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  • algorithm for Virtual Machine(VM) Consolidation in Cloud

    - by devansh dalal
    PROBLEM: We have N physical machines(PMs) each with ram Ri, cpu Ci and a set of currently scheduled VMs each with ram requirement ri and ci respectively Moving(Migrating) any VM from one PM to other has a cost associated which depends on its ram ri. A PM with no VMs is shut down to save power. Our target is to minimize the weighted sum of (N,migration cost) by migrating some VMs i.e. minimize the number of working PMs as well as not to degrade the service level due to excessive migrations. My Approach: Brute Force approach is choosing the minimum loaded PM and try to fit its VMs to other PMs by First Fit Decreasing algorithm or we can select the victim PMs and target PMs based on their loading level and shut down victims if possible by moving their VMs to targets. I tried this Greedy approach on the Data of Baadal(IIT-D cloud) but It isn't giving promising results. I have also tried to study the Ant colony optimization for dynamic VM consolidating but was unable to understand very much. I used the links. http://dumas.ccsd.cnrs.fr/docs/00/72/52/15/PDF/Esnault.pdf http://hal.archives-ouvertes.fr/docs/00/72/38/56/PDF/RR-8032.pdf Would anyone please explain the solution or suggest any new approach for better performance soon. Thanks in advance.

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  • Efficient algorithm for Virtual Machine(VM) Consolidation in Cloud

    - by devansh dalal
    PROBLEM: We have N physical machines(PMs) each with ram Ri, cpu Ci and a set of currently scheduled VMs each with ram requirement ri and ci respectively Moving(Migrating) any VM from one PM to other has a cost associated which depends on its ram ri. A PM with no VMs is shut down to save power. Our target is to minimize the weighted sum of (N,migration cost) by migrating some VMs i.e. minimize the number of working PMs as well as not to degrade the service level due to excessive migrations. My Approach: Brute Force approach is choosing the minimum loaded PM and try to fit its VMs to other PMs by First Fit Decreasing algorithm or we can select the victim PMs and target PMs based on their loading level and shut down victims if possible by moving their VMs to targets. I tried this Greedy approach on the Data of Baadal(IIT-D cloud) but It isn't giving promising results. I have also tried to study the Ant colony optimization for dynamic VM consolidating but was unable to understand very much. I used the links. http://dumas.ccsd.cnrs.fr/docs/00/72/52/15/PDF/Esnault.pdf http://hal.archives-ouvertes.fr/docs/00/72/38/56/PDF/RR-8032.pdf Would anyone please clarify the solution or suggest any new approach/resources for better performance. I am basically searching for the algorithms not the physical optimizations and I also know that many commercial organizations have provided these solution but I just wanted to know more the underlying algorithms. Thanks in advance.

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  • Run custom javascript when page loads

    - by Husain Dalal
    Ran into a neat way to load and run custom javascript when an ADF page loads:         <af:resource type="javascript">         function onLoad() {       alert("I am running ! ");           }           //Script block           if (window.addEventListener) {             window.addEventListener("load", onLoad, false)           } else if (window.attachEvent) {              window.detachEvent("onload", onLoad)              window.attachEvent("onload", onLoad)           } else {             window.onload=onLoad           }         </af:resource>  Reference: http://docs.oracle.com/cd/E23943_01/webcenter.1111/e10148/jpsdg_pagelet.htm#BABGHCBF 

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  • What can I do to get Mozilla Firefox to preload the eventual image result?

    - by Dalal
    I am attempting to preload images using JavaScript. I have declared an array as follows with image links from different places: var imageArray = new Array(); imageArray[0] = new Image(); imageArray[1] = new Image(); imageArray[2] = new Image(); imageArray[3] = new Image(); imageArray[0].src = "http://www.bollywoodhott.com/wp-content/uploads/2008/12/arjun-rampal.jpg"; imageArray[1].src = "http://labelleetleblog.files.wordpress.com/2009/06/josie-maran.jpg"; imageArray[2].src = "http://1.bp.blogspot.com/_22EXDJCJp3s/SxbIcZHTHTI/AAAAAAAAIXc/fkaDiOKjd-I/s400/black-male-model.jpg"; imageArray[3].src = "http://www.iill.net/wp-content/uploads/images/hot-chick.jpg"; The image fade and transformation effects that I am doing using this array work properly for the first 3 images, but for the last one, imageArray[3], the actual image data of the image does not get preloaded and it completely ruins the effect, since the actual image data loads AFTERWARDS, only at the time it needs to be displayed, it seems. This happens because the last link http://www.iill.net/wp-content/uploads/images/hot-chick.jpg is not a direct link to the image. If you go to that link, your browser will redirect you to the ACTUAL location. Now, my image preloading code in Chrome works perfectly well, and the effects look great. Because it seems that Chrome preloads the actual data - the EVENTUAL image that is to be shown. This means that in Chrome if I preloaded an image that will redirect to 'stop stealing my bandwidth', then the image that gets preloaded is 'stop stealing my bandwidth'. How can I modify my code to get Firefox to behave the same way?

