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  • "Launching Performance "

    Storage bandwidth has limited the performance of growing data warehouses. Read how Oracle Exadata overcomes storage bandwidth limitations and delivers extreme computing power to the HP Oracle Database Machine and the HP Oracle Exadata Storage Server.

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  • API Management Video

    - by Michael Stephenson
    Originally posted on: http://geekswithblogs.net/michaelstephenson/archive/2014/08/03/157900.aspxJust wanted to put the word out that the API Management video from the recent user group meeting is available.  The page on the below link has resources from that meeting:http://ukcsug.co.uk/past-events/2014-07-07/ Also we have out next two meetings available for registration at the following links:Hybrid Connectionshttps://www.eventbrite.com/e/azure-biztalk-services-hybrid-connections-tickets-12216617231?aff=eorg Hybrid Integration with Dynamics CRMhttps://www.eventbrite.com/e/hybrid-integration-with-microsoft-dynamics-crm-tickets-12398067955?aff=eorg

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  • Windows 7 Task Manager Tips for Performance

    In Part 1 of this tutorial we looked at how the Task Manager in Windows 7 could be used to view the processes running on your computer and the memory usage associated with each. Let s continue by discussing some more tips on using the Task Manager to help identify any issues and improve your PC s performance.... Comcast? Business Class - Official Site Learn About Comcast Small Business Services. Best in Phone, TV & Internet.

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  • User management system and DELETE action - usability

    - by šljaker
    I'm working on User Management System in ASP.NET MVC3. Administrator/Editor can search, insert, update and delete other users from the system. What should I do when admin/editor clicks on Delete user link? Should I redirect him to new yes/no confirmation page or display some jquery popup window? Should I then redirect him to the home page and display message 'The user has been successfully deleted from the system', or simple redirection should be just fine?

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  • Performance Tune IBM DB2 z/OS Applications using Resource Constraint Analysis

    For the DB2 for z/OS professional the two most common systems tuning scenarios are tuning a DB2 data sharing group or tuning a series of application SQL statements. The data sharing group environment can involve multiple hardware installations and many other cross-system features and functions such as coupling facilities and management policies. Resource constraint analysis is a useful tool in both situations.

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  • Management - Level 9 in the Stairway to Reporting Services

    In the last article of the series, you will learn how to manage your reports once you've finished development, including how to use the Report Manager, deploy reports, and send reports to the appropriate end users. New! SQL Monitor 3.0 Red Gate's multi-server performance monitoring and alerting tool gets results from Day One.Simple to install and easy to use – download a free trial today.

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  • A* PathFinding Poor Performance

