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Scalable Database Management System (DBMS) architecture with Innesto

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dc.contributor.author Wijesekera, Primal
dc.date.accessioned 2012-10-10T19:24:25Z
dc.date.available 2012-10-10T19:24:25Z
dc.date.copyright 2012 en
dc.date.issued 2012-10-10
dc.identifier.uri http://hdl.handle.net/2429/43363
dc.description.abstract Database Management systems (DBMS) have been in the core of Information Systems for decades and their importance is getting higher and higher with current high growth in user demand and rising necessity to handle big data. With recent emergence of new style of deployments in the cloud, decades old architectures in DBMS have been greatly challenged due to their inability to scale beyond single computing node and to handle big data. This new requirement has spawned new directions along scaling data storage architectures. Most of the work surfaced lacks the applicability across many domains as they were targeting only a specific domain. We present a novel scalable architecture which is implemented using a distributed spatial partitioning tree (SPT). This new architecture replaces only the storage layer of a conventional DBMS thus leaving its applicability across domains intact and provides strict consistency and isolation. Indexing and locking are two important components of a Relational Database Management System (DBMS) which pose as potential bottleneck when scaling. Our new approach based on SPT provides a novel scalable alternative for these components. Our evaluations using the TPC-C workload show they are capable of scaling beyond single computing node and support more concurrent users compared to a single node conventional system. We believe our contributions to be an important first step towards the goal of a scalable, cloud aware and full-featured DBMS as a service. en
dc.language.iso eng en
dc.publisher University of British Columbia en
dc.title Scalable Database Management System (DBMS) architecture with Innesto en
dc.type Electronic Thesis or Dissertation en
dc.degree.name Master of Science - MSc en
dc.degree.discipline Computer Science en
dc.degree.grantor University of British Columbia en
dc.date.graduation 2012-11 en
dc.degree.campus UBCV en
dc.description.scholarlevel Graduate en

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