A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
RADON: rational decomposition and orchestration for serverless computing
2019
SICS Software-Intensive Cyber-Physical Systems
Preserved Fulltext
In this vision paper, we present the research agenda of the RADON project (http://radon-h2020.eu), which aims to develop a model-driven DevOps framework for creating and managing applications based on ...
Emerging serverless computing technologies, such as function as a service (FaaS), enable developers to virtualize the internal logic of an application, simplifying the management of cloud-native services ...
This is a richer setting compared to that of a traditional methodology, as one can envision different life cycles for serverless functions, microservices and data pipelines. ...
doi:10.1007/s00450-019-00413-w
fatcat:q7mf6hhc7jauxfngrg57tjks7a
Performance Engineering for Microservices and Serverless Applications: The RADON Approach - Artifacts
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Artifacts for the tutorial on "Performance Engineering for Microservices and Serverless Applications: The RADON Approach", presented at the 11th ACM/SPEC International Conference on Performance Engineering ...
Challenge: runtime operations and delivery • How to deliver in DevOps fashion hybrid serverless-based applications? • How to abstract events in multi-cloud environments? ...
for Runtime Resource Management of Microservices Challenges -LQN Modeling • In-house application? ...
doi:10.5281/zenodo.3670013
fatcat:dre3pywaubb6zb62w2pwwlndkq
IMPLEMENTATION OF DEVOPS PARADIGM TO DEPLOYMENT AND PROVISIONING OF MICROSERVICES
2021
Issues in Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Amazon Web Services (AWS) Serverless architecture is used for the deployment of microservices using AWS Elastic Container Service. ...
This paper describes how to incorporate some widely used DevOps tools for the deployment of micro-services. ...
Most of the serverless tools can be conFigd as a code, and therefore are useful for DevOps practices. ...
doi:10.48009/1_iis_2021_136-148
fatcat:4snv5jmmd5dbrdpfkxzqej7bku
Anomaly Detection in a Large-scale Cloud Platform
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
After running the system for a year, we observed that the proposed solution frees the DevOps team's time and human resources from manually monitoring thousands of Cloud components. ...
To address the challenge, we designed and implemented an automated monitoring system for the IBM Cloud Platform. ...
Our challenges Maintaining an adequate response time of IBM Cloud Platform/Console application components is crucial for the DevOps teams. ...
arXiv:2010.10966v2
fatcat:l6moyl3z3jfhfgr7wmrs4sckhq
Quality-Aware DevOps research: where do we stand?
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our analysis also outlines possible directions for future work in quality-aware DevOps, looking in particular at AI for DevOps and DevOps for AI software. ...
A significant volume of activity has been carried out in recent years with the aim of coupling DevOps stages with tools and methods to improve the quality of the produced software and the underpinning ...
For this reason, quality assurance in DevOps is often a synonym of continuous functional testing methods to check the correctness of application prior to deployment. ...
doi:10.1109/access.2021.3064867
fatcat:3jceiw4mifgy7i7hu6vvleryjm
Developing Self-Adaptive Microservice Systems: Challenges and Directions
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance application as a motivating example. ...
It also suggests potential new directions for addressing most of the identified challenges by leveraging existing microservice practices and technologies. ...
This operation could be useful to implement a canary release pipeline for each of the video surveillance services. ...
arXiv:1910.07660v2
fatcat:tdxseu3vsffw7i24tnkcqp5p3y
CTT
2022
Companion of the 2022 ACM/SPEC International Conference on Performance Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We demonstrate CTT's workflow, its architecture, as well as its application to DevOps-oriented load testing and load testing of data pipelines. ...
CTT employs the OASIS TOSCA Standard to enable end-to-end support for continuous testing of cloud-based applications. ...
We thank Andrea Janes from the Free University of Bozen-Bolzano for his support in integrating CTT with PPTAM. ...
doi:10.1145/3491204.3527484
fatcat:gl44mku6rngpzailrb7frvue4u
Reproducible and Portable Big Data Analytics in the Cloud
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The first is how to automate end-to-end execution of analytics including environment provisioning, analytics pipeline description, pipeline execution and resource termination. ...
