1. Cloud Data Services: Self-Manageability and other Challenges
Surajit Chaudhuri
Microsoft Research

2. Pillars of Self-Managing Technology for Databases2

3. Self-Manageability is hard
Contributing Factors
Richness of SQL
Strict separation between execution and optimization
Expectations of backward compatibility make sweeping changes difficult
[Chaudhuri, Weikum – VLDB 2000]

4. Impact of Cloud Data Services
Example: Amazon’s SimpleDB, SQL Server Data Services
Self-Manageability is a must!
Opportunity to rethink
Server API
Data-driven 3-tier applications, Large scale data analysis (Map-Reduce/Parellel DBMS)
Re-architecting of the backend
Utilities
A great opportunity to shake out the past
Backward compatibility less of an issue

5. Cloud Data Services: New Challenges
Highly distributed
Workload unpredictable
Self-managing - No “maintenance window”
Fine Grained Access Control, Data Privacy
Effective use of resources
Adaptive techniques required
Impact of Multi-tenancy

6. Other Notable Areas Search Changes in Hardware Mobile devices
Over structured data
Exploiting structured data for text search
Changes in Hardware
SSD, Multi-core
Mobile devices
How do we address data management/sync challenges?