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  • Everybody's Heard About the Bird: OTN ArchBeat Top Tweets for June 2013

    - by Bob Rhubart
    Your clicks count! Here at the Top 10 most popular tweets for June 2013 from @OTN ARchBeat on Twitter. Oracle #SOA Suite 11g Developers Cookbook Published | Antony Reynolds Jun 28, 2013 at 12:25 PM Notes on Oracle #BPM PS6 Adaptive Case Management | Graeme Colman Jun 24, 2013 at 11:55 AM Calling #ADF BC Web Service from #BPM Process | @AndrejusB Jun 24, 2013 at 12:12 PM ZDNet's @JoeMcKendrick interviews #SOA guru and author Thomas Erl (@soaschool). Jun 25, 2013 at 08:33 AM Two Weeks and counting: OTN Architect Day: Cloud Computing - July 9 - Redwood Shores, CA. Registration is free. Jun 25, 2013 at 06:00 PM Changing #WebLogic Server Deployment Order using #MBeans | @ArtofBI Jun 24, 2013 at 12:07 PM Getting Started with #WebCenter Portal — Content Contribution Project — Part 2 | Husain Dalal #fusionmiddleware Jun 24, 2013 at 09:58 AM Your next boss may not be the CIO, or any other IT manager for that matter | ZDNet Jun 25, 2013 at 02:00 PM Single Sign-On with Security Assertion Markup Language between Oracle and SAP | Ronaldo Fernandes Jun 26, 2013 at 04:08 PM RT @oracletechnet: It's Not TV, It's OTN: Top 10 Videos on the OTN YouTube Channel Jun 27, 2013 at 09:06 AM Thought for the Day "At some point you have to decide whether you're going to be a politician or an engineer. You cannot be both. To be a politician is to champion perception over reality. To be an engineer is to make perception subservient to reality. They are opposites. You can't do both simultaneously. " — H. W. Kenton Source: softwarequotes.com

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  • How can I further optimize this color difference function?

