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Query Optimization for Sensor Networks

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Harshavardhan Achrekar
Harshavardhan Achrekar

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Query Optimization for Sensor Networks Harshavardhan Achrekar University of Massachusetts-Lowell
Basic architecture for Querying in TinyDB ,[object Object],[object Object],[object Object]
Disadvantages of this architecture ,[object Object],[object Object],[object Object],[object Object]
Goal of this Research Proposal ,[object Object],[object Object],[object Object]
Example: Flood Warning System ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classification of Queries ,[object Object],[object Object],[object Object]
Optimization of a Long Continuous Query ,[object Object],[object Object]
Transformation rules ,[object Object],[object Object],[object Object]
Query optimization example: ,[object Object],[object Object]
Analysis of Cost of execution QP1 is obtained by applying the left deep join trees rule. QP2 is obtained from QP1 by using the selections push-down rule and their allocation on the node where data are generated QP3 is obtained from QP2 by using rules for transforming joins into sync-joins.
Two-Tier Multiple Query Optimization ,[object Object],[object Object],[object Object]
Base Station Optimization Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Benefit Estimation-Cost Model ,[object Object],[object Object]
[object Object],[object Object],[object Object],Benefit Estimation-Cost Model
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Benefit Estimation-Cost Model
Base Station Optimization Algorithm
Base Station Optimization Algorithm
In-Network Optimization Algorithm ,[object Object],[object Object]
[object Object],[object Object],In-Network Optimization Algorithm
Query Propagation Phase ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Query Propagation Phase
Result Collection Phase ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Result Collection Phase
Example to explain DAG In Network Algo ,[object Object],[object Object],[object Object],D,E,F,G,H are queried by query q i D,G,H by q j
My Proposal for Multi Query Optimization ,[object Object],[object Object],[object Object]
My Proposal for Multi Query Optimization ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Flow View ,[object Object],[object Object],[object Object],[object Object],Child for Query 1 Is Root for Query4 Parent of all leaf childs
Experimental Evaluations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]

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Query Optimization for Sensor Networks

  • 1. Query Optimization for Sensor Networks Harshavardhan Achrekar University of Massachusetts-Lowell
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  • 10. Analysis of Cost of execution QP1 is obtained by applying the left deep join trees rule. QP2 is obtained from QP1 by using the selections push-down rule and their allocation on the node where data are generated QP3 is obtained from QP2 by using rules for transforming joins into sync-joins.
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