Cookery: A Framework for Creating Data Processing Pipeline Using Online Services
| Autor: | Adam Belloum, Mikolaj Baranowski, Reginald Cushing, Onno Valkering |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
Data processing Third party business.industry Computer science General Engineering Cloud computing 02 engineering and technology computer.software_genre Pipeline (software) World Wide Web Pipeline transport Work (electrical) Function-as-a-service (FaaS) serverless computing AWS Lambda 0202 electrical engineering electronic engineering information engineering domain specific languages (DSL) Web service business computer |
| Zdroj: | Computing and Informatics COMPUTING AND INFORMATICS; Vol. 39 No. 4 (2020): Computing and Informatics; 678–694 |
| ISSN: | 1335-9150 2585-8807 |
| DOI: | 10.31577/cai_2020_4_678 |
| Popis: | With the increasing amount of data the importance of data analysis in various scientific domains has grown. A large amount of the scientific data has shifted to cloud based storage. The cloud offers storage and computation power. The Cookery framework is a tool developed to build scientific applications using cloud services. In this paper we present the Cookery systems and how they can be used to authenticate and use standard online third party services to easily create data analytic pipelines. Cookery framework is not limited to work with standard web services; it can also integrate and work with the emerging AWS Lambda which is part of a new computing paradigm, collectively, known as serverless computing. The combination of AWS Lambda and Cookery, which makes it possible for users in many scientific domains, who do not have any program experience, to create data processing pipelines using cloud services in a short time. |
| Databáze: | OpenAIRE |
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