Abstract: A method, non-transitory computer readable medium, and system node computing device that facilitate a NoSQL datastore with integrated management. In some embodiments, this technology provides a fast, highly available, and application integrated NoSQL database that can be established in a data storage network such that various data management policies are automatically implemented. This technology enables application administrators to more effectively leverage NoSQL databases by storing data in tables located on storage nodes in groups and zones that have associated SLCs, as previously established upon creation of the tables or an associated entity group or database. Accordingly, management of the data is relatively integrated and data tiering can be more efficiently implemented.

Abstract: A method, non-transitory computer readable medium, and system node computing device that generates a snapshot identifier and returns the snapshot identifier in response to a received request to create a snapshot of a No SQL database. When an entry in a transaction table has a first transaction value corresponding to a transaction that has been committed and a second transaction value that is not assigned or corresponds to another transaction that has not been committed, is determined. The snapshot identifier is inserted into the entry when the entry is determined to have the first transaction value corresponding to the transaction that has been committed and the second transaction value that is not assigned or corresponds to the another transaction that has not been committed.

Abstract: A dynamic caching technique adaptively controls copies of data blocks stored within caches (“cached copies”) of a caching layer distributed among servers of a distributed data processing system. A cache coordinator of the distributed system implements the dynamic caching technique to increase the cached copies of the data blocks to improve processing performance of the servers. Alternatively, the technique may decrease the cached copies to reduce storage capacity of the servers. The technique may increase the cached copies when it detects local and/or remote cache bottleneck conditions at the servers, a data popularity condition at the servers, or a shared storage bottleneck condition at the storage system. Otherwise, the technique may decrease the cached copies at the servers.

Abstract: Systems, devices, and methods are described for performing content-aware task assignment. A resource manager in a distributed computing system can identify tasks associated with a file. Each task can involve processing multiple data blocks of the file (e.g., in parallel with other processing by other tasks). The resource manager can provide block identifiers for the blocks to each of multiple computing nodes. Each computing node can store a respective subset of the blocks in a respective cache storage medium. Each subset of blocks stored at a node can be identified from the block identifiers. The resource manager can assign the task to a selected one of the computing nodes. The task can be assigned based on the selected computing node having larger subset of the blocks than one or more other computing nodes in the distributed computing system. In some embodiments, computing nodes can de-duplicate cached data using block identifiers.

Abstract: It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. A candidate solution is identifier. An estimated impact of a residual workload is determined based, at least in part, on the candidate solution. A level of caching of at least one of the first workload or the second workload is adjusted based, at least in part, on the estimated impact of the residual workload.

Abstract: A change in workload characteristics detected at one tier of a multi-tiered cache is communicated to another tier of the multi-tiered cache. Multiple caching elements exist at different tiers, and at least one tier includes a cache element that is dynamically resizable. The communicated change in workload characteristics causes the receiving tier to adjust at least one aspect of cache performance in the multi-tiered cache. In one aspect, at least one dynamically resizable element in the multi-tiered cache is resized responsive to the change in workload characteristics.

Abstract: Described herein is a system and method for an efficient cache warm-up. The system and method may copy data blocks from a primary storage device to a cache memory device. The system and method may identify a subset of data blocks stored on the primary storage device as candidate data blocks for copying to the cache memory device during a cache warm-up period. A cost effectiveness for copying the candidate data blocks to the cache memory device may be determined. In some embodiments, the cost effectiveness may be calculated based on one or more latency values associated with the primary storage device and the cache memory device. The candidate data blocks may be copied to the cache memory device based on the cost effectiveness.

Abstract: Embodiments of the systems and techniques described here can leverage several insights into the nature of workload access patterns and the working-set behavior to reduce the memory overheads. As a result, various embodiments make it feasible to maintain running estimates of a workload's cacheability in current storage systems with limited resources. For example, some embodiments provide for a method comprising estimating cacheability of a workload based on a first working-set size estimate generated from the workload over a first monitoring interval. Then, based on the cacheability of the workload, a workload cache size can be determined. A cache then can be dynamically allocated (e.g., change, possibly frequently, the cache allocation for the workload when the current allocation and the desired workload cache size differ), within a storage system for example, in accordance with the workload cache size.

Abstract: It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. In response to a determination that the metric is impacted by the first workload and the second workload accessing the same storage resources, a first virtual cache appliance is instantiated and one of the first workload or the second workload is routed through the virtual cache appliance. Routing one of the first workload or the second workload through the first virtual cache appliance causes the first virtual cache appliance to cache data associated with the storage resources.

