Abstract: A capacity expansion method for a storage cluster has the following steps: receiving an expansion instruction and determining a new expansion node corresponding to the instruction; traversing all placement groups to determine reference counts of OSDs corresponding to each of the groups, wherein the reference count of each OSD is the same as the number of groups; setting the OSD with the largest reference count associated with each group as an OSD to be determined; calling a data distribution interface to select an optimal OSD from the new node to replace the OSD to be determined. The OSD with the largest reference count associated with each group can only be replaced by an OSD in the new node, so that the data migration between the old nodes is eliminated, thereby improving expansion and reconstruction efficiency, reducing the resource utilization rate when the system is being expanded, and improving system performance.

Abstract: Provided are a method and system for balancing and optimizing a primary placement group, and a device and a storage medium. The method includes: determining a theoretical average value; determining a weight corresponding to each object-based storage device based on an actual capacity occupied by the object-based storage device and the theoretical average value; determining the number of expected balanced primary placement groups based on the total number of current primary placement groups and the weight corresponding to the object-based storage device; obtaining a corresponding base value based on an address of each placement group and an address of the object-based storage device, and determining the placement group as a primary placement group in a case where the base value is less than a preset value; and repeating a previous operation until the number of the determined primary placement groups reaches the number of the expected balanced primary placement groups.

Abstract: A capacity expansion method for a storage cluster has the following steps: receiving an expansion instruction and determining a new expansion node corresponding to the instruction; traversing all placement groups to determine reference counts of OSDs corresponding to each of the groups, wherein the reference count of each OSD is the same as the number of groups; setting the OSD with the largest reference count associated with each group as an OSD to be determined; calling a data distribution interface to select an optimal OSD from the new node to replace the OSD to be determined. The OSD with the largest reference count associated with each group can only be replaced by an OSD in the new node, so that the data migration between the old nodes is eliminated, thereby improving expansion and reconstruction efficiency, reducing the resource utilization rate when the system is being expanded, and improving system performance.

Abstract: Provided are a method and system for balancing and optimizing a primary placement group, and a device and a storage medium. The method includes: determining a theoretical average value; determining a weight corresponding to each object-based storage device based on an actual capacity occupied by the object-based storage device and the theoretical average value; determining the number of expected balanced primary placement groups based on the total number of current primary placement groups and the weight corresponding to the object-based storage device; obtaining a corresponding base value based on an address of each placement group and an address of the object-based storage device, and determining the placement group as a primary placement group in a case where the base value is less than a preset value; and repeating a previous operation until the number of the determined primary placement groups reaches the number of the expected balanced primary placement groups.