Emc IP Holding Company LLC

Emc Corporation

Michael G Hegerich

Anoop George Ninan

Evgeny Roytman

Thomas L Watson

Michael J Virgil

Andrew S Becher

Katakam Gangadhar

Stalin Saravanakumar Thangapalam

Hala Salim El-Ali

William J Elliott, Iv

Salvatore DeSimone

Anil A Degwekar

Anurag Jain

Stephen A Mendes

Sean R Gallacher

Patrick J Hunt

Eyal Kedem

Selvamanickam Anbalagan

Vladislav Dranov

Bharath Sreekanth

Suresh K Biddappa

Joseph A Condlin

Adam C LaPlante

Bradley J Hughes

Example embodiments of the present invention relate to a method, a system, and a computer program product for replicating a virtual volume. The method includes creating a volume in a first datacenter, the volume in the first datacenter accessible as a virtual volume exposed to the first datacenter and a second datacenter, and establishing replication of the virtual volume to a third datacenter.

Method and apparatus for automated orchestration of long distance protection of virtualized storage

Example embodiments of the present invention relate to a method, a system, and a computer program product for managing a plurality of storage providers to allocate a second storage provider as an active storage provider. The method includes monitoring respective health states of a plurality of storage providers in a storage infrastructure and determining an unhealthy health state of a first storage provider, operating as an active storage provider, among the plurality of storage providers. The method also includes managing the plurality of storage providers to allocate a second storage provider, operating as a standby storage provider, among the plurality of storage providers as the active storage provider.

Method and apparatus for highly available storage management using storage providers

Example embodiments of the present invention relate to a method, a system, and a computer program product for aggregating physical storage pools and ports into a virtual storage array. The method includes selecting a plurality of physical storage pools in a storage environment, selecting a plurality of ports in the storage environment, and aggregating the physical storage pools and ports into a virtual storage array. Example embodiments of the present invention relate to a method, a system, and a computer program product for aggregating a plurality of storage resource from a plurality of physical storage pools into a virtual storage pool. The method includes selecting a plurality of storage resource from a plurality of physical storage pools and aggregating the plurality of resources from the plurality of physical storage pools into a virtual storage pool.

Method and apparatus for storage management using virtual storage arrays and virtual storage pools

A method, computer program product and system enabling provisioning of a storage volume across network resources through the storage provisioning interface, wherein the storage provisioning interface enables provisioning of network resources to enable presentation of a provisioned storage volume, wherein the provisioned storage volume is enabled to be provisioned across a plurality of storage resources across the network resources, and wherein the provisioned storage volume is enabled to be a redundant distributed volume.

Storage provisioning in a data storage environment

In a storage area network, a task manager identifies a set of preconditions for execution of storage management tasks. The set of preconditions establish dependencies between tasks in the storage area network. Execution of the tasks is contingent upon satisfaction of the set of preconditions. In addition, the task manager generates a scheduling data structure based on the set of preconditions in order to schedule execution of the tasks. As a result, the task manager can utilize the scheduling data structure to optimize task execution in the storage area network (e.g., by applying a task optimization algorithm). Such optimization minimizes resource consumption (e.g., thread allocation, processor time commitment, etc.) in the storage area network during execution of the tasks.

Dependency-based task management using set of preconditions to generate scheduling data structure in storage area network

A task analyzer analyzes received tasks to identify and classify corresponding sub-tasks. For example, for each given received task, the task analyzer analyzes a given task to identify a first type of sub-tasks (e.g., sub-tasks that can be executed in any order). The task analyzer also analyzes the given task to identify a second type of sub-tasks (e.g., sub-tasks that are to be executed in parallel) associated with the given task. A task execution manager submits the first type of sub-tasks for execution by a first pool of processing threads, which is dedicated for executing the first type of sub-tasks. The task execution manager submits the second type of sub-tasks for execution by the second pool of processing threads. The second pool of processing threads is dedicated to execute the second type of sub-tasks.

Task execution using multiple pools of processing threads, each pool dedicated to execute different types of sub-tasks

A task manager (or related operation) keeps track of free processing threads amongst multiple processing threads. The task manager receives a request to execute a task. Prior to execution, the task manager processes the task to identify portions of the task that must be executed in parallel. In response to detecting that there is a first processing thread in the pool free to execute a main portion of the task as well as sufficient free additional processing threads in the pool to execute each of the identified sub-tasks in parallel, the task manager submits the task for execution by the pool of multiple processing threads. For accounting purposes, the task manager modifies tracking information to indicate that the first processing thread and additional processing threads are now unavailable for use for execution of other tasks.

Task management using multiple processing threads

Methods and systems for separating presentation and business models for common management platform tasks in a storage area network (SAN) are disclosed. A graphical user interface (GUI) object may be mapped to a task object, which include action(s) performed on a SAN. A selection of task objects from a collection of task objects is received, which are needed to implement the underlying functionality of a GUI object. The collection of task objects is part of a task framework. An arrangement of the task objects according to a hierarchy of the framework is received. The hierarchy includes simple task objects, corresponding to actions performed on a SAN, and composite task objects, corresponding to at least two simple task objects and may include other composite task objects. The arranged task objects are mapped to the GUI object by extending a presentation object to encapsulate the GUI object and the arranged task objects.

Separation of presentation and business models for common management platform tasks in a storage area network

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Holliston, MA, United States of America

Michael G Hegerich