A Modular Design for Geo-Distributed Querying: Work in Progress Report

Abstract : Most distributed storage systems provide limited abilities for querying data by attributes other than their primary keys. Supporting efficient search on secondary attributes is challenging as applications pose varying requirements to query processing systems, and no single system design can be suitable for all needs. In this paper, we show how to overcome these challenges in order to extend distributed data stores to support queries on secondary attributes. We propose a modular architecture that is flexible and allows query processing systems to make trade-offs according to different use case requirements. We describe adap-tive mechanisms that make use of this flexibility to enable query processing systems to dynamically adjust to query and write operation workloads.
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https://hal.inria.fr/hal-01728712
Contributor : Dimitrios Vasilas <>
Submitted on : Sunday, March 11, 2018 - 10:38:27 PM
Last modification on : Friday, July 5, 2019 - 3:26:03 PM
Long-term archiving on : Tuesday, June 12, 2018 - 12:35:38 PM

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  • HAL Id : hal-01728712, version 1
  • ARXIV : 1803.04141

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Dimitrios Vasilas, Marc Shapiro, Bradley King. A Modular Design for Geo-Distributed Querying: Work in Progress Report. PaPoC 2018 - 5th Workshop on Principles and Practice of Consistency for Distributed Data, Apr 2018, Porto, Portugal. pp.1-8. ⟨hal-01728712⟩

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