dept Adv Comp Lab, Kuala Lumpur, Malaysia

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON SENSORS AND NANOTECHNOLOGY (SN) | 2019年

关键词：

container orchestration; resource scheduling;

D O I：

10.1109/sensorsnano44414.2019.8940058

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

Containerization becomes the first choice for faster deployment of application. Lightweight and instant start of containers find its place across various domains including big data and cloud. Due to this wide range in heterogeneity of resources, the orchestration framework is required for the management of containers. Resource selection becomes one of the major challenges in such environment. Although various open-source orchestration available in market for addressing the management of containers across varied platform, they provide only a basic scheduling scheme. In this paper, we highlighted various factors affecting the resource selection and proposed an architecture of resource-aware placement and SLA (Service Level Agreement) based monitoring which provides advanced scheduling and minimizes container migration.

引用

页码：145 / 148

页数：4

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