Abstract: The present invention provides a mechanism for fast routing of data in a Storage Area Network. A protocol interface module (PIM) interfaces with outside networks and the storage devices, such as over fiber channel (FC). The PIM encapsulates received data into a streaming protocol, enabling storage processors to direct data to/from the appropriate physical disk in a similar manner to the directing of network messages over the Internet or other network.

Abstract: The present invention provides a mechanism for fast routing of data in a Storage Area Network. A protocol interface module (PIM) interfaces with outside networks and the storage devices, such as over fiber channel (FC). The PIM encapsulates received data into a streaming protocol, enabling storage processors to direct data to/from the appropriate physical disk in a similar manner to the directing of network messages over the Internet or other network.

Abstract: A storage virtualization controller for transferring data between a host and a storage device at a wire-speed data transfer rate. A downstream processing element adapted for connection to the storage device is configurable coupled to an upstream processing element adapted for connection to the host. A central processing element coupled to the upstream processing element grants permission to the upstream processing element to transfer the data at the wire-speed rate without further involvement by the central processing element.

Abstract: A method and apparatus for collecting information from ports on a storage network and performing flow control is provided. The data collection method and apparatus includes, identifying a data type transported on the storage network, selecting a port-storage identifier to measure the data type transported across the storage network, monitoring the port-storage identifier on the storage network for the data type, and enumerating occurrences of the data type associated with the port-storage identifier while monitoring the port-storage identifier and the data type.

Abstract: Failover processing in storage server system utilizes policies for managing fault tolerance (FT) and high availability (HA) configurations. The approach encapsulates the knowledge of failover recovery between components within a storage server and between storage server systems. This knowledge includes information about what components are participating in a Failover Set, how they are configured for failover, what is the Fail-Stop policy, and what are the steps to perform when “failing-over” a component.

Abstract: A storage virtualization system for accessing at least one storage device for a virtual logical unit (VLUN) from at least one host. The system includes at least one upstream processing element (UPE) which is adapted for coupling to a corresponding host server. The system is further adapted for coupling to at least one storage device. The controller also includes a primary central processing element (CPE) that can be configurably coupled to the UPEs. The primary CPE permits data transfer to occur between a host and a storage device via the corresponding UPE. The controller further includes a backup CPE that can be configurably coupled to the UPEs. The backup CPE is configurable to permit the data transfer when the primary CPE becomes unavailable.

Abstract: A storage virtualization controller for transferring data between a host and a storage device at a wire-speed data transfer rate. A downstream processing element adapted for connection to the storage device is configurable coupled to an upstream processing element adapted for connection to the host. A central processing element coupled to the upstream processing element grants permission to the upstream processing element to transfer the data at the wire-speed rate without further involvement by the central processing element.

Abstract: A storage virtualization system for accessing at least one storage device for a virtual logical unit (VLUN) from at least one host. The system includes at least one upstream processing element (UPE) which is adapted for coupling to a corresponding host server. The system is further adapted for coupling to at least one storage device. The controller also includes a primary central processing element (CPE) that can be configurably coupled to the UPEs. The primary CPE permits data transfer to occur between a host and a storage device via the corresponding UPE. The controller further includes a backup CPE that can be configurably coupled to the UPEs. The backup CPE is configurable to permit the data transfer when the primary CPE becomes unavailable.

Abstract: A storage virtualization system for accessing at least one storage device for a virtual logical unit (VLUN) from at least one host. The system includes at least one upstream processing element (UPE) which is adapted for coupling to a corresponding host server. The system is further adapted for coupling to at least one storage device. The controller also includes a primary central processing element (CPE) that can be configurably coupled to the UPEs. The primary CPE permits data transfer to occur between a host and a storage device via the corresponding UPE. The controller further includes a backup CPE that can be configurably coupled to the UPEs. The backup CPE is configurable to permit the data transfer when the primary CPE becomes unavailable.

Abstract: Failover processing in storage server system utilizes policies for managing fault tolerance (FT) and high availability (HA) configurations. The approach encapsulates the knowledge of failover recovery between components within a storage server and between storage server systems. This knowledge includes information about what components are participating in a Failover Set, how they are configured for failover, what is the Fail-Stop policy, and what are the steps to perform when “failing-over” a component.

