International Business Machines Corporation

Netapp, Inc.

Globalfoundries Inc.

Curtis E Hrischuk

Thomas Edward Creamer

Alma Dimnaku

Aaron J Quirk

Leon Fairbanks

Gary John DeVal

Kevin Faulkner

Ivan M Heninger

Jeffrey Scott MacFarland

Zachary H Jones

Siu Wu

Erik John Burckart

Michael H Dawson

Andrew Russell Low

Peter Duncan Shipton

Christopher J Blythe

Phil Larson

Li Feng Zhang

Charles P Wright

Erich Miles Nahum

Andrzej P Kochut

Hidayatullah Habeebullah Shaikh

Alexei A Karve

John Joseph Stecher

John Michael Tracey

Mark A Johnson

Steven Dale Ims

Michael Joseph Spreitzer

Brian L Pulito

Craig Andrew Lanzen

Xiping Wang

Ryan Andrew Sciampacone

David Neal Brauneis, Jr

James Winston Lawwill, Jr

John Paul Cammarata

Jeffrey Eaton Care

Edward Emil Huth

Henry W Adams, Iii

Vinod Vasant Pai

Dazhi Wang

Andrew D Naumann

Timothy Paul Pickett

Oguz Semerci

James Corvin Fletcher

Brian Keith Martin

Michael S Fulton

Sean Christopher Foley

Abdul Basit

William Carleton Wimer, Ii

Michael James Rydeen

Abhishek Hiregoudar

Ulhas Pai

Steven B Boswell

David Gilbert Roberts

Kushagra Mittal

Peter Adam Smith

Purushottam Jha

Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

Methods and systems for managing a resource in a networked storage environment

A method of distributing functions among a plurality of cores in a multi-core processing environment can include organizing cores of the multi-core processing environment into a plurality of different service pools. Each of the plurality of service pools can be associated with at least one function and have at least one core executing at least one soft co-processor that performs the associated function. The method further can include, responsive to a request from a primary processor to offload a selected function, selecting an available soft co-processor from a service pool associated with the selected function and assigning the selected function to the selected soft co-processor. The method also can include marking the selected soft co-processor as busy and, responsive to receiving an indication from the soft co-processor that processing of the selected function has completed, marking the selected soft co-processor as available.

Soft co-processors to provide a software service function off-load architecture in a multi-core architecture

Methods and systems for a networked storage system are provided. One method includes filtering performance data associated with a resource used in a networked storage environment for reading and writing data at a storage device; and determining available performance capacity of the resource using the filtered performance data. The available performance capacity is based on optimum utilization of the resource and actual utilization of the resource, where utilization of the resource is an indicator of an extent the resource is being used at any given time, the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency and latency is an indicator of delay at the resource in processing the workload.

Methods and systems for determining performance capacity of a resource of a networked storage environment

Methods and systems for a networked storage system are provided. A provisioning engine assigns a plurality of performance parameters in response to a provisioning request for provisioning a workload for storing data in a networked storage environment; identifies a demand for a plurality of resources of the networked storage environment for meeting the provisioning request, transforms historical available performance capacity by filtering any historical performance capacity data related to any transient event; and identifies at least a resource pair that can meet the identified demand based on the transformed historical performance capacity data.

Methods and systems for managing provisioning requests in a networked storage environment

Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.

Optimizing virtual machine synchronization for application software

Various embodiments are generally directed to techniques for determining whether one node of a HA group is able to take over for another. An apparatus includes a model derivation component to derive a model correlating node usage level to node data propagation latency through and to node resource utilization from a first model of a first node of a storage cluster system and a second model of a second node of the storage cluster system, the first model based on a first usage level of the first node under a first usage type, and the second model based on a second usage level of the second node under a second usage type; and an analysis component to determine whether the first node is able to take over for the second node based on applying to the derived model a total usage level derived from the first and second usage levels.

Techniques for estimating ability of nodes to support high availability functionality in a storage cluster system

Embodiments of the present invention address deficiencies of the art in respect to XML schema validation and provide a method, system and computer program product for optimized XML schema validation and XML document parsing. In one embodiment, an XML data processing system can include shared memory; an XML co-processing proxy comprising program code enabled to receive at least one of XML document schema validation and XML document parsing requests from client applications, and at least one XML processing element coupled to the shared memory. In particular, the XML processing element can be configured to perform the at least one of the XML schema validation and XML document parsing on XML documents provided by the XML co-processing proxy. The XML processing element further can be configured to place results of XML schema validation or the XML document parsing in the shared memory.

Extensible markup language (XML) performance optimization on a multi-core central processing unit (CPU) through core assignment

Methods and systems for inter-cluster storage system monitoring and analysis are provided. The method includes monitoring a non-volatile memory delay center for a first storage cluster having a first node and a second node configured to operate as a first high availability pair, where data for a write request to write data to the first node is also written to the second node as well as to a second cluster having a third node and a fourth node, where the third node and the fourth node are also configured to operate as a second high availability pair to store the data for the write request at one or both of the third and fourth node. The non-volatile memory delay center is used to monitor and detect latency due to any delay caused by a non-volatile memory of the first node used as a write cache.

Method and system for monitoring and analyzing quality of service in a metro-cluster

Methods and systems for managing resources in a networked storage environment are provided. One method includes generating a relationship between latency and utilization of a resource in a networked storage environment using observation based, current and historical latency and utilization data, where latency is an indicator of delay at the resource for processing any request and utilization of the resource is an indicator of an extent the resource is being used at any given time; and selecting an optimal point for the generated relationship between latency and utilization, where the optimal point is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency.

Methods and systems using observation based techniques for determining performance capacity of a resource of a networked storage environment

Methods and systems for presenting a plurality of options to a client for using storage space in a cloud computing environment are provided. Each option is associated with a latency target and/or a throughput target. The latency target provides a delay in processing input/output (I/O) requests and the throughput target provides a number of I/O requests that are processed within a unit of time. An existing volume is assigned to the client when the existing volume meets a guaranteed latency target and/or a guaranteed throughput target for an option selected from the plurality of options, otherwise a new volume is allocated.

Method and system for presenting storage in a cloud computing environment

Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes are provided. QOS data is collected for the plurality of storage volumes and includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. An expected range for future QOS data based on the collected QOS data is generated. The process then determines a deviation of each potential bully storage volume of a resource used by any victim storage volume, where the deviation of each bully storage volume is based on a number of current I/O requests (IOPS) that are processed by each potential bully storage volume, a forecasted value of TOPS and a predicted upper threshold TOPS value for each potential bully storage volume; and filters the potential bully storage volumes based on an impact of each potential bully storage volume.

Method and system for monitoring and analyzing quality of service in a storage system

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Durham, NC, United States of America

Curtis E Hrischuk