    - by RedShft
    After debugging for a few hours, the algorithm seems to be working. Right now to check if it works i'm checking the end node position to the currentNode position when the while loop quits. So far the values look correct. The problem is, the farther I get from the NPC, who is current stationary, the worse the performance gets. It gets to a point where the game is unplayable less than 10 fps. My current PathGraph is 2500 nodes, which I believe is pretty small, right? Any ideas on how to improve performance? struct Node { bool walkable; //Whether this node is blocked or open vect2 position; //The tile's position on the map in pixels int xIndex, yIndex; //The index values of the tile in the array Node*[4] connections; //An array of pointers to nodes this current node connects to Node* parent; int gScore; int hScore; int fScore; } class AStar { private: SList!Node openList; SList!Node closedList; //Node*[4] connections; //The connections of the current node; Node currentNode; //The current node being processed Node[] Path; //The path found; const int connectionCost = 10; Node start, end; ////////////////////////////////////////////////////////// void AddToList(ref SList!Node list, ref Node node ) { list.insert( node ); } void RemoveFrom(ref SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) { auto a = find( list[] , elem ); list.linearRemove( take(a, 1 ) ); } } } bool IsInList( SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) return true; } return false; } void ClearList( SList!Node list ) { list.clear; } void SetParentNode( ref Node parent, ref Node child ) { child.parent = &parent; } void SetStartAndEndNode( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { int startXIndex, startYIndex; int endXIndex, endYIndex; startXIndex = cast(int)( vStart.x / 32 ); startYIndex = cast(int)( vStart.y / 32 ); endXIndex = cast(int)( vEnd.x / 32 ); endYIndex = cast(int)( vEnd.y / 32 ); foreach( node; PathGraph ) { if( node.xIndex == startXIndex && node.yIndex == startYIndex ) { start = node; } if( node.xIndex == endXIndex && node.yIndex == endYIndex ) { end = node; } } } void SetStartScores( ref Node start ) { start.gScore = 0; start.hScore = CalculateHScore( start, end ); start.fScore = CalculateFScore( start ); } Node GetLowestFScore() { Node lowest; lowest.fScore = 10000; foreach( elem; openList ) { if( elem.fScore < lowest.fScore ) lowest = elem; } return lowest; } //This function current sets the program into an infinite loop //I still need to debug to figure out why the parent nodes aren't correct void GeneratePath() { while( currentNode.position != start.position ) { Path ~= currentNode; currentNode = *currentNode.parent; } } void ReversePath() { Node[] temp; for(int i = Path.length - 1; i >= 0; i-- ) { temp ~= Path[i]; } Path = temp.dup; } public: //@FIXME It seems to find the path, but now performance is terrible void FindPath( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { openList.clear; closedList.clear; SetStartAndEndNode( vStart, vEnd, PathGraph ); SetStartScores( start ); AddToList( openList, start ); while( currentNode.position != end.position ) { currentNode = GetLowestFScore(); if( currentNode.position == end.position ) break; else { RemoveFrom( openList, currentNode ); AddToList( closedList, currentNode ); for( int i = 0; i < currentNode.connections.length; i++ ) { if( currentNode.connections[i] is null ) continue; else { if( IsInList( closedList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else if( IsInList( openList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; AddToList( openList, *currentNode.connections[i] ); } } } } } writeln( "Current Node Position: ", currentNode.position ); writeln( "End Node Position: ", end.position ); if( currentNode.position == end.position ) { writeln( "Current Node Parent: ", currentNode.parent ); //GeneratePath(); //ReversePath(); } } Node[] GetPath() { return Path; } } This is my first attempt at A* so any help would be greatly appreciated.

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  • Monitor SQL Server Agent Jobs with Policy Based Management

    I need to monitor all the SQL Agents to find out if a job failed in the last 24 hours. Could this be done with policy based management? If so, can you show me how to create the policy? Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • Performance Tuning in the Age of Big Data

    Database Administrators must now deal with large volumes of data and new forms of high-speed data analysis. If your responsibility includes performance tuning, here are the areas to focus on that will become more and more important in the age of Big Data. Total DeploymentEnjoy easy release management for your .NET apps, services, and databases with Deployment Manager. Get your free Starter edition now

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  • Performance Tuning Re-indexing and Update Statistics – A Case Study

    Recently we started experiencing a very strange issue in our production reporting environment where the Re-indexing and Update Statistics operation suddenly began taking more than 2 days to complete and was thus causing blockage in the database which in turn caused impairment in application performance. NEW! Take the stress out of .NET deploymentEliminate the risk in deploying manually to live systems using Deployment Manager, the new tool from Red Gate. Try it now.

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  • How to Effectively Embrace Talent Management

    Michelle Newell, Senior Director for the Human Capital Management product from Oracle, discusses with Fred how companies manage their key people -- or talent -- in ways that increase their engagement levels and help them to thrive. Also, hear about how employers can put the right people in the right position at the right time to help their organizations succeed.

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  • Oracle's Human Capital Management-Employee 2.0 solution

    Listen to Michelle Newell, Senior Director of Oracles HCM Applications Marketing discuss Oracle's HCM Employee 2.0 solution and how organizations can increase employee engagement and accelerate benefits to the bottom-line by combining Web 2.0 capabilities securely with their existing Talent Management solution.

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