Automated Deployment of a Microservice-based Monitoring Infrastructure

Ciuffoletti, Augusto

doi:10.1016/j.procs.2015.09.232

Cited by 31 publications

(14 citation statements)

References 3 publications

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“…The platform may be used by developers to create services for the cloud from the traditional web services. A monitoring system for cloud environments can make use of MSA, by running each monitoring agent as microservices running on containers . The monitoring infrastructure may be invoked on demand.…”

Section: Domain‐specific Microservice‐based Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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Microservice architecture style has been gaining wide impetus in the software engineering industry. Researchers and practitioners have adopted the microservices concepts into several application domains such as the internet of things, cloud computing, service computing, and healthcare. Applications developed in alignment with the microservices principles require an underlying platform with management capabilities to coordinate the different microservice units and ensure that the application functionalities are delivered to the user. A multitude of approaches has been proposed for the various tasks in microservices-based systems. However, since the field is relatively young, there is a need to organize the different research works. In this study, we present a comprehensive review of the research approaches directed toward microservice architectures and propose a multilevel taxonomy to categorize the existing research. The study also discusses the different distributed computing paradigms employing microservices and identifies the open research challenges in the domain.

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Section: Domain‐specific Microservice‐based Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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“…The definition of a simple model of the monitoring infrastructure that provides an interface between the user and the cloud management system is presented in [24]. The interface follows the guidelines of Open Cloud Computing Interface (OCCI), the cloud interface standard proposed by the Open Grid Forum.…”

Section: Microservice Based Applications In Iot and Wsn Systemsmentioning

confidence: 99%

Approach in the development of lightweight microservice architecture for small data center monitoring system

Malić¹,

Dobrilovic²,

Malić³

et al. 2020

IJEEC

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In the past decade there is a significant trend of implementing IoT technologies and standards in different industries. This trend brings cost reductions to the companies and other benefits as well. One of the main benefits is real-time and uniform data collection. The data are transferred using diverse communication protocols, from the sensor nodes to the centralized application. So far, current approaches in developing applications are not proved itself to be efficient enough in scenarios when a significant amount of data needs to be stored and analyzed. The focus of this paper is on development of software architecture suitable for usage in Internet of Things (IoT) systems where the larger amount of data can be processed in real-time. The software architecture is developed in order to support the sensor network for monitoring the small data center and it is based on microservices. Besides the system and its architecture, this paper presents the method of analysis of system performances in real-time environment. The proposal for lightweight microservice architecture, presented in this paper, is developed with .NET Core and RabbitMQ, with the utilization of MongoDB and SQLite databases systems for storing data collected with IoT devices. In this paper, the system evaluation and research results in different stress scenarios are also presented. Because of its complexity, only the most significant segments of architecture will be presented in this paper. The proposed solution showed that proposed lightweight architecture based on microservices could deal with the larger amount of sensor data in the case of using MongoDB. On the other hand, the usage of SQLite database is not recommended due to the lower performances and test results.

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“…Containers will hold only the necessary binaries required by any application to run [6]. Containers possess packaged, ready to deploy applications or parts of applications, and if necessary middleware and business logic to run those applications [7]. Figures 1 and 2 shows the two different virtualization architectures [8].…”

Section: Researchmentioning

confidence: 99%

Exploring the support for high performance applications in the container runtime environment

Martin

Kandasamy

Chandrasekaran

2018

Hum. Cent. Comput. Inf. Sci.

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IntroductionCloud computing is being used for innumerable applications these days. The end-users vary from naive clients to expertised technicians. Cloud is a pool of resources shared among number of users [1]. Presently, in the world of cloud computing, it is the era of XaaS (Anything-as-a-Service) which means that the providers offer a wide variety of services [2,3]. One of the most recent services provided through the cloud is high performance computing (HPC) environments for the complex applications. Virtualization is the technology which enables users to share a single entity among a group of users. AbstractCloud computing is the driving power behind the current technological era. Virtualization is rightly referred to as the backbone of cloud computing. Impacts of virtualization employed in high performance computing (HPC) has been much reviewed by researchers. The overhead in the virtualization layer was one of the reasons which hindered its application in the HPC environment. Recent developments in virtualization, especially the OS container based virtualization provides a solution that employs a lightweight virtualization layer and promises lesser overhead. Containers are advantageous over virtual machines in terms of performance overhead which is a major concern in the case of both data intensive applications and compute intensive applications. Currently, several industries have adopted container technologies such as Docker. While Docker is widely used, it has certain pitfalls such as security issues. The recently introduced CoreOS Rkt container technology overcomes these shortcomings of Docker. There has not been much research on how the Rkt environment is suited for high performance applications. The differences in the stack of the Rkt containers suggest better support for high performance applications. High performance applications consist of CPU-intensive and data-intensive applications. The High Performance Linpack Library and the Graph500 are the commonly used computation intensive and data-intensive benchmark applications respectively. In this work, we explore the feasibility of this inter-operable Rkt container in high performance applications by running the HPL and Graph500 applications and compare its performance with the commonly used container technologies such as LXC and Docker containers. Martin et al. Hum. Cent. Comput. Inf. Sci. (2018) Hum. Cent. Comput. Inf. Sci. (2018) 8:1 Based on the position of the virtualization layer, virtualization can be of different types like full virtualization, paravirtualization and OS level virtualization. RESEARCHTraditional HPC clusters are composed of many separate dedicated servers called nodes and may be shared among different organizations. The requirements of each user or organization will be different, which demands the creation of customized environments without affecting others. This is not an easy task in traditional HPC systems. As a solution for this, virtualization was adopted for HPC. Virtualization materializes the task by creating s...

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Automated Deployment of a Microservice-based Monitoring Infrastructure

Cited by 31 publications

References 3 publications

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Approach in the development of lightweight microservice architecture for small data center monitoring system

Exploring the support for high performance applications in the container runtime environment

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