Submitted by king4icm on Wed, 01/27/2016 - 10:37
| Title | An Optimized Generic Client Service API for Managing Large Datasets within a Data Repository |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Prabhune, A, Stotzka, R, Jejkal, T, Hartmann, V, Bach, M, Schmitt, E, Hausmann, M, Hesser, J |
| Conference Name | 2015 IEEE First International Conference on Big Data Computing Service and Applications |
| Publisher | IEEE |
| ISBN Number | 978-1-4799-8128-1 |
| Keywords | abstract interface, application program interfaces, biological specimen datasets, biomedical optical imaging, Cache storage, client-server systems, Command Line Tool, Communities, Computer architecture, Data transfer, data warehouses, digital data repository system, download process, GCS API, Generic Client Service (GCS) API, high-resolution images, high-resolution microscopy, ingest process, KIT Data Manager, large dataset management, Large Datasets, Large Scale Data Repository, Localization Microscopy (LM), medical computing, meta data, Metadata, Metadata Management, Microscopy, Nanoscopy, nanoscopy scientific research community, optical microscopy, optimized generic client service API, scientific information systems, scientific research data, Workflow |
| URL | http://ieeexplore.ieee.org/articleDetails.jsp?arnumber=7184863 |
| DOI | 10.1109/BigDataService.2015.25 |
| Citation Key | Prabhune2015 |
