Dell Products Inc.

Emc IP Holding Company LLC

Chegu Vinod

Philip N Shilane

George Mathew

Abhinav Duggal

Anurag Sharma

Jehuda Shemer

Yossef Saad

Ravi Vijayakumar Chitloor

Mahesh Kamat

William Price Dawkins

Arun Murti

Donna Barry Lewis

Bhimsen Bhanjois

Lihui Su

James Morton

Ming Zang

A system detects a failed server in a cluster of servers, which are controlled by a master node to execute applications and store data, in service tiers, which correspond to sets of server performance characteristics, in storage domains, which correspond to server racks, in the cluster of servers. By accessing a cluster database, the system identifies applications installed on the failed server and any affinities that the identified applications have for any type of server, any service tier, and/or any storage domain. The system uses the cluster's current configuration to update the identified affinities for the identified applications. After the updated affinities for the identified applications is provided to the cluster database, a master node is enabled to identify replacement server(s), for the identified applications, and install the identified applications in the identified replacement server(s), thereby enabling the replacement server(s) to substitute for the failed server and store data.

Managing storage domains, service tiers, and failed servers

A distributed and deduplicating file system that stores backup data to object storage is described. A node, in a cluster of nodes, receives a write operation to back up a data file, and identifies backup data associated with the write operation. The node identifies deduplicated data by deduplicating the backup data. The cluster stores the deduplicated data to each of the buffers which corresponds to a node in the cluster. If the node determines that the size of information, which includes the deduplicated data, stored to each of the buffers has accumulated to become greater than or equal to an object threshold, then the node writes the information, which includes the deduplicated data, stored in each of the buffers to an object storage which stores data for the nodes in the cluster.

Distributed and deduplicating file system for storing backup data to object storage

A system for providing data protection services for data hosted by composed information handling systems includes a system includes a system control processor manager. The manager obtains a data protection architecture; identifies, based on the data protection architecture, first computing resources for a first pool that provides a first set of functionalities of the data protection services; identifies, based on the data protection architecture, second computing resources for a second pool that provides a second set of functionalities of the data protection services; assigns, based on hardware components of the first computing resources, a portion of the first set of functionalities to a first portion of the first computing resources; assigns, based on the hardware components of the first computing resources, a second portion of the first set of functionalities to a second portion of the first computing resources; and instantiates, based on the assignments, the data protection architecture.

System and method for dynamic data protection architecture

Embodiments are described for providing backup resources in a multi-tier network, by providing a plurality of different storage devices, each with different operating characteristics and costs for storage of data assets, and organizing the storage devices into a plurality of tiers based on respective operating characteristics, such as based on performance versus cost parameters. Certain Service Level Agreements (SLAs) dictating storage requirements for each of the data assets to a backup program are provided to the backup system, and a mapper maps each SLA to one or more tiers of the plurality of tiers based on the storage requirements of a respective SLA to the operating characteristics of each tier.

Mapping service level agreements for backup systems to multiple storage tiers in a clustered network

Embodiments for performing the inline deduplication by filtering streaming data as it is received by a backup client through a backup server executing a backup process. A data processing unit (DPU) is deployed to offload certain processing operations performed by a central processing unit (CPU) of the backup client. An inline deduplication operation comprises file operations, data segmentation, segment fingerprinting, compression, and encryption prior to storage in a backup target. The DPU is deployed and configured to perform the compression and encryption steps, the entire inline deduplication stack, or the entire inline deduplication stack plus the file system operations.

Offloading client-side deduplication operations using a data processing unit

Embodiments are described for migrating data and load balancing in a multi-domain network having a clustered network partitioned into a number of separate domains. Each domain contains resources like processors and memory, as well as deduplication and compression services. A single global namespace for the network is presented by combining all of the namespaces in the domains. A multi-domain manager component with an analytics engine facilitates analytics-driven migration of data among nodes in different domains, and a load balancer component monitors environmental operating conditions of each node in the clustered network, detects nodes having operating conditions exceeding defined tolerances, and migrates data and processes from nodes exceeding the defined tolerances to other nodes not exceeding the defined tolerances.

