TY - GEN
T1 - AQUAS
T2 - 30th IEEE International Conference on Data Engineering, ICDE 2014
AU - Xu, Chen
AU - Xia, Fan
AU - Sharaf, Mohamed A.
AU - Zhou, Minqi
AU - Zhou, Aoying
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84901748034&partnerID=8YFLogxK
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U2 - 10.1109/ICDE.2014.6816743
DO - 10.1109/ICDE.2014.6816743
M3 - Conference contribution
AN - SCOPUS:84901748034
SN - 9781479925544
T3 - Proceedings - International Conference on Data Engineering
SP - 1210
EP - 1213
BT - 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014
PB - IEEE Computer Society
Y2 - 31 March 2014 through 4 April 2014
ER -