Abstract: System and method for processing cache metadata from a plurality of cache devices. One or more storage systems may store data blocks to a set of storage devices, each storage system hosting and operating one or more cache devices for caching data blocks of the storage devices. Each cache device may host and implement an agent engine that collects and stores cache metadata for the cache device, the cache metadata describing caching operations of the cache device. A monitor engine receives and aggregates “raw cache metadata” from each of a plurality of cache devices and processes the raw cache metadata to produce processed cache metadata comprising normalized cache metadata (based on activity rate of a cache device), weighted cache metadata, or normalized weighted cache metadata. The processed cache metadata is used by a cache prediction engine to select data blocks for caching to one or more of the cache devices.

Abstract: The techniques introduced here provide for efficient management of storage resources in a modern, dynamic data center through the use of virtual storage appliances. Virtual storage appliances perform storage operations and execute in or as a virtual machine on a hypervisor. A storage management system monitors a storage system to determine whether the storage system is satisfying a service level objective for an application. The storage management system then manages (e.g., instantiates, shuts down, or reconfigures) a virtual storage appliance on a physical server. The virtual storage appliance uses resources of the physical server to meet the storage related needs of the application that the storage system cannot provide. This automatic and dynamic management of virtual storage appliances by the storage management system allows storage systems to quickly react to changing storage needs of applications without requiring expensive excess storage capacity.

Abstract: Methods, systems, and computer executable instructions for performing distributed data analytics are provided. In one exemplary embodiment, a method of performing a distributed data analytics job includes collecting application-specific information in a processing node assigned to perform a task to identify data necessary to perform the task. The method also includes requesting a chunk of the necessary data from a storage server based on location information indicating one or more locations of the data chunk and prioritizing the request relative to other data requests associated with the job. The method also includes receiving the data chunk from the storage server in response to the request and storing the data chunk in a memory cache of the processing node which uses a same file system as the storage server.

Abstract: Methods, systems, and computer executable instructions for performing distributed data analytics are provided. In one exemplary embodiment, a method of performing a distributed data analytics job includes collecting application-specific information in a processing node assigned to perform a task to identify data necessary to perform the task. The method also includes requesting a chunk of the necessary data from a storage server based on location information indicating one or more locations of the data chunk and prioritizing the request relative to other data requests associated with the job. The method also includes receiving the data chunk from the storage server in response to the request and storing the data chunk in a memory cache of the processing node which uses a same file system as the storage server.

Abstract: A system and method for performing a backup operation is described. A source system determines a set of files to be backed up at a backup system. Based on one or more attributes of each file of the set of files, the source system determines an order in which to perform the backup operation for the set of files. The order specifies an individual file of the set of files to be backed up before another file of the set of files. The source system communicates with the backup system to perform the backup operation of the set of files in the determined order.

Abstract: Technology for operating a cache sizing system is disclosed. In various embodiments, the technology monitors input/output (IO) accesses to a storage system within a monitor period; tracks an access map for storage addresses within the storage system during the monitor period; and counts a particular access condition of the IO accesses based on the access map during the monitor period. When sizing a cache of the storage system that enables the storage system to provide a specified level of service, the counting is for computing a working set size (WSS) estimate of the storage system.

Abstract: Collaborative management of shared resources is implemented by a storage server receiving, from a first resource manager, notification of a violation for a service provided by the storage server or device coupled to the storage server. The storage server further receives, from each of a plurality of resource managers, an estimated cost of taking a corrective action to mitigate the violation and selects a corrective action proposed by one of the plurality of resource managers based upon the estimated cost. The storage server directs the resource manager that proposed the selected corrective action to perform the selected corrective action.

Abstract: Technology is disclosed for managing network storage services by service level objectives (SLOs). The method receives multiple service level capability (SLC) templates; creates at least one storage service level (SSL) instance using at least one of the SLC templates; provisions a storage object located in a network storage infrastructure based on the SSL instance; and services storage requests using the storage object.

Abstract: Technology is described for actively responding to data storage traffic. The technology can provide an application program interface; receive, via the application program interface, from an application, a command to query a data storage attribute associated with a virtual data storage component; query the associated virtual data storage component; and return to the application a value for the data storage attribute.

Abstract: Technology is described for a profile-based lifecycle management for data storage servers. The technology can receive a profile, monitor events emitted by devices of the data storage system, determine based on the monitored events that a device of the storage system matches the indicated condition, and perform the action corresponding to the indicated condition, wherein the action includes managing data stored by the data storage system. The received profile can indicate a condition and an action corresponding to the condition.

Abstract: Technology is described for a profile-based lifecycle management for data storage servers. The technology can receive a profile, monitor events emitted by devices of the data storage system, determine based on the monitored events that a device of the storage system matches the indicated condition, and perform the action corresponding to the indicated condition, wherein the action includes managing data stored by the data storage system. The received profile can indicate a condition and an action corresponding to the condition.