DelveFS - An Event-Driven Semantic File System for Object Stores
- Publikationstyp:
- Konferenzbeitrag
- Metadaten:
-
- Autoren
- Marc-Andre Vef
- Rebecca Steiner
- Reza Salkhordeh
- Joerg Steinkamp
- Florent Vennetier
- Jean-Francois Smigielski
- Andre Brinkmann
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000698696500004&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1109/CLUSTER49012.2020.00014
- Externe Identifier
- Clarivate Analytics Document Solution ID: BS2BB
- ISSN
- 1552-5244
- Zeitschrift
- 2020 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2020)
- Paginierung
- 35 - 46
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Titel
- DelveFS - An event-driven semantic file system for object stores
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Autoren
- Marc-Andre Vef
- Rebecca Steiner
- Reza Salkhordeh
- Jorg Steinkamp
- Florent Vennetier
- Jean-Francois Smigielski
- Andre Brinkmann
- DOI
- 10.1109/cluster49012.2020.00014
- Conference finish date
- 2020
- Zeitschrift
- 2020 IEEE International Conference on Cluster Computing (CLUSTER)
- Name of conference
- 2020 IEEE International Conference on Cluster Computing (CLUSTER)
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Herausgeber
- IEEE
- Herausgeber URL
- http://dx.doi.org/10.1109/cluster49012.2020.00014
- Datum der Datenerfassung
- 2022
- Conference start date
- 2020
- Titel
- DelveFS - An Event-Driven Semantic File System for Object Stores
Datenquelle: Crossref
- Autoren
- Marc-André Vef
- Rebecca Steiner
- Reza Salkhordeh
- Jörg Steinkamp
- Florent Vennetier
- Jean-François Smigielski
- André Brinkmann
- ISBN-13
- 978-1-7281-6677-3
- Zeitschrift
- CLUSTER
- Paginierung
- 35 - 46
- Datum der Veröffentlichung
- 2020
- Herausgeber
- IEEE
- Herausgeber URL
- https://ieeexplore.ieee.org/xpl/conhome/9229475/proceeding
- Titel
- DelveFS - An Event-Driven Semantic File System for Object Stores.
Datenquelle: DBLP
- Abstract
- Data-driven applications are becoming increasingly important in numerous industrial and scientific fields, growing the need for scalable data storage, such as object storage. Yet, many data-driven applications cannot use object interfaces directly and often have to rely on third-party file system connectors that support only a basic representation of objects as files in a flat namespace. With sometimes millions of objects per bucket, this simple organization is insufficient for users and applications who are usually only interested in a small subset of objects. These huge buckets are not only lacking basic semantic properties and structure, but they are also challenging to manage from a technical perspective as object store file systems cannot cope with such directory sizes. DelveFS is the first object store file system that solves this challenge by offering the ability to compose a custom semantic file system that allows multiple unique views onto the object store. Through flexible filters, users can specify each view's content, tailored to their unique interests or an application's requirements. By processing object store events which describe changes in the object store, DelveFS is able to keep all views eventually consistent. DelveFS allows to operate concurrently through the object and file system interfaces on the same set of objects, delivering similar file system throughput compared to the native object store interfaces or other file system connectors. DelveFS is the first object store file system that solves this challenge by offering the ability to compose a custom semantic file system that allows multiple unique views onto the object store. Through flexible filters, users can specify each view's content, tailored to their unique interests or an application's requirements. By processing object store events which describe changes in the object store, DelveFS is able to keep all views eventually consistent. DelveFS allows to operate concurrently through the object and file system interfaces on the same set of objects, delivering similar file system throughput compared to the native object store interfaces or other file system connectors.
- Autoren
- Marc-Andre Vef
- Rebecca Steiner
- Reza Salkhordeh
- Jorg Steinkamp
- Florent Vennetier
- Jean-Francois Smigielski
- Andre Brinkmann
- Autoren-URL
- https://seafile.rlp.net/f/fb15dc6a61cf44838823/
- DOI
- 10.1109/cluster49012.2020.00014
- Conference finish date
- 2020
- ISBN-13
- 978-1-7281-6677-3
- Zeitschrift
- 2020 IEEE International Conference on Cluster Computing (CLUSTER)
- Name of conference
- 2020 IEEE International Conference on Cluster Computing (CLUSTER)
- Paginierung
- 35 - 46
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Herausgeber
- IEEE
- Datum der Datenerfassung
- 2021
- Conference start date
- 2020
- Titel
- DelveFS - An Event-Driven Semantic File System for Object Stores
Datenquelle: Manual
- Beziehungen:
- Eigentum von