Abstract: The present disclosure relates to compounds of Formula (Ia) and (Ib): or a pharmaceutically acceptable salt thereof, which are useful in the treatment of an HIV infection in heavily treatment-experienced patients with multidrug resistant HIV infection.

Abstract: A capability for management of computing infrastructure under emergency peak capacity conditions is presented. The capability for management of computing infrastructure under emergency peak capacity conditions may support configuration of computing infrastructure to provide additional computing capacity for the emergency peak capacity conditions. The computing infrastructure may include capacity supporting equipment configured to provide computing capacity of the computing infrastructure and environmental equipment configured to support operation of the capacity supporting equipment. The configuration of computing infrastructure to support additional computing capacity for an emergency peak capacity condition may include configuration of capacity supporting equipment to operate in emergency operating mode, rather than normal operating mode, to support the additional computing capacity for the emergency peak capacity condition.

Abstract: A capability for management of computing infrastructure under emergency peak capacity conditions is presented. The capability for management of computing infrastructure under emergency peak capacity conditions may support configuration of computing infrastructure to provide additional computing capacity for the emergency peak capacity conditions. The computing infrastructure may include capacity supporting equipment configured to provide computing capacity of the computing infrastructure and environmental equipment configured to support operation of the capacity supporting equipment. The configuration of computing infrastructure to support additional computing capacity for an emergency peak capacity condition may include configuration of capacity supporting equipment to operate in emergency operating mode, rather than normal operating mode, to support the additional computing capacity for the emergency peak capacity condition.

Abstract: A capability for perfect application capacity analysis for elastic capacity management of a cloud-based application is presented. The capability for perfect application capacity analysis for elastic capacity management of a cloud-based application may support use of perfect application capacity analysis to identify opportunities for improvements in elastic capacity management of the cloud-based application.

Abstract: A capability for management of computing infrastructure under emergency peak capacity conditions is presented. The capability for management of computing infrastructure under emergency peak capacity conditions may support configuration of computing infrastructure to provide additional computing capacity for the emergency peak capacity conditions. The computing infrastructure may include capacity supporting equipment configured to provide computing capacity of the computing infrastructure and environmental equipment configured to support operation of the capacity supporting equipment. The configuration of computing infrastructure to support additional computing capacity for an emergency peak capacity condition may include configuration of capacity supporting equipment to operate in emergency operating mode, rather than normal operating mode, to support the additional computing capacity for the emergency peak capacity condition.

Abstract: A capability for perfect application capacity analysis for elastic capacity management of a cloud-based application is presented. The capability for perfect application capacity analysis for elastic capacity management of a cloud-based application may support use of perfect application capacity analysis to identify opportunities for improvements in elastic capacity management of the cloud-based application.

Abstract: A securing mechanism for securing a computing device within a vehicle includes a first end and a second end. A top face and a bottom face extend from the first end to the second end, and the securing mechanism is folded such that the bottom face at the first end is proximate to the bottom face at the second end, defining a channel configured to receive a portion of a seatbelt of the vehicle. The securing mechanism also includes an attachment mechanism that is configured to attach the securing mechanism to the computing device. In various embodiments, the securing mechanism is attached to the computing device at a point below a center of gravity for the computing device.

Abstract: A capability for perfect application capacity analysis for elastic capacity management of a cloud-based application is presented. The capability for perfect application capacity analysis for elastic capacity management of a cloud-based application may support use of perfect application capacity analysis to identify opportunities for improvements in elastic capacity management of the cloud-based application.

Abstract: A capability for management of computing infrastructure under emergency peak capacity conditions is presented. The capability for management of computing infrastructure under emergency peak capacity conditions may support configuration of computing infrastructure to provide additional computing capacity for the emergency peak capacity conditions. The computing infrastructure may include capacity supporting equipment configured to provide computing capacity of the computing infrastructure and environmental equipment configured to support operation of the capacity supporting equipment. The configuration of computing infrastructure to support additional computing capacity for an emergency peak capacity condition may include configuration of capacity supporting equipment to operate in emergency operating mode, rather than normal operating mode, to support the additional computing capacity for the emergency peak capacity condition.

Abstract: Various exemplary embodiments relate to a method of preventing extreme coresidency hazards among application instances in a cloud network. The method includes determining a first failure group of a first instance of an application; establishing a connection with a second instance of a peer application; determining a second failure group of the second instance; comparing the first failure group to the second failure group; and establishing a second connection with a third instance of the peer application if the first failure group and the second failure group share a failure point.

Abstract: Various exemplary embodiments relate to a method and related network node including one or more of the following: identifying a hardware failure of a failed component of a plurality of hardware components; determining a set of agent devices currently configured to utilize the failed component; reconfiguring an agent device to utilize a working component of the plurality of hardware components. Various exemplary embodiments additionally or alternatively relate to a method and related network node including one or more of the following: projecting a failure date for the hardware module; determining whether the projected failure date is acceptable based on a target replacement date for the hardware module; if the projected failure date is not acceptable: selecting a parameter adjustment for a hardware component, wherein the parameter adjustment is selected to move the projected failure date closer to the target replacement date, and applying the parameter adjustment to the hardware component.

