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scheduler.ts
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scheduler.ts
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module J2ME {
/** @const */ export var MAX_PRIORITY: number = 10;
/** @const */ export var MIN_PRIORITY: number = 1;
/** @const */ export var NORMAL_PRIORITY: number = 5;
/** @const */ export var ISOLATE_MIN_PRIORITY: number = 1;
/** @const */ export var ISOLATE_NORM_PRIORITY: number = 2;
/** @const */ export var ISOLATE_MAX_PRIORITY: number = 3;
/**
* Maximum time in ms that all of the threads have to run before the event
* loop is run.
* NOTE: this number is somewhat arbitrarily chosen, but the thought is
* we'd like the system to respond in under 100ms, so by using 80ms we then
* have 20ms to get an event, start processing it, and render an update.
* @const
*/
var MAX_WINDOW_EXECUTION_TIME: number = 80;
/**
* Number of ms between preemption checks, chosen arbitrarily.
* @const
*/
var PREEMPTION_INTERVAL: number = 5;
/**
* Time when the last preemption check was allowed.
*/
var lastPreemptionCheck: number = 0;
/**
* Number of preemption checks thus far.
*/
export var preemptionCount: number = 0;
/**
* Time when the window began execution.
* @type {number}
*/
var windowStartTime: number = 0;
/**
* Time used to track thread execution time. This is updated when the thread starts
* in the execution window and when `updateCurrentRuntime` is called.
*/
var threadTrackingTime: number = 0;
/**
* Used to block preemptions from happening during code that can't handle them.
*/
export var preemptionLockLevel: number = 0;
/**
* All of the currently runnable threads. Sorted in ascending order by virtualRuntime.
* @type {Array}
*/
var runningQueue: Context [] = [];
/**
* The smallest virtual runtime of all the currently executing threads. This number is
* monotonically increasing.
*/
var minVirtualRuntime: number = 0;
/**
* True when a setTimeout has been scheduled to run the threads.
*/
var processQueueScheduled: boolean = false;
/**
* The currently executing context.
*/
var current: Context = null;
/**
* Rate the virtual runtime increases.
*/
var currentTimeScale: number = 1;
/**
* The scheduler tracks the amount of time(virtualRuntime) that each thread has had to execute
* and tries to always execute the thread that has had least amount of time to run next.
* For higher priority threads the virtual runtime is increased at a slower rate to give them
* more time to be the the front of the queue and vice versa for low priority threads. To allow
* the event loop a turn there is an overall MAX_WINDOW_EXECUTION_TIME that if reached will yield
* all the threads and schedule them to resume on a setTimeout. This allows us to run up to
* MAX_WINDOW_EXECUTION_TIME/PREEMPTION_INTERVAL threads per execution window.
*/
export class Scheduler {
static enqueue(ctx: Context, directExecution?: boolean) {
if (ctx.virtualRuntime === 0) {
// Ensure the new thread doesn't dominate.
ctx.virtualRuntime = minVirtualRuntime;
}
runningQueue.unshift(ctx);
runningQueue.sort(function(a: Context, b: Context) {
return a.virtualRuntime - b.virtualRuntime;
});
Scheduler.updateMinVirtualRuntime();
Scheduler.processRunningQueue(directExecution);
}
private static processRunningQueue(directExecution?: boolean) {
function run() {
processQueueScheduled = false;
try {
windowStartTime = performance.now();
while (runningQueue.length) {
var now = performance.now();
if (now - windowStartTime >= MAX_WINDOW_EXECUTION_TIME) {
break;
}
var ctx = runningQueue.shift();
threadTrackingTime = lastPreemptionCheck = now;
current = ctx;
/*
* The current scaling is a simple linear function where the scale goes from 1x to .1x for lowest
* priority to highest priority.
* NOTE: this should be tuned.
* RUNTIME THREAD SCALE
* low low 1x
* norm norm 0.72x
* high high .1x
*/
currentTimeScale = -0.03103448276 * (ctx.priority * ctx.runtime.priority) + 1.031034483;
ctx.execute();
Scheduler.updateCurrentRuntime();
current = null;
}
} finally {
if (runningQueue.length) {
Scheduler.processRunningQueue();
}
}
}
if (directExecution) {
run();
return;
}
if (processQueueScheduled) {
return;
}
processQueueScheduled = true;
(<any>window).nextTickDuringEvents(run);
}
private static updateMinVirtualRuntime() {
var virtualRuntime = minVirtualRuntime;
if (current) {
virtualRuntime = current.virtualRuntime;
}
if (runningQueue.length) {
var nextContext = runningQueue[0];
if (!current) {
virtualRuntime = nextContext.virtualRuntime;
} else {
virtualRuntime = Math.min(virtualRuntime, nextContext.virtualRuntime);
}
}
minVirtualRuntime = Math.max(minVirtualRuntime, virtualRuntime);
}
private static updateCurrentRuntime() {
var now = performance.now();
var ctx = current;
var executionTime = now - threadTrackingTime;
var weightedExecutionTime = executionTime * currentTimeScale;
ctx.virtualRuntime += weightedExecutionTime;
threadTrackingTime = now;
Scheduler.updateMinVirtualRuntime()
}
static shouldPreempt(): boolean {
if (preemptionLockLevel > 0) {
return false;
}
var now = performance.now();
var totalElapsed = now - windowStartTime;
if (totalElapsed > MAX_WINDOW_EXECUTION_TIME) {
preemptionCount++;
threadWriter && threadWriter.writeLn("Execution window timeout: " + totalElapsed.toFixed(2) + " ms, samples: " + PS + ", count: " + preemptionCount);
return true;
}
Scheduler.updateCurrentRuntime();
var elapsed = now - lastPreemptionCheck;
if (elapsed < PREEMPTION_INTERVAL) {
return false;
}
lastPreemptionCheck = now;
if (runningQueue.length === 0) {
return false;
}
if ($.ctx.virtualRuntime > runningQueue[0].virtualRuntime) {
preemptionCount++;
threadWriter && threadWriter.writeLn("Preemption: " + elapsed.toFixed(2) + " ms, samples: " + PS + ", count: " + preemptionCount);
return true;
}
return false;
}
}
}