Abstract: A distributed system may implement analyzing resource placement fragmentation for capacity planning. Capacity planning may determine when, where, and how much capacity to implement for a distributed system that hosts resources. Placement constraints for resources may, over time, create fragmentation or stranded capacity which is available yet unusable to host new resources. Analyzing capacity fragmentation across a distributed system may allow a determination of available capacity that is actually available to host additional resources. In some embodiments, future resource placements may be estimated in order to perform capacity fragmentation analysis to determine available capacity.

Abstract: A distributed system may implement prioritizing resource hosts for resource placement. A placement request for a resource to be placed in a distributed system at a resource host may be received. Available resource hosts may be filtered out according to placement constraints. The resource hosts may be assigned to different priority sets according to a priority scheme for placing resources at resource hosts. Evaluations of resource hosts from the different priority sets may be performed to select candidate resource hosts to provide as possible placement locations.

Abstract: A distributed system may implement optimizing for infrastructure diversity in resource placement. A placement request for a resource to be placed at one of multiple resource hosts respectively implemented at infrastructure units may be received. An evaluation of utilization data for the multiple resource hosts may be performed with regard to an infrastructure diversity constraint for placing resources at the infrastructure units. A selection of a resource host may be made based on the evaluation of the utilization data according to the infrastructure diversity constraint. In some embodiments to select the resource host, the effect of placing the resource on candidate resource hosts on an infrastructure-diverse capacity metric may be determined to score the candidate resource hosts. The resource may be placed at the selected resource host.

Abstract: A distributed system may implement analyzing resource placement fragmentation for capacity planning. Capacity planning may determine when, where, and how much capacity to implement for a distributed system that hosts resources. Placement constraints for resources may, over time, create fragmentation or stranded capacity which is available yet unusable to host new resources. Analyzing capacity fragmentation across a distributed system may allow a determination of available capacity that is actually available to host additional resources. In some embodiments, future resource placements may be estimated in order to perform capacity fragmentation analysis to determine available capacity.

Abstract: A distributed system may implement analyzing resource placement fragmentation for capacity planning Capacity planning may determine when, where, and how much capacity to implement for a distributed system that hosts resources. Placement constraints for resources may, over time, create fragmentation or stranded capacity which is available yet unusable to host new resources. Analyzing capacity fragmentation across a distributed system may allow a determination of available capacity that is actually available to host additional resources. In some embodiments, future resource placements may be estimated in order to perform capacity fragmentation analysis to determine available capacity.

Abstract: A system and method for providing sets of partition placements, the system and method including determining a first set of placements for a first set of partitions first set of partitions of a volume based at least in part on a set of constraints, and placing the first set of partitions based at least in part on the first set of placements. The system and method further includes determining a second set of placements for a second set of partitions of the volume based at least in part on the first set of placements and the set of constraints, the second set of partitions being a replica of the first set of partitions, and placing the second set of partitions based at least in part on the second set of placements.

Abstract: A system and method for providing sets of partition placements, the system and method including, receiving at least one placement request for a set of partitions of a volume. Based at least in part on counts of pairs of partitions hosted by pairs of computing devices, the system and method further includes determining how suitable the pairs of computing devices are for placement of partitions of the set of partitions, generating a set of placements based at least in part on the determination, and providing the set of placements in response to the at least one placement request.