Abstract: A capability is provided for reducing response variance of virtual processors. A controller receives a processing request. The controller may propagate the processing request toward multiple virtual processors hosted on multiple hardware devices contemporaneously. The controller may propagate the processing request toward a first virtual processor hosted on a first hardware device and propagate the processing request toward a second virtual processor hosted on a second hardware device based on a determination that a timeout period expires before a processing response is received from the first virtual processor. The timeout period may be determined based on one or more response time statistics of the virtual processor and one or more response time statistics of a physical processor.

Abstract: A capability is provided for improving service availability experienced by a user requesting access to a service via a user device, where the service has multiple service instances available from multiple data centers. A set of servicing data centers is selected for the user device. The set of servicing data centers is selected from a set of candidate data centers. The set of servicing data centers is selected from the set of candidate data centers in a manner for maximizing the independence/orthogonality of the network paths between the user device and the servicing data centers. The set of servicing data centers includes two or more of the candidate data centers from which the user device may access the service, thereby providing the user device with a primary service instance and one or more backup service instances which may be used to access the service.

Abstract: A securing mechanism for securing a computing device within a vehicle includes a first end and a second end. A top face and a bottom face extend from the first end to the second end, and the securing mechanism is folded such that the bottom face at the first end is proximate to the bottom face at the second end, defining a channel configured to receive a portion of a seatbelt of the vehicle. The securing mechanism also includes an attachment mechanism that is configured to attach the securing mechanism to the computing device. In various embodiments, the securing mechanism is attached to the computing device at a point below a center of gravity for the computing device.

Abstract: A capability for online application testing of grown application capacity is presented. The capability for online application testing of grown application capacity enables grown application capacity of a cloud-based application to be tested and validated while the application remains online for handling of live application traffic. The capability for online application testing of grown application capacity enables grown application capacity of a cloud-based application to be tested and validated with minimal impact or risk to the application traffic of the application or the existing application capacity of the application. The capability for online application testing of grown application capacity may support online testing of grown application capacity for various mechanisms for growing application capacity of a cloud-based application (e.g., horizontal growth mechanisms, vertical growth mechanisms, pseudo-vertical growth mechanisms, or the like).

Abstract: A virtual resource placement management capability is presented herein. The virtual resource placement management capability enables a cloud consumer to manage placement of virtual resources of the cloud consumer by a cloud service provider within a cloud environment of the cloud service provider. The virtual resource placement management capability may support management of placement of virtual resources of a cloud consumer onto physical resources of a cloud service provider (e.g., physical resources used by the cloud service provider to provide a cloud environment), which also may be referred to herein as mapping of virtual resources of a cloud consumer onto physical resources of a cloud service provider. The virtual resource placement management capability may support management of placement of virtual resources of a cloud-based application or a cloud-based solution of a cloud consumer onto physical resources of a cloud service provider.

Abstract: Various exemplary embodiments relate to a method of preventing extreme coresidency hazards among application instances in a cloud network. The method includes determining a first failure group of a first instance of an application; establishing a connection with a second instance of a peer application; determining a second failure group of the second instance; comparing the first failure group to the second failure group; and establishing a second connection with a third instance of the peer application if the first failure group and the second failure group share a failure point.

Abstract: Various embodiments provide a method and apparatus of providing a rapid disaster recovery preparation in cloud networks that proactively detects disaster events and rapidly allocates cloud resources. Rapid disaster recovery preparation may shorten the recovery time objective (RTO) by proactively growing capacity on the recovery application(s)/resource(s) before the surge of recovery traffic hits the recovery application(s)/resource(s). Furthermore, rapid disaster recovery preparation may shorten RTO by growing capacity more rapidly than during “normal operation” where the capacity is increased by modest growth after the load has exceeded a utilization threshold for a period of time.

Abstract: Various exemplary embodiments relate to a method of preventing extreme coresidency hazards among application instances in a cloud network. The method includes determining a first failure group of a first instance of an application; establishing a connection with a second instance of a peer application; determining a second failure group of the second instance; comparing the first failure group to the second failure group; and establishing a second connection with a third instance of the peer application if the first failure group and the second failure group share a failure point.

Abstract: Various exemplary embodiments relate to a method and related network node including one or more of the following: detecting, by a resource allocation device, a failure of server hardware; identifying a first agent device that is configured to utilize the server hardware; and taking at least one action to effect a reconfiguration of the first agent device in response to the server hardware failure. Various embodiments additionally include one or more of the following: identifying a second agent device that is configured to utilize the server hardware; and taking at least one action to effect a reconfiguration of the second agent device in response to the server hardware failure. Various embodiments additionally include one or more of the following: receiving, by the resource allocation device from a second agent device, an indication of the failure of server hardware, wherein the second agent device is different from the first agent device.