Emc IP Holding Company LLC

Dell Products Inc.

Pan Xiao

Xu Chen

Fang Du

Si Zhang

Yang Zhang

Hao Wang

Peilei Chen

Xuhui Yang

Kiko Wang

Zhenzong Jiang

Ivan A Barajas Vargas

Allen Chen

Clyde Xu Chen

Hua Peng

David Jinfeng Dai

Jeff Jianfei Yang

A load balancing method for use in conjunction with an application or service provided by a distributed computing system may begin by electing, from a group of participants, a leader for each of a plurality of tasks associated with the application or service. Responsive to detecting a signal or some other indication to run a particular task, the elected leader of the particular task may delegate responsibility to run the particular task to a particular participant. The particular participant, upon subsequently discovering that responsibility for the particular task has been delegated to it, responds by running the particular task. In some embodiments, the elected leader for a task may delegate responsibility for running the task to a least-loaded participant.

Load balancing with multi-leader election and leadership delegation

Techniques for data transmission involve obtaining respective data transmission characteristics of a set of to-be-processed data transmission jobs, the data transmission characteristics of each data transmission job indicating at least one of an expected transmission time and a data size of the data transmission job; determining corresponding weights of the set of data transmission jobs based on the data transmission characteristics of the set of data transmission jobs; and determining a transmission rate of each data transmission job based on the weights and a total transmission rate used for the set of data transmission. Accordingly, different transmission rates may be assigned to different data transmission jobs, thereby increasing a recovery point objective (RPO) completion rate before a failure occurs.

Method, electronic device and computer program product for data transmission

Techniques are provided for data replication using reinforcement learning to dynamically initiate the transfer of replication data. One method comprises obtaining a state for transferring replication data from a first storage system to a second storage system, wherein the state comprises an amount of replication data to be transferred to the second storage system; assigning a reward value to previously completed replication sessions based on whether a respective previously completed replication session satisfies a designated data recovery objective; determining a start time, using a reinforcement learning framework, for transferring the replication data to the second storage system, wherein the determining is based on the assigned reward values; and initiating the transfer of the replication data to the second storage system using the determined start time. The reward value for a given concurrent replication session may be based on respective replication data transfer times of multiple concurrent replication sessions.

Data replication using reinforcement learning to dynamically initiate transfer of replication data

An apparatus in an illustrative embodiment comprises at least one processing device that includes a processor coupled to a memory. The at least one processing device is configured to establish with a coordination service for one or more distributed applications a participant identifier for a given participant in a multi-leader election algorithm implemented in a distributed computing system comprising multiple compute nodes, the compute nodes corresponding to participants having respective participant identifiers, and to interact with the coordination service in performing an iteration of the multi-leader election algorithm to determine a current assignment of respective ones of the participants as leaders for respective processing tasks of the distributed computing system. In some embodiments, the at least one processing device comprises at least a portion of a particular one of the compute nodes of the distributed computing system, and the coordination service comprises one or more external servers.

Multi-leader election in a distributed computing system

Techniques provide for data synchronization. For example, such a technique may involve: obtaining respective synchronization characteristics of a group of synchronization jobs to be processed, each synchronization characteristic indicating at least one of an expected completion time instant and an amount of data to be synchronized of a corresponding synchronization job; prioritizing the group of the synchronization jobs based on the synchronization characteristics; and controlling execution of the group of the synchronization jobs based on a result of the prioritizing. Accordingly, high priority is given to the synchronization jobs which can be rapidly completed thereby improving the Recovery Point Objective (RPO) achievement rate before occurrence of a failure.

Method, apparatus and computer storage medium for data synchronization

Techniques test a storage system. Such techniques involve: acquiring a result of performing a first test on the storage system using a test case; if the result indicates that the storage system fails the first test, performing a second test on the storage system based on a problem of the storage system; and if the result indicates that the storage system passes the first test, determining a security level of the test case based on the result. Such techniques can effectively enhance test performance and system reliability of the storage system.

Method for testing storage systems, electronic device, and computer program product

Techniques involve storing data. In particular, such techniques involve: obtaining first data to be stored; determining whether the first data is able to be compressed in a compression ratio exceeding a predetermined threshold; and storing, based on the determined result, the first data into a storage device. Accordingly, such techniques can execute corresponding processing for data in a predicted compression ratio, so as to store the data into a storage device. In this manner, such techniques can significantly cut down the overheads for processing data while minimizing a storage space required for storing data.

Method, apparatus and computer program product for storing data

Techniques perform data input and output. For example, there is provided a technique for updating a data pattern table. The technique involves: during a time period for establishing or updating the data pattern table: receiving a data write request; making statistics of a frequency of data being written; and writing data frequently used and an identification of the data to a corresponding entry of the data pattern table based on a result of the statistics. Using such a technique, a data pattern table can be customized and data storage efficiency can be improved.

Method, apparatus and computer storage medium for data input and output

There is disclosed a method, a system, and a computer program product suitable for backing up data on a computer system. In at least one embodiment, the method comprises monitoring activity in connection with a plurality of data objects. The method also comprises determining a level of activity in connection with each data object. The method further comprises evaluating the level of activity in connection with each data object. The method still further comprises scheduling a data protection process in connection with at least one of the data objects based on the said evaluation.

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Chengdu, China

Pan Xiao