Abstract:
Aspects of the subject matter described herein relate to client affinity in distributed load balancing systems. In aspects, a request from a requestor is sent to each server of a cluster. Each server determines whether it has affinity to the requestor. If so, the server responds to the request. Otherwise, if the request would normally be load balanced to the server, the server queries the other servers in the cluster to determine whether any of them have affinity to the requestor. If one of them does, the server drops the request and allows the other server to respond to the request; otherwise, the server responds to the request.
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.
Abstract:
Embodiments provide a method and system for sharing storage among a plurality of virtual machines. Specifically, one or more embodiments are directed to sharing a virtual hard disk with various virtual machines in a virtual machine cluster. In embodiments, a command is sent from a virtual machine to a local parser. The parser prepares the command for transport over a file system protocol. The command is sent to a remote file server using the file system protocol. When the command is received by the file server, the file server unpacks the command, determines features about the command and converts the command to a format that executes the command on the virtual shared storage.
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.