Analytics. Strategic Business. Architecture Modeling. Adaptive Case. Management ... All rights reserved. |. ⢠Tightly
basic table statistics exist. The optimizer bases .... Optimizer statistics are a collection of data that describe the d
This is done by considering the con- ditional distribution of states for each information set. The prob- ability that the facility is in state Xt given It is denoted Pr(Xt It) ...
Oct 29, 2011 - Nando de Freitas. §. Abstract. This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach ...
indirect calorimetry and the breath ratio method, respectively. We conclude that the ... To circumvent the use of VCO, and the problem of isotopic exchange in the ...
Apr 29, 2014 - 1 Department of Electrical Engineering and Computer Sciences, ... Graphene is a special material due to its fascinating electrical, mechanical, optical ..... where the electron-phonon matrix element is defined by: Mk,k = i. â. Nh ...
California Institute of Technology, Pasadena, California 91125. DOI: 10.2514/1.36679 .... cross sections and the control point location within the design space. III.
Motion-compensated transform video coding, also called as hybrid video coding, ... In this paper, we propose an adaptive rate-distortion optimization algorithm for ...... Proceeding of International Conference on Acoustics, Speech, and Sig-.
Jul 20, 2007 - from various mobile handsets, including Facebook, Twitter,. YouTube, etc. ...... beacon frame and specially by enabling the Traffic Indication.
May 8, 2013 - predecessors was invaluable in learning the graduate student ropes. ...... matrices, for which there exist stable efficient algorithms (Ward & Gray.
Cite this article as: Pastuszak, G. & Jakubowski, M. J Sign Process Syst (2016) ... Firstly, the chroma interpolation follows the search process, whereas the luma ...
Feb 14, 2017 - Adaptive Surrogate Modeling Based Optimization (ASMBO) uses the .... nal processing, financial analyses, chemistry and social networks [32] ...
process, which he called the bacterial foraging optimization algorithm (BFOA). One of the ... tional chemotaxis, global optimization, gradient descent search,.
Region à Ecosystem services à Regulation à Adaptive forest management .... best addresses each objective (i.e., the best combination of management ..... new site index to be used as climate change scenario proxy. Cork growth has been ...
zigzag Pareto solutions for the result of GAs. .... We can see that zigzag nature is exaggerated and it .... nology endowed by East Japan Railway Co., it is also.
Sep 25, 2010 - Abstract. We present an improved method for topology optimization with both adaptive mesh refinement and derefinement. Since the total ...
Feb 3, 2018 - on the use of sine and cosine trigonometric functions as operators to update the ... cess of analyzing the bounded search area around the best solution .... random variable in the range (0–1). Pi .... This fact increases the.
The above is a typical example of a model driven optimization problem. ... In a
database query optimization setting suppose the optimizer is presented with a set
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minimal overhead while providing good potential for optimization speedups. Other ... Our hardware information is collected using perflib, a library from the Perfmon tool- ..... âPerfmon Project Websiteâ, webpage, http://www.hpl.hp.com/research.
Cognitive engine exploits optimization .... networks as it can search for multiple sets of solutions over a large search space, and can enforce constraints [12]. Fast.
Jan 16, 2007 - which one objective cannot be further improved without causing ... problems. We call this approach a multi-algorithm, genetically adaptive ..... Knowles J, Corne D (1999) Proc 1999 Conf Evol Comp (IEEE Press, New. York).
On the other hand, particle swarm optimization (PSO), developed by Kennedy and Eberhart (2001), is ..... population-based optimization techniques (Deb 2001).
University of Wisconsin-Madison. Madison, WI ... ABSTRACT. We investigate a new approach for simulation-based opti- ...... Engineers, Piscataway, New Jersey.
Dundas, ON, Canada L9H 5E7 (e-mail: [email protected]). ... Space-mapping tech- ..... The authors thank Agilent Technologies, Santa Rosa, CA, for.
whoami – Never Worked for Oracle Worked with Oracle DB Since 1982 (V2) Working with Exadata since early 2010 Work for Enkitec (www.enkitec.com) (Enkitec owns several Exadatan – V2/X2/X3) (And Others BDA, Exalytics, ODA, etc…) Worked on a couple of books Hadoop Aficionado Exadata Fan Boy This is my 11th Presentation at Hotsos Blog: kerryosborne.oracle-guy.com Twitter: @KerryOracleGuy
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Top Secret Feature of BDA
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What I Did Last Week
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What’s the Point?
Sometimes the Optimizer Makes Mistakes It’s Often Pretty Easy to Spot the Mistakes Why Not Let the DB Fix the Mistakes on the Fly?
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How Does the Optimizer Mess Up?
Cardinality – Misunderestimate mostly … and it’s pretty easy to recognize …
Estimated Rows ≠ Actual Rows
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Cardinality – Misunderestimate
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Cardinality – Misunderestimate • Wolfgang Breitling – Tuning By Cardinality Feedback • Randolf Geist – xplan_extended_display_cursor.sql • Adrian Billington – Xplan Wrapper • Kyle Halley – Display_Cursor Post
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Optimizer Evolution • Bind Variable Peeking • Dynamic Sampling • Adaptive Cursor Sharing • Cardinality Feedback • Tuning Advisor • Trend towards more dynamic plans • 11g drawbacks • must run badly before it does anything • “fixes” – not persisted
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Adaptive Optimization Adaptive Query Optimization
Adaptive Plans
Join Methods
Parallel Distribution Methods
Adaptive Statistics
At Compile Time
At Run Time
Cardinality Feedback Dynamic Sampling 12
But First – Some New Terms • Adaptive Optimization – any dynamic change to plan • Adaptive Plans – changed from default on 1st execution • Automatic Re-optimization – 2nd execution • Statistics Feedback = Cardinality Feedback • Dynamic Statistics = Dynamic Sampling • SQL Plan Directives = Persisted Dynamic Sampling (for now)
