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What does the Cloud mean for Data Management: Challenges and Opportunities

What does the Cloud mean for Data Management: Challenges and Opportunities. Akrivi Vlachou Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Yet another distributed system?. Distributed databases, parallel systems, grids, peer-to-peer, … What is different in clouds?

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What does the Cloud mean for Data Management: Challenges and Opportunities

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  1. What does the Cloud mean for Data Management: Challenges and Opportunities Akrivi Vlachou Norwegian University of Science and Technology (NTNU), Trondheim, Norway

  2. Yet another distributed system? • Distributed databases, parallel systems, grids, peer-to-peer, … • What is different in clouds? • What about (multi-dimensional) distributed query processing? • Process a huge amount of available data to extract useful information

  3. Distributed Query Processing • Find servers that store relevant data • Query processing over local data • Collect/merge partial results to an overall result set

  4. What is different in clouds? Peer-to-Peer systems Characteristics • Scalability • Fault tolerance • Bottlenecks • Overlay network • Peers are geographically distributed servers disconnect only due to hardware failure each server can communicate directly with any other [log(N) hops were sufficient in P2P] not necessary true for cloud servers

  5. Goals of Query Processing • Peer-to-Peer systems: efficiency in terms of execution time • Cloud: there is a cost ($) for the service • Given a maximum value for the execution time, minimize the cost ($) of the query • Given a budget ($) per query, maximize the quality of the service (i.e. number of retrieved tuples)

  6. Conclusions • What is the new research cloud infrastructure brings to data management? • How does "old" traditional research change? • Mobile and distributed data management is especially relevant. What is the "cloud face" of the state of the art there? • Requirements and goals are different  existing distributed approaches should be revised • Cost of the service should be taken into account during query processing

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