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The Compute Pressure API provides a way for websites to react to changes in the CPU pressure of the target device, such that websites can trade off resources for an improved user experience.
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This section is non-normative.
Modern applications often need to balance the trade offs and advantages of fully utilizing the system's computing resources, in order to provide a modern and delightful user experience.
As an example, many applications can render video effects with varying degrees of sophistication. These applications aim to provide the best user experience, while avoiding driving the user's device into a high pressure regime.
Utilization of processing units close to and often reaching 100% can lead to a bad user experience, as different tasks are fighting for the processing time. This can lead to slowless, which is especially noticeable with input delay. Further, a prolonged utilization close 100% can cause the processing units to heat up due to prolonged boosting, which can lead to throttling, resulting in an even worse user experience.
As a result of thermal limits, many smartphones, tablets and laptops can become uncomfortably hot to the touch. The fans in laptops and desktops can become so loud that they disrupt conversations or the users’ ability to focus.
In many cases, a device under high pressure appears to be unresponsive, as the operating system may fail to schedule the threads advancing the task that the user is waiting for. See also Use Cases.
This section is non-normative.
Feature detection is an established web development best practice. Resources on the topic are plentiful on- and offline and the purpose of this section is not to discuss it further, but rather to put it in the context of detecting hardware-dependent features.
Consider the below feature detection examples:
This specification defines the following concepts:
Computing devices consist of a multitude of different processing units such as the Central Processing Unit (CPU), the Graphics Processing Unit (GPU) and many specialized processing units. The latter are becoming popular such as ones designed to accelerate specific tasks like machine learning or computer vision.
The specification currently defines the valid source types as global system thermals and the central processing unit, also known as the CPU. Future levels of this specification MAY introduce additional source types.
WebIDLenum PressureSource
{ "thermals
", "cpu
" };
The PressureSource
enum represents the valid source types:
thermals
" represents the global thermal state of the system.
cpu
" represents the average pressure of the central processing unit
across all its cores.
The requested sampling interval represents the desired interval between samples to be obtained from the hardware, expressed in milliseconds.
Interval and frequency are inverses of each other, so the requested sampling interval can also be expressed as a requested sampling rate in Hertz (cycles per second) by dividing 1000 by the requested sampling interval value.
The sampling rate for a platform collector is defined as a rate at which the user agent obtains telemetry readings from the underlying platform, and it might differ from the pressure observers' requested sampling rates. The rate is measured in Hertz (cycles per second).
The reporting rate for a pressure observer is the rate at which it runs the data collection steps, and it will never exceed the sampling rate.
The sampling rate differs from the requested sampling rate when the requested sampling rate exceeds upper or lower sampling rate bounds supported or accepted by the underlying platform and user agent†.
†It is recommended that the user agent limits the reporting rate as outlined in 11.2.2 Rate-limiting change notifications.
In case the user didn't request a sampling rate, the sampling rate is implementation-defined.
A pressure source is an abstract, implementation-defined
interface to hardware counters or an underlying framework that provides
telemetry data about a source type
defined by PressureSource
. A pressure source can make use of data
fusion with data from additional sources if that provides more precise
results.
The telemetry data provided by a pressure source is represented in this specification as a pressure source sample, a struct consisting of the following items:
PressureState
.
A pressure source has an associated latest sample, a pressure source sample or null. It is initially null.
A platform collector is an abstract interface responsible for obtaining telemetry samples from a pressure source, transforming them into pressure states and providing them to the user agent.
A platform collector has the following associated data:
The format of the telemetry data provided by a pressure source and stored in its latest sample's data is implementation-defined, and so is the process through which a platform collector transforms it into a pressure state.
For this specification's purposes, platform collectors are scoped to a global object via the platform collector mapping.
For automation purposes, a platform collector must have the ability to connect to virtual pressure sources and use their simulated data as pressure states rather than raw platform data that must be transformed into an adjusted pressure state.
As collecting telemetry data often means polling hardware counters, it is not a free operation and thus, it should not happen if there are no one observing the data. See 10.5 Life-cycle and garbage collection for more information.
A platform collector samples data at a specific rate. A user agent may modify this rate (if possible) for privacy reasons, or ignore and fuse certain readings.
