Storlet Engine for Executing Biomedical Processes Within the Storage System

Autor:	Simona Rabinovici-Cohen, John Marberg, Ealan Henis, Kenneth Nagin
Rok vydání:	2015
Předmět:	Database business.industry Computer science Business process Computer security model computer.software_genre Term (time) Object storage Analytics Wide area network Computer data storage Programming paradigm business computer
Zdroj:	Business Process Management Workshops ISBN: 9783319158945 Business Process Management Workshops
DOI:	10.1007/978-3-319-15895-2_6
Popis:	The increase in large biomedical data objects stored in long term archives that continuously need to be processed and analyzed requires new storage paradigms. We propose expanding the storage system from only storing biomedical data to directly producing value from the data by executing computational modules - storlets - close to where the data is stored. This paper describes the Storlet Engine, an engine to support computations in secure sandboxes within the storage system. We describe its architecture and security model as well as the programming model for storlets. We experimented with several data sets and storlets including de-identification storlet to de-identify sensitive medical records, image transformation storlet to transform images to sustainable formats, and various medical imaging analytics storlets to study pathology images. We also provide a performance study of the Storlet Engine prototype for OpenStack Swift object storage.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::66571fdea12afde33675897cb028a0e4 https://doi.org/10.1007/978-3-319-15895-2_6 Zobrazit plný text záznamu