Abstract: Systems and techniques that facilitate compact representation of object store workloads are provided. In various embodiments, a system can access a stream of object-storage operation requests associated with an object store. In various aspects, the system can identify a set of repeating object-storage operation sequences, based on the stream of object-storage operation requests. In various instances, the system can generate a set of distribution ensembles that quantify variation of first attributes associated with respective ones of the set of repeating object-storage operation sequences. In various cases, the stream of object-storage operation requests can be considered as fully and/or bulkily representing the workload experienced by the object store. In contrast, the set of distribution ensembles can be considered as compactly representing the workload experienced by the object store (e.g.

Abstract: The technology disclosed herein enhances data protection in a distributed storage system. In a particular example, a method includes determining a drive in a subject node of the distributed storage system has failed while storing first data of a data set distributed across nodes of the distributed storage system by a data protection mechanism. The method further includes broadcasting failure information indicating the data set from the subject node to other nodes of the distributed storage system. At the other nodes, in response to receiving the failure information, the method includes identifying a subset of the other nodes that also store a portion of the data set. In each identified node of the subset, the method includes identifying second data of the data set stored on a local drive and copying the second data to a different local drive to protect the data set from further drive failure.

Abstract: The technology disclosed herein enhances data protection in a distributed storage system. In a particular example, a method includes determining a drive in a subject node of the distributed storage system has failed while storing first data of a data set distributed across nodes of the distributed storage system by a data protection mechanism. The method further includes broadcasting failure information indicating the data set from the subject node to other nodes of the distributed storage system. At the other nodes, in response to receiving the failure information, the method includes identifying a subset of the other nodes that also store a portion of the data set. In each identified node of the subset, the method includes identifying second data of the data set stored on a local drive and copying the second data to a different local drive to protect the data set from further drive failure.

Abstract: The technology disclosed herein enhances data protection in a distributed storage system. In a particular example, a method includes determining a drive in a subject node of the distributed storage system has failed while storing first data of a data set distributed across nodes of the distributed storage system by a data protection mechanism. The method further includes broadcasting failure information indicating the data set from the subject node to other nodes of the distributed storage system. At the other nodes, in response to receiving the failure information, the method includes identifying a subset of the other nodes that also store a portion of the data set. In each identified node of the subset, the method includes identifying second data of the data set stored on a local drive and copying the second data to a different local drive to protect the data set from further drive failure.

Abstract: One or more systems, devices, computer program products, and/or computer-implemented methods provided herein to use a redundant array of disks. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a control component that directs, for n physical drives of a redundant array of disks (RAID) storing data for at least n logical volumes, log-structured writing of data of each logical volume of the at least n logical volumes vertically across chunks of only a single physical drive of the n physical drives, wherein the control component further directs writing of parity data at each of the physical drives, which parity data at each physical drive of the subset respectively corresponds to other ones of the physical drives of the n physical drives.

Abstract: One or more systems, devices, computer program products, and/or computer-implemented methods provided herein to use a redundant array of disks. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a control component that directs, for n physical drives of a redundant array of disks (RAID) storing data for at least n logical volumes, log-structured writing of data of each logical volume of the at least n logical volumes vertically across chunks of only a single physical drive of the n physical drives, wherein the control component further directs writing of parity data at each of the physical drives, which parity data at each physical drive of the subset respectively corresponds to other ones of the physical drives of the n physical drives.

Abstract: One or more systems, devices, computer program products, and/or computer-implemented methods provided herein to use a redundant array of disks. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a control component that directs, for n physical drives of a redundant array of disks (RAID) storing data for at least n logical volumes, log-structured writing of data of each logical volume of the at least n logical volumes vertically across chunks of only a single physical drive of the n physical drives, wherein the control component further directs writing of parity data at each of the physical drives, which parity data at each physical drive of the subset respectively corresponds to other ones of the physical drives of the n physical drives.

Abstract: One or more systems, devices, computer program products, and/or methods provided herein to a process to direct a request related to an object at an object storage system. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a listing component that writes a node storage location of an object of the object storage system to a listing, and a load balancing component that, based on the listing, directs a request regarding the object to a node having the object stored thereat. An analysis component can determine a pattern of access to the object storage system based on data defining access behavior to the object storage system. The analysis component can determine whether to instruct or recommend writing of the node storage location of the object to the listing.

Abstract: One or more systems, devices, computer program products, and/or computer-implemented methods of use provided herein to a readahead process related to an object at an object storage system. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a detection component that, based on data from a load balancer of an object storage system, determines a trigger to perform a readahead of an object at the object storage system prior to receipt of a request related to the object, and a readahead component that, based on the trigger, executes the readahead of the object. The detection component can determine a pattern of use of the object storage system. The detection component can comprise or access a machine learning model to perform the determination.

Abstract: Systems and techniques that facilitate compact representation of object store workloads are provided. In various embodiments, a system can access a stream of object-storage operation requests associated with an object store. In various aspects, the system can identify a set of repeating object-storage operation sequences, based on the stream of object-storage operation requests. In various instances, the system can generate a set of distribution ensembles that quantify variation of first attributes associated with respective ones of the set of repeating object-storage operation sequences. In various cases, the stream of object-storage operation requests can be considered as fully and/or bulkily representing the workload experienced by the object store. In contrast, the set of distribution ensembles can be considered as compactly representing the workload experienced by the object store (e.g.

Abstract: Systems, methods, and machine-readable media are disclosed for running an executable object on an object storage system. An executable object including executable code is stored on a first storage node of an object storage system. The first storage node receives a request to run the executable object. The first storage node identifies the physical location of one or more data objects of interest to be processed by the executable object. The first storage node runs the executable object to process the identified one or more data objects. The first storage node receives a request from a second storage node of the object storage system for the executable object in response to one or more data objects of interest being located at the second storage node. The first storage node sends a copy of the executable object to the second storage node.