It is RECOMMENDED that a user agent show some form of user-visible notification that informs the user when a pressure observer is active, as well as provides the user with the means to block the ongoing operation, or simply dismiss the notification.
The Compute Pressure API defines a policy-controlled feature
identified by the token "compute-pressure".
Its default allowlist is 'self'
.
Workers (dedicated and shared) adhere to the permission policy set by their owning document(s).
Shared workers often have multiple owning documents as they can be obtained by other documents with the same origin. In this case, all owning documents must be allowed to use the policy-controlled feature defined by this specification.
Dedicated workers can be created from other workers, in which case the permission policy of the first owning document (or owning documents, in case of a shared worker) up the owner chain will be used.
Each global object has:
PressureObserver
object).
The user agent has:
PressureSource
values.
A constructed PressureObserver
object has the following internal slots:
PressureUpdateCallback
set on creation.
PressureSource
string and promise holds a Promise
object.
PressureRecord
objects, which is initially empty.
PressureSource
to
the latest PressureRecord
.
PressureSource
to
positive numbers. It represents the sample interval given source type.
For the rate obfuscation mitigation the constructed PressureObserver
object additionally
has the following internal slots:
PressureSource
,
representing the source type that triggered transition to the current pressure state.
The ordered map's value is an integer representing the number of state changes in the
current observation window timeframe.
PressureSource
,
representing the source type of the last PressureRecord
.
The ordered map's value is a PressureRecord
.
Pressure states represents the minimal set of useful states that allows websites to react to changes in compute and system pressure with minimal degration in quality or service, or user experience.
WebIDLenum PressureState
{ "nominal
", "fair
", "serious
", "critical
" };
The PressureState
enum represents the pressure state with the following states:
nominal
": The conditions of the target device are at an acceptable level with no noticeable
adverse effects on the user.
fair
": Target device pressure, temperature and/or energy usage are slightly elevated, potentially
resulting in reduced battery-life, as well as fans (or systems with fans) becoming active and audible.
Apart from that the target device is running flawlessly and can take on additional work.
serious
": Target device pressure, temperature and/or energy usage is consistently highly elevated.
The system may be throttling as a countermeasure to reduce thermals.
critical
": The temperature of the target device or system is significantly elevated and it requires
cooling down to avoid any potential issues.
Contributing factors represent the underlying hardware metrics contributing to the current pressure state and can be implementation-defined.
The adjusted pressure state is a pressure state determined by an implementation-defined algorithm that takes as input source type and any other implementation-defined data from contributing factors. This algorithm MUST not be deterministic to ensure break calibration mitigation effectiveness.
The change in contributing factors is substantial steps are as follows:
PressureUpdateCallback
callbackWebIDLcallback PressureUpdateCallback
= undefined (
sequence<PressureRecord
> changes,
PressureObserver
observer
);
This callback will be invoked when the pressure state changes.
PressureObserver
object
The PressureObserver
can be used to observe changes in the pressure states.
WebIDL[Exposed=(DedicatedWorker,SharedWorker,Window), SecureContext]
interface PressureObserver
{
constructor
(PressureUpdateCallback
callback);
Promise<undefined> observe
(PressureSource
source, optional PressureObserverOptions
options = {});
undefined unobserve
(PressureSource
source);
undefined disconnect
();
sequence<PressureRecord
> takeRecords
();
[SameObject] static readonly attribute FrozenArray<PressureSource
> knownSources
;
};
The PressureObserver
interface represents a PressureObserver
.
The new
PressureObserver
(callback)
constructor steps are:
[[Callback]]
to callback.
The observe
(source, options)
method steps are:
NotAllowedError
.
[[SampleIntervalMap]]
[source] to options's sampleInterval
.
[[PendingObservePromises]]
.
[[PendingObservePromises]]
.
NotSupportedError
and abort these steps.
The unobserve
(source)
method steps are:
NotSupportedError
".
[[QueuedRecords]]
all
records associated with source.
[[SampleIntervalMap]]
[source].
[[LastRecordMap]]
[source].
[[AfterPenaltyRecordMap]]
[source].
[[PendingObservePromises]]
,
if source is equal to promiseSource, reject pendingPromise with an AbortError
.
The disconnect
()
method steps are:
[[QueuedRecords]]
.
[[SampleIntervalMap]]
.
[[LastRecordMap]]
.