Abstract: Failover processing in storage server system utilizes policies for managing fault tolerance (FT) and high availability (HA) configurations. The approach encapsulates the knowledge of failover recovery between components within a storage server and between storage server systems. This knowledge includes information about what components are participating in a Failover Set, how they are configured for failover, what is the Fail-Stop policy, and what are the steps to perform when “failing-over” a component.

Abstract: A method and apparatus in a distributed processing environment for tracing events includes receiving a request to trace an event on a local processor, acquiring a sequence identifier associated with the local processor that associates the event with a chronological sequence of events on the local processor, storing the sequence identifier and information about the event in a local event trace associated with the local processor, providing the sequence identifer and information about the event to a remote processor for storage in a remote event trace.

Abstract: An intermediate network element deployed in a content delivery network is disclosed. The content delivery network cooperates its content delivery effort with other intermediate network element with similar capabilities. Distributing rules that govern the operations of the intermediate network element(s) are presented. These include the framework of the intermediate network element(s), the format of indicating part or whole of a rule specification to be distributed, the format of signatures for intermediate network elements to discover each other, the format of signaling other intermediate network elements that a rule is distributed to, and the method of determining the intermediate network element to distribute a rule to. In addition, authoring rules that are specific to real time streaming of contents are disclosed. A set of rule evaluation conditions are revealed that can be triggered based on different criteria during the streaming of real time contents.

Abstract: A Virtual Storage Server is provided for transferring data between a source storage device and one or more destination storage devices. A write command is issued to the one or more destinations for an amount of data. In response, one or more Transfer Ready Responses are returned indicating the amount of data the destinations are prepared to receive. The Virtual Storage Server then sends a read command to the source for an amount of data based on the amounts of data in the Transfer Ready Responses. The data is then transferred from the source storage device through the Virtual Storage Server to the one or more destination storage devices. Because data is transferred only in amounts that the destination is ready to receive, the Virtual Storage Server does not need a large buffer, and can basically send data received at wire speed. This process continues until the amount of data in the write command is transferred to the one or more destination storage devices.

Abstract: A method and apparatus for collecting information from ports on a storage network and performing flow control is provided. The data collection method and apparatus includes, identifying a data type transported on the storage network, selecting a port-storage identifier to measure the data type transported across the storage network, monitoring the port-storage identifier on the storage network for the data type, and enumerating occurances of the data type associated with the port-storage identifier while monitoring the port-storage identifier and the data type.

Abstract: A storage virtualization controller for transferring data between a host and a storage device at a wire-speed data transfer rate. A downstream processing element adapted for connection to the storage device is configurable coupled to an upstream processing element adapted for connection to the host. A central processing element coupled to the upstream processing element grants permission to the upstream processing element to transfer the data at the wire-speed rate without further involvement by the central processing element.

Abstract: A method and apparatus in a distributed processing environment for tracing events includes receiving a request to trace an event on a local processor, acquiring a sequence identifier associated with the local processor that associates the event with a chronological sequence of events on the local processor, storing the sequence identifier and information about the event in a local event trace associated with the local processor, providing the sequence identifer and information about the event to a remote processor for storage in a remote event trace.

Abstract: A storage virtualization system for accessing at least one storage device for a virtual logical unit (VLUN) from at least one host. The system includes at least one upstream processing element (UPE) which is adapted for coupling to a corresponding host server. The system is further adapted for coupling to at least one storage device. The controller also includes a primary central processing element (CPE) that can be configurably coupled to the UPEs. The primary CPE permits data transfer to occur between a host and a storage device via the corresponding UPE. The controller further includes a backup CPE that can be configurably coupled to the UPEs. The backup CPE is configurable to permit the data transfer when the primary CPE becomes unavailable.

Abstract: Failover processing in storage server system utilizes policies for managing fault tolerance (FT) and high availability (HA) configurations. The approach encapsulates the knowledge of failover recovery between components within a storage server and between storage server systems. This knowledge includes information about what components are participating in a Failover Set, how they are configured for failover, what is the Fail-Stop policy, and what are the steps to perform when “failing-over” a component.