2019
DOI: 10.1515/sbeef-2019-0011
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Innovative Devops for Artificial Intelligence

Abstract: Developing Artificial Intelligence is a labor intensive task. It implies both storage and computational resources. In this paper, we present a state-of-the-art service based infrastructure for deploying, managing and serving computational models alongside their respective data-sets and virtual environments. Our architecture uses key-based values to store specific graphs and datasets into memory for fast deployment and model training, furthermore leveraging the need for manual data reduction in the drafting and… Show more

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Cited by 9 publications
(4 citation statements)
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“…In addition, AI is useful in seeing indicators that cannot be perceived by humans, and early notification and prediction can help teams to acknowledge and fix the problem prior to it can affect SDLC (software development life cycle) [1]. Ciucu et al [16] support that the integration of AI increases the quality of DevOps processes, and AI and DevOps can be integrated by transforming the processing time of DevOps and increasing the quality. ML can enhance the performance of DevOps by reducing inefficiencies in SDLC and automating recurrent tasks.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, AI is useful in seeing indicators that cannot be perceived by humans, and early notification and prediction can help teams to acknowledge and fix the problem prior to it can affect SDLC (software development life cycle) [1]. Ciucu et al [16] support that the integration of AI increases the quality of DevOps processes, and AI and DevOps can be integrated by transforming the processing time of DevOps and increasing the quality. ML can enhance the performance of DevOps by reducing inefficiencies in SDLC and automating recurrent tasks.…”
Section: Resultsmentioning
confidence: 99%
“…The tasks are completed in less time, which lessens the delivery time of the application and increases the end-user satisfaction. Additionally, Ciucu et al [16] propounded that AI integrated with TensorFlow (TF), Caffe, Apache, and Microsoft Cognitive Toolkit in the past few years. Such DevOps deals with environment setup and database management.…”
Section: How Do Ai and Devops Work Together?mentioning
confidence: 99%
“…Devops is well suited for data ingestion and data processing in real time by employing persistent memory databases and fast data schemas. Each unit can be replicated and then purged from the memory while continuous deliv-ering real time support [1,21,22].…”
Section: A Devopsmentioning
confidence: 99%
“…Like all computer networks, security and privacy are primary requirements for IoT too. However, while most of the computer networks have dedicated professional resources to attend their security, the Smart Home is a relatively remote system without dedicated specialized security systems, and with minimal technical knowledge from the house owner [11]. This situation presents several challenges to security and privacy which need to be addressed in order for the Smart Home to be feasible [1], [10].…”
Section: Introductionmentioning
confidence: 99%