To tackle these problems, we leverage serverless computing and containerization techniques for automatic scalable execution and reproducibility, and utilize the adapter design pattern to enable application ...
Each component in the application pipeline is implemented as a serverless function and triggered by the events it listens to. ...
arXiv:2112.09762v2
fatcat:zbrlopjvkrhm5ho5mm5zpv2ryu
Understanding the Context of IoT Software Systems in DevOps
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
) perceived pipeline for this kind of software development. ...
We rely on a Systematic Literature Review to investigate the relations of DevOps in IoT software systems. ...
Often, the beginning of a DevOps implementation is the application of an automated CI/CD pipeline (Continuous Integration and Delivery). ...
arXiv:2104.10147v2
fatcat:mg5ghqmrpvht7an67tvv3n6wue
Towards a Serverless Platform for Edge AI
2019
USENIX Workshop on Hot Topics in Edge Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This paper proposes a serverless platform for building and operating edge AI applications. ...
Furthermore, we demonstrate the limitations of current serverless function schedulers, and present the current state of our prototype. ...
Through experimental analysis we uncover some of the major limitations of current state-of-the-art serverless platforms for supporting edge AI applications, and then present our approach for building a ...
dblp:conf/hotedge/RauschHMRD19
fatcat:5fqfny6byzgllp66ttmurr4fea
QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Recent breakthroughs in quantum hardware are creating opportunities for its use in many applications. ...
To alleviate these challenges, we propose QFaaS, a novel Quantum Function-as-a-Service framework, which leverages the advantages of the serverless model and the state-of-the-art software engineering approaches ...
Inspired by the advantages of the Serverless and DevOps models, combined with the Quantum Cloud Computing paradigm, we have designed and implemented QFaaS with a set of essential features for creating ...
arXiv:2205.14845v1
fatcat:c7gw6ns355g7bcwdrlkzozy3ji
On the Future of Cloud Engineering
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
advances, and identify both the inherent technical challenges and research opportunities for the future of cloud computing in general and cloud engineering in particular. ...
offerings, developer productivity enhancement tools, and new application classes as well as the manifestation of cloud functionality closer to the user at the edge. ...
use a DevOps model [13] . ...
arXiv:2108.08685v1
fatcat:mlalfa657zbappkvl3i2cyionu
Automated Data-Ops for Community-Driven Flood Monitoring
2022
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We discuss the challenges and efforts of setting data pipelines for a community-driven monitoring network in Brazil. ...
Automation through DataOps might facilitate the development and operation of heterogeneous data flows. However, its implementation implies a steep learning curve and requirements difficult to meet. ...
Implementing DevOps for citizen science stands as a novel contribution that implies a critical review of data flows and the potential evolution of data integration within community-led projects. ...
doi:10.5281/zenodo.6408410
fatcat:ywd3362dqrakxmuik5daxln2fa
Integration of DevOps practices on a noise monitor system with CircleCI and Terraform
2022
ACM Transactions on Management Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The aim of this paper is to document the implementation of some DevOps practices such as IaC, continuous integration and deployment, code quality control and collaboration on a noise monitor system to ...
The final result is a set of automated pipelines which represents the entire integration and deployment cycle of the software integrated with platforms to improve quality and maintainability of the software ...
One of the latest implementations of WSN in 2020 is [27] where the application of a Wireless Acoustic Sensor Network is proposed for the long-term analysis of psychoacoustic parameters of the acoustic ...
doi:10.1145/3505228
fatcat:swwrsgf3ozhh5jooctwyiewfim
Serverless on FHIR: Deploying machine learning models for healthcare on the cloud
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We call this architecture Serverless on FHIR and propose this as a standard to deploy digital health applications that can be consumed by downstream systems such as EMRs and visualization tools. ...
Machine Learning (ML) plays a vital role in implementing digital health. The advances in hardware and the democratization of software tools have revolutionized machine learning. ...
The uniform format of the input and output allows the chaining of ML models as a pipeline. ...
arXiv:2006.04748v1
fatcat:ivk2yffpynbkndbjry7av5ma3m
« Previous
Showing results 1 — 15 out of 148 results