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Automatic Adjustment of Consistency Level by Predicting Staleness Rate for Distributed Key-Value Storage System

http://hdl.handle.net/20.500.12678/0000002932
a1f9551d-bbcf-4425-94b8-5f68d13b191c
744e99af-5fba-40d7-b8e5-66ac3cf653a2
None
Name / File License Actions
Automatic Automatic Adjustment of Consistency Level by Predicting Staleness Rate for Distributed Key-Value Storage System.pdf (1.2 Mb)
Publication type
Conference paper
Upload type
Publication
Title
Title Automatic Adjustment of Consistency Level by Predicting Staleness Rate for Distributed Key-Value Storage System
Language en
Publication date 2018-11-02
Authors
Thazin Nwe
Junya Nakamura
Ei Chaw Htoon
Tin Tin Yee
Description
Nowadays, Distributed Key-Value storage is extremely
useful in almost every large system. Most of the data
management systems use Distributed Key-Value database
in order to manage and process large volume of data in
real time. In such databases, Apache Cassandra is a peerto-
peer architecture which any user can connect to any
node in any data center and can read and write data
anywhere. Most of these systems usually select a fixed
number of replicas of read/write requests in Key-Value
storage. When the more replicas a read request chooses,
it may increase the response time and reduce the system
performance. Consistency in Key-Value data storage
systems requires any read operation to return the most
recent written version of the content. The system provides
transaction services which provide NoSQL databases with
enhanced consistency by varying the read and write
quorum size. The proposed approach tends to
automatically select the minimum number of consistent
replicas by predicting the staleness rate on adjusting the
consistency level.
Keywords
Distributed Key-Value Storage, Consistency Level, Quorum, Apache Cassandra, Staleness rate
Conference papers
ICAIT-2018
1-2 November, 2018
2nd International Conference on Advanced Information Technologies
Novotel Yangon Max Hotel, Yangon, Myanmar
https://www.uit.edu.mm/icait-2018/
411
200
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