Relational Cloud: A Database-as-a-Service for the Cloud
Name
Zeldovich_Relational cloud.pdf
Size
776.53 KB
Format
Adobe PDF
Checksum (MD5)
df63be780907046038be9b342c68355d
Author(s)
Curino, Carlo
Jones, Evan Philip Charles
Popa, Raluca Ada
Malviya, Nirmesh
Wu, Eugene
Madden, Samuel R.
Balakrishnan, Hari
Zeldovich, Nickolai
Date Issued
January 2011
Journal
5th Biennial Conference on Innovative Data Systems Research, CIDR 2011
Citation
Curino, Carlo et al. "Relational Cloud: A Database-as-a-Service for the Cloud." 5th Biennial Conference on Innovative Data Systems Research, CIDR 2011, January 9-12, 2011 Asilomar, California.
Version
Author's final manuscript
Abstract
This paper introduces a new transactional “database-as-a-service”
(DBaaS) called Relational Cloud. A DBaaS promises to move
much of the operational burden of provisioning, configuration, scaling,
performance tuning, backup, privacy, and access control from
the database users to the service operator, offering lower overall
costs to users. Early DBaaS efforts include Amazon RDS and
Microsoft SQL Azure, which are promising in terms of establishing
the market need for such a service, but which do not address
three important challenges: efficient multi-tenancy, elastic scalability,
and database privacy. We argue that these three challenges
must be overcome before outsourcing database software and management
becomes attractive to many users, and cost-effective for
service providers. The key technical features of Relational Cloud
include: (1) a workload-aware approach to multi-tenancy that identifies
the workloads that can be co-located on a database server,
achieving higher consolidation and better performance than existing
approaches; (2) the use of a graph-based data partitioning algorithm
to achieve near-linear elastic scale-out even for complex transactional
workloads; and (3) an adjustable security scheme that enables
SQL queries to run over encrypted data, including ordering operations,
aggregates, and joins. An underlying theme in the design
of the components of Relational Cloud is the notion of workload
awareness: by monitoring query patterns and data accesses, the system
obtains information useful for various optimization and security
functions, reducing the configuration effort for users and operators.
Description
CIDR11_Mao.pptx for Slides
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
http://www.cidrdb.org/cidr2011/Papers/CIDR11_Paper33.pdf
