Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: In one embodiment, an apparatus can include a monitoring module configured to send an indicator representing that performance of a virtual resource satisfies a threshold condition. The apparatus can also include a management module configured to move a set of virtual resources including the virtual resource from a first portion of data center hardware resources to a second portion of data center hardware resources mutually exclusive from the first portion of data center hardware resources in response to the indicator. The management module can be configured to define the set of virtual resources based on an operational relationship between the virtual resource and the remaining virtual resources included in the set of virtual resources.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: In one embodiment, a processor-readable medium can be configured to store code representing instructions to be executed by a processor. The code can include code to receive a request to change a value representing a number of data center units included in a set of data center units assigned to a user. Each of the data center units from the set of data center units can be associated with hardware resources managed based on a set of predefined hardware resource limit values. The code can include code to determine, in response to the request, whether hardware resources of a data center unit mutually exclusive from hardware resources of the set of data center units and managed based on the set of predefined resource limit values is available for assignment to the user when the request to change is an increase request.

Abstract: In one embodiment, an apparatus can include a monitoring module configured to send an indicator representing that performance of a virtual resource satisfies a threshold condition. The apparatus can also include a management module configured to move a set of virtual resources including the virtual resource from a first portion of data center hardware resources to a second portion of data center hardware resources mutually exclusive from the first portion of data center hardware resources in response to the indicator. The management module can be configured to define the set of virtual resources based on an operational relationship between the virtual resource and the remaining virtual resources included in the set of virtual resources.