Abstract: System and method for managing public internet protocol (IP) addresses for a group of virtual data centers utilize a virtual overlay network to route communications between the virtual data centers and a public network through a virtual edge router of one of the virtual data centers using a public IP address assigned to that virtual edge router.

Abstract: Examples can include (1) identifying, on a network, a source node and a destination node, the source node including at least one source node virtual machine (“VM”) to be replicated as a destination node VM on the destination node, (2) performing a full synchronization by copying disks used by the source node VM in a current operational state to the destination node VM, (3) scheduling start times for multiple update synchronizations of changed data between the source node VM and the destination node VM, the start times being scheduled at different time intervals, wherein a first time interval is greater than a second time interval, and (4) performing, at a switch-over time, a shutdown of the source node VM and transmitting data changes that are pending on the disk to the destination node. Various corresponding systems, methods, and non-transitory computer-readable media are also disclosed.

Abstract: A system and method for backing up workloads for multiple tenants of a cloud computing system are disclosed. A method of backing up workloads for multiple tenants of a computing system, includes determining that a first tenant has elected to maintain a copy of backups in an off-site location and a second tenant has elected to not maintain a copy of backups in an off-site location, directing first backup data of the first tenant to a backup storage device within the computing system and to a backup storage device at the off-site location, and directing second backup data of the second tenant to the backup storage device within the computing system, and not to the backup storage device at the off-site location.

Abstract: The systems and methods provide for migrating database management system (DBMS) applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel —a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS. In some embodiments, the systems and methods, utilizing parallel processes, and combining outputs of the processes to a synchronization process, efficiently and quickly migrate DBMS applications to cloud storage, among other benefits.

Abstract: Backups of workloads in a multi-tenant cloud computing environment are efficiently queued and scheduled. A method of backing up workloads for multiple tenants of a cloud computing system, includes the steps of determining a pool of workloads to be backed up during a time window, the workloads including workloads for a first tenant and workloads for a second tenant, placing a backup task for backing up each of the workloads in the pool in a scheduling queue and prioritizing the backup tasks according to backup parameters specified by the tenants, sizes of workload data to be backed up, and hardware constraints of a backup storage device executing the backups, and instructing the backup storage device to execute the backup tasks according to an order of the backup tasks in the scheduling queue.

Abstract: The present inventors devised a holistic approach for protecting serverless applications in single-cloud, multi-zone, multi-cloud, and/or non-cloud data center computing environments. An illustrative data storage management system discovers application assets, relationships, and interoperability dependencies and creates an “application entity” that references the various assets. Protection preferences apply to the application entity as a whole. An orchestration function in the system coordinates storage management operations (e.g., backup, replication, live synchronization, etc.) in a suitable order of operations gleaned from asset dependencies, if any. A set of copies of the application's discovered assets are generated in coordinated fashion and represent a point-in-time copy of the application. The point-in-time copy can be restored and/or migrated to other computing services by the data storage management system.

Abstract: The present inventors devised a holistic approach for protecting serverless applications in single-cloud, multi-zone, multi-cloud, and/or non-cloud data center computing environments. An illustrative data storage management system discovers application assets, relationships, and interoperability dependencies and creates an “application entity” that references the various assets. Protection preferences apply to the application entity as a whole. An orchestration function in the system coordinates storage management operations (e.g., backup, replication, live synchronization, etc.) in a suitable order of operations gleaned from asset dependencies, if any. A set of copies of the application's discovered assets are generated in coordinated fashion and represent a point-in-time copy of the application. The point-in-time copy can be restored and/or migrated to other computing services by the data storage management system.

Abstract: The systems and methods provide for migrating such applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel—a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS.

Abstract: A method for overload and flow control at a service capability exposure function (SCEF) includes providing for configuration of, in memory accessible by the SCEF, at least one of user equipment (UE), service capability server (SCS), application server (AS), and application programming interface (API) gateway specific message priority rules. The method further includes providing for configuration of, in the memory accessible by the SCEF, at least one of SCS, AS, and API gateway capacity information. The method further includes throttling message traffic at the SCEF based on the at least one of UE, SCS, AS, and API gateway specific message priority rules and the at least one of SCS, AS, and API gateway capacity information.

Abstract: A system for providing an automatic software upgrade assistant for remote elevator monitoring experts using machine learning. The system performs operations that include receiving a request from a requestor to install a software upgrade on a controller of an elevator component, the software upgrade dependent on at least one software program being installed on the controller. It is determined whether the at least one software program is installed on the controller. Based at least in part on determining that the at least one software program is installed on the controller: an elapsed time to complete the installation of the software upgrade on the controller is predicted; and an indication is output to the requestor that the software upgrade is permitted to be installed on the controller and the predicted elapsed time to complete the installation.

