Finding the silver lining for data freshness on the cloud: [extended abstract]

Authors:
Mohamed A. Sharaf;Chen Xu;Xiaofang Zhou
Affiliations:
University of Queensland, Brisbane, Australia;East China Normal University, Shanghai, China;University of Queensland, Brisbane, Australia
Venue:
Proceedings of the fourth international workshop on Cloud data management
Year:
2012

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Abstract

Emerging NoSQL key-value data stores rely on data partitioning and replication to achieve higher levels of availability and scalability. Such design choices typically exhibit a tradeoff in which data freshness is sacrificed in favor of reduced access latencies. In this work, we argue that the same tradeoff is further manifested at a local-level (i.e., replica-level) and is primarily shaped by the resource allocation strategies deployed for managing the processing of user queries and replica updates. To this end, we study several strategies for efficiently allocating such recourses so that to strike a fine balance between both the quality of service (QoS) and quality of data (QoD) perceived by the end-user.