AQUAS: A quality-aware scheduler for NoSQL data stores

Xu, Chen, Xia, Fan, Sharaf, Mohamed A., Zhou, Minqi and Zhou, Aoying (2014). AQUAS: A quality-aware scheduler for NoSQL data stores. In: 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. 30th IEEE International Conference on Data Engineering, ICDE 2014, Chicago, IL United States, (1210-1213). March 31-April 4 2014. doi:10.1109/ICDE.2014.6816743

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Author Xu, Chen
Xia, Fan
Sharaf, Mohamed A.
Zhou, Minqi
Zhou, Aoying
Title of paper AQUAS: A quality-aware scheduler for NoSQL data stores
Conference name 30th IEEE International Conference on Data Engineering, ICDE 2014
Conference location Chicago, IL United States
Conference dates March 31-April 4 2014
Convener IEEE
Proceedings title 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014   Check publisher's open access policy
Journal name International Conference on Data Engineering. Proceedings   Check publisher's open access policy
Series International Conference on Data Engineering. Proceedings
Place of Publication Washington, DC United States
Publisher IEEE Computer Society
Publication Year 2014
Sub-type Fully published paper
DOI 10.1109/ICDE.2014.6816743
Open Access Status Not Open Access
ISBN 9781479925568
9781479925544
ISSN 1084-4627
Start page 1210
End page 1213
Total pages 4
Language eng
Abstract/Summary NoSQL key-value data stores provide an attractive solution for big data management. With the help of data partitioning and replication, those data stores achieve higher levels of availability, scalability and reliability. Such design choices typically exhibit a tradeoff in which data freshness is sacrificed in favor of reduced access latency. At the replica-level, this tradeoff is primarily shaped by the resource allocation strategies deployed for managing the processing of user queries and replica updates. In this demonstration, we showcase AQUAS: a quality-aware scheduler for Cassandra, which allows application developers to specify requirements on quality of service (QoS) and quality of data (QoD). AQUAS efficiently allocates the available replica resources to execute the incoming read/write tasks so that to minimize the penalties incurred by violating those requirements. We demonstrate AQUAS based on our implementation of a microblogging system.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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