Microsoft Technology Licensing, LLC

Meta Platforms, Inc.

Facebook, Inc.

Hemal Khatri

Bradley Gene Calder

Ju Wang

Arild Einar Skjolsvold

Shane Kumar Mainali

Shashwat Srivastav

Jiesheng Wu

Niranjan Nilakantan

Sriram Sankaran

Padmanabha Chakravarthy Uddaraju

Yang Yang Zhang

Abdul Rafay Abbasi

Pradeep Kumar Gunda

Marvin McNett, Ii

Shyam Antony

Kavitha Manivannan

Vaman Bedekar

Harshawardhan Gadgil

Maxim Mazeev

Tomer Bar

Abhishek Parthasarathy

Leonidas Rigas

Allison Hartnett

Clifford Didcock

Kristin George

Vladimir Shubin

Vanam Bedekar

Kristin Lindsey George

Yang Zhang

Marvin Mcnett Ii

Systems and methods are provided for assigning and associating resources in a cloud computing environment. Virtual machines in the cloud computing environment can be assigned or associated with pools corresponding to users as dedicated, standby, or preemptible machines. The various states provide users with the ability to reserve a desired level of resources while also allowing the operator of the cloud computing environment to increase resource utilization.

Assignment of resources in virtual machine pools

The present disclosure relates to systems, non-transitory computer-readable media, and methods for accurately, flexibly, and efficiently broadcasting public combined live video streams from multiple participant devices, which change over the course of the live broadcast, as well as generating dynamic user interfaces that streamline adding, removing, and swapping participant devices from the public combined live video stream. In particular, a live video streaming system facilitates compositing live video streams from multiple participant devices into a public combined live video stream within a digital room before broadcasting the public combined live video stream to viewer devices. In addition, the live video stream smoothly and efficiently transitions new participant devices from a digital waiting room to the public combined live video stream as well as switches current participant devices from the public combined live video stream to a digital waiting room, all while maintaining live video stream of the participant devices.

Live group video streaming

Presented herein are methods of replicating versioned and hierarchical data structures, as well as data structures representing complex transactions. Due to interdependencies between data entities and a lack of guaranteed message ordering, simple replication methods employed for simple data types cannot be used. Operations on data structures exhibit dependencies between the messages making up the operations. This strategy can be extended to various types of complex transactions by considering certain messages to depend on other messages or on the existence of other entries at the data store. Regardless of origin, these dependencies can be enforced by suspending the processing of messages with unsatisfied dependencies until all of its dependencies have been met. Alternately, transactions can be committed immediately, creating entities that include versioned identifiers for each of their dependencies. These entities can then be garbage collected of the parent objects are not subsequently created.

Versioned and hierarchical data structures and distributed transactions

The disclosed computer-implemented method may include (1) receiving a media stream, (2) determining a first priority level for the media stream, (3) generating one or more first encoded segments from a first segment of the media stream based on the first priority level, (4) determining, while generating the one or more first encoded segments, a second priority level for the media stream, the second priority level being different than the first priority level, (5) generating one or more second encoded segments from a second segment of the media stream based on the second priority level, and (6) streaming the one or more first encoded segments and the one or more second encoded segments to one or more client devices. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for dynamically encoding media streams

In various embodiments, systems and methods are presented for providing resources by way of a platform as a service in a distributed computing environment to perform a job. The system may be comprised of a number of components, such as a task machine, a task location service machine, and a high-level location service machines that in combination are useable to accomplish functions provided herein. It is contemplated that the system performs methods for providing resources by determining resources of the system, such as virtual machines, and applying auto-scaling rules to the system to scale those resources. Based on the determination of the auto-scaling rules, the resources may be allocated to achieve a desired result.

Auto-scaling of pool of virtual machines based on auto-scaling rules of user associated with the pool

Embodiments of the present invention relate to invoking and managing a failover of a storage account between partitions within a distributed computing environment, where each partition represents a key range of data for the storage account. The partitions affected by the failover include source partitions hosted on a primary storage stamp and destination partitions hosted on a secondary storage stamp, where the storage account's data is being actively replicated from the primary to the secondary storage stamp. Upon receiving a manual or automatic indication to perform the failover, configuring the source partitions to independently perform flush-send operations (e.g., distributing pending messages as a group) and then configuring the destination partitions to independently perform flush-replay operations (e.g., aggressively replaying currently pending transactions). Upon completing the flush-replay operations, designating the secondary storage stamp as a new primary storage stamp such that live traffic is directed to the new primary storage stamp.

Implementing failover processes between storage stamps

Systems and methods are presented for providing resources by way of a platform as a service in a distributed computing environment to perform a job. Resources of the system, job performing on the system, and schedulers of the jobs performing on the system are decoupled in a manner that allows a job to easily migrate among resources. It is contemplated that the migration of jobs from a first pool of resource to a second pool of resource is performed by the system without human intervention. The migration of a job may utilize different schedulers for the different resources. Further, it is contemplated that a pool of resources may automatically allocate additional or fewer resources in response to a migration of a job.

Migration of task to different pool of resources based on task retry count during task lease

Embodiments of the present invention relate to invoking and managing load-balancing operation(s) applied to partitions within a distributed computing environment, where each partition represents a key range of data for a storage account. The partitions affected by the load-balancing operation(s) are source partitions hosted on a primary storage stamp and/or destination partitions hosted on a secondary storage stamp, where the primary and secondary storage stamps are located in geographically distinct areas and are equipped to replicate the storage account's data therebetween. The load-balancing operation(s) include splitting partitions into child partitions upon detecting an increased workload as a result of active replication, merging partitions to form parent partitions upon detecting a reduction in workload as a result of decreased processing-related resource consumption, or offloading partitions based on resource consumption. A service within a partition layer of the storage stamps is responsible for determining when to invoke these load-balancing operation(s).

Load balancing when replicating account data

Growing community of inventors

Redmond, WA, United States of America

Hemal Khatri