[[AfterPenaltyRecordMap]]
.
[[PendingObservePromises]]
,
reject pendingPromise with an AbortError
.
The takeRecords
()
method steps are:
[[QueuedRecords]]
.
[[QueuedRecords]]
.
The knownSources
getter steps are:
WebIDL[Exposed=(DedicatedWorker,SharedWorker,Window), SecureContext]
interface PressureRecord
{
readonly attribute PressureSource
source
;
readonly attribute PressureState
state
;
readonly attribute DOMHighResTimeStamp time
;
[Default] object toJSON
();
};
A constructed PressureRecord
object has the following internal slots:
PressureSource
, which represents the current source type.
PressureState
, which represents the current pressure state.
DOMHighResTimeStamp
,
which corresponds to the
time the data was obtained from the system, relative to the time origin of the global object associated with
the PressureObserver
instance that generated the notification.
The source
getter steps are to return its [[Source]]
internal slot.
The state
getter steps are to return its [[State]]
internal slot.
The time
getter steps are to return its [[Time]]
internal slot.
When PressureRecord
.toJSON
is called, run Web IDL Standard's default toJSON steps.
WebIDLdictionary PressureObserverOptions
{
[EnforceRange] unsigned long sampleInterval
= 0;
};
The sampleInterval
member represents the requested sampling interval expressed in milliseconds.
Each global object has a strong reference to registered observers in their registered observer list (one per source).
This section outlines the steps the user agent must take when implementing the specification.
The reset observation window steps given the argument observer, are as follows:
[[ObservationWindow]]
to an implementation-defined randomized integer value in
milliseconds within an implementation-defined range.
[[MaxChangesThreshold]]
to an implementation-defined randomized integer
value of maximum allowed changes within the observationWindow within an implementation-defined range.
[[PenaltyDuration]]
to an implementation-defined randomized integer value
in milliseconds, within an implementation-defined range.
[[ChangesCountMap]]
map.
[[ObservationWindow]]
time has passed, using different randomized values.
To determine the owning document set for a relevant global object relevantGlobal:
Window
, then append relevantGlobal's associated document to owningDocumentSet.
WorkerGlobalScope
relevantGlobal's owner set:
Document
, then append owner to owningDocumentSet.
WorkerGlobalScope
, set owningDocumentSet to the union of
owningDocumentSet and owner's owning document set.
The document has implicit focus steps given the argument document, are as follows:
The may receive data steps given the argument observer are as follows:
Window
object:
WorkerGlobalScope
object:
[[LastRecordMap]]
[source] does not exist, return true.
[[LastRecordMap]]
[source].
[[SampleIntervalMap]]
[source].
[[Time]]
.
[[LastRecordMap]]
[source] does not exist, return true.
[[LastRecordMap]]
[source].
[[State]]
is not equal to state and change in contributing factors is substantial
returns true, return true.
[[ChangesCountMap]]
[source].
[[ChangesCountMap]]
[source]
≤ observer.[[MaxChangesThreshold]]
.
To get a virtual pressure source, given a source type source and relevantGlobal, perform the following steps. They return a virtual pressure source or null.
Window
object:
DedicatedWorkerGlobalScope
object:
To activate data collection given a source type source and relevantGlobal, perform the following steps:
To deactivate data collection given a source type source and relevantGlobal, perform the following steps:
The data collection steps given relevantGlobal, source and platformCollector are as follows:
PressureRecord
object with its
[[Source]]
set to source,
[[State]]
set to state
and [[Time]]
set to timeValue.
[[AfterPenaltyRecordMap]]
[source] exists:
[[AfterPenaltyRecordMap]]
[source] to record.
[[AfterPenaltyRecordMap]]
[source] to record.
[[ChangesCountMap]]
[source] to 0.
[[PenaltyDuration]]
duration with the following callback:
[[AfterPenaltyRecordMap]]
[source] exists:
[[AfterPenaltyRecordMap]]
[source].
[[AfterPenaltyRecordMap]]
[source].
To queue a record given the arguments observer, source, record, run these steps:
[[QueuedRecords]]
is greater than
max queued records, then remove the first item.
[[QueuedRecords]]
.
[[LastRecordMap]]
[source] to record.
The PressureObserver task source is a task source used for scheduling tasks to 10.6.5 Notify Pressure Observers.
