Netapp, Inc.

International Business Machines Corporation

Pmc-Sierra, Inc.

Adaptec, Inc.

Microsemi Storage Solutions (u.s.), Inc.

Dean Alan Kalman

John A Scott

Sudha Sundaram

Santosh Ananth Rao

Srikumar Natarajan

Clinton Douglas Knight

Vishwas Venkatesh Pai

Richard Christopher Fore

Baskaran Krishnamurthi

Chandramouli Subramanian

Joseph R Sunday

Ken Sandars

Brett Dolecheck

Mike Reyero

Simon C Chu

Shah Mohammad Rezaul Islam

Linda Ann Riedle

Andrew Boyce McNeill, Jr

Douglas R Chisholm

Raj Lalsangi

Jeffrey Scott MacFarland

Sujatha Pothireddy

Robert Dean Yoder

Albert Andre Asselin

Russell S Padgett

Philip Anthony Richardson

Serafin J Garcia, Jr

Robert V Miller

Ashwin Palani

Luan Anh Hong

Robert Paul Rowe

Marty Eugene Turner

Methods and systems for a networked storage system are provided. One method includes assigning a quality of service (QOS) parameter for a storage volume of a networked storage environment having a first storage node and a second storage node, where the QOS parameter is defined by a throughput value that defines a maximum data transfer rate and a number of input/output (I/O) operations executed within a time period (IOPS); distributing the QOS parameter between the first storage node and the second storage node; determining that throughput credit is available for processing an I/O request for using the storage volume; determining that IOPS credit is available for processing the request by the first storage node; and processing the I/O request when both the throughput credit and the IOPS credit is available.

Methods and systems for managing quality of service in a networked storage environment

Techniques are provided for enforcing policies at a sub-logical unit number (LUN) granularity, such as at a virtual disk or virtual machine granularity. A block range of a virtual disk of a virtual machine stored within a LUN is identified. A quality of service policy object is assigned to the block range to create a quality of service workload object. A target block range targeted by an operation is identified. A quality of service policy of the quality of service policy object is enforced upon the operation using the quality of service workload object based upon the target block range being within the block range of the virtual disk.

Policy enforcement and performance monitoring at sub-LUN granularity

Methods and systems for using a hierarchical consistency group (CG) in a storage system are provided. A parent CG is associated with at least a first child CG having a plurality of storage volumes. An atomic application programming interface (API) provisions the parent CG and the first child CG by allocating storage and storing policies for the parent CG and the first CG. A storage service selected from a backup service, a replication service and a cloning service for the parent CG and the first CG is executed based on the stored policies.

Hierarchical consistency group for storage and associated methods thereof

The present technology relates to managing workload within a storage system. A quality of service parameter proposal associated with managing incoming network traffic is generated and provided to a plurality of nodes. The generated quality of service parameter proposal to manage the incoming network traffic is modified based on a response received from the nodes. The incoming network traffic is serviced using the data from the modified quality of service parameter proposal.

Methods for managing workloads in a storage system and devices thereof

Methods, non-transitory machine readable media, and computing devices that assign a quality of service (QoS) policy to an instantiated storage object. The assigned QoS policy includes a throughput parameter including a number of input/output (I/O) operations per second (IOPS) based on a storage operation block size. Storage operations are executed with the storage object according to the throughput parameter. Metadata is monitored including a size attribute of the storage object. The QoS policy is then automatically modified to adjust the throughput parameter based on the size attribute. This technology configures, manages, and scales performance provided to storage objects based on a monitored used or allocated size of the storage objects. Accordingly, this technology provides more performance for applications as storage object space is increasingly consumed by the applications, thereby improving the functionality and efficiency of storage nodes or controllers that are executing storage operations and managing I/O in storage networks.

Methods for facilitating adaptive quality of service in storage networks and devices thereof

Disclosed are various embodiments for managing paths in a cluster environment. The cluster environment receives a request from a client to access a logical storage volume via a selected one of a plurality of paths defined for the logical storage volume. In response to an access of the logical storage volume via one of the paths, the cluster environment updates a timestamp for the respective path that corresponds to a time of the access via the respective path. Subsequently, the cluster environment determines a remote path defined for the logical storage volume that can be removed based upon comparing a timestamp for the selected path with a timestamp for the remote path.

Techniques for path optimization in storage networks

Various embodiments are generally directed an apparatus and method for receiving an event notification for a pair of cluster nodes having a first cluster node and a second cluster node, the event notification indicating an occurrence of a takeover event or a giveback event. Further, various embodiments may include suspending copying of information from a source logical unit to a target logical unit, transferring one or more processes from the first cluster node to the second cluster node and resuming importation of information from the source logical unit to the target logical unit.

Techniques for importation of information to a storage system

Improved access management techniques for storage networks are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an access control component for execution by the processor circuit to select a set of hosts for which to enable access to a logical storage volume of a network storage cluster, select, from among a plurality of nodes of the network storage cluster, a set of nodes via which to enable access to the logical storage volume by the set of hosts, and generate a storage configuration object comprising a parameter identifying the set of nodes. Other embodiments are described and claimed.

Access management techniques for storage networks

Improved path management techniques for storage networks are described. In one embodiment, for example, an apparatus may comprise a processor circuit, a detection component for execution by the processor circuit to receive an advertisement of a set of paths for accessing a logical storage volume and determine whether the set of paths comprises an optimized path, and a modification component for execution by the processor circuit to, when the set of paths does not comprise an optimized path, send a first instruction to update a reporting nodes parameter for the logical storage volume to identify an owner node for the logical storage volume and a corresponding partner node. Other embodiments are described and claimed.

Path management techniques for storage networks

A method for accessing data in a storage area network is provided. The method initiates with receiving a request for a list of targets on the storage area network. All the targets on the storage area network are exposed to the requestor and authentication requiring a password is requested from the requestor to grant access to the targets on the storage are network. Access to the targets is granted if the password is acceptable, and access to the targets is refused if the password is unacceptable.

Controlled discovery of SAN-attached SCSI devices and access control via login authentication

Growing community of inventors

Cary, NC, United States of America

Dean Alan Kalman