Cloud Data Services: Self-Manageability and other Challenges

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Presentation transcript:

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

Pillars of Self-Managing Technology for Databases 2

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]

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

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

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?