Abstract: Example data eviction methods and apparatus are described. One example method includes obtaining an access frequency and an access time of data, where the access frequency is a quantity of access times in a target time period, and the target time period is a part of an eviction period. An eviction priority of the data is determined based on the access frequency and the access time. The data is evicted in a cache system based on the eviction priority.

Abstract: A source end obtains to-be-transmitted data, divides the to-be-transmitted data into a plurality of segments, determines a sending sequence number of each segment, generates verification information of each segment based on the segment and the sending sequence number of the segment, and then sends the plurality of segments and corresponding verification information to a destination end. In this way, the destination end may verify a received segment based on a receiving sequence number and the verification information of each segment, to determine whether a transmission exception exists in the segment in a transmission process. Therefore, when verifying that a transmission exception occurs in the segment, the destination end may determine that a transmission exception exists in the to-be-transmitted data, without a need to wait until transmission of the entire to-be-transmitted data is completed, so that verification efficiency of the to-be-transmitted data is effectively improved.

Abstract: Embodiments of this application provide a data processing method in a database. A plurality of aggregation intervals are selected, wherein the plurality of aggregation intervals are different from each other. And at least one piece of data in the database is aggregated separately based on each aggregation interval, so that data clusters stored in the database have data ranges with different attribute value spans.

Abstract: A data query method includes: receiving a data query request during a data query, where the data query request specifies data ranges in a plurality of dimensions; obtaining spatial distribution information of multi-dimensional data, where the spatial distribution information records data ranges, in each dimension, of a plurality of subspace objects associated with the multi-dimensional data; determining, from the multi-dimensional data based on the spatial distribution information of the multi-dimensional data, a block that meets the data ranges in the plurality of dimensions specified by the data query request; and searching the determined block for data that meets the data ranges in the plurality of dimensions specified by the data query request.

Abstract: Embodiments of this application provide a data processing method in a database. A plurality of aggregation intervals are selected, wherein the plurality of aggregation intervals are different from each other. And at least one piece of data in the database is aggregated separately based on each aggregation interval, so that data clusters stored in the database have data ranges with different attribute value spans.

Abstract: This application discloses a deserialization method. A first object shell of a first object is created in memory space of a process, where the first object shell includes a first object header and a first object body; a serialization result of the first object is obtained; the serialization result of the first object is deserialized based on the first object shell, to obtain the first object; and after the first object is used by the process, the first object shell is released, where the first object shell may be used to deserialize a subsequently received serialization result. Deserialization efficiency is improved by reusing an object shell.

Abstract: A data processing method is provided, including: sending, by an operation node, an alarm signal to a control node when a monitor detects that processing performance of data from a first data transmission pipe is lower than a first threshold (S102), where the alarm signal is used to indicate that the processing performance of the data from the first data transmission pipe is low; and when receiving the alarm signal, reducing, by the control node, a data amount that is from the first data transmission pipe and that is allocated to the operation node (S103). The solution can reduce fluctuation in processing performance of the data processing system during traffic control.

Abstract: A method for allocating a central processing unit resource to a virtual machine, including determining, according to a change in the number of virtual machines in an advanced resource pool, the number of allocated physical cores in the advanced resource pool; and adjusting, according to the number of the allocated physical cores in the advanced resource pool, the number of allocated physical cores in a default resource pool, where the advanced resource pool and the default resource pool are resource pools that are obtained by dividing physical cores of a central processing unit according to service levels of the resource pools.

Abstract: A data processing method to improve data storage flexibility includes receiving, by a first storage management device, a data write request generated by a host, where the host is provided with the first storage management device, determining, by the first storage management device according to the data write request, scheduling information corresponding to the data write request, where the data write request includes to-be-written data, and the scheduling information corresponding to the data write request indicates a distributed storage pool, or a local storage device of the host, and processing, by the first storage management device, the to-be-written data according to the scheduling information corresponding to the data write request.

Abstract: A data processing method to improve data storage flexibility includes receiving, by a first storage management device, a data write request generated by a host, where the host is provided with the first storage management device, determining, by the first storage management device according to the data write request, scheduling information corresponding to the data write request, where the data write request includes to-be-written data, and the scheduling information corresponding to the data write request indicates a distributed storage pool, or a local storage device of the host, and processing, by the first storage management device, the to-be-written data according to the scheduling information corresponding to the data write request.

Abstract: A method for allocating a central processing unit resource to a virtual machine, including determining, according to a change in the number of virtual machines in an advanced resource pool, the number of allocated physical cores in the advanced resource pool; and adjusting, according to the number of the allocated physical cores in the advanced resource pool, the number of allocated physical cores in a default resource pool, where the advanced resource pool and the default resource pool are resource pools that are obtained by dividing physical cores of a central processing unit according to service levels of the resource pools.

Abstract: A method for allocating a central processing unit resource to a virtual machine, including determining, according to a change in the number of virtual machines in an advanced resource pool, the number of allocated physical cores in the advanced resource pool; and adjusting, according to the number of the allocated physical cores in the advanced resource pool, the number of allocated physical cores in a default resource pool, where the advanced resource pool and the default resource pool are resource pools that are obtained by dividing physical cores of a central processing unit according to service levels of the resource pools.

Abstract: A method for allocating a central processing unit resource to a virtual machine, including determining, according to a change in the number of virtual machines in an advanced resource pool, the number of allocated physical cores in the advanced resource pool; and adjusting, according to the number of the allocated physical cores in the advanced resource pool, the number of allocated physical cores in a default resource pool, where the advanced resource pool and the default resource pool are resource pools that are obtained by dividing physical cores of a central processing unit according to service levels of the resource pools.