Abstract: Amplifiers with temperature-adaptive gain and peaking gain control are described. In one example, a temperature-adaptive amplifier includes an amplifier, a temperature sense circuit, and a peaking control level shifter to bias shift the output of the amplifier and adjust a peaking gain of the amplifier based on the temperature control signal. The peaking control level shifter can adjust a peaking gain of the amplifier based on the temperature control signal. The temperature-adaptive control can help to compensate for peaking gain in amplifiers based on the operating temperature of the amplifier. The control can help to compensate for unwanted changes in amplifier peaking gain, over time, resulting in more consistent peaking gain over the full operating frequency range of amplifiers.

Abstract: A system for package pre-fetching for a remote program installation includes a service node having a processor, a computing node type database, and a cache, the service node being configured to receive at least one package request for a package required for an installation of an operating system and at least one peripheral application thereof from a computing node, and determine a package request sequence by which the computing node issues the at least one package request according to a type of the computing node. In another embodiment, a method includes receiving a package request from a computing node, and determining a package request sequence by which the computing node issues at least one package request according to a type of the computing node, so as to pre-read a subsequent package into a cache before the computing node issues a request for the subsequent package.

Abstract: An approach is provided for optimizing service factors for computing resources in a networked computing environment. Specifically, under one approach, a cloud broker/aggregator, a cloud offering optimizer, and a user workload optimizer may be provided. The cloud aggregator may aggregate information/data pertaining to a set of service factors associated with a set of resources distributed among a set of deployment groups (e.g., cloud pods). The cloud offering optimizer may analyze this information and may determine a reallocation plan to optimize values of the service factors associated with the set of resources. The user workload optimizer may then receive the reallocation plan from the cloud offering optimizer and/or application event information, and modify the deployment topology accordingly.

Abstract: A system for package pre-fetching for a remote program installation includes a service node having a processor, a computing node type database, and a cache, the service node being configured to receive at least one package request for a package required for an installation of an operating system and at least one peripheral application thereof from a computing node, and determine a package request sequence by which the computing node issues the at least one package request according to a type of the computing node. In another embodiment, a method includes receiving a package request from a computing node, and determining a package request sequence by which the computing node issues at least one package request according to a type of the computing node, so as to pre-read a subsequent package into a cache before the computing node issues a request for the subsequent package.

Abstract: A system for a package pre-fetching for a remote program installation. The system includes a cache and a service program unit. The service program unit receives a request for a package required for an installation of an operating system and at least one peripheral application thereof from a computing node. The service program unit determines a package request sequence by which the computer node issues one or more package requests according to a type of the computing node, so as to pre-read a subsequent package from an external storage device into the cache before the computing node issues a request for the subsequent package.

Abstract: An approach is provided for optimizing service factors for computing resources in a networked computing environment. Specifically, under one approach, a cloud broker/aggregator, a cloud offering optimizer, and a user workload optimizer may be provided. The cloud aggregator may aggregate information/data pertaining to a set of service factors associated with a set of resources distributed among a set of deployment groups (e.g., cloud pods). The cloud offering optimizer may analyze this information and may determine a reallocation plan to optimize values of the service factors associated with the set of resources. The user workload optimizer may then receive the reallocation plan from the cloud offering optimizer and/or application event information, and modify the deployment topology accordingly.

Abstract: A system for a package pre-fetching for a remote program installation. The system includes a cache and a service program unit. The service program unit receives a request for a package required for an installation of an operating system and at least one peripheral application thereof from a computing node. The service program unit determines a package request sequence by which the computer node issues one or more package requests according to a type of the computing node, so as to pre-read a subsequent package from an external storage device into the cache before the computing node issues a request for the subsequent package.