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5 results for “Serverless Computing”
Leveraging Serverless Computing for Continuous Integration and Delivery
<p>This work has been a first implementation of the usage of AWS Lambda for running CI/CD tasks. This has been implemented in TeamCity, a CI/CD tool by JetBrains. We investigated the possible solutions for using AWS Lambda for running CI/CD tasks, but also did a depth analysis on how it compares to Amazon ECS for running CI/CD tasks.</p> <p>We were able to understand that there are CI/CD tasks that can be optimised by making use of FaaS. These tasks must be able to be executed in under 15 minutes (or be splittable into 15 minutes tasks), and would benefit more if they're either a high throughput of tasks in a small period of time, or very little executions over time. These tasks will benefit from both a higher performance and cost efficiency.</p> <p>This package includes: </p> <ul> <li>TeamCity Backup - backup with all of the CI/CD configurations used for these experiments. It is important to mention that the replication of these experiments does require a license for TeamCity and to apply a new connection to AWS;</li> <li>Tasks Performance tests - all of the results obtained during the experiments led to our conclusions.</li> </ul>
Survey and Interview Data from Mixed-Method Survey of Serverless Computing and Function-as-a-Service Software Development in Industrial Practice
<p>This dataset contains the almost-raw data resulting from two out of the three methods chosen by the researchers for their namesake study «A Mixed-Method Empirical Study of Function-as-a-Service Software Development in Industrial Practice». Among the files are web survey questions, anonymised survey results, and interview guidelines. We encourage other researchers to perform open coding and other analysis techniques on the data to verify our claims and to generate new insights.</p>
Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads
<p>Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads</p> <p>Please see the README for information on parsing and data structure.<br> Some of the data might need additional explanations. In case of confusion don't hesitate to contact me under jacob.palecek@outlook.com</p>
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
<p>This upload contains the software prototype, data, analysis scripts, and replication scripts for the paper "SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing" (ACM/IFIP Middleware 2021).</p> <p>With our artifact we provide the following components:</p> <ul> <li> <p><code>serverless-benchmarks</code> - source code of the benchmark suite</p> </li> <li> <p><code>data</code> - benchmarking results obtained for the paper</p> </li> <li> <p><code>analysis</code> - Python plotting and analysis scripts used for data analysis</p> </li> <li> <p><code>experiments</code> - scripts helping to reproduce the experiments</p> </li> <li> <p><code>docker</code> - compressed Docker images that were used for our experiments.</p> </li> </ul> <p>Our data has been obtained in January 2020, July and August 2020, and November 2020.</p>
A Systematic Review on Security Mechanisms for Serverless Computing
<p>This dataset was collected as part of developing and writing a systematic review on security mechanisms for Serverless Computing related to the article "A Systematic Review on Security Mechanisms for Serverless Computing." The considered articles were searched on the fifth of July 2024 and were limited to works published from 2018 forward, inclusively. The dataset comprises 3 CSV files, one with the final included articles and the other two with the excluded articles in each phase of the Screening process. The first line of each file has the titles of each column. For more details regarding the dataset contents, please refer to the README.md.</p>
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