To queue a pressure observer task given relevantGlobal as input, run these steps:
To notify pressure observers given relevantGlobal as input, run these steps:
[[QueuedRecords]]
.
[[QueuedRecords]]
.
[[Callback]]
with records and observer. If this throws an exception, catch it, and report the exception.
This specification defines the following unloading document cleanup steps given a Document
document:
This specification previously included steps covering the case of a
Document
becoming fully active again (i.e. integration
with Document
's reactivate steps). Those steps have been
removed while the intended behavior is discussed.
Whenever a WorkerGlobalScope
relevantGlobal's
closing flag is set to true, perform the following
steps:
It may be possible to identify users across non-same origin sites if unique or very precise values can be accessed at the same time by sites not sharing origin. This attack is mitigated by 11.2.1 Data minimization, 11.2.2 Rate-limiting change notifications, and 11.2.8 Same-origin restriction.
In computer security a covert channel creates a capability to transfer information between processes that are not supposed to be allowed to communicate. In modern multi-process web engines in the generic case each window or tab resides in its own process (documents that have the same origin or sites that have the same site typically share the same process). Using this API it may be possible to create a cross-site covert channel C where a site A on one tab first broadcasts to the channel C after having manipulated the state of the CPU. Next a site B (that is not same site with site A) on another tab reads the broadcasted data from the channel C by using this API to learn when the state of the CPU has changed. This process is repeated as long as the scripts run on both the sites A and B.
This attack is mitigated by 11.2.2 Rate-limiting change notifications, 11.2.3 Rate obfuscation and 11.2.6 Break calibration. Implementers are advised to consider all these mitigations for long-running scripts.
Targeted de-anonymization attacks constitute a critical class of threats that jeopardize a user's anonymity. These attacks allow a malicious or partially compromised website (referred to as the “malicious site”) to ascertain whether a website visitor possesses a specific public identifier, such as an email address or a social media handle.
While anonymity may be a luxury for some, for certain individuals, it is far more than that—it is a matter of survival. Consider for instance those who engage in political protests, work as journalists covering sensitive topics, etc.
As an example, an attacker can privately share a resource with the target for instance using a public resource sharing service (“victim site”), and then measure side-effects (indicating successful access) on loading the resource via side-channels. If the logged in visitor can access the embedded resource successfully, that indicates that the current visit is indeed the intended target.
Specifically, exposing reliable information about the total CPU pressure can let an attacking site understand if a target of a cross-origin navigation (e.g. an iframe or pop-up window from another site) performed a CPU-intensive operation.
Techniques such as pop-under and tab-under can be used to hide the loading from the user.
One possible attack is that the malicious website opens e.g., a popup to a resource on a victim site to which the user is logged in (e.g. a video streaming site or online document editor) pointing to a resource shared with specific users.
Assuming that loading the resource puts increased pressure on the CPU, this would create a side-channel reveals to the attacking site if the user is logged into an account with access to the resource, deanonymizing the user.
Given that modern CPUs recover quickly from high pressure, one possible mitigation strategy could be to temporarily disable readings for a few seconds after loading popup and iframe content.
This specification adheres to the generic data minimization principles to limit exposure of data related to low-level details of the underlying platform to the minimum required to address its high-value use cases. This includes consideration for limiting exposure of identifying information about devices.
The specific application of data minimization principles in the context of this specification are discussed in 11.2.2 Rate-limiting change notifications and 11.2.8 Same-origin restriction.
By rate-limiting the delivery of the pressure state information we remove the attacker's ability to observe the precise time when a value transitions between two states.
More precisely, once the pressure observer is activated, it will be called once with initial values, and then is called when the values change. The subsequent calls will be rate-limited. When the callback is called, the most recent value is reported.
The specification will recommend a rate limit of at most one call per second for the active window, and one call per 10 seconds for all other windows. We will also recommend that the call timings are jittered across origins.
These measures benefit the user's privacy, by reducing the risk of identifying a device across multiple origins. The rate-limiting also benefits the user's security, by making it difficult to use this API for timing attacks. Last, rate-limiting change callbacks places an upper bound on the performance overhead of this API.
Rate limiting can be implemented in the user agent, but it might also be possible to simply change the polling/sampling rate of the underlying hardware counters, if not accessed via a higher level framework.