Data migration and namespace management across domains in multi-domain clustered file systems

A distributed and deduplicating file system that stores backup metadata to object storage is described. A node, in a cluster of nodes, receives backup data associated with a write operation to back up a data file, and identifies metadata associated with deduplicated data by deduplicating the backup data. If the access frequency associated with the metadata is greater than or equal to an access threshold, and the size of the metadata is less than or equal to a storage threshold, the cluster writes the metadata to each of the memory devices corresponding to the nodes in the cluster. If the access frequency associated with the metadata is less than the access threshold, or the size of the metadata is more than the storage threshold, the node writes information which includes the metadata to an object storage that stores data objects for the nodes in the cluster.

Distributed and deduplicating file system for storing backup metadata to object storage

Embodiments are described for a multi-domain and multi-tier architecture for clustered network file systems. This system allows a user to create sub-cluster of physical nodes, called domains, and file system resources for the data placed in a domain are allocated only from the nodes in the domain. It limits the impact of system failures to the files within a domain. A file system redirection service manages a global namespace spanning the domains and redirects file accesses to the appropriate domain where it is stored. In each domain, there are different classes of storage, tiers, with different cost and performance characteristics. Files can be placed on a set of tiers depending on a storage level agreement (SLA) specified for a file. Tier examples include a higher performance tier consisting of SSDs and a lower performance tier of HDDs.

Multi-domain and multi-tier scale-out architecture for clustered file systems

Described is a system that provides for granular and customized upgrades of sub-systems deployed within a third-part system. The system generates an upgrade manager service for implementation of a first sub-system upgrade package from within a third-party system that hosts the first sub-system. The system generates the first sub-system upgrade package according to a compatibility with a first sub-system version currently deployed in the third-party system to update the first sub-system with a feature(s) available in an upgraded version of the first sub-system. The system sends the upgrade manager service to the third-party system. The system receives a first request for the first sub-system upgrade package from the upgrade manager service running in the third-party system. The system sends the first sub-system upgrade package for implementation at the first sub-system by the upgrade manager service running in the third-party system.

Flexible upgrade of multi-subsystem products

A system detects failed service tier in cluster of servers, which are controlled by master node to execute applications and store data, in service tiers, which correspond to sets of server performance characteristics, in storage domains, which correspond to server racks, in cluster. The system identifies, by accessing database, applications installed on servers in failed service tier and any affinities that identified applications have for any type of server, any service tier, and/or any storage domain. The system updates, based on current configuration of cluster, identified affinities for identified applications. The system enables, by providing updated affinities for identified applications in database, master node to identify replacement servers, for identified applications, corresponding to set of server performance characteristics and server rack, and install identified applications in replacement servers, thereby enabling replacement servers to substitute for failed service tier and store data.

Managing storage domains, service tiers, and failed service tiers

A system for managing composed information handling systems includes information handling systems and a composed information handling system of the composed information handling systems, which includes at least one compute resource set, at least one control resource set, and at least one hardware resource set. The system also includes a system control processor that obtains a bare metal communication from a compute resource set indicating a write of data, writes a first copy of the data in a storage resource of the at least one hardware resource set, writes a second copy of the data in a trace volume, generates a backup of the data using the trace volume, and stores the backup in a storage.

System and method for backup generation using composed systems

System detects failed storage domain in servers cluster, controlled by master node to execute applications and store data, in service tiers, corresponding to server performance characteristics, in storage domains, corresponding to server racks, in cluster. System identifies, by accessing database, applications installed on servers in service tiers in failed storage domain and any affinities that identified applications have for server types, service tiers, and/or storage domains. System updates, based on current configuration of cluster, identified affinities for identified applications. System enables, by providing updated affinities for identified applications in cluster database, master node to identify first and second set of replacement servers, for identified applications, corresponding to server rack and first and second set of server performance characteristics, and install identified applications in first and second set of replacement servers, enabling first and second set of replacement servers to substitute for failed storage domain and store data.

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Chegu Vinod