static public void Execute()
        {
            try
            {
                /*
                 * 1. Prepare PooledBrokerConfig instance.
                 *
                 * This example creates an authenticated PooledTaskBroker
                 * to act as our scoring engine.
                 *
                 * The following steps initialize the pool of
                 * R sessions dedicated to our scoring engine.
                 *
                 * In this example, we pre-initialize the workspace
                 * for each R session in the pool to contain the
                 * R model used when scoring customer requests.
                 *
                 * The R model, insurModel.rData, is loaded from
                 * the DeployR repository into each workspace at
                 * startup time. Preloading the R model at startup
                 * reduces runtime overhead and improves overall
                 * response times in the application.
                 */
                RAuthentication rAuth = new RBasicAuthentication(Program.AUTH_USER_NAME, Program.AUTH_PASSWORD);

                PoolCreationOptions poolOptions = new PoolCreationOptions();

                PoolPreloadOptions preloadOptions = new PoolPreloadOptions();
                preloadOptions.filename  = Program.TUTORIAL_INSURANCE_MODEL;
                preloadOptions.directory = Program.TUTORIAL_REPO_DIRECTORY;
                preloadOptions.author    = Program.TUTORIAL_REPO_OWNER;

                poolOptions.preloadWorkspace = preloadOptions;


                /*
                 * 2. Create RBroker instance.
                 *
                 * The application designer, in conjunction with the
                 * DeployR administrator who provisions and sets
                 * limits on DeployR grid resources, need to decide how
                 * many R sessions will be reserved for the PooledRBroker
                 * used by our scoring engine application.
                 */

                int TARGET_POOL_SIZE = 10;

                PooledBrokerConfig brokerConfig = new PooledBrokerConfig(Program.DEPLOYR_ENDPOINT,
                                                                         rAuth,
                                                                         TARGET_POOL_SIZE,
                                                                         poolOptions);

                Console.WriteLine("About to create pooledTaskBroker.");

                RBroker rBroker = RBrokerFactory.pooledTaskBroker(brokerConfig);

                Console.WriteLine("R session pool size, requested: " +
                                  TARGET_POOL_SIZE + " , actual: " +
                                  rBroker.maxConcurrency() + "\n");


                /*
                 * 3. Create an RTaskAppSimulator. It will drive
                 * sample customer data scoring requests through the
                 * RBroker.
                 */

                ScoringEngineSimulation simulation = new ScoringEngineSimulation(rBroker);


                /*
                 * 4. Launch RTaskAppSimulator simulation.
                 */

                rBroker.simulateApp(simulation);

                /*
                 * 5. Block until all tasks are complete, and shutdown has been called
                 */
                rBroker.waitUntilShutdown();
            }
            catch (Exception tex)
            {
                Console.WriteLine("constructor: ex=" + tex.ToString());
            }
        }
        public static void Execute()
        {
            try
            {
                /*
                 * 1. Prepare PooledBrokerConfig instance.
                 *
                 * This example creates an authenticated PooledTaskBroker
                 * to act as our scoring engine.
                 *
                 * The following steps initialize the pool of
                 * R sessions dedicated to our scoring engine.
                 *
                 * In this example, we pre-initialize the workspace
                 * for each R session in the pool to contain the
                 * R model used when scoring customer requests.
                 *
                 * The R model, insurModel.rData, is loaded from
                 * the DeployR repository into each workspace at
                 * startup time. Preloading the R model at startup
                 * reduces runtime overhead and improves overall
                 * response times in the application.
                 */
                RAuthentication rAuth = new RBasicAuthentication(Program.AUTH_USER_NAME, Program.AUTH_PASSWORD);

                PoolCreationOptions poolOptions = new PoolCreationOptions();

                PoolPreloadOptions preloadOptions = new PoolPreloadOptions();
                preloadOptions.filename = Program.TUTORIAL_INSURANCE_MODEL;
                preloadOptions.directory = Program.TUTORIAL_REPO_DIRECTORY;
                preloadOptions.author = Program.TUTORIAL_REPO_OWNER;

                poolOptions.preloadWorkspace = preloadOptions;

                /*
                 * 2. Create RBroker instance.
                 *
                 * The application designer, in conjunction with the
                 * DeployR administrator who provisions and sets
                 * limits on DeployR grid resources, need to decide how
                 * many R sessions will be reserved for the PooledRBroker
                 * used by our scoring engine application.
                 */

                int TARGET_POOL_SIZE = 10;

                PooledBrokerConfig brokerConfig = new PooledBrokerConfig(Program.DEPLOYR_ENDPOINT,
                                                                           rAuth,
                                                                           TARGET_POOL_SIZE,
                                                                           poolOptions);

                Console.WriteLine("About to create pooledTaskBroker.");

                RBroker rBroker = RBrokerFactory.pooledTaskBroker(brokerConfig);

                Console.WriteLine("R session pool size, requested: " +
                        TARGET_POOL_SIZE + " , actual: " +
                        rBroker.maxConcurrency() + "\n");

                /*
                 * 3. Create an RTaskAppSimulator. It will drive
                 * sample customer data scoring requests through the
                 * RBroker.
                 */

                ScoringEngineSimulation simulation = new ScoringEngineSimulation(rBroker);

                /*
                 * 4. Launch RTaskAppSimulator simulation.
                 */

                rBroker.simulateApp(simulation);

                /*
                 * 5. Block until all tasks are complete, and shutdown has been called
                 */
                rBroker.waitUntilShutdown();

            }
            catch(Exception tex)
            {
                Console.WriteLine("constructor: ex=" + tex.ToString());
            }
        }