'Optimal plan' diaporamas de présentation

CPS216: Advanced Database Systems Notes 09:Query Optimization (Cost-based optimization)

CPS216: Advanced Database Systems Notes 09:Query Optimization (Cost-based optimization). Shivnath Babu. Query Optimization Problem. Pick the best plan from the space of physical plans. Cost-Based Optimization. Prune the space of plans using heuristics Estimate cost for remaining plans

530 views • 42 slides

CPS216: Advanced Database Systems Notes 08:Query Optimization (Cost-based optimization)

CPS216: Advanced Database Systems Notes 08:Query Optimization (Cost-based optimization). Shivnath Babu. Query Optimization Problem. Pick the best plan from the space of physical plans. Cost-Based Optimization. Prune the space of plans using heuristics Estimate cost for remaining plans

435 views • 42 slides

Data Engineering Query Optimization (Cost-based optimization)

Data Engineering Query Optimization (Cost-based optimization). Shivnath Babu. Query Optimization Problem. Pick the best plan from the space of physical plans. Cost-Based Optimization. Prune the space of plans using heuristics Estimate cost for remaining plans

415 views • 41 slides

Data -intensive Computing Systems Query Optimization (Cost-based optimization)

Data -intensive Computing Systems Query Optimization (Cost-based optimization). Shivnath Babu. Query Optimization Problem. Pick the best plan from the space of physical plans. Cost-Based Optimization. Prune the space of plans using heuristics Estimate cost for remaining plans

416 views • 41 slides

Proactive Query Re-optimization

559 views • 35 slides

Why is Anyone On Meal Plan? An Analysis of Dining Economics at Brown University

Why is Anyone On Meal Plan? An Analysis of Dining Economics at Brown University. By Zach, Grace, and Liv. Background. People need to eat Many food options around Brown University On campus options Joes, Ratty, V-Dub, Blue Room, etc. Off campus Chipotle, Better Burger, Mama Kims , etc

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Proactive Re-Optimization

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Customer Retention Through Analytics

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Interception Planning System

Interception Planning System. Omer Cohen Shilo Abramovicz With the guidance of: Eliran Abutbul and Sharon Rabinovich. Project Definition. Designing an algorithm for intercepting ballistic missiles with a ballistic interceptor, based on target and interceptor model. Problem Definition.

322 views • 20 slides

Enhancing Search for Satisficing Temporal Planning with Objective-driven Decisions

Enhancing Search for Satisficing Temporal Planning with Objective-driven Decisions. Patrick Eyerich. Subbarao Kambhampati. J. Benton. g-value plateaus in Temporal Planning. Common temporal planning objective function (:metric (minimize (total-time )))

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1.58k views • 15 slides

CREZ Transmission Optimization (CTO) Study Overview

CREZ Transmission Optimization (CTO) Study Overview . Dan Woodfin Director, System Planning. Designated Zones and Scenario Wind Levels. Scope of Study. Scope of 2006 CREZ Study. Scope of 2008 CTO Study. 4850 MW. ~10,000 MW. ~12,000 MW. ~25,000 MW.

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ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events

ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events. Presented by Rabia Nuray-Turan and Xiaozhi Yu. What is ZStream. It is a composite event processing system(CEP). It uses tree based query plans for both the logical and physical representation of query patterns.

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Problem Formulation

Motivation. Bidirectional Query Planning Algorithm. Growth of size and popularity of biological deep web data sources Increasing need for querying these data sources Answering cross-source queries manually Identify relevant data sources Submit queries to numerous query forms

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