Abstract: In one embodiment, a system for managing a virtualization environment comprises a plurality of host machines, one or more virtual disks comprising a plurality of storage devices, a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines, and a backup system configured to, in response to a request to access a data item, determine an access frequency for the data item. The backup system is further configured to, in response a request to store a data item, determine a storage tier at which the data item is to be stored in a cloud storage service, wherein the tier is determined based on the access frequency associated with the data item, and store the data item at the determined tier of the cloud storage service.

Abstract: A system and method include determining, by a telemetry control system of a telemetry system that an agent associated with the telemetry control system terminated during operation. The agent collects telemetry data from data sources associated with the telemetry system. The system and method also include determining that a number of times the agent has terminated is greater than a predetermined threshold, restarting the agent after a first predetermined delay in response to exceeding the predetermined threshold, and determining that the agent terminated again within a predetermined time period upon restarting. The system and method further include updating a configuration file of the agent in response to the termination within the predetermined time period and restarting the agent with the updated configuration file. The updating is based upon an agent termination record of the agent.

Abstract: A computer implemented method implemented with a processor for assigning a unique identifier for a data item initially deployed at a node of a networked environment includes determining a unique node identifier for the node of the networked environment, atomically modifying a local counter value at the node of the networked environment, and appending the unique node identifier to the atomically modified local counter value at the node of the networked environment to form a unique ID for the data item.

Abstract: In one embodiment, a system for migrating virtual machines in a virtualization environment includes a plurality of host machines implementing the virtualization environment and a migration controller. Each of the host machines includes a hypervisor, one or more user virtual machines (UVMs) and a virtual machine controller. The system further implements a virtual disk comprising a plurality of storage devices, the virtual disk being accessible by the virtual machine controllers, which conduct I/O transactions with the virtual disk. The migration controller determines a segment size and, for each host machine, determines a number of required segments for the UVMs running on the host machine. The controller computes a number of reserved segments based on a total number of host machines and a largest one of the numbers of required segments. The reserved segments are then assigned among the plurality of host machines.

Abstract: An illustrative embodiment disclosed herein is an object store with distributed caching including a distributed cache cluster including a first cache on a first node device and a second cache on a second node device. The object store with distributed caching further includes a gateway server communicatively coupled to the distributed cache cluster. The gateway server receives a request to store an object from a client device, determines whether the object satisfies an object policy, determines whether the request indicates that the object is to be split up into a plurality of shards, and stores a first shard of the plurality of shards in the first cache and a second shard of the plurality of shards in the second cache.

Abstract: A system and method include tracking virtual entities in a hybrid cloud system.

Abstract: A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement (“SLA”) and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

Abstract: A system and method include associating, by a database system of a virtual computing system, a protection schedule with each source database provisioned in the database system, the protection schedule defining a frequency of capturing snapshots and a frequency of capturing transactional logs, capturing, by the database system for each of the source databases, snapshots and transactional logs based upon the frequency of capturing snapshots and the frequency of capturing transactional logs, respectively, and receiving, by the database system, a request identifying a point in time for creating a cloned database from a first source database. The system and method also include retrieving, by the database system, the snapshots and the transactional logs corresponding to the point in time and creating, by the database system, the cloned database by combining data in storage locations identified in the transactional logs and the data in remaining storage locations identified in the snapshots.

Abstract: Systems for distributed data storage. A method commences upon accessing a set of data items that describe computing nodes to be organized into a ring topology. The ring topology and distributed data storage policies are characterized by quantitative failure-resilient characteristics such as a replication factor. Various characteristics of the topology serve to bound two or more availability domains of the ring into which the computing nodes can be mapped. A set of quantitative values pertaining to respective quantitative failure-resilient characteristics are used for enumerating candidate ring topologies where the computing nodes are mapped into the availability domains. Using the quantitative failure-resilient characteristics, alternative candidate ring topologies are evaluated so as to determine a configuration score for candidate ring topologies. A candidate ring topology is configured based on a computed configuration score surpassing a threshold score.

Abstract: Disclosed herein are related to a method, a system, and a non-transitory computer readable medium for backing up a virtual machine. In one aspect, an instruction to store a requested state of a virtual machine is received. Configurations of the virtual machine in the requested state are determined, and a configuration data indicative of the determined configurations of the virtual machine is generated. The configuration data is stored. Another instruction to load the virtual machine in the requested state from a plurality of states of the virtual machine may be received. The stored configuration data indicative of the configurations of the virtual machine in the requested state may be retrieved. The configurations of the virtual machine in the requested state may be identified based on the retrieved configuration data, and the virtual machine in the requested state may be loaded according to the identified configurations.

Abstract: A method and apparatus for using cache size estimations for guiding hot-tier insertion decisions. The method and apparatus include an adaptive management element that determines what accesses of a resource should be logged and the parameters for logging. The determinations are used to configure an adaptive logging element to log only accesses corresponding to the selected resource(s) and to log only those accesses that match the identified parameters. The adaptive management element operates in a feedback loop: first determining what will be logged and second implementing that determination by an adaptive logging element. Upon a triggering event, the process returns to the first determination based on any then current parameters. In some embodiments, the parameters include a size estimate to achieve a given target hit rate (target hit rate size estimate) that is used in generating a score or weighting to identify the highest/best scoring/weighted disk(s) for logging.