    - by aLfa
    I have made this function to calculate color differences in the CIE Lab colorspace, but it lacks speed. Since I'm not a Java expert, I wonder if any Java guru around has some tips that can improve the speed here. The code is based on the matlab function mentioned in the comment block. /** * Compute the CIEDE2000 color-difference between the sample color with * CIELab coordinates 'sample' and a standard color with CIELab coordinates * 'std' * * Based on the article: * "The CIEDE2000 Color-Difference Formula: Implementation Notes, * Supplementary Test Data, and Mathematical Observations,", G. Sharma, * W. Wu, E. N. Dalal, submitted to Color Research and Application, * January 2004. * available at http://www.ece.rochester.edu/~gsharma/ciede2000/ */ public static double deltaE2000(double[] lab1, double[] lab2) { double L1 = lab1[0]; double a1 = lab1[1]; double b1 = lab1[2]; double L2 = lab2[0]; double a2 = lab2[1]; double b2 = lab2[2]; // Cab = sqrt(a^2 + b^2) double Cab1 = Math.sqrt(a1 * a1 + b1 * b1); double Cab2 = Math.sqrt(a2 * a2 + b2 * b2); // CabAvg = (Cab1 + Cab2) / 2 double CabAvg = (Cab1 + Cab2) / 2; // G = 1 + (1 - sqrt((CabAvg^7) / (CabAvg^7 + 25^7))) / 2 double CabAvg7 = Math.pow(CabAvg, 7); double G = 1 + (1 - Math.sqrt(CabAvg7 / (CabAvg7 + 6103515625.0))) / 2; // ap = G * a double ap1 = G * a1; double ap2 = G * a2; // Cp = sqrt(ap^2 + b^2) double Cp1 = Math.sqrt(ap1 * ap1 + b1 * b1); double Cp2 = Math.sqrt(ap2 * ap2 + b2 * b2); // CpProd = (Cp1 * Cp2) double CpProd = Cp1 * Cp2; // hp1 = atan2(b1, ap1) double hp1 = Math.atan2(b1, ap1); // ensure hue is between 0 and 2pi if (hp1 < 0) { // hp1 = hp1 + 2pi hp1 += 6.283185307179586476925286766559; } // hp2 = atan2(b2, ap2) double hp2 = Math.atan2(b2, ap2); // ensure hue is between 0 and 2pi if (hp2 < 0) { // hp2 = hp2 + 2pi hp2 += 6.283185307179586476925286766559; } // dL = L2 - L1 double dL = L2 - L1; // dC = Cp2 - Cp1 double dC = Cp2 - Cp1; // computation of hue difference double dhp = 0.0; // set hue difference to zero if the product of chromas is zero if (CpProd != 0) { // dhp = hp2 - hp1 dhp = hp2 - hp1; if (dhp > Math.PI) { // dhp = dhp - 2pi dhp -= 6.283185307179586476925286766559; } else if (dhp < -Math.PI) { // dhp = dhp + 2pi dhp += 6.283185307179586476925286766559; } } // dH = 2 * sqrt(CpProd) * sin(dhp / 2) double dH = 2 * Math.sqrt(CpProd) * Math.sin(dhp / 2); // weighting functions // Lp = (L1 + L2) / 2 - 50 double Lp = (L1 + L2) / 2 - 50; // Cp = (Cp1 + Cp2) / 2 double Cp = (Cp1 + Cp2) / 2; // average hue computation // hp = (hp1 + hp2) / 2 double hp = (hp1 + hp2) / 2; // identify positions for which abs hue diff exceeds 180 degrees if (Math.abs(hp1 - hp2) > Math.PI) { // hp = hp - pi hp -= Math.PI; } // ensure hue is between 0 and 2pi if (hp < 0) { // hp = hp + 2pi hp += 6.283185307179586476925286766559; } // LpSqr = Lp^2 double LpSqr = Lp * Lp; // Sl = 1 + 0.015 * LpSqr / sqrt(20 + LpSqr) double Sl = 1 + 0.015 * LpSqr / Math.sqrt(20 + LpSqr); // Sc = 1 + 0.045 * Cp double Sc = 1 + 0.045 * Cp; // T = 1 - 0.17 * cos(hp - pi / 6) + // + 0.24 * cos(2 * hp) + // + 0.32 * cos(3 * hp + pi / 30) - // - 0.20 * cos(4 * hp - 63 * pi / 180) double hphp = hp + hp; double T = 1 - 0.17 * Math.cos(hp - 0.52359877559829887307710723054658) + 0.24 * Math.cos(hphp) + 0.32 * Math.cos(hphp + hp + 0.10471975511965977461542144610932) - 0.20 * Math.cos(hphp + hphp - 1.0995574287564276334619251841478); // Sh = 1 + 0.015 * Cp * T double Sh = 1 + 0.015 * Cp * T; // deltaThetaRad = (pi / 3) * e^-(36 / (5 * pi) * hp - 11)^2 double powerBase = hp - 4.799655442984406; double deltaThetaRad = 1.0471975511965977461542144610932 * Math.exp(-5.25249016001879 * powerBase * powerBase); // Rc = 2 * sqrt((Cp^7) / (Cp^7 + 25^7)) double Cp7 = Math.pow(Cp, 7); double Rc = 2 * Math.sqrt(Cp7 / (Cp7 + 6103515625.0)); // RT = -sin(delthetarad) * Rc double RT = -Math.sin(deltaThetaRad) * Rc; // de00 = sqrt((dL / Sl)^2 + (dC / Sc)^2 + (dH / Sh)^2 + RT * (dC / Sc) * (dH / Sh)) double dLSl = dL / Sl; double dCSc = dC / Sc; double dHSh = dH / Sh; return Math.sqrt(dLSl * dLSl + dCSc * dCSc + dHSh * dHSh + RT * dCSc * dHSh); }

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