Facebook, Inc.

Meta Platforms, Inc.

Xiaojun Liang

Hongzhong Jia

Maher Afif Saba

Jason M Taylor

Xin Liu

Varun Kacholia

Li Hua

Mahmud Sami Tas

Rajiv Krishnamurthy

Gang Liu

Goranka Bjedov

Parthiv Bharatbhai Patel

Chih-Tang Chen

Asad K Awan

Rohan Kuruvilla

Yining Wu

Dihong Gao

Ming Ni

Andrew Barkett

John Morrow

Daniil Neiter

Junfeng Pan

Yusuf Abdulghani

Systems, methods, and non-transitory computer-readable media can provide a content feed through a display interface. The content feed can include at least a snippet of a first content item that is associated with a preview time threshold. A determination can be made that the snippet of the first content item has been positioned within a viewport region of the display interface for a duration of time that satisfies the preview time threshold. Data associated with the first content item can be obtained from a content distribution system. The data associated with the first content item can be stored.

Systems and methods for content presentation

An online system provides content items including URLs of third party websites to client devices. The client devices prefetch data from the third party website via the URL. The online system controls the prefetch rate for the client devices based on information received from the client devices. The online system may reduce the prefetch rate if an aggregate number of prefetches from the third party website during a time interval exceeds a prefetch quota. The online system may reduce the prefetch rate if the client devices indicate poor performance of the third party. The online system may determine whether to prefetch data from a URL included in a content item based on a likelihood of the user ignoring the content item if here is a delay in loading of the content item in the client device.

Managing prefetching of content from third party websites by client devices based on prediction of user interactions

Systems and method for content presentation

Embodiments are described for dynamically responding to demand for server computing resources. The embodiments can monitor performance of each of multiple computing systems in a data center, identify a particular computing system of the multiple computing systems for allocation of additional computing power, determine availability of an additional power supply to allocate to the identified computing system, determine availability of a capacity on a power distribution line connected to the particular computing system to provide the additional power supply to the particular computing system, and allocate the additional computing power to the identified computing system as a function of the determined availability of the additional power supply and the determined availability of the capacity on the power distribution line.

Dynamically responding to demand for server computing resources

A chat messaging service provided for a chat user is migrated. At a second chat server from a first chat server, static information associated with a chat user is received. At the second chat server from the first chat server, dynamic information associated with the chat user is received. At least a portion of the dynamic information is received after the chat user is indicated as being associated with the migration state. After the chat user is no longer indicated as being associated with the migration state, a chat message for the chat user is received at the second chat server.

Migrating a chat message service provided by a chat server to a new chat server

Systems, methods, and non-transitory computer-readable media can determine an application feature causing an application to crash. A set of users is ranked based on application data. The application data comprises crash cause data indicative of the number of times the application feature caused the application to crash for a user. A high crash user group is determined based on the ranking the set of users. The application feature is disabled for the high crash user group. A subset of the high crash user group is periodically replaced with a set of new users not currently in the high crash user group.

Systems and methods for application crash management

Systems, methods, and non-transitory computer-readable media can obtain data corresponding to a first content item. The first content item can be rendered for display. The first content item can be presented through a display interface. A screenshot image of the display interface can be captured while the first content item is being presented. A determination is made whether the first content item was incompletely rendered based at least in part on the screenshot image.

Systems and methods for analyzing rendered content

Migrating a chat messaging service provided for a chat user is disclosed. At a second chat server from a first chat server, static information associated with a chat user is received. The static information is received before the chat user is indicated as being associated with a migration state. At the second chat server from the first chat server, dynamic information associated with the chat user is received. At least a portion of the dynamic information is received after the chat user is indicated as being associated with the migration state. After the chat user is no longer indicated as being associated with the migration state, a chat message for the chat user is received at the second chat server.

Techniques to adaptively manage service requests within a multi-server system. In one embodiment, a service request and a service rule associated with the service request are received. Data about operating parameters of at least one server in a multi-server system are also received as part of a feedback loop. A response to the service request based on the service rule and the operating parameters is determined. Execution of the service request may be modified according to a tiered service rule based on the at least one server reaching a capacity threshold. The modification includes omitting an action in execution of the service request.

Methods and systems for adaptive capacity management

Various embodiments relating to a social cache replacement policy are described. The techniques of the present invention disclosed utilize social network properties to guide a cache replacement policy executed by a social networking platform system. In one embodiment, a method is provided for determining a queue location to cache a data item based on a popularity score computed from social network properties. In one embodiment, a method is provided for computing the popularity score by incorporating a user's social network properties and the user's friends' social network properties. In embodiments, the popularity score may be computed using a plurality of social network properties, which may include social network properties associated with (i) the user, (ii) the consumer(s), and/or (iii) the data item(s). In embodiments, a plurality of popularity scores are maintained in a user-score database, where the plurality of popularity scores are periodically updated using historical data.

Social cache

Storing data in a cache is disclosed. It is determined that a data record is not stored in a cache. A random value is generated using a threshold value. It is determined whether to store the data record in the cache based at least in part on the generated random value.

Statistical cache promotion

Various embodiments of the present disclosure relate to a cache stickiness index for providing measurable metrics associated with caches of a content delivery networking system. In one embodiment, a method for generating a cache stickiness index, including a cluster stickiness index and a region stickiness index, is disclosed. In embodiments, the cluster stickiness index is generated by comparing cache keys shared among a plurality of front-end clusters. In embodiments, the region stickiness index is generated by comparing cache keys shared among a plurality of data centers. In one embodiment, a system comprising means for generating a stickiness index is disclosed.

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San Jose, CA, United States of America

Xiaojun Liang