DocumentCode :
628230
Title :
DATAFLASKS: An epidemic dependable key-value substrate
Author :
Maia, Francisco ; Matos, Miguel ; Vilaca, Ricardo ; Pereira, J. ; Oliveira, Renato ; Riviere, Etienne
Author_Institution :
High Assurance Software Lab., UMinho, Braga, Portugal
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Recently, tuple-stores have become pivotal structures in many information systems. Their ability to handle large datasets makes them important in an era with unprecedented amounts of data being produced and exchanged. However, these tuple-stores typically rely on structured peer-to-peer protocols which assume moderately stable environments. Such assumption does not always hold for very large scale systems sized in the scale of thousands of machines. In this paper we present a novel approach to the design of a tuple-store. Our approach follows a stratified design based on an unstructured substrate. We focus on this substrate and how the use of epidemic protocols allow reaching high dependability and scalability.
Keywords :
data communication; peer-to-peer computing; protocols; storage management; DATAFLASKS; dataset handling; epidemic dependable key value substrate; epidemic protocol; information system; peer-to-peer protocol; stratified design; tuple store; unstructured substrate; Distributed databases; Large-scale systems; Libraries; Peer-to-peer computing; Protocols; Scalability; Substrates; Dependability; Distributed Systems; Epidemic Protocols; Large Scale Data Stores;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
Conference_Location :
Budapest
ISSN :
1530-0889
Print_ISBN :
978-1-4673-6471-3
Type :
conf
DOI :
10.1109/DSN.2013.6575326
Filename :
6575326
Link To Document :
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