AWS Lambda Language Performance
| dc.contributor.author | Hosseini, Mehrshad | |
| dc.contributor.author | Sahragard, Omid | |
| dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
| dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
| dc.date.accessioned | 2019-11-12T13:14:56Z | |
| dc.date.available | 2019-11-12T13:14:56Z | |
| dc.date.issued | 2019-11-12 | |
| dc.description.abstract | Cloud services are experiencing expansive growth, and the potential uses cases for its application in the IT sector is becoming increasingly widespread. This rapid growth is accompanied by a demand for performance which necessitates systematic benchmarking. The process of setting up a cloudbased benchmark is tedious and obstructive. Therefore, frequent benchmarks must be conducted in order to inform individuals from practitioners to hobbyists alike. Amazon Web Services is a major market leader in cloud computing which offers a Function as a Service platform named AWS Lambda. The following will conduct a benchmark on the Lambda platform and its supported languages: C#, Java, Node.js, and Python. The benchmark will examine the performance of the respective languages with relation to workload input size when configured to three different memory sizes: 128, 512, and 1024MB. The results presented reveal languages such as Java and C# consistently outperform the other languages with C# being the most performant when configured to 128 and 1024MB. All languages experienced a performance increase in tandem with increasing memory size. | sv |
| dc.identifier.uri | http://hdl.handle.net/2077/62454 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.subject | cloud computing | sv |
| dc.subject | AWS Lambda | sv |
| dc.subject | cloud performance | sv |
| dc.subject | benchmark testing | sv |
| dc.subject | Function as a Service | sv |
| dc.subject | Faa | sv |
| dc.title | AWS Lambda Language Performance | sv |
| dc.type | text | |
| dc.type.degree | Student essay | |
| dc.type.uppsok | M2 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- gupea_2077_62454_1.pdf
- Size:
- 547.21 KB
- Format:
- Adobe Portable Document Format
- Description:
- CSE Group 4 - Hosseini & Sahragard
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 876 B
- Format:
- Item-specific license agreed upon to submission
- Description: