Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

Lsi Corporation

Animesh Singh

Steven T McClure

Sairam Veeraswamy

Vasudevan Subramanian

Hongliang Tang

Thirumale N Niranjan

Karthikeyan Srinivasan

Serge Joseph Pirotte

Steve Chalmer

Joji John

Srinivasa Raju Chamarthy

Gregory W Lazar

Weixing Wang

Velmurugan Rathnam

Venkata Kumar Duvvuru

Vetrivel M

A distributed data storage system includes clusters of data storage appliances interconnected by an inter-cluster (IC) network having an IC namespace. Storage processing (SP) nodes exchange management traffic using mesh network (MN) addresses of a separate MN namespace. Gateways provide IC tunnels for routing management traffic among the clusters using IC network addresses. Operation includes, in each gateway for traffic from a local SP node destined for a remote SP node of another cluster, (1) performing a routing check based on a routing rule associating an MN destination address with a dummy MN address further associated with a respective IC tunnel, (2) applying a tunnel configuration rule of the IC tunnel associating the MN destination address with the IC network address of a remote gateway for the remote SP, and (3) forwarding the traffic on the respective IC tunnel using the IC network address of the remote gateway.

Distributed data storage system with tunneling of management requests among scale-out clusters

Techniques for managing snapshots of a storage object in a data storage system based on the data churn delta between the latest snapshot and the current data of the storage object. The techniques include, having specified minimum and maximum data loss tolerances for a parent object, creating successive snapshots of the parent object, each snapshot being created at a scheduled time interval or a time when the minimum data loss tolerance has been reached/exceeded. The techniques include obtaining the total data churn between the latest snapshot and the parent data, and determining whether the total data churn has reached or exceeded the maximum data loss tolerance. The techniques include, having determined that the total data churn has reached or exceeded the maximum data loss tolerance, retaining only those snapshots that have not exceeded the maximum data loss tolerance, and discarding all snapshots that have exceeded the maximum data loss tolerance.

Snapshot management based on data churn delta

Techniques are disclosed for managing workloads across a distributed virtual infrastructure. In one example, a method comprises the following steps. Information is collected relating to services offered by service providers across a multi cloud environment implemented in accordance with a distributed virtual infrastructure. A service capability model is maintained based on the collected information. Service level claim conformance is validated for the services offered by the service providers. One or more recommendations are generated based on the collecting, maintaining and validating steps for presentation to a subscriber to assist in management of one or more workloads across the multi cloud environment.

Workload management in multi cloud environment

When a guest OS loads within the context of a container provided by the host OS, the guest OS uses PCI or other protocol to specify a virtual hardware device. The guest OS enumerates the virtual hardware device to establish the size for the BARs and establish its view of physical addresses for the memory locations. A server running in the context of the container receives read/write requests from the guest OS, maps the read/write requests to host OS physical address space, and posts responses to the virtual hardware device. Since the guest OS executes memory related operations using its own memory space, exits to the container code are not required to implement storage related actions by the Guest OS. This allows performance of an application executing in the context of the guest OS to approximate performance of an application executing in the context of the host OS.

Method and apparatus for enabling access to storage

A system may include information handling system devices connected together to form a computing cluster utilizing a SCSI interface. Each one of the information handling system devices may include an operating system kernel having a SCSI networking module for encapsulating Internet Protocol (IP) packets for transmitting between the information handling system devices. The system may also include SCSI hardware for connecting the information handling system devices together. The SCSI hardware may be configured to transmit the encapsulated IP packets between the information handling system devices.

Transmitting internet protocol over SCSI in a high availability cluster

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Bengaluru, India

Animesh Singh