Model transformations of MapReduce Design Patterns for automatic development and verification

Amato, Flora; Moscato, Francesco

doi:10.1016/j.jpdc.2016.12.017

Cited by 16 publications

(2 citation statements)

References 33 publications

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“…Flora Amato and Francesco Moscato [1] present the importance of mapping frameworks to Cloud Architecture due to the necessity of managing big data and large data sets as quickly and as reliably as possible. New frameworks, algorithms and architectures are being used to optimize and improve performance in various fields, for a wide range of users, from big companies to small ones, or public utilities.…”

Section: State Of the Artmentioning

confidence: 99%

Design Patterns and Electric Vehicle Charging Software

et al. 2020

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The development and maintenance of complex software systems, with ever-changing requirements has benefited from the implementation of design patterns, which ensure a higher degree of maintainability. The present article illustrates the essential role of design patterns in sketching the software architecture for an electric vehicle charging management platform. We have integrated a series of design patterns to create a solid base structure for the API (Application Programming Interface). Furthermore, we have explored cloud design patterns in the deployment process to ensure a proper multi-tenant cloud application with the best possible tenant isolation for the cost. The aim of this paper is to offer readers an introduction in the case study theme, to describe a complex platform development through design patterns. With proper examples from real projects debated in the industry. The paper demonstrates the design patterns applicability from software level to cloud resources plan and advocates for a high-quality solution in every segment of project development. In conclusion, the results are promising, and the functionality of the established methods on this type of platforms will be evaluated during the implementation period. Overall, design patterns have proven to be essential in the development process, ensuring effective team communication and the delivery of qualitative software solutions.

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Section: State Of the Artmentioning

confidence: 99%

Design Patterns and Electric Vehicle Charging Software

et al. 2020

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“…These technologies are also interesting considering the possible application of cloud algorithms, allowing better distribution of computation complexity over the network, reducing load while increasing service opportunities for the nodes [3,4,5].…”

Section: Introductionmentioning

confidence: 99%

RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features (S)

Balzano¹,

Vitale²

2018

International Conferences on Distributed Multimedia Systems

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Vehicle-2-Vehicle is an emerging and interesting field of research area due to the several possible application in IoT and self-driving vehicles. It allows communication between vehicles, allowing them to share information about traffic and road conditions. Road accidents are nowadays one of the major causes of casualties worldwide, and therefore increasing road safety is very important. In this paper we present RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features, a methodology which uses V2V and car distances in order to warn users of incoming dangers on the road, such as road blocks or existing accidents.

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ACOp: An Algorithm Based on Ant Colony Optimization for Parking Slot Detection

Balzano

Stranieri

2019

Advances in Intelligent Systems and Computing

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Model transformations of MapReduce Design Patterns for automatic development and verification

Cited by 16 publications

References 33 publications

Design Patterns and Electric Vehicle Charging Software

Design Patterns and Electric Vehicle Charging Software

RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features (S)

ACOp: An Algorithm Based on Ant Colony Optimization for Parking Slot Detection

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