Abstract: Entries in individual portions of a network map serve to establish inter-cluster routes that are formed from routing data structures at individual clusters, which routing data structures store connection parameters pertaining to access point nodes in a multi-cluster computing environment. Upon receiving a resource management request at one of the access points, the request parameters are used in combination with the network map to identify at least one target access point having a virtual machine for responding to the resource management request. The resource management request is routed to a next hop access point node on route(s) to target access points. If the next hop access point node is not the node to respond to the resource management request, then processing at the next hop node serves to route the resource management request to a further next hop access point node on a route to the target access point.

Abstract: A database system associated with a plurality of source databases in a virtual computing system includes a dashboard having a main menu for providing a plurality of control functions and a body that dynamically changes based upon the plurality of control functions that are selected. The dashboard includes a homepage for displaying a plurality of cells in the body, including a first cell for displaying a list of the plurality of source databases. The main menu includes a first control function, the selection of which triggers a database provisioning service by presenting options to either create a new source database or register an existing database within the body and a second control function, the selection of which triggers a copy data management service by presenting an option to create a new cloned database.

Abstract: Systems for distributed resource system management. A first computing system operates in a first computing environment. A predictive model is trained in the first computing environment to form a trained resource performance predictive model that comprises a set of trained model parameters to capture at least computing and storage IO parameters that are responsive to execution of one or more workloads that consume computing and storage resources in the first computing environment. When the trained resource performance predictive model is deployed to a second computing environment, various computing system configuration differences, and/or workload differences and/or other differences between the first computing environment and the second computing environment are detected and measured.

Abstract: A system and method include determining underprovisioning of a guest physical memory of a virtual machine running on a computing node. The node includes hardware resources that are mapped the guest physical memory by a hypervisor. The hypervisor receives page fault information from the virtual machine based on page faults in the virtual machine. The hypervisor generates a table that includes virtual memory address-process indicator pair entries and corresponding page fault numbers. The hypervisor removes those entries that have a corresponding page fault number that is less than a first threshold value. The hypervisor determines a size of a revolving memory based on the number of remaining entries and a page size of the guest physical memory. If the revolving memory size is less than a second threshold value in relation to the allocated size of the guest physical memory, the hypervisor indicates underprovisioning of the guest physical memory.

Abstract: An illustrative embodiment disclosed herein is an object store with distributed caching including a distributed cache cluster including a first cache on a first node device and a second cache on a second node device. The object store with distributed caching further includes a gateway server communicatively coupled to the distributed cache cluster. The gateway server receives a request to store an object from a client device, determines whether the object satisfies an object policy, determines whether the request indicates that the object is to be split up into a plurality of shards, and stores a first shard of the plurality of shards in the first cache and a second shard of the plurality of shards in the second cache.

Abstract: An improved architecture is provided which enables significant convergence of the components of a system to implement virtualization. The infrastructure is VM-aware, and permits scaled out converged storage provisioning to allow storage on a per-VM basis, while identifying I/O coming from each VM. The current approach can scale out from a few nodes to a large number of nodes. In addition, the inventive approach has ground-up integration with all types of storage, including solid-state drives. The architecture of the invention provides high availability against any type of failure, including disk or node failures. In addition, the invention provides high performance by making I/O access local, leveraging solid-state drives and employing a series of patent-pending performance optimizations.

Abstract: An apparatus for computing node mapping within a server rack, and a method therefore, are discussed. The apparatus includes a processor configured to control a transceiver to receive a request to register computing nodes installed in a server rack; provide, in response to determining that a scan of a respective node tag of a computing node of the computing nodes installed in a server rack is different than a particular order, an alert indicating an out of order scan; add, in response to determining that the scan of the respective node tag of the computing node complies with the particular order, respective node information received via the respective node tag to server rack node information; and after completing the iterative scan of the respective node tags of the computing nodes installed in the server rack, provide the server rack node information to the administrator system.

Abstract: An illustrative embodiment disclosed herein is a host device including a plurality of virtual machines and a controller virtual machine configured to compute a plurality of central processing unit (CPU) usages corresponding to the plurality of virtual machines. The controller virtual machine is further configured to compute a total usage as a sum of the plurality of CPU usages and to flag one or more outlier virtual machines of the plurality of virtual machines responsive to one or more exceeding CPU usages of the one or more outlier virtual machines being greater than a threshold usage. The controller virtual machine is further configured to assign weights to the one or more outlier virtual machines and to select, for virtual machine migration, a first outlier virtual machine of the one or more outlier virtual machines responsive to the total usage being greater than a target usage.

Abstract: An illustrative embodiment disclosed herein is a cluster including a plurality of host devices. The plurality of host devices include a first host device. The cluster further includes a cluster controller that receives indication of a contention on the first host device. The cluster controller selects a plurality of candidate host devices among the plurality of host devices based on a plurality of host CPU usages of the plurality of candidate host devices. The cluster controller computes a plurality of projected CPU usages of the plurality of candidate host devices. The cluster controller selects a target host device among the plurality of candidate host devices based on the plurality of projected CPU usages of the plurality of candidate host devices.