Abstract: Techniques for cloning, writing to, and reading from file system metadata. Cloning involves identifying a first set of pointers included in a first root node in a file system metadata tree structure that stores file system metadata in leaf nodes of the tree structure, creating a first copy of the first root node that includes the first set of pointers, creating a second copy of the first root node that includes the first set of pointers, associating the first copy with a first view, and associating the second copy with a second view. Reading generally involves traversing the tree structure towards a target leaf node that contains data to be read. Writing generally involves traversing the tree structure in the same manner, but also creating copies of any nodes to be modified if those nodes are deemed to have a different treeID than a particular root node.

Abstract: Techniques for cloning, writing to, and reading from file system metadata. Cloning involves identifying a first set of pointers included in a first root node in a file system metadata tree structure that stores file system metadata in leaf nodes of the tree structure, creating a first copy of the first root node that includes the first set of pointers, creating a second copy of the first root node that includes the first set of pointers, associating the first copy with a first view, and associating the second copy with a second view. Reading generally involves traversing the tree structure towards a target leaf node that contains data to be read. Writing generally involves traversing the tree structure in the same manner, but also creating copies of any nodes to be modified if those nodes are deemed to have a different treelD than a particular root node.

Abstract: Techniques for cloning, writing to, and reading from file system metadata. Cloning involves identifying a first set of pointers included in a first root node in a file system metadata tree structure that stores file system metadata in leaf nodes of the tree structure, creating a first copy of the first root node that includes the first set of pointers, creating a second copy of the first root node that includes the first set of pointers, associating the first copy with a first view, and associating the second copy with a second view. Reading generally involves traversing the tree structure towards a target leaf node that contains data to be read. Writing generally involves traversing the tree structure in the same manner, but also creating copies of any nodes to be modified if those nodes are deemed to have a different treeID than a particular root node.

Abstract: Disclosed is an approach for implementing disaster recovery for virtual machines. Consistency groups are implemented for virtual machines, where the consistency group link together two or more VMs. The consistency group includes any set of VMs which need to be managed on a consistent basis in the event of a disaster recovery scenario.

Abstract: Techniques are disclosed for allocating shared resources to nodes in a distributed computing network system. Nodes request a lock for each instance of a computing resource (e.g., a virtual IP address associated with a service provided by the distributed computing network system) from a distributed lock manager. The distributed lock manager maintains a queue of requests for each instance of the shared resource. Upon receiving a lock from the distributed lock manager, the receiving node performs a fairness allocation protocol to determine whether to accept the lock. If so determined, the shared computing resources associated with the lock is configured.

Abstract: Systems, methods, and computer program products for managing a consensus group in a distributed computing cluster, by determining that an instance of an authority module executing on a first node, of a consensus group of nodes in the distributed computing cluster, has failed; and adding, by an instance of the authority module on a second node of the consensus group, a new node to the consensus group to replace the first node. The new node is a node in the computing cluster that was not a member of the consensus group at the time the instance of the authority module executing on the first node is determined to have failed.

Abstract: Techniques are disclosed for managing a high performance, fault-tolerant, strongly consistent, distributed key-value store system. The key-value store may store information, such as metadata for a distributed file system. Fault-tolerance means that the distributed key-value store continues to provide access to values in the key-value store in spite of a certain number of node failures. To provide this capability, the key-value store may store copies of (key, value) pair on N+1 nodes in order to provide fault tolerance for the failure of up to N nodes. In addition, metadata describing which nodes store a given value is stored on 2N+1 nodes and the distributed key-value store is sized such that there are 3N+1 nodes in a cluster. Doing so allows the key, value store to tolerate a failure of N nodes, while still maintaining a consistent and available key-value store.

Abstract: Techniques are disclosed which allow a secondary storage system to provide data to non-production workloads in conjunction with performing data backup and protection tasks. As disclosed, a secondary storage system exposes backup data stored by the secondary storage system to other workloads, such as test and development applications, data analytics, etc. These non-production workloads can run at the same time the secondary storage system provides backup services to a primary storage system. This consolidation eliminates the need for an enterprise to deploy separate storage clusters for analytics, test and development applications, etc. and eliminates unnecessary copies of data.

Abstract: One embodiment of the invention includes a system for performing intelligent disaster recovery. The system includes a processor and a memory. The memory stores a first monitor application that, when executed on the processor, performs an operation. The operation includes communicating with a second monitor application hosted at a secondary data center to determine an availability of one or more computer servers at a primary data center. The operation also includes upon reaching a consensus with the second monitor application that one or more computer servers at the primary data center are unavailable to process client requests, relative to both the first monitor application and the second monitor application, initiating a failover operation. Embodiments of the invention also include a method and a computer-readable medium for performing intelligent disaster recovery.