The specification requires implementing the rate obfuscation mitigation to keep track of the number of pressure changes over an implementation-defined sliding observation window and set a flag if an implementation-defined threshold for the number of pressure changes is exceeded. Similarly, it is also recommended for the implementation to observe any abnormal activity such as a high number of pressure state changes spanning across multiple states, and set this flag similarly.
If this flag is set, the implementation is recommended to give the pressure observer a penalty during which it will not be able to inform scripts of changes in its pressure state as it normally would. The duration of this penalty is implementation-defined and it is recommended to be randomized. When notify pressure observers resumes operation after the penalty, it only reports the latest pressure state and disregards any interim state information received from the platform collector during this penalty.
Based on implementation experience, implementers must use:
[[MaxChangesThreshold]]
internal slot.
[[PenaltyDuration]]
internal slot.
This section is non-normative.
Based on implementation experience, implementers are advised to use:
[[ObservationWindow]]
internal slot.
In a calibration process an attacker tries to manipulate the CPU so that this API would report a transition into a certain pressure state with the highest probability in response to the pressure exerted by the fabricated workload. This break calibration mitigation solution can slow down or prevent this calibration process from succeeding by slightly changing at runtime the implementation-defined low-level hardware metrics that contribute to these pressure state transitions. Even if the initial calibration would succeed, its results will be invalidated at runtime when this mitigation is running continuously. Any attempts to recalibrate will similarly be mitigated against.
This section is non-normative.
Based on implementation experience, implementers are advised to apply the mitigation to a randomized time value within a range between 120000 milliseconds (2 minutes) and 240000 milliseconds (4 minutes).
By default data delivery is restricted to documents served from the same-origin as an initiator of an active picture-in-picture-session, documents capturing or the document with system focus, if any.
The documents qualifying for data delivery, under the above rules, can delegate it to documents in child navigables.
The feature can be extended to third-party contexts such as iframes only by a declared policy.
Shared workers can be shared across documents, such as top level document and those associated iframes. If one of the documents in the owner set passes the above data delivery requirements, the shared worker will qualify for data delivery. This means that the embedded iframe is able to pass along the data to the embedding document.
The Compute Pressure API is focused on improving the user experience. There are two ways in which applications that build on the API can positively impact accessibility.
As a consumer of the API, it's important to consider both of these opportunities. Here are some examples:
The Compute Pressure API poses a challenge to test authors, as fully exercising interface requires physical hardware devices that respond in predictable ways.
To address this challenge this document defines a [WEBDRIVER2] extension commands that allows defining and controlling virtual pressure sources that behave like real ones and which can have particular properties and whose readings can be entirely defined by users.
A virtual pressure source is a pressure source that simulates the behavior of a real one in controlled ways. It reports pressure changes to zero or more platform collectors connected to it.
Contrary to a real pressure source, however, it reports pressure state values directly instead of implementation-defined values that
must be processed into pressure states by a platform collector. In
other words, a virtual pressure source's pressure source sample's
data is a PressureState
.
In addition to the data associated with all pressure sources (such as pressure source sample), each virtual pressure source has:
Each top-level traversable has a virtual pressure source mapping, which is an ordered map of source types to virtual pressure source.
HTTP Method | URI Template |
---|---|
POST | /session/{session id}/pressuresource |
This extension command creates a new virtual pressure source of a specified
source type. Calls to observe
()
from PressureObserver
instances
of the same source type will cause this virtual pressure source to be used as their
backing pressure source until 13.1.1.2
Delete virtual pressure source is run.
Parameter name | Value type | Required |
---|---|---|
type | String | yes |
supported | Boolean | no |
The remote end steps given session, URL variables and parameters are:
HTTP Method | URI Template |
---|---|
DELETE | /session/{session id}/pressuresource/{type} |
This extension command deletes a given virtual pressure source, meaning that, if available, data for the given source type will be delivered the regular way, by non-virtual means.
The remote end steps given session, URL variables and parameters are:
HTTP Method | URI Template |
---|---|
POST | /session/{session id}/pressuresource/{type} |
This extension command allows updating the state of a virtual pressure source by pushing a new pressure source sample.
Parameter name | Value type | Required |
---|---|---|
sample |
PressureState
|
yes |
The remote end steps given session, URL variables and parameters are:
PressureState
, return error with WebDriver error code invalid argument.
