Abstract: The present invention extends to methods, systems, and computer program products for implementing persistent reservation techniques for establishing ownership of one or more physical disks. These persistent reservation techniques can be employed to determine ownership of physical disks in a storage pool as well as in any other storage configuration. Using the persistent reservation techniques of the present invention, when a network partition occurs, a defender of a physical disk does not remove a challenger's registration key until the defender receives notification that the challenger is no longer in the defender's partition. In this way, pending I/O from applications executing on the challenger will not fail due to the challenger's key being removed until the proper ownership of the physical disk can be resolved.

Abstract: The present invention extends to methods, systems, and computer program products for implementing persistent reservation techniques for establishing ownership of one or more physical disks. These persistent reservation techniques can be employed to determine ownership of physical disks in a storage pool as well as in any other storage configuration. Using the persistent reservation techniques of the present invention, when a network partition occurs, a defender of a physical disk does not remove a challenger's registration key until the defender receives notification that the challenger is no longer in the defender's partition. In this way, pending I/O from applications executing on the challenger will not fail due to the challenger's key being removed until the proper ownership of the physical disk can be resolved.

Abstract: The representation of storage devices on computers (e.g., as logical volumes) may be complicated by the pooling of multiple storage devices in order to apply redundancy plans such as mirroring and checksumming. Presented herein is a storage device driver configured to operate as a storage device interface generating representations of the storage regions of the storage devices; to claim those regions as a storage controller; and to expose pooled storage regions as logical disks. Additionally, the storage device driver may support the inclusion of storage devices in a cluster, comprising nodes that may be appointed as managers of the storage pool configuration; as managers of the storage devices; as owners having exclusive read/write access to the storage pool or cluster resources; and as cluster resource writers having excusive write access to a cluster resource. The nodes of the cluster may interoperate to share the storage devices while avoiding write conflicts.

Abstract: A cluster based file service may operate on a cluster of two or more independent devices that have access to a common data storage. The file service may have a namespace definition with each device in the cluster, but may be modified by any device operating the file service. Each instance of the file service may identify and capture a command that changes the namespace structure and cause the change to be propagated to the other members of cluster. If one of the devices in the cluster does not successfully perform an update to the namespace structure, that device may be brought offline. The cluster based file service may permit adding or removing devices from the cluster while the file service is operating, and may provide a high throughput and high availability file service.

Abstract: The present invention extends to methods, systems, and computer program products for synchronizing state among load balancer components. Embodiments of the invention include load balancers using a consistent hashing algorithm to decide how new connections should be load balanced. Use of consistent hashing algorithm permits load balancers to work in a stateless manner in steady state. Load balancers start keeping flow state information (destination address for a given flow) about incoming packets when it is needed, i.e. such as, for example, when a change in destination host configuration is detected. State information is shared across load balancers in a deterministic way, which allows knowing which load balancer is authoritative (e.g., is the owner) for a given flow. Each load balancer can reach the authoritative load balancer to learn about a flow that cannot be determined locally.