Abstract: One or more processors determine a throughput of hardware devices operatively coupled to a target Storage Area Network (SAN) prior to a SAN migration from a source SAN to the target SAN. Buffers within a processor core in the source SAN contain intermediate execution outputs of components within the processor core. The processor(s) determine an estimated time duration required to retrieve the soft state from a central processing unit (CPU) queue in the source SAN processor and to migrate the soft state of the processor core from the source SAN to the target SAN, in order to determine an estimated size and time of the SAN migration from the source SAN to the target SAN. The processor(s) then configure transmission resources available to the source SAN to comport with the estimated size and time of the SAN migration from the source SAN to the target SAN.

Abstract: One or more processors determine a throughput of hardware devices operatively coupled to a target Storage Area Network (SAN) prior to a SAN migration from a source SAN to the target SAN. Buffers within a processor core in the source SAN contain intermediate execution outputs of components within the processor core. The processor(s) determine an estimated time duration required to retrieve the soft state from a central processing unit (CPU) queue in the source SAN processor and to migrate the soft state of the processor core from the source SAN to the target SAN, in order to determine an estimated size and time of the SAN migration from the source SAN to the target SAN. The processor(s) then configure transmission resources available to the source SAN to comport with the estimated size and time of the SAN migration from the source SAN to the target SAN.

Abstract: A computer-implemented method sizes a Storage Area Network (SAN) storage migration. One or more processors determine Input/output Operations Per Second (IOPS) and throughput of hardware devices operatively coupled to a target Storage Area Network (SAN) prior to a SAN migration from a source SAN to the target SAN. One or more processors determine an estimated time and size of the SAN migration based on the IOPS and the throughput of the hardware devices. One or more processors then configure transmission resources available to the source SAN to comport with the estimated time and size of the SAN migration.

Abstract: A computer-implemented method sizes a Storage Area Network (SAN) storage migration. One or more processors determine Input/output Operations Per Second (IOPS) and throughput of hardware devices operatively coupled to a target Storage Area Network (SAN) prior to a SAN migration from a source SAN to the target SAN. One or more processors determine an estimated time and size of the SAN migration based on the IOPS and the throughput of the hardware devices. One or more processors then configure transmission resources available to the source SAN to comport with the estimated time and size of the SAN migration.

Abstract: A method and associated systems for using complexity probability to plan a physical datacenter relocation. One or more processors receive descriptions of each entity to be relocated, each of which is identified by a classification and by a tier that is associated with a level of complexity. Normalized random numbers are generated for each classification/tier combination and are each associated with a relocation scenario in which random complexity has a distinct amount of effect on the duration of time needed to relocate entities of the corresponding classification and tier. These numbers are then used to identify probable relocation times, each associated with one scenario, one classification, and one amount of complexity effect. These probable relocation times are then organized by classification so as to identify complexity-compensated probabilities that relocating all entities of a particular classification will require a specific duration of time.