Abstract: Disclosed is an approach for implementing disaster recovery for virtual machines. Consistency groups are implemented for virtual machines, where the consistency group link together two or more VMs. The consistency group includes any set of VMs which need to be managed on a consistent basis in the event of a disaster recovery scenario.

Abstract: A system for communicating to a storage controller in a virtualization environment, including a plurality of nodes, wherein the plurality of nodes implements a virtualization environment, and a node comprises a hypervisor and multiple user virtual machines; a plurality of storage devices that are accessed by the virtual machine; and a storage controller implemented as a service virtual machine on the node to manage access by the multiple user virtual machines to the plurality of storage devices, wherein a networking protocol is used to communicate between the multiple user virtual machines and the storage controller.

Abstract: Disclosed is an improved approach for implementing and maintaining writable snapshots. An efficient approach is provided for implementing snapshots that can be used to immediately create snapshots without incurring any detectable delays in providing access to the new snapshots. Also described are improved metadata structures that can be used to implement and maintain the writable snapshots.

Abstract: A system for implementing a virtual disk in a virtualization environment, including a plurality of nodes, wherein the plurality of nodes implements a virtualization environment, and a node comprises a hypervisor, user virtual machines, and a storage controller implemented as a service virtual machine; a plurality of storage devices that are accessed by user virtual machines and are managed by storage controllers, in which a first and a second virtual disk (vDisk) are formed from the plurality of storage devices and the first virtual disk is accessible by just a first user virtual machine and the second virtual disk is accessible by just a second user virtual machine.

Abstract: Disclosed is an improved approach to implement I/O and storage device management in a virtualization environment. According to some approaches, a Service VM is employed to control and manage any type of storage device, including directly attached storage in addition to networked and cloud storage. The Service VM implements the Storage Controller logic in the user space, and can be migrated as needed from one node to another. IP-based requests are used to send I/O request to the Service VMs. The Service VM can directly implement storage and I/O optimizations within the direct data access path, without the need for add-on products.

Abstract: Disclosed is an improved approach for using advanced metadata to implement an architecture for managing I/O operations and storage devices for a virtualization environment. According to some embodiments, a Service VM is employed to control and manage any type of storage device, including directly attached storage in addition to networked and cloud storage. The advanced metadata is used to track data within the storage devices. A lock-free approach is implemented in some embodiments to access and modify the metadata.

Abstract: Several methods and a system of a workload management of a concurrently accessed database server are disclosed. In one embodiment, a method includes applying a weight to a service class. The method also includes generating a priority of the service class. In addition, the method includes selecting a group based on the weight of the service class. The method further includes determining a priority level based on the priority of the service class. The method also includes generating a characteristic of a shadow process through the weight and the priority of the service class. In addition, the method includes executing a query.

Abstract: Several methods and a system of a replicated service for write ahead logs are disclosed. In one embodiment, a method includes persisting a state of a distributed system through a write ahead log (WAL) interface. The method also includes maintaining a set of replicas of a WAL through a consensus protocol. In addition, the method includes providing a set of mechanisms for at least one of detection and a recovery from a hardware failure. The method further includes recovering a persistent state of a set of applications. In addition, the method includes maintaining the persistent state across a set of nodes through the hardware failover. In one embodiment, the system may include a WAL interface to persist a state of a distributed system. The system may also include a WAL replication servlet to maintain and/or recover a set of replicas of a WAL.

Abstract: Several methods and a system of a replicated service for write ahead logs are disclosed. In one embodiment, a method includes persisting a state of a distributed system through a write ahead log (WAL) interface. The method also includes maintaining a set of replicas of a WAL through a consensus protocol. In addition, the method includes providing a set of mechanisms for at least one of detection and a recovery from a hardware failure. The method further includes recovering a persistent state of a set of applications. In addition, the method includes maintaining the persistent state across a set of nodes through the hardware failover. In one embodiment, the system may include a WAL interface to persist a state of a distributed system. The system may also include a WAL replication servlet to maintain and/or recover a set of replicas of a WAL.

Abstract: Disclosed is an improved approach to implement I/O and storage device management in a virtualization environment. According to some approaches, a Service VM is employed to control and manage any type of storage device, including directly attached storage in addition to networked and cloud storage. The Service VM implements the Storage Controller logic in the user space, and can be migrated as needed from one node to another. IP-based requests are used to send I/O request to the Service VMs. The Service VM can directly implement storage and I/O optimizations within the direct data access path, without the need for add-on products.

Abstract: Disclosed is an approach for overseeing the overall state of a virtual storage system, and for taking actions as necessary to manage the health and efficient performance of that system. A curator entity is provided on a distributed basis to manage and perform these functions. A master curator manages this workload that is performed by multiple slave curators. MapReduce operations are performed to implement the curator workload. Periodically, the master curator coordinates a full scan of all the metadata in the system using three MapReduce operations. Partial scans may also be run using a single MapReduce operation.