use of edu.iu.dsc.tws.api.compute.schedule.elements.WorkerPlan in project twister2 by DSC-SPIDAL.
the class DataLocalityBatchTaskSchedulerTest method testUniqueSchedules3.
@Test
public void testUniqueSchedules3() {
int parallel = 4;
int workers = 2;
ComputeGraph graph = createGraphWithComputeTaskAndConstraints(parallel);
DataLocalityBatchTaskScheduler scheduler = new DataLocalityBatchTaskScheduler();
Config config = getConfig();
scheduler.initialize(config, 1);
generateData(config);
DataGenerator dataGenerator = new DataGenerator(config);
dataGenerator.generate(new Path(String.valueOf(config.get(DataObjectConstants.DINPUT_DIRECTORY))), 1000, 2);
WorkerPlan workerPlan = createWorkPlan(workers);
TaskSchedulePlan plan1 = scheduler.schedule(graph, workerPlan);
Assert.assertNotNull(plan1);
Map<Integer, WorkerSchedulePlan> containersMap = plan1.getContainersMap();
for (Map.Entry<Integer, WorkerSchedulePlan> entry : containersMap.entrySet()) {
WorkerSchedulePlan workerSchedulePlan = entry.getValue();
Set<TaskInstancePlan> containerPlanTaskInstances = workerSchedulePlan.getTaskInstances();
LOG.info("container plan instances and parallel:" + containerPlanTaskInstances.size() + "\t" + workers * graph.getTaskVertexSet().size());
Assert.assertEquals(containerPlanTaskInstances.size(), workers * graph.getTaskVertexSet().size());
}
}
use of edu.iu.dsc.tws.api.compute.schedule.elements.WorkerPlan in project twister2 by DSC-SPIDAL.
the class DataLocalityBatchTaskSchedulerTest method createWorkPlan.
private WorkerPlan createWorkPlan(int workers) {
WorkerPlan plan = new WorkerPlan();
for (int i = 0; i < workers; i++) {
Worker w = new Worker(i);
w.addProperty("bandwidth", 1000.0);
w.addProperty("latency", 0.1);
plan.addWorker(w);
}
return plan;
}
use of edu.iu.dsc.tws.api.compute.schedule.elements.WorkerPlan in project twister2 by DSC-SPIDAL.
the class DataLocalityTaskSchedulerTest method createWorkPlan.
private WorkerPlan createWorkPlan(int workers) {
WorkerPlan plan = new WorkerPlan();
for (int i = 0; i < workers; i++) {
Worker w = new Worker(i);
w.addProperty("bandwidth", 1000.0);
w.addProperty("latency", 0.1);
plan.addWorker(w);
}
return plan;
}
use of edu.iu.dsc.tws.api.compute.schedule.elements.WorkerPlan in project twister2 by DSC-SPIDAL.
the class DataLocalityTaskSchedulerTest method testUniqueSchedules2.
@Test
public void testUniqueSchedules2() {
int parallel = 10;
int workers = 2;
ComputeGraph graph = createGraphWithConstraints(parallel);
DataLocalityStreamingTaskScheduler scheduler = new DataLocalityStreamingTaskScheduler();
Config config = getConfig();
scheduler.initialize(config, 1);
generateData(config);
WorkerPlan workerPlan = createWorkPlan(workers);
TaskSchedulePlan plan1 = scheduler.schedule(graph, workerPlan);
Assert.assertNotNull(plan1);
Map<Integer, WorkerSchedulePlan> containersMap = plan1.getContainersMap();
for (Map.Entry<Integer, WorkerSchedulePlan> entry : containersMap.entrySet()) {
WorkerSchedulePlan workerSchedulePlan = entry.getValue();
Set<TaskInstancePlan> containerPlanTaskInstances = workerSchedulePlan.getTaskInstances();
Assert.assertEquals(containerPlanTaskInstances.size(), Integer.parseInt(graph.getGraphConstraints().get(Context.TWISTER2_MAX_TASK_INSTANCES_PER_WORKER)));
}
}
use of edu.iu.dsc.tws.api.compute.schedule.elements.WorkerPlan in project twister2 by DSC-SPIDAL.
the class TaskSchedulerTest method testUniqueSchedules2.
@Test
public void testUniqueSchedules2() {
int parallel = 2;
ComputeGraph graph = createBatchGraph(parallel);
TaskScheduler scheduler = new TaskScheduler();
Config config = getConfig();
scheduler.initialize(config);
WorkerPlan workerPlan = createWorkPlan(parallel);
if (graph.getOperationMode().equals("BATCH")) {
Assert.assertEquals(scheduler.getClass(), TaskSchedulerContext.batchTaskSchedulingClass(config));
}
TaskSchedulePlan plan1 = scheduler.schedule(graph, workerPlan);
Assert.assertNotNull(plan1);
}
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