Grant: Collaborative Research and Development Grants
University of Waterloo
$79,200.00
Dynamic Partitioning for Partially Replicated Databases
FY 2021-22
Summary
To scale-up data services, database systems popularly leverage replication or partitioning to increase server resources by distributing data partitions and their replicas over multiple servers. Data partitioning and replication become challenging tasks in the face of changing workload access patterns, which result in load imbalance and performance degradation. We propose to design and build DRP, a system that will partition and replicate data dynamically to account for changes in the workload. DRP will deliver superior performance by mitigating the effects of load skew and contention that arise from a shifting and changing workload.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
543858-2019
Name nom
Daudjee, Khuzaima
Department département
Computer Science, David R. Cheriton School of
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2019
Award amount
79200
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2711
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Database management
Research subject fr
Gestion de bases de données
Installment
inst:3
Partie
1
Nb partie
3
Application title
Dynamic Partitioning for Partially Replicated Databases
Keyword
NSERC
Application summary
To scale-up data services, database systems popularly leverage replication or partitioning to increase server resources by distributing data partitions and their replicas over multiple servers. Data partitioning and replication become challenging tasks in the face of changing workload access patterns, which result in load imbalance and performance degradation. We propose to design and build DRP, a system that will partition and replicate data dynamically to account for changes in the workload. DRP will deliver superior performance by mitigating the effects of load skew and contention that arise from a shifting and changing workload.