Location and Context-Based Microservices for Mobile and Internet of Things Workloads

Bak, Peter; Melamed, Roie; Moshkovich, Dany; Nardi, Yuval; Ship, Harold J.; Yaeli, Avi

doi:10.1109/mobserv.2015.11

Cited by 22 publications

(8 citation statements)

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“…Advantages of using a microservices architecture with respect to monolithic development for web applications have also been investigated . Location and context‐based microservices for mobile and IoT workloads have been proposed as well . Similarly, an algorithm that manages heterogeneity of services by allocating and distributing them according to the principles of osmosis across fog and edge layers has been proposed in the work of Sharma et al…”

Section: Related Workmentioning

confidence: 99%

An osmotic computing infrastructure for urban pollution monitoring

2019

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Summary Urban pollution control systems suffer from the presence of fixed stations in a greater number than mobile monitoring devices. Data gathered from such stations provide detailed and reliable information, thanks to equipment quality and effective measuring protocols, but these sampled data are gathered from very limited areas and through discontinuous monitoring campaigns. Fortunately, the spread of technologies for mobility has fostered the development of new approaches like mobile crowdsensing (MCS), increasing the chances of using mobile devices, even personal ones, as suitable sensors for the urban monitoring scenario. Nevertheless, one of the open challenges is the management of integrated heterogeneous data flows, differing in terms of typology, technical specifications (eg, transmission protocols), and semantics. The osmotic computing paradigm aims at creating an abstract level between mobile devices/Internet‐of‐Things devices and a cloud platform, which enables opportunistic filtering and the addition of metadata for improving the data processing flow. This work focuses on the design and development of a middleware that integrates data coming from mobile and Internet‐of‐Things devices specifically deployed in urban contexts using the osmotic computing paradigm. Moreover, a component of the osmotic membrane has been developed for security management.

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Section: Related Workmentioning

confidence: 99%

An osmotic computing infrastructure for urban pollution monitoring

2019

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“…An anomaly detection service is foreseen by Bak et al. too, in their MSA for context‐based applications .…”

Section: Related Workmentioning

confidence: 99%

Testing microservice architectures for operational reliability

Pietrantuono

Russo

Guerriero

2019

Software Testing Verif & Rel

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Summary Microservice architectures (MSA) is an emerging software architectural paradigm for service‐oriented applications, well‐suited for dynamic contexts requiring loosely coupled independent services, frequent software releases and decentralized governance. A key problem in the engineering of MSA applications is the estimate of their reliability, which is difficult to perform prior to release due frequent releases/service upgrades, dynamic service interactions, and changes in the way customers use the applications. This paper presents an in vivo testing method, named EMART, to faithfully assess the reliability of an MSA application in operation. EMART is based on an adaptive sampling strategy, leveraging monitoring data about microservices usage and failure/success of user demands. We present results of evaluation of estimation accuracy, confidence and efficiency, through a set of controlled experiments with publicly available subjects. © 2019 John Wiley & Sons, Ltd.

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“…We have implemented micro services in spring boot technology. A service discovery component called Eureka [9], [14] is used to register and discover the micro services running. This is similar to the other API gateways like Kong or Apigee which are available in the market.…”

Section: Related Work: Research Projectmentioning

confidence: 99%

Comparison of Event Choreography and Orchestration Techniques in Microservice Architecture

Rudrabhatla¹

2018

ijacsa

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Abstract-MicroserviceArchitecture (MSA) is an architectural design pattern which was introduced to solve the challenges involved in achieving the horizontal scalability, high availability, modularity and infrastructure agility for the traditional monolithic applications. Though MSA comes with a large set of benefits, it is challenging to design isolated services using independent Database per Service pattern. We observed that with each micro service having its own database, when transactions span across multiple services, it becomes challenging to ensure data consistency across databases, particularly in case of roll backs. In case of monolithic applications using RDBMS databases, these distributed transactions and roll backs can be handled efficiently using 2 phase commit techniques. These techniques cannot be applied for isolated No-SQL databases in micro services. This research paper aims to address three things: 1) elucidate the challenges with distributed transactions and rollbacks in isolated No-SQL databases with dependent collections in MSA, 2) examine the application of event choreography and orchestration techniques for the Saga pattern implementation, and 3) present the fact-based recommendations on the saga pattern implementations for the use cases.

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Location and Context-Based Microservices for Mobile and Internet of Things Workloads

Cited by 22 publications

References 0 publications

An osmotic computing infrastructure for urban pollution monitoring

An osmotic computing infrastructure for urban pollution monitoring

Testing microservice architectures for operational reliability

Comparison of Event Choreography and Orchestration Techniques in Microservice Architecture

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