Abstract: A method for overload and flow control at a service capability exposure function (SCEF) includes providing for configuration of, in memory accessible by the SCEF, at least one of user equipment (UE), service capability server (SCS), application server (AS), and application programming interface (API) gateway specific message priority rules. The method further includes providing for configuration of, in the memory accessible by the SCEF, at least one of SCS, AS, and API gateway capacity information. The method further includes throttling message traffic at the SCEF based on the at least one of UE, SCS, AS, and API gateway specific message priority rules and the at least one of SCS, AS, and API gateway capacity information.

Abstract: A processor-implemented method for pushing a revision to an automated passenger conveying subsystem is provided. The processor-implemented method receives the revision over a network to make the revision available to one or more subsystems. An application executed on a processor of the network, then, receives a selection input identifying the automated passenger conveying subsystem of the one or more subsystems. In turn, the application sends a message to the automated passenger conveying subsystem based on the selection input. The message identifies that the revision is available for downloading and deployment. An exchange operation is executed to push the revision to the automated passenger conveying subsystem.

Abstract: Techniques disclosed herein manage and resolve incidents in hybridity manager applications, without the back-and-forth manual steps of the traditional software support lifecycle. In one embodiment, a virtual network operations center (NOC) with a centralized view of distributed, cross-cloud hybridity manager installations is responsible for tracking incident reports relating to hybridity managers and associated bugs, and the virtual NOC automatically publishes notifications of upgrade builds that fix the tracked bugs to the appropriate hybridity managers. When the same bug is encountered again with another hybridity manager instance, the virtual NOC may also publish an upgrade notification to the other hybridity manager instance, without requiring a support ticket to be filed, etc.

Abstract: Techniques are provided for reducing the amount of data that to be transferred in a hybrid cloud system in order to spawn a VM at a private cloud computing system from a template library stored in a public cloud computing system. Instead of storing full virtual machine templates, template libraries at the public cloud computing system are “differential” libraries. Differential templates in these differential libraries only include data that is different as compared with either a base template or another differential template. Assuming a private cloud system already stores a base image, the private cloud system may spawn a VM based on a particular template simply by downloading the appropriate differential templates. This technique reduces the total amount of data that needs to be downloaded from the public cloud system in order to spawn a particular VM.

Abstract: A computing device can determine the integrity of a blowout preventer in a well system using a model generated from real-time sensor data. For example, the computing device can receive predetermined values associated with how pressure decays or otherwise changes in a pressurization subsystem overtime. The pressurization subsystem can be for pressurizing the blowout preventer. The computing device can also receive, from a pressure sensor, real-time pressure measurements indicating pressures in the pressurization subsystem. The computing device can generate the model based on the predetermined values and the pressure measurements. The computing device can use the model to predict the pressure in the pressurization subsystem during a future period of time. The computing device can analyze aspects of the predicted pressure in the pressurization subsystem over the future period of time to determine if the blowout preventer is functioning properly.

Abstract: According to certain aspects, a system may include a computing device configured to: intercept a request from a database application to read a portion of a database file, where a secondary copy of the database file resides on a secondary storage device(s) and is organized as a plurality of first blocks, wherein the request includes a database file offset(s) corresponding to the requested portion; and map the database file offset(s) to a subset of the first blocks that correspond to requested database object(s). The system may include a secondary storage controller computer(s) configured to: access a table that maps the plurality of first blocks to storage locations on the secondary storage device(s); using the table, locate and retrieve the subset of the first blocks on the secondary storage device(s); and forward the retrieved first blocks for storage in a primary storage device(s).

Abstract: According to certain aspects, a system may include a computing device configured to: intercept a request from a database application to read a portion of a database file, where a secondary copy of the database file resides on a secondary storage device(s) and is organized as a plurality of first blocks, wherein the request includes a database file offset(s) corresponding to the requested portion; and map the database file offset(s) to a subset of the first blocks that correspond to requested database object(s). The system may include a secondary storage controller computer(s) configured to: access a table that maps the plurality of first blocks to storage locations on the secondary storage device(s); using the table, locate and retrieve the subset of the first blocks on the secondary storage device(s); and forward the retrieved first blocks for storage in a primary storage device(s).

Abstract: A surface wettability measurement method for determining the surface wettability of a surface for operations that require the removal of oil-based fluid such as cementing operations in an oil/gas environment. Time domain reflectometry (TDR) measurements are used to measure the wettability in a wellbore downhole during operations or in a lab environment when fluid flow is present. A surface wettability measurement system for determining the surface wettability of a surface located either in a wellbore downhole or in a laboratory setting using time domain reflectometry for measurements during operations when fluid flow is present.

Abstract: The systems and methods provide for migrating such applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel - a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS.

Abstract: System and method for managing public internet protocol (IP) addresses for a group of virtual data centers utilize a virtual overlay network to route communications between the virtual data centers and a public network through a virtual edge router of one of the virtual data centers using a public IP address assigned to that virtual edge router.