This section is non-normative.
const samples = [];
function pressureChange(records, observer) {
for (const record of records) {
samples.push(record.state);
// We only want 20 samples.
if (samples.length == 20) {
observer.disconnect();
return;
}
}
}
const observer = new PressureObserver(pressureChange);
observer.observe("cpu");
In the following example we want to lower the number of concurrent video streams when the pressure becomes critical. For the sake of simplicity we only consider this one state.
As lowering the amount of streams might not result in exiting the critical state, or at least not immediately, we use a strategy where we lower one stream at the time every 30 seconds while still in the critical state.
We accomplish this by making sure the callback is called at least once every 30 seconds, or when the state actually changes. When the state changes we reset the interval timer.
let timerId = -1;
function pressureChange(records) {
// Clear timer every time we are called, either by an actual state change,
// or when called by setTimeout (see below).
if (timerId > 0) {
clearTimeout(timerId);
}
// When entering critical state, we want to recheck every 30sec if we are
// still in critical state and if so, further reduce our concurrent streams.
// For this reason we create a timer for 30 seconds that will call us back
// with the last result in there were no change.
const lastRecordArray = [records.at(records.length - 1)];
timerId = setTimeout(pressureChange.bind(this, lastRecordArray), 30_000);
for (const record of records) {
if (record.state == "critical") {
let streamsCount = getStreamsCount();
setStreamsCount(streamsCount--);
}
}
}
const observer = new PressureObserver(pressureChange);
observer.observe("cpu");
In the following example, we want to demonstrate the usage of takeRecords
()
,
by retrieving the remaining records accumulated since the the callback was last
invoked.
It is recommended to do so before disconnect
()
,
otherwise disconnect
()
will clear them and they will be lost forever.
For example, we might want to measure the pressure during a benchmarking workload, and thus want pressure telemetry for the exact duration of the workload. This means disconnecting all observers immediately when the task is completed, and manually requesting any pending pressure telemetry up to this point that might not have been delivered yet as part of the event loop cycle.
function logWorkloadStatistics(records) {
// do something with records.
}
const observer = new PressureObserver(logWorkloadStatistics);
observer.observe("cpu");
// Read pending state change records, otherwise they will be cleared
// when we disconnect.
const records = observer.takeRecords();
logWorkloadStatistics(records);
observer.disconnect();
In the following example, we show how to tell the observer to stop watching a specific
source by invoking unobserve
()
with source.
const observer = new PressureObserver(records => { /* do something with records. */ });
observer.observe("cpu");
observer.observe("gpu");
// Callback now gets called whenever the pressure state changes for 'cpu' or 'gpu'.
observer.unobserve("gpu");
// Callback now only gets called whenever the pressure state changes for 'cpu'.
In the following example, we show how to tell the observer to stop watching for any
state changes by calling disconnect
()
. Calling
disconnect
()
will stop observing all sources observed
by previous observe
()
calls.
Additionally it will clear all pending records collected since the last callback was invoked.
const observer = new PressureObserver(records => { // do something with records. });
observer.observe("cpu");
observer.observe("gpu");
// some time later...
observer.disconnect();
// records will be an empty array, because of the previous disconnect().
const records = observer.takeRecords();
As well as sections marked as non-normative, all authoring guidelines, diagrams, examples, and notes in this specification are non-normative. Everything else in this specification is normative.
The key words MAY, MUST, and RECOMMENDED in this document are to be interpreted as described in BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all capitals, as shown here.
This specification defines conformance criteria for a single product: a user agent that implements the interfaces that it contains.
This section is non-normative.
Many thanks for valuable feedback and advice from Anssi Kostiainen, Asaf Yaffe, Chen Xing, Evan Shrubsole, Florian Scholz, François Beaufort, Jan Gora, Jesse Barnes, Joshua Bell, Kamila Hasanbega, Matt Menke, Moh Haghighat, Nicolás Peña Moreno, Opal Voravootivat, Paul Jensen, Peter Djeu, Reilly Grant, Ulan Degenbaev, Victor Miura, Wei Wang, and Zhenyao Mo
Thanks to the W3C Privacy Interest Group (PING) and especially Peter Snyder for the privacy review, feedback and the proposed cross-site covert channel attack and its mitigations. Similarly thanks to Ehsan Toreini for his work on the privacy of private browsing and related contributions to this specification.
Special thanks to Amanda Zhao, Fidel Tian, Zhiliang Wang and others from the Zoom engineering team for the feedback and hands-on experiments that have helped improve this API in real-world scenarios.
[[AfterPenaltyRecordMap]]
internal slot for PressureObserver
§7.[[Callback]]
internal slot for PressureObserver
§7.[[ChangesCountMap]]
internal slot for PressureObserver
§7.constructor()
for PressureObserver
§10.2.1"cpu"
enum value for PressureSource
§3.2"critical"
enum value for PressureState
§8.disconnect()
method for PressureObserver
§10.2.4"fair"
enum value for PressureState
§8.knownSources
attribute for PressureObserver
§10.2.6[[LastRecordMap]]
internal slot for PressureObserver
§7.[[MaxChangesThreshold]]
internal slot for PressureObserver
§7."nominal"
enum value for PressureState
§8.[[ObservationWindow]]
internal slot for PressureObserver
§7.observe()
method for PressureObserver
§10.2.2[[PenaltyDuration]]
internal slot for PressureObserver
§7.[[PendingObservePromises]]
internal slot for PressureObserver
§7.PressureObserver
interface
§10.2PressureObserverOptions
dictionary
§10.4PressureRecord
interface
§10.3PressureSource
enum
§3.2PressureState
enum
§8.PressureUpdateCallback
§10.1[[QueuedRecords]]
internal slot for PressureObserver
§7.sampleInterval
member for PressureObserverOptions
§10.4.1[[SampleIntervalMap]]
internal slot for PressureObserver
§7."serious"
enum value for PressureState
§8.source
attribute for PressureRecord
§10.3.1[[Source]]
internal slot for PressureRecord
§10.3state
attribute for PressureRecord
§10.3.2[[State]]
internal slot for PressureRecord
§10.3takeRecords()
method for PressureObserver
§10.2.5"thermals"
enum value for PressureSource
§3.2time
attribute for PressureRecord
§10.3.3[[Time]]
internal slot for PressureRecord
§10.3toJSON
method for PressureRecord
§10.3.4unobserve()
method for PressureObserver
§10.2.3Document
interface
Node
)
ECMAScript
)
globalThis
attribute (for globalThis
)
DOMHighResTimeStamp
WorkerGlobalScope
)
DedicatedWorkerGlobalScope
interface
Document
)
iframes
element
WorkerGlobalScope
)
Document
)
Window
interface
WorkerGlobalScope
interface
list
)
set
)
map
)
list
)
list
)
map
)
iteration
)
list
)
list
)
map
)
list
)
struct
)
map
)
list
)
map
)
list
)
set
)
map
)
AbortError
exception
[Default]
extended attribute
[EnforceRange]
extended attribute
[Exposed]
extended attribute
FrozenArray
interface
NotAllowedError
exception
NotSupportedError
exception
object
type
Promise
interface
promise
)
[SameObject]
extended attribute
[SecureContext]
extended attribute
TypeError
exception
undefined
type
unsigned long
type
WebIDLenum PressureSource
{ "thermals
", "cpu
" };
enum PressureState
{ "nominal
", "fair
", "serious
", "critical
" };
callback PressureUpdateCallback
= undefined (
sequence<PressureRecord
> changes,
PressureObserver
observer
);
[Exposed=(DedicatedWorker,SharedWorker,Window), SecureContext]
interface PressureObserver
{
constructor
(PressureUpdateCallback
callback);
Promise<undefined> observe
(PressureSource
source, optional PressureObserverOptions
options = {});
undefined unobserve
(PressureSource
source);
undefined disconnect
();
sequence<PressureRecord
> takeRecords
();
[SameObject] static readonly attribute FrozenArray<PressureSource
> knownSources
;
};
[Exposed=(DedicatedWorker,SharedWorker,Window), SecureContext]
interface PressureRecord
{
readonly attribute PressureSource
source
;
readonly attribute PressureState
state
;
readonly attribute DOMHighResTimeStamp time
;
[Default] object toJSON
();
};
dictionary PressureObserverOptions
{
[EnforceRange] unsigned long sampleInterval
= 0;
};
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