Method, electronic device, and computer program product for identifying memory snapshot
Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for identifying a memory snapshot. The method includes determining, based on operation-related historical information for a plurality of memory snapshots, a probability that the plurality of memory snapshots are operated within a first time period. The method further includes, if the determined probability is less than a threshold associated with a duration of the first time period, identifying the plurality of memory snapshots for deletion. By use of the method, memory snapshots with a low probability of being operated in a future period of time can be identified, so that such memory snapshots are deleted to reduce usage of storage resources.
1. A method for identifying a memory snapshot, comprising:
determining, based on a probability density associated with operation history associated with a set of memory snapshots, a probability that a memory snapshot will be operated upon within a first time period, wherein the operation history comprises at least one of search, access, or backup;
in response to determining that the memory snapshot has less than a threshold probability of being operated upon within the first time period, marking the memory snapshot for deletion; and
deleting the memory snapshot.
2. The method according to claim 1 , further comprising:
grouping the set of memory snapshots into modes based on the operation history;
identifying a group of memory snapshots of the set of memory snapshots, the group of memory snapshots having a same mode; and
deleting the group of memory snapshots as a batch.
3. The method according to claim 2 , wherein the modes comprise:
a trend mode in which a set of time sequences that the memory snapshots are operated upon fits a curve in an XY coordinate system;
a periodic mode in which the memory snapshots are periodically operated upon; and
an irregular mode in which the memory snapshots are operated upon at irregular times.
4. The method according to claim 1 , wherein the probability that the memory snapshot is operated upon within the first time period is associated with a probability density function of corresponding probabilities that the memory snapshot is operated upon at different times.
5. The method according to claim 4 , further comprising:
determining, based on the probability density function, a duration of the first time period.
6. The method according to claim 5 , wherein the threshold probability is determined according to a distribution of a set of time sequences corresponding to the operation history or is designated by a user.
7. The method according to claim 1 , further comprising:
in response to determining that the probability is greater than the threshold probability associated with the first time period, marking the memory snapshot for at least one of backup or re-storage.
8. An electronic device, comprising:
a processor; and
a memory coupled to the processor, wherein the memory has instructions stored therein, and the instructions, when executed by the processor, cause the electronic device to execute actions comprising:
determining, based on a probability density associated with operation history associated with a set of memory snapshots, a probability a memory snapshot will be operated upon within a first time period, wherein the operation history comprises at least one of search, access, or backup;
in response to determining that the memory snapshot has less than a threshold probability of being operated upon within the first time period, marking the memory snapshot for deletion; and
deleting the memory snapshot.
9. The electronic device according to claim 8 , wherein the actions further comprise:
grouping the set of memory snapshots into modes based on the operation history;
identifying a group of memory snapshots of the set of memory snapshots, the group of memory snapshots having a same mode; and
deleting the group of memory snapshots as a batch.
10. The electronic device according to claim 9 , wherein the modes comprise:
a trend mode in which a set of time sequences that the memory snapshots are operated upon fits a curve in an XY coordinate system;
a periodic mode in which the memory snapshots are periodically operated upon; and
an irregular mode in which the memory snapshots are operated upon at irregular times.
11. The electronic device according to claim 8 , wherein the probability that the memory snapshot is operated upon within the first time period is associated with a probability density function of corresponding probabilities that the memory snapshot is operated upon at different times.
12. The electronic device according to claim 11 , wherein the actions further comprise:
determining, based on the probability density function, a duration of the first time period.
13. The electronic device according to claim 12 , wherein the threshold probability is determined according to a distribution of a set of time sequences corresponding to the operation history or is designated by a user.
14. The electronic device according to claim 8 , wherein the actions further comprise:
in response to determining that the probability is greater than the threshold probability associated with the first time period, marking the memory snapshot for at least one of backup or re-storage.
15. A non-transitory computer-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations comprising:
determining, based on a probability density associated with operation history associated with a set of memory snapshots, a probability a memory snapshot will be operated upon within a first time period, wherein the operation history comprises at least one of search, access, or backup;
in response to determining that the memory snapshot has less than a threshold probability of being operated upon within the first time period, marking the memory snapshot for deletion; and
deleting the memory snapshot.
16. The computer-readable medium according to claim 15 , wherein the operations further comprise:
grouping the set of memory snapshots into modes based on the operation history;
identifying a group of memory snapshots of the set of memory snapshots, the group of memory snapshots having a same mode; and
deleting the group of memory snapshots as a batch.
17. The computer-readable medium according to claim 16 , wherein the modes comprise:
a trend mode in which a set of time sequences that the memory snapshots are operated upon fits a curve in an XY coordinate system;
a periodic mode in which the memory snapshots are periodically operated upon; and
an irregular mode in which the memory snapshots are operated upon at irregular times.
18. The computer-readable medium according to claim 15 , wherein the probability that the memory snapshot is operated upon within the first time period is associated with a probability density function of corresponding probabilities that memory snapshot is operated upon at different times.
19. The computer-readable medium according to claim 18 , wherein the operations further comprise:
determining, based on a probability density function, a duration of the first time period.
20. The computer-readable medium according to claim 19 , wherein the threshold probability is determined according to a distribution of a set of time sequences corresponding to the operation history or is designated by a user.