Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Fogstore : Toward a distributed data store for fog computing

Title data

Mayer, Ruben ; Gupta, Harshit ; Saurez, Enrique ; Ramachandran, Umakishore:
Fogstore : Toward a distributed data store for fog computing.
In: 2017 IEEE Fog World Congress (FWC). - Piscataway, NJ : IEEE , 2017
ISBN 978-1-5386-3666-4
DOI: https://doi.org/10.1109/FWC.2017.8368524

Abstract in another language

Stateful applications and virtualized network functions (VNFs) can benefit from state externalization to increase their reliability, scalability, and inter-operability. To keep and share the externalized state, distributed data stores (DDSs) are a powerful tool allowing for the management of classical trade-offs in consistency, availability and partitioning tolerance. With the advent of Fog and Edge Computing, stateful applications and VNFs are pushed from the data centers toward the network edge. This poses new challenges on DDSs that are tailored to a deployment in Cloud data centers. In this paper, we propose two novel design goals for DDSs that are tailored to Fog Computing: (1) Fog-aware replica placement, and (2) context-sensitive differential consistency. To realize those design goals on top of existing DDSs, we propose the FogStore system. FogStore manages the needed adaptations in replica placement and consistency management transparently, so that existing DDSs can be plugged into the system. To show the benefits of FogStore, we perform a set of evaluations using the Yahoo Cloud Serving Benchmark.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems > Chair Data Systems - Univ.-Prof. Dr. Ruben Mayer
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 25 Apr 2023 12:37
Last Modified: 05 Feb 2024 07:41
URI: https://eref.uni-bayreuth.de/id/eprint/76024