A framework for multidimensional indexes on distributed and highly-available data stores
Document typeConference report
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
No-relational databases are nowadays a common solution when dealing with a huge data set and massive query workload. These systems have been redesigned from scratch in order to achieve scalability and availability at the cost of providing only a reduce set of low-level functionality, thus forcing the client application to implement complex logic. As a solution, our research group developed Hecuba, a set of tools and interfaces, which aims to facilitate developers with an efficient and painless interaction with non-relational technologies. This paper presents a part of Hecuba related to a particular missing feature: multidimensional indexing. Our work focuses on the design of architectures and the algorithms for providing multidimensional indexing on a distributed database without compromising scalability and availability.
CitationCugnasco, Cesare; Becerra Fontal, Yolanda. A framework for multidimensional indexes on distributed and highly